Made available in DSpace on 2014-08-20T14:33:00Z (GMT). No. of bitstreams: 1 Tese_Marcia_Curi_Hallal.pdf: 1350792 bytes, checksum: af3529288ed4fa95ac333f40d4c6e1c4 (MD5) Previous issue date: 2012-01-13 / The knowledge of the value of the evapotranspiration of the plants determines the ammount of water that must be replaced in the culture so that there are no productivity wastes or attenuation. The values of the reference evapotranspiration are very variable because of the many estimative methods used and also because of the climatic variability of each region. In this sense, the objectives of this work were: to estimate the evapotranspiration using the Penman-Monteith method, considering it as standard due to its precision, and to analyze its values related to the precipitation occurred in the region, identifying the periods where there is necessity of irrigation; to estimate the reference evapotranspiration through indirect methods and compare them to the standard, identifying a simpler method that produces trustable results; to analyze the correlation of the meteorological variables with the standard method in order to identify the most influent variables and, from them, select a method that uses them, with an expression that allows local adjustments in the coefficients. With data of the years between 1971 and 2010 from the Agroclimatologic Station of Pelotas, it was estimated the reference evapotranspiration verifying that the annual average for Pelotas is 2.25 mm d-1. It was also observed that in the period between November 20th and January 20th the average decendial values of precipitation are lower than those of the reference evapotranspiration estimative. From the correlation between methods it was verified that the Blaney-Criddle method is the one that best fits to the standard in all the seasons of the year in all time scales analyzed. Finally, it was concluded that the most influent variables in the reference evapotranspiration for the region of Pelotas are the global solar radiation and the net radiation; and that the modified expression of the Jensen-Haise method, EToJHmod=Rs (0.013T + 0.176), shows good and very good performance, respectively, on summer and spring. / O conhecimento do valor da evapotranspiração das plantas determina a quantidade de água que necessita ser reposta à cultura de maneira que não haja desperdício e atenuação da produtividade. Os valores da evapotranspiração de referência são muito variáveis em função dos vários métodos de estimativa utilizados e também pela variabilidade climática de cada região. Neste sentido, os objetivos deste trabalho foram: estimar a evapotranspiração pelo método de Penman-Monteith, considerando-o como padrão por sua precisão, e analisar seus valores em relação a precipitação ocorrida na região, identificando os períodos de necessidade de irrigação; estimar a evapotranspiração de referência por métodos indiretos e compará-los com o padrão, identificando um método mais simples que produza resultados confiáveis; analisar a correlação das variáveis meteorológicas com o método padrão para identificar as variáveis mais influentes e, a partir destas, selecionar um método que as utilize, com uma expressão que permita ajustes locais nos coeficientes. Com dados da Estação Agroclimatológica de Pelotas entre os anos de 1971 e 2010, estimou-se a evapotranspiração de referência verificando que a média anual para Pelotas é de 2,25 mm d-1; observou-se ainda que no período entre 20 de novembro e 20 de janeiro os valores médios decendiais de precipitação são menores do que os da estimativa da evapotranspiração de referência. A partir da correlação entre os métodos verificou-se que o método de Blaney-Criddle é o que melhor se ajusta ao padrão em todas as estações do ano e em todas as escalas de tempo analisadas. Concluiu-se, por último, que as variáveis mais influentes na evapotranspiração de referência para Pelotas são a radiação solar global e o saldo de radiação; e que a expressão do método de Jensen-Haise modificada, EToJHmod=Rs (0,013T + 0,176) apresenta desempenho bom e muito bom, respectivamente, no verão e na primavera.

This work was written as a cumulative doctoral thesis based on reviewed publications. Climate projections are mainly based on the results of numeric simulations from global or regional climate models. Up to now processes between atmosphere and land surface are only rudimentarily known. This causes one of the major uncertainties in existing models. In order to reduce parameterisation uncertainties and to find a reasonable description of sub grid heterogeneities, the determination and evaluation of parameterisation schemes for modelling require as many datasets from different spatial scales as possible. This work contributes to this topic by implying different datasets from different platforms. Its objective was to analyse the spatial heterogeneity of land surface parameters and energy flux densities obtained from both satellite observations with different spatial and temporal resolutions and in-situ measurements. The investigations were carried out for two target areas in Germany. First, satellite data for the years 2002 and 2003 were analysed and validated from the LITFASS-area (Lindenberg Inhomogeneous Terrain - Fluxes between Atmosphere and Surface: a longterm Study). Second, the data from the experimental field sites of the FLUXNET cluster around Tharandt from the years 2006 and 2007 were used to determine the NDVI (Normalised Difference Vegetation Index for identifying vegetated areas and their "condition"). The core of the study was the determination of land surface characteristics and hence radiant and energy flux densities (net radiation, soil heat flux, sensible and latent heat flux) using the three optical satellite sensors ETM+ (Enhanced Thematic Mapper), MODIS (Moderate Resolution Imaging Spektroradiometer) and AVHRR 3 (Advanced Very High Resolution Radiometer) with different spatial (30 m – 1 km) and temporal (1 day – 16 days) resolution. Different sensor characteristics and different data sets for land use classifications can both lead to deviations of the resultant energy fluxes between the sensors. Thus, sensor differences were quantified, sensor adaptation methods were implemented and a quality analysis for land use classifications was performed. The result is then a single parameterisation scheme that allows for the determination of the energy fluxes from all three different sensors. The main focus was the derivation of the latent heat flux (L.E) using the Penman-Monteith (P-M) approach. Satellite data provide measurements of spectral reflectance and surface temperatures. The P-M approach requires further surface parameters not offered by satellite data. These parameters include the NDVI, Leaf Area Index (LAI), wind speed, relative humidity, vegetation height and roughness length, for example. They were derived indirectly from the given satellite- or in-situ measurements. If no data were available so called default values from literature were taken. The quality of these parameters strongly influenced the exactness of the radiant- and energy fluxes. Sensitivity studies showed that NDVI is one of the most important parameters for determination of evaporation. In contrast it could be shown, that the parameters as vegetation height and measurement height have only minor influence on L.E, which justifies the use of default values for these parameters. Due to the key role of NDVI a field study was carried out investigating the spatial variability and sensitivity of NDVI above five different land use types (winter wheat, corn, grass, beech and spruce). Methods to determine this parameter not only from space (spectral), but also from in-situ tower measurements (broadband) and spectrometer data (spectral) were compared. The best agreement between the methods was found for winter wheat and grass measurements in 2006. For these land use types the results differed by less than 10 % and 15 %, respectively. Larger differences were obtained for the forest measurements. The correlation between the daily MODIS-NDVI data and the in-situ NDVI inferred from the spectrometer and the broadband measurements were r=0.67 and r=0.51, respectively. Subsequently, spatial variability of land surface parameters and fluxes were analysed. The several spatial resolutions of the satellite sensors can be used to describe subscale heterogeneity from one scale to the other and to study the effects of spatial averaging. Therefore land use dependent parameters and fluxes were investigated to find typical distribution patterns of land surface properties and energy fluxes. Implying the distribution patterns found here for albedo and NDVI from ETM+ data in models has high potential to calculate representative energy flux distributions on a coarser scale. The distribution patterns were expressed as probability density functions (PDFs). First results of applying PDFs of albedo, NDVI, relative humidity, and wind speed to the L.E computation are encouraging, and they show the high potential of this method. Summing up, the method of satellite based surface parameter- and energy flux determination has been shown to work reliably on different temporal and spatial scales. The data are useful for detailed analyses of spatial variability of a landscape and for the description of sub grid heterogeneity, as it is needed in model applications. Their usability as input parameters for modelling on different scales is the second important result of this work. The derived vegetation parameters, e.g. LAI and plant cover, possess realistic values and were used as model input for the Lokalmodell of the German Weather Service. This significantly improved the model results for L.E. Additionally, thermal parameter fields, e.g. surface temperature from ETM+ with 30 m spatial resolution, were used as input for SVAT-modelling (Soil-Vegetation-Atmosphere-Transfer scheme). Thus, more realistic L.E results were obtained, providing highly resolved areal information. / Die vorliegende Arbeit wurde auf der Grundlage begutachteter Publikationen als kumulative Dissertation verfasst. Klimaprognosen basieren im Allgemeinen auf den Ergebnissen numerischer Simulationen mit globalen oder regionalen Klimamodellen. Eine der entscheidenden Unsicherheiten bestehender Modelle liegt in dem noch unzureichenden Verständnis von Wechselwirkungsprozessen zwischen der Atmosphäre und Landoberflächen und dem daraus folgenden Fehlen entsprechender Parametrisierungen. Um das Problem einer unsicheren Modell-Parametrisierung aufzugreifen und zum Beispiel subskalige Heterogenität in einer Art und Weise zu beschreiben, dass sie für Modelle nutzbar wird, werden für die Bestimmung und Evaluierung von Modell-Parametrisierungsansätzen so viele Datensätze wie möglich benötigt. Die Arbeit trägt zu diesem Thema durch die Verwendung verschiedener Datensätze unterschiedlicher Plattformen bei. Ziel der Studie war es, aus Satellitendaten verschiedener räumlicher und zeitlicher Auflösung sowie aus in-situ Daten die räumliche Heterogenität von Landoberflächenparametern und Energieflussdichten zu bestimmen. Die Untersuchungen wurden für zwei Zielgebiete in Deutschland durchgeführt. Für das LITFASS-Gebiet (Lindenberg Inhomogeneous Terrain - Fluxes between Atmosphere and Surface: a longterm Study) wurden Satellitendaten der Jahre 2002 und 2003 untersucht und validiert. Zusätzlich wurde im Rahmen dieser Arbeit eine NDVI-Studie (Normalisierter Differenzen Vegetations Index: Maß zur Detektierung von Vegetationflächen, deren Vitalität und Dichte) auf den Testflächen des FLUXNET Clusters um Tharandt in den Jahren 2006 und 2007 realisiert. Die Grundlage der Arbeit bildete die Bestimmung von Landoberflächeneigenschaften und daraus resultierenden Energieflüssen, auf Basis dreier optischer Sensoren (ETM+ (Enhanced Thematic Mapper), MODIS (Moderate Resolution Imaging Spectroradiometer) und AVHRR 3 (Advanced Very High Resolution Radiometer)) mit unterschiedlichen räumlichen (30 m – 1 km) und zeitlichen (1 – 16 Tage) Auflösungen. Unterschiedliche Sensorcharakteristiken, sowie die Verwendung verschiedener, zum Teil ungenauer Datensätze zur Landnutzungsklassifikation führen zu Abweichungen in den Ergebnissen der einzelnen Sensoren. Durch die Quantifizierung der Sensorunterschiede, die Anpassung der Ergebnisse der Sensoren aneinander und eine Qualitätsanalyse von verschiedenen Landnutzungsklassifikationen, wurde eine Basis für eine vergleichbare Parametrisierung der Oberflächenparameter und damit auch für die daraus berechneten Energieflüsse geschaffen. Der Schwerpunkt lag dabei auf der Bestimmung des latenten Wärmestromes (L.E) mit Hilfe des Penman-Monteith Ansatzes (P-M). Satellitendaten liefern Messwerte der spektralen Reflexion und der Oberflächentemperatur. Die P-M Gleichung erfordert weitere Oberflächenparameter wie zum Beispiel den NDVI, den Blattflächenindex (LAI), die Windgeschwindigkeit, die relative Luftfeuchte, die Vegetationshöhe oder die Rauhigkeitslänge, die jedoch aus den Satellitendaten nicht bestimmt werden können. Sie müssen indirekt aus den oben genannten Messgrößen der Satelliten oder aus in-situ Messungen abgeleitet werden. Stehen auch aus diesen Quellen keine Daten zur Verfügung, können sogenannte Standard- (Default-) Werte aus der Literatur verwendet werden. Die Qualität dieser Parameter hat einen großen Einfluss auf die Bestimmung der Strahlungs- und Energieflüsse. Sensitivitätsstudien im Rahmen der Arbeit zeigen die Bedeutung des NDVI als einen der wichtigsten Parameter in der Verdunstungsbestimmung nach P-M. Im Gegensatz dazu wurde deutlich, dass z. B. die Vegetationshöhe und die Messhöhe einen relativ kleinen Einfluss auf L.E haben, so dass für diese Parameter die Verwendung von Standardwerten gerechtfertigt ist. Aufgrund der Schlüsselrolle, welche der NDVI in der Bestimmung der Verdunstung einnimmt, wurden im Rahmen einer Feldstudie Untersuchungen des NDVI über fünf verschiedenen Landnutzungstypen (Winterweizen, Mais, Gras, Buche und Fichte) hinsichtlich seiner räumlichen Variabilität und Sensitivität, unternommen. Dabei wurden verschiedene Bestimmungsmethoden getestet, in welchen der NDVI nicht nur aus Satellitendaten (spektral), sondern auch aus in-situ Turmmessungen (breitbandig) und Spekrometermessungen (spektral) ermittelt wird. Die besten Übereinstimmungen der Ergebnisse wurden dabei für Winterweizen und Gras für das Jahr 2006 gefunden. Für diese Landnutzungstypen betrugen die Maximaldifferenzen aus den drei Methoden jeweils 10 beziehungsweise 15 %. Deutlichere Differenzen ließen sich für die Forstflächen verzeichnen. Die Korrelation zwischen Satelliten- und Spektrometermessung betrug r=0.67. Für Satelliten- und Turmmessungen ergab sich ein Wert von r=0.5. Basierend auf den beschriebenen Vorarbeiten wurde die räumliche Variabilität von Landoberflächenparametern und Flüssen untersucht. Die unterschiedlichen räumlichen Auflösungen der Satelliten können genutzt werden, um zum einen die subskalige Heterogenität zu beschreiben, aber auch, um den Effekt räumlicher Mittelungsverfahren zu testen. Dafür wurden Parameter und Energieflüsse in Abhängigkeit der Landnutzungsklasse untersucht, um typische Verteilungsmuster dieser Größen zu finden. Die Verwendung der Verteilungsmuster (in Form von Wahrscheinlichkeitsdichteverteilungen – PDFs), die für die Albedo und den NDVI aus ETM+ Daten gefunden wurden, bietet ein hohes Potential als Modellinput, um repräsentative PDFs der Energieflüsse auf gröberen Skalen zu erhalten. Die ersten Ergebnisse in der Verwendung der PDFs von Albedo, NDVI, relativer Luftfeuchtigkeit und Windgeschwindigkeit für die Bestimmung von L.E waren sehr ermutigend und zeigten das hohe Potential der Methode. Zusammenfassend lässt sich feststellen, dass die Methode der Ableitung von Oberflächenparametern und Energieflüssen aus Satellitendaten zuverlässige Daten auf verschiedenen zeitlichen und räumlichen Skalen liefert. Die Daten sind für eine detaillierte Analyse der räumlichen Variabilität der Landschaft und für die Beschreibung der subskaligen Heterogenität, wie sie oft in Modellanwendungen benötigt wird, geeignet. Ihre Nutzbarkeit als Inputparameter in Modellen auf verschiedenen Skalen ist das zweite wichtige Ergebnis der Arbeit. Aus Satellitendaten abgeleitete Vegetationsparameter wie der LAI oder die Pflanzenbedeckung liefern realistische Ergebnisse, die zum Beispiel als Modellinput in das Lokalmodell des Deutschen Wetterdienstes implementiert werden konnten und die Modellergebnisse von L.E signifikant verbessert haben. Aber auch thermale Parameter, wie beispielsweise die Oberflächentemperatur aus ETM+ Daten in 30 m Auflösung, wurden als Eingabeparameter eines Soil-Vegetation-Atmosphere-Transfer-Modells (SVAT) verwendet. Dadurch erhält man realistischere Ergebnisse für L.E, die hochaufgelöste Flächeninformationen bieten.

This work was written as a cumulative doctoral thesis based on reviewed publications. Climate projections are mainly based on the results of numeric simulations from global or regional climate models. Up to now processes between atmosphere and land surface are only rudimentarily known. This causes one of the major uncertainties in existing models. In order to reduce parameterisation uncertainties and to find a reasonable description of sub grid heterogeneities, the determination and evaluation of parameterisation schemes for modelling require as many datasets from different spatial scales as possible. This work contributes to this topic by implying different datasets from different platforms. Its objective was to analyse the spatial heterogeneity of land surface parameters and energy flux densities obtained from both satellite observations with different spatial and temporal resolutions and in-situ measurements. The investigations were carried out for two target areas in Germany. First, satellite data for the years 2002 and 2003 were analysed and validated from the LITFASS-area (Lindenberg Inhomogeneous Terrain - Fluxes between Atmosphere and Surface: a longterm Study). Second, the data from the experimental field sites of the FLUXNET cluster around Tharandt from the years 2006 and 2007 were used to determine the NDVI (Normalised Difference Vegetation Index for identifying vegetated areas and their "condition"). The core of the study was the determination of land surface characteristics and hence radiant and energy flux densities (net radiation, soil heat flux, sensible and latent heat flux) using the three optical satellite sensors ETM+ (Enhanced Thematic Mapper), MODIS (Moderate Resolution Imaging Spektroradiometer) and AVHRR 3 (Advanced Very High Resolution Radiometer) with different spatial (30 m – 1 km) and temporal (1 day – 16 days) resolution. Different sensor characteristics and different data sets for land use classifications can both lead to deviations of the resultant energy fluxes between the sensors. Thus, sensor differences were quantified, sensor adaptation methods were implemented and a quality analysis for land use classifications was performed. The result is then a single parameterisation scheme that allows for the determination of the energy fluxes from all three different sensors. The main focus was the derivation of the latent heat flux (L.E) using the Penman-Monteith (P-M) approach. Satellite data provide measurements of spectral reflectance and surface temperatures. The P-M approach requires further surface parameters not offered by satellite data. These parameters include the NDVI, Leaf Area Index (LAI), wind speed, relative humidity, vegetation height and roughness length, for example. They were derived indirectly from the given satellite- or in-situ measurements. If no data were available so called default values from literature were taken. The quality of these parameters strongly influenced the exactness of the radiant- and energy fluxes. Sensitivity studies showed that NDVI is one of the most important parameters for determination of evaporation. In contrast it could be shown, that the parameters as vegetation height and measurement height have only minor influence on L.E, which justifies the use of default values for these parameters. Due to the key role of NDVI a field study was carried out investigating the spatial variability and sensitivity of NDVI above five different land use types (winter wheat, corn, grass, beech and spruce). Methods to determine this parameter not only from space (spectral), but also from in-situ tower measurements (broadband) and spectrometer data (spectral) were compared. The best agreement between the methods was found for winter wheat and grass measurements in 2006. For these land use types the results differed by less than 10 % and 15 %, respectively. Larger differences were obtained for the forest measurements. The correlation between the daily MODIS-NDVI data and the in-situ NDVI inferred from the spectrometer and the broadband measurements were r=0.67 and r=0.51, respectively. Subsequently, spatial variability of land surface parameters and fluxes were analysed. The several spatial resolutions of the satellite sensors can be used to describe subscale heterogeneity from one scale to the other and to study the effects of spatial averaging. Therefore land use dependent parameters and fluxes were investigated to find typical distribution patterns of land surface properties and energy fluxes. Implying the distribution patterns found here for albedo and NDVI from ETM+ data in models has high potential to calculate representative energy flux distributions on a coarser scale. The distribution patterns were expressed as probability density functions (PDFs). First results of applying PDFs of albedo, NDVI, relative humidity, and wind speed to the L.E computation are encouraging, and they show the high potential of this method. Summing up, the method of satellite based surface parameter- and energy flux determination has been shown to work reliably on different temporal and spatial scales. The data are useful for detailed analyses of spatial variability of a landscape and for the description of sub grid heterogeneity, as it is needed in model applications. Their usability as input parameters for modelling on different scales is the second important result of this work. The derived vegetation parameters, e.g. LAI and plant cover, possess realistic values and were used as model input for the Lokalmodell of the German Weather Service. This significantly improved the model results for L.E. Additionally, thermal parameter fields, e.g. surface temperature from ETM+ with 30 m spatial resolution, were used as input for SVAT-modelling (Soil-Vegetation-Atmosphere-Transfer scheme). Thus, more realistic L.E results were obtained, providing highly resolved areal information. / Die vorliegende Arbeit wurde auf der Grundlage begutachteter Publikationen als kumulative Dissertation verfasst. Klimaprognosen basieren im Allgemeinen auf den Ergebnissen numerischer Simulationen mit globalen oder regionalen Klimamodellen. Eine der entscheidenden Unsicherheiten bestehender Modelle liegt in dem noch unzureichenden Verständnis von Wechselwirkungsprozessen zwischen der Atmosphäre und Landoberflächen und dem daraus folgenden Fehlen entsprechender Parametrisierungen. Um das Problem einer unsicheren Modell-Parametrisierung aufzugreifen und zum Beispiel subskalige Heterogenität in einer Art und Weise zu beschreiben, dass sie für Modelle nutzbar wird, werden für die Bestimmung und Evaluierung von Modell-Parametrisierungsansätzen so viele Datensätze wie möglich benötigt. Die Arbeit trägt zu diesem Thema durch die Verwendung verschiedener Datensätze unterschiedlicher Plattformen bei. Ziel der Studie war es, aus Satellitendaten verschiedener räumlicher und zeitlicher Auflösung sowie aus in-situ Daten die räumliche Heterogenität von Landoberflächenparametern und Energieflussdichten zu bestimmen. Die Untersuchungen wurden für zwei Zielgebiete in Deutschland durchgeführt. Für das LITFASS-Gebiet (Lindenberg Inhomogeneous Terrain - Fluxes between Atmosphere and Surface: a longterm Study) wurden Satellitendaten der Jahre 2002 und 2003 untersucht und validiert. Zusätzlich wurde im Rahmen dieser Arbeit eine NDVI-Studie (Normalisierter Differenzen Vegetations Index: Maß zur Detektierung von Vegetationflächen, deren Vitalität und Dichte) auf den Testflächen des FLUXNET Clusters um Tharandt in den Jahren 2006 und 2007 realisiert. Die Grundlage der Arbeit bildete die Bestimmung von Landoberflächeneigenschaften und daraus resultierenden Energieflüssen, auf Basis dreier optischer Sensoren (ETM+ (Enhanced Thematic Mapper), MODIS (Moderate Resolution Imaging Spectroradiometer) und AVHRR 3 (Advanced Very High Resolution Radiometer)) mit unterschiedlichen räumlichen (30 m – 1 km) und zeitlichen (1 – 16 Tage) Auflösungen. Unterschiedliche Sensorcharakteristiken, sowie die Verwendung verschiedener, zum Teil ungenauer Datensätze zur Landnutzungsklassifikation führen zu Abweichungen in den Ergebnissen der einzelnen Sensoren. Durch die Quantifizierung der Sensorunterschiede, die Anpassung der Ergebnisse der Sensoren aneinander und eine Qualitätsanalyse von verschiedenen Landnutzungsklassifikationen, wurde eine Basis für eine vergleichbare Parametrisierung der Oberflächenparameter und damit auch für die daraus berechneten Energieflüsse geschaffen. Der Schwerpunkt lag dabei auf der Bestimmung des latenten Wärmestromes (L.E) mit Hilfe des Penman-Monteith Ansatzes (P-M). Satellitendaten liefern Messwerte der spektralen Reflexion und der Oberflächentemperatur. Die P-M Gleichung erfordert weitere Oberflächenparameter wie zum Beispiel den NDVI, den Blattflächenindex (LAI), die Windgeschwindigkeit, die relative Luftfeuchte, die Vegetationshöhe oder die Rauhigkeitslänge, die jedoch aus den Satellitendaten nicht bestimmt werden können. Sie müssen indirekt aus den oben genannten Messgrößen der Satelliten oder aus in-situ Messungen abgeleitet werden. Stehen auch aus diesen Quellen keine Daten zur Verfügung, können sogenannte Standard- (Default-) Werte aus der Literatur verwendet werden. Die Qualität dieser Parameter hat einen großen Einfluss auf die Bestimmung der Strahlungs- und Energieflüsse. Sensitivitätsstudien im Rahmen der Arbeit zeigen die Bedeutung des NDVI als einen der wichtigsten Parameter in der Verdunstungsbestimmung nach P-M. Im Gegensatz dazu wurde deutlich, dass z. B. die Vegetationshöhe und die Messhöhe einen relativ kleinen Einfluss auf L.E haben, so dass für diese Parameter die Verwendung von Standardwerten gerechtfertigt ist. Aufgrund der Schlüsselrolle, welche der NDVI in der Bestimmung der Verdunstung einnimmt, wurden im Rahmen einer Feldstudie Untersuchungen des NDVI über fünf verschiedenen Landnutzungstypen (Winterweizen, Mais, Gras, Buche und Fichte) hinsichtlich seiner räumlichen Variabilität und Sensitivität, unternommen. Dabei wurden verschiedene Bestimmungsmethoden getestet, in welchen der NDVI nicht nur aus Satellitendaten (spektral), sondern auch aus in-situ Turmmessungen (breitbandig) und Spekrometermessungen (spektral) ermittelt wird. Die besten Übereinstimmungen der Ergebnisse wurden dabei für Winterweizen und Gras für das Jahr 2006 gefunden. Für diese Landnutzungstypen betrugen die Maximaldifferenzen aus den drei Methoden jeweils 10 beziehungsweise 15 %. Deutlichere Differenzen ließen sich für die Forstflächen verzeichnen. Die Korrelation zwischen Satelliten- und Spektrometermessung betrug r=0.67. Für Satelliten- und Turmmessungen ergab sich ein Wert von r=0.5. Basierend auf den beschriebenen Vorarbeiten wurde die räumliche Variabilität von Landoberflächenparametern und Flüssen untersucht. Die unterschiedlichen räumlichen Auflösungen der Satelliten können genutzt werden, um zum einen die subskalige Heterogenität zu beschreiben, aber auch, um den Effekt räumlicher Mittelungsverfahren zu testen. Dafür wurden Parameter und Energieflüsse in Abhängigkeit der Landnutzungsklasse untersucht, um typische Verteilungsmuster dieser Größen zu finden. Die Verwendung der Verteilungsmuster (in Form von Wahrscheinlichkeitsdichteverteilungen – PDFs), die für die Albedo und den NDVI aus ETM+ Daten gefunden wurden, bietet ein hohes Potential als Modellinput, um repräsentative PDFs der Energieflüsse auf gröberen Skalen zu erhalten. Die ersten Ergebnisse in der Verwendung der PDFs von Albedo, NDVI, relativer Luftfeuchtigkeit und Windgeschwindigkeit für die Bestimmung von L.E waren sehr ermutigend und zeigten das hohe Potential der Methode. Zusammenfassend lässt sich feststellen, dass die Methode der Ableitung von Oberflächenparametern und Energieflüssen aus Satellitendaten zuverlässige Daten auf verschiedenen zeitlichen und räumlichen Skalen liefert. Die Daten sind für eine detaillierte Analyse der räumlichen Variabilität der Landschaft und für die Beschreibung der subskaligen Heterogenität, wie sie oft in Modellanwendungen benötigt wird, geeignet. Ihre Nutzbarkeit als Inputparameter in Modellen auf verschiedenen Skalen ist das zweite wichtige Ergebnis der Arbeit. Aus Satellitendaten abgeleitete Vegetationsparameter wie der LAI oder die Pflanzenbedeckung liefern realistische Ergebnisse, die zum Beispiel als Modellinput in das Lokalmodell des Deutschen Wetterdienstes implementiert werden konnten und die Modellergebnisse von L.E signifikant verbessert haben. Aber auch thermale Parameter, wie beispielsweise die Oberflächentemperatur aus ETM+ Daten in 30 m Auflösung, wurden als Eingabeparameter eines Soil-Vegetation-Atmosphere-Transfer-Modells (SVAT) verwendet. Dadurch erhält man realistischere Ergebnisse für L.E, die hochaufgelöste Flächeninformationen bieten.

O cafeeiro arábica é extensamente cultivado em regiões tropicais, sendo cultura de grande importância econômica para o Brasil. Atualmente, ele é cultivado em áreas com deficiência hídrica, para as quais a irrigação suplementar é necessária para aumentar a produtividade e a qualidade da bebida. O aumento da eficiência da prática irrigacionista exige em primeiro lugar informação sobre o consumo hídrico do cafezal. Tendo em vista a falta de informações sobre esse consumo e, também, o fato de que os plantios adensados têm tido grande avanço no país, o presente estudo foi realizado com a finalidade de determinar a evapotranspiração de um cafezal Mundo Novo Apuatã e sua partição em transpiração dos cafeeiros e evapotranspiração da entrelinha. O cafezal, localizado em Piracicaba/SP, tinha plantio adensado (2500plantas/ha) e era irrigado por gotejamento. A evapotranspiração do cafezal foi determinada pelo método da razão de Bowen, enquanto que a transpiração foi estimada pelo modelo de Penman-Monteith adaptado, sendo este comparado com medidas de fluxo de seiva pelo método do balanço de calor no caule. Nessa confrontação, verificou-se razoável concordância entre a transpiração diária pelo modelo e o fluxo de seiva, havendo discordância em duas da quatro plantas avaliadas, provavelmente devido à forma de determinação da energia radiante absorvida pelas plantas e à relação entre esta e a área foliar dos cafeeiros, bem como aos erros introduzidos pela estimativa da condutância foliar à difusão de vapor. Observou-se que a transpiração dos cafeeiros representou 90% da evapotranspiração do cafezal no período em que a entrelinha da cultura tinha solo sem vegetação viva e 69% no período subseqüente, quando a entrelinha tinha vegetação desenvolvida. Com a separação da evapotranspiração em seus dois componentes, foi possível determinar que o coeficiente basal foi igual a 0,8 e que o coeficiente evaporativo igual 0,2, com um coeficiente de cultura global próximo da unidade. / Coffee arabica plants are extensively cultivated in tropical regions and it is a crop of great economic importance for Brazil. Currently, it is cultivated in areas with water deficits for which the irrigation is necessary to increase yields and drink quality. To increase irrigation efficiency one needs to know the water consumption of coffee plantation, information that is not easyly get specially in high density coffee plantations. The present study was carried out in order to determine the evapotranspiration of a coffee plantation Novo Mundo Apuatã and its partition in transpiration of coffee plants and interrow evapotranspiration. The coffee plantarion had a high density (2500 plants/ha) and drip irrigation. Evapotranspiration of coffee plantation was determined by Bowen ratio method, while transpiration was obtained by Penman-Monteith model, where this last one was compared with sap flow measures by heat balance method in stem. The comparison showed reasonable agreement between daily transpiration by model and sap flow data, with major disagreement in two of four evaluated plants wich was probably due to technique of determination of radiant energy absorbed by coffee plants. Moreover, the relation between the amount of absorbed radiant energy and leaf area of plants seems to contribute to discrepances between sap flow and estimated transpiration. The leaf resistance also introduced some error in estimated transpiration by Penman-Monteith model. It was verified that coffee plants transpiration represented 90% of total evapotranspiration of coffee plantation in the period when interrows had no living vegetation. In the subsequent period, when vegetation was developed, transpiration decrease to 69% of total evapotranspiration. Dividing evapotranspiration in its two components, it was determined that basal crop coefficient and evaporative coefficient were equal to 0,8 and 0,2, respectively, with a global crop coefficient next to unit.

O cafeeiro arábica é extensamente cultivado em regiões tropicais, sendo cultura de grande importância econômica para o Brasil. Atualmente, ele é cultivado em áreas com deficiência hídrica, para as quais a irrigação suplementar é necessária para aumentar a produtividade e a qualidade da bebida. O aumento da eficiência da prática irrigacionista exige em primeiro lugar informação sobre o consumo hídrico do cafezal. Tendo em vista a falta de informações sobre esse consumo e, também, o fato de que os plantios adensados têm tido grande avanço no país, o presente estudo foi realizado com a finalidade de determinar a evapotranspiração de um cafezal Mundo Novo Apuatã e sua partição em transpiração dos cafeeiros e evapotranspiração da entrelinha. O cafezal, localizado em Piracicaba/SP, tinha plantio adensado (2500plantas/ha) e era irrigado por gotejamento. A evapotranspiração do cafezal foi determinada pelo método da razão de Bowen, enquanto que a transpiração foi estimada pelo modelo de Penman-Monteith adaptado, sendo este comparado com medidas de fluxo de seiva pelo método do balanço de calor no caule. Nessa confrontação, verificou-se razoável concordância entre a transpiração diária pelo modelo e o fluxo de seiva, havendo discordância em duas da quatro plantas avaliadas, provavelmente devido à forma de determinação da energia radiante absorvida pelas plantas e à relação entre esta e a área foliar dos cafeeiros, bem como aos erros introduzidos pela estimativa da condutância foliar à difusão de vapor. Observou-se que a transpiração dos cafeeiros representou 90% da evapotranspiração do cafezal no período em que a entrelinha da cultura tinha solo sem vegetação viva e 69% no período subseqüente, quando a entrelinha tinha vegetação desenvolvida. Com a separação da evapotranspiração em seus dois componentes, foi possível determinar que o coeficiente basal foi igual a 0,8 e que o coeficiente evaporativo igual 0,2, com um coeficiente de cultura global próximo da unidade. / Coffee arabica plants are extensively cultivated in tropical regions and it is a crop of great economic importance for Brazil. Currently, it is cultivated in areas with water deficits for which the irrigation is necessary to increase yields and drink quality. To increase irrigation efficiency one needs to know the water consumption of coffee plantation, information that is not easyly get specially in high density coffee plantations. The present study was carried out in order to determine the evapotranspiration of a coffee plantation Novo Mundo Apuatã and its partition in transpiration of coffee plants and interrow evapotranspiration. The coffee plantarion had a high density (2500 plants/ha) and drip irrigation. Evapotranspiration of coffee plantation was determined by Bowen ratio method, while transpiration was obtained by Penman-Monteith model, where this last one was compared with sap flow measures by heat balance method in stem. The comparison showed reasonable agreement between daily transpiration by model and sap flow data, with major disagreement in two of four evaluated plants wich was probably due to technique of determination of radiant energy absorbed by coffee plants. Moreover, the relation between the amount of absorbed radiant energy and leaf area of plants seems to contribute to discrepances between sap flow and estimated transpiration. The leaf resistance also introduced some error in estimated transpiration by Penman-Monteith model. It was verified that coffee plants transpiration represented 90% of total evapotranspiration of coffee plantation in the period when interrows had no living vegetation. In the subsequent period, when vegetation was developed, transpiration decrease to 69% of total evapotranspiration. Dividing evapotranspiration in its two components, it was determined that basal crop coefficient and evaporative coefficient were equal to 0,8 and 0,2, respectively, with a global crop coefficient next to unit.

SOUSA, Geocleber Gomes de Sousa. Manejos da irrigação e da abuação potássica fertirrigada e aplicada pelo método convencional na cultura do amendoim. 2011. : 82 f. Tese (doutorado) - Universidade Federal do Ceará, Centro de Ciências Agrárias, Departamento de Engenharia Agrícola, Programa de Pós-Graduação em Engenharia Agrícola, Fortaleza-CE, 2011. / Submitted by demia Maia (demiamlm@gmail.com) on 2016-08-05T13:21:53Z No. of bitstreams: 1 2011_tese_ggsousa.pdf: 1375143 bytes, checksum: e92a56bdddf411af65ed2e8942e5c9a2 (MD5) / Approved for entry into archive by demia Maia (demiamlm@gmail.com) on 2016-08-05T13:22:17Z (GMT) No. of bitstreams: 1 2011_tese_ggsousa.pdf: 1375143 bytes, checksum: e92a56bdddf411af65ed2e8942e5c9a2 (MD5) / Made available in DSpace on 2016-08-05T13:22:17Z (GMT). No. of bitstreams: 1 2011_tese_ggsousa.pdf: 1375143 bytes, checksum: e92a56bdddf411af65ed2e8942e5c9a2 (MD5) Previous issue date: 2011 / A cultura do amendoim (Arachis hypogaea L.) é uma importante alternativa para a agricultura irrigada da região Nordeste, devido ao fácil manejo, tolerância às condições climáticas adversas e ao mercado atraente na indústria alimentícia. Aliada a esse aspecto, o uso da adubação potássica pelo método convencional e fertirrigada pode ser uma opção de incremento na produtividade dessa cultura. Nesse sentido, objetivou-se avaliar: os efeitos de diferentes lâminas, frequências e supressões da irrigação e de doses de potássio aplicadas de forma convencional e por fertirrigação na cultura do amendoim. O experimento foi conduzido em campo, em Argissolo Vermelho Amarelo, na área experimental da Estação Agrometereológica da Universidade Federal do Ceará, Fortaleza, Ceará. O delineamento utilizado nos experimentos: lâminas, frequência e supressão da irrigação foi de blocos ao acaso, com cinco tratamentos e cinco repetições. Os tratamentos correspondentes às lâminas de irrigação foram: 25, 50, 75, 100 e 150% da evapotranspiração de referência (ETo, mm dia-1) com base na ETo de Penma-Monteith; os de frequências de irrigação, de acordo com os dias do intervalo de aplicação da lâmina de água acumulada, foram: F2, F4, F6, F8 e F10 e os de supressão da irrigação, de acordo com o dia após a semeadura (DAS) em se sucedeu, foram: S45, S54, S63, S72 e S90. Para o experimento com doses de potássio aplicadas de forma convencional e fertirrigada, o delineamento foi em blocos ao acaso com sete tratamentos e quatro repetições. Os tratamentos, de acordo com percentual da dose recomendada (50 kg ha-1 de K2O) e a forma de aplicação, foram: T0 (Controle), TC50 (50% da dose recomendada aplicada de forma convencional), TF50 (50% da dose recomendada aplicada de forma fertirrigada), TC100 (100% da dose recomendada aplicada de forma convencional), TF100 (100% da dose recomendada aplicada de forma fertirrigada), TC200 (200% da dose recomendada aplicada de forma convencional) e TF200 (200% da dose recomendada aplicada de forma fertirrigada). Aos 60 DAS, nos experimentos de lâmina e frequência de irrigação foram colhidas amostras destrutivas para análise de crescimento em: altura de planta, número de folhas, diâmetro do caule e matéria seca da parte aérea. A colheita final dos experimentos foi realizada aos 90 DAS, quando cinco plantas da área útil foram colhidas e colocadas para secagem em estufa telada, sendo em seguida analisadas as seguintes variáveis: número de ginóforos, número de vagens por planta, tamanho de vagem, peso de vagem, peso de 100 sementes e produtividade. No experimento com lâminas de irrigação concluiram-se que a irrigação proporcionou aumento linear sob o número de folhas e a matéria seca da parte aérea nas plantas de amendoim, sendo a lâmina de 522,17 mm a que proporcionou melhor resposta. O nível de irrigação estimado em 146,5% da EToPM proporcionou a maior altura de plantas (40,31 cm). A lâmina de irrigação estimada em 106,66% da EToPM proporcionaria a maior produtividade (1.339,10 kg ha-1) do amendoim. A melhor frequência de irrigação para o crescimento foi a cada dois dias, sem comprometer a produtividade. A supressão da irrigação a partir dos 45 DAS reduziu significativamente o número de vagens por planta, peso de vagem, cumprimento de vagem e peso de 100 sementes. O tratamento sem supressão da irrigação promoveu a maior produtividade de amendoim (1271,8 kg ha-1). As doses e formas de aplicação de K2O não diferiram estatisticamente da testemunha para as variáveis: comprimento de vagem e peso de 100 sementes. A dose de potássio fertirrigada para maximizar a produtividade (1.530,68 kg ha-1) foi estimada em 69,39 kg ha-1de K2O, e quando estimada para aplicação convencional (65,80 kg ha-1de K2O) a produtividade seria de 1.092,22 kg ha-1. Em ambas as formas de aplicação, as doses estimadas para maximizar a produtividade foram superiores à recomendada em 38 e 32%, respectivamente.

Made available in DSpace on 2014-06-11T19:32:42Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-04-25Bitstream added on 2014-06-13T19:43:20Z : No. of bitstreams: 1 sales_jc_dr_botfca.pdf: 1114772 bytes, checksum: d04ce023a8a99241415c81fac98d9d91 (MD5) / Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Universidade Estadual Paulista (UNESP) / No Estado do Ceará muitos projetos de irrigação tem sido desenvolvidos utilizando estimativas da evapotranspiração de referência baseados apenas em dados de temperatura, sem avaliar a eficácia do método. O estudo teve como objetivo verificar a precisão dos métodos de estimativas da evapotranspiração de referência (ETo), propostos por Hargreaves, Thornthwaite, Linacre, Jensen-Haise, Makking, Priestley & Taylor, Benavides & Lopez, Hargreaves-Samani, Camargo, Kharrufa, Hamon, Radiação (FAO-24, Organização das Nações Unidas para Alimentação e Agricultura) e Blaney-Criddle (FREVET et., 1983), para o Estado Ceará; aplicando a equação de Penman-Monteith (FAO-56), como padrão em comparação com os métodos propostos. Foram utilizados dados de temperatura, umidade relativa, insolação e velocidade do vento de postos meteorológicos de 16 municípios, a partir de uma série histórica iniciada em 1958 e concluída em 1999 por entidades distintas, sendo que não foi possível manter o mesmo intervalo de tempo em cada localidade, que possuem informações necessários para aplicação da metodologia FAO-56. Na análise dos resultados, foi aplicado estudo estatístico por meio de regressão linear e correlação entre as variáveis estudadas. Em função dos resultados da análise estatística, traçou-se o mapa das isolinhas com os dados médios de evapotranspiração de referência medidos na estação do ano de maior demanda de água no processo de evapotranspiração. Foram determinadas as demandas hídricas potenciais das... / Reference evapotranspiration based only on temperature data, without evaluating of the effectiveness method. The present study had as objective verifies the precision of the methods of estimates of the reference evapotranspiration (ETo) proposed by Hargreves, Thornwaite, Linacre, Jensen-Haise, Makking, Priestley & Taylor, Benavides & Lopez, Hargreaves-Samani, Camargo, Kharrufa, Hamon, Radiation (FAO-24, Food and Agricultural Organization of the United Nations) and Blaney-Criddle (FREVET et al., 1983) in the State of Ceará; applying the equation of Penman-Monteith (FAO-56), as pattern in the comparison of the proposed method Climatic data of temperature were used, humid relative, heatstroke and wind speed from meteorological stations of 16 municipal districts in the State of Ceará, from a historical series began in 1958 and completed in 1999 by different entities, and it was not possible to maintain the same interval of time in each location, they have got necessary data for methodology application FAO-56. In the analysis of the results a statistic study was applied through the linear regression and correlation among the several ones studied. In function of the results of the statistical analysis, the map of the isolinhas was traced with the medium data of measured reference evapotranspiration process. They were certain the demands for potential hidricas of the main fruit cultures in their more significant irrigation poles. The statistics studies reveal that the method of Blaney-Criddle, presented statistics results more significant in relation to the other methods when compared with the method...

Tendo em vista a distribuição irregular de chuvas no nordeste, a irrigação se torna de grande importância, uma vez que passa a ser a principal alternativa racional de exploração das culturas agrícolas. Num projeto de irrigação, a evapotranspiração da cultura (ETc) é a variável mais importante, pois determina qual a quantidade de água a ser reposta, de forma a manter a produtividade a níveis rentáveis. Sendo a ETc função da evapotranspiração de referência (ETo), a determinação desta passa a ser fundamental em projetos, no planejamento e no manejo de irrigação. Dentro deste contexto o presente estudo teve por objetivo avaliar a estimativa da ETo, utilizando, para tanto, medidas lisimétricas e métodos de estimativa que foram comparados com valores de ETo obtidos com a equação de Penman-Monteith (Allen et al., 1998). Os métodos de estimativa de ETo empregados foram: Thornthwaite (1948), Thornthwaite modificado por Camargo et al. (1999), Tanque de Evaporação Classe A (Allen et al., 1998), Hargreaves & Samani (1985) e Priestley & Taylor (1972). A análise foi realizada em relação ao período de março a junho dos anos de 1997 e 1998, com dados coletados em uma estação meteorológica automática instalada na Estação Experimental do Vale do Curu, no Centro Nacional de Pesquisa em Agroindústria Tropical, pertencente à EMBRAPA, Paraipaba, CE, onde também se encontrava instalado um lisímetro de pesagem (área = 2,205m2), com células de carga. A análise foi baseada em dados diários, qüinqüidiais e decendiais, utilizando-se a análise de regressão, os índices de concordância de Willmott (1985) e de desempenho de Camargo e Sentelhas (1997), além dos seguintes erros: erro médio absoluto (EMA), erro máximo (EM), erro sistemático (Es) e erro aleatório (Ea). Os resultados obtidos mostraram que os dados medidos em lisímetro, se ajustaram de forma regular aos valores de ETo estimados pelo método de Penman-Monteith, nas três escalas de tempo avaliadas, o que indica a possibilidade de problemas na operação e manutenção desse dispositivo. Com relação aos métodos de estimativa de ETo, os que melhor se ajustaram aos valores obtidos por Penman-Monteith foram: Priestley & Taylor (1972) nas escalas diária e decendial e Thornthwaite modificado por Camargo et al. (1999) na escala qüinqüidial, porém, com erros sisitemáticos. Devido a isso, foram propostos ajustes com base nesses métodos. O ajuste constou de modificações no coeficiente ( f ) do método de Thornthwaite modificado por Camargo et al. (1999) e no parâmetro α da equação de Priestley-Taylor (1972), que foram modificados respectivamente para 0,379 e 1,19. Observou-se um desempenho considerado bom para o método de Priestley-Taylor (α = 1,19) e muito bom para Thornthwaite modificado por Camargo et al. (1999) (f = 0,379), indicando a potencialidade de seus usos em condições climáticas semelhantes às desse estudo, quando há limitação de dados meteorológicos. / The irregular distribuition of rain in the Brazil’s northeast region become irrigation very important, being the main rational alternative to produce food. In an irrigation project the crop evapotranspiration (ETc) is the most important variable, which determine how much water is necessary to be applied to maintain the yield at high levels. Being ETc funcion of reference evapotranspiration (ETo), the determination of this variabel is fundamental in irrigation projects and schedule. In this context, this study aimed to evaluate ETo estimates from lysimetric measures and other methods, which were compaired with the ETo values obtained by Penman-Monteith equation (Allen et al., 1998). The methods used were: Thornthwaite (1948), Thornthwaite modified by Camargo et al. (1999), Class A pan (Allen et al., 1998), Hargreaves & Samani (1985) and Priestley-Taylor (1972). The data were analysed during the period from march to june, in 1997 and 1998. The meteorological data were collected in an automatic weather station located at Vale do Curu Experimental Station, in the Tropical Agroindustry National Research Center, belonged to EMBRAPA, in Paraipaba, State of Ceará, Brazil, where a weighing lysimeter using strain gauge was installed (area = 2,205m2). The data analysis were based on daily, quinquidial and decendial time scale, and were done utilizing regression analysis, agreement (Willmott, 1981) and performance (Camargo & Sentelhas, 1997) indexes, and the following errors: absolute mean error (EMA), maximum error (EM), sistematic error (Es) and random error (Ea). The results obtained showed that ETo lysimeric measures did not fit well with ETo estimated by Penman-Monteith equation in all time scales evaluated, what problably is related to the problems in the operation and maintenance of this equipament. In relation to the other methods to estimate ETo, the best fits were obtained with Priestley-Taylor (1972), for daily and decendial data, and with Thornthwaite modified by Camargo et al. (1999), for quinquidial data. Howerer, these methods presented sistematic errors, being proposed adjusts in the parameters f for the Thornthwaite modified by Camargo et al. (1999) and α for the Priestley-Taylor methods, which were modified, recpectively, to 0.379 and 1.19. With these modifications these methods improved the ETo estimation, increasing the accuracy and decreasing the errors, being classified by the performance index as good and very good, indicating their potenciality for be used in similar climatic conditions of this study, where complete set of weather data are not available.

Orientador: Antonio Evaldo Klar / Banca: Raimundo Leite Cruz / Banca: Dinival Martins / Banca: João Antonio Galbiatti / Banca: Jarbad Honório de Miranda / Resumo: No Estado do Ceará muitos projetos de irrigação tem sido desenvolvidos utilizando estimativas da evapotranspiração de referência baseados apenas em dados de temperatura, sem avaliar a eficácia do método. O estudo teve como objetivo verificar a precisão dos métodos de estimativas da evapotranspiração de referência (ETo), propostos por Hargreaves, Thornthwaite, Linacre, Jensen-Haise, Makking, Priestley & Taylor, Benavides & Lopez, Hargreaves-Samani, Camargo, Kharrufa, Hamon, Radiação (FAO-24, Organização das Nações Unidas para Alimentação e Agricultura) e Blaney-Criddle (FREVET et., 1983), para o Estado Ceará; aplicando a equação de Penman-Monteith (FAO-56), como padrão em comparação com os métodos propostos. Foram utilizados dados de temperatura, umidade relativa, insolação e velocidade do vento de postos meteorológicos de 16 municípios, a partir de uma série histórica iniciada em 1958 e concluída em 1999 por entidades distintas, sendo que não foi possível manter o mesmo intervalo de tempo em cada localidade, que possuem informações necessários para aplicação da metodologia FAO-56. Na análise dos resultados, foi aplicado estudo estatístico por meio de regressão linear e correlação entre as variáveis estudadas. Em função dos resultados da análise estatística, traçou-se o mapa das isolinhas com os dados médios de evapotranspiração de referência medidos na estação do ano de maior demanda de água no processo de evapotranspiração. Foram determinadas as demandas hídricas potenciais das ...(Resumo completo, clicar acesso eletrônico abaixo) / Abstract : Reference evapotranspiration based only on temperature data, without evaluating of the effectiveness method. The present study had as objective verifies the precision of the methods of estimates of the reference evapotranspiration (ETo) proposed by Hargreves, Thornwaite, Linacre, Jensen-Haise, Makking, Priestley & Taylor, Benavides & Lopez, Hargreaves-Samani, Camargo, Kharrufa, Hamon, Radiation (FAO-24, Food and Agricultural Organization of the United Nations) and Blaney-Criddle (FREVET et al., 1983) in the State of Ceará; applying the equation of Penman-Monteith (FAO-56), as pattern in the comparison of the proposed method Climatic data of temperature were used, humid relative, heatstroke and wind speed from meteorological stations of 16 municipal districts in the State of Ceará, from a historical series began in 1958 and completed in 1999 by different entities, and it was not possible to maintain the same interval of time in each location, they have got necessary data for methodology application FAO-56. In the analysis of the results a statistic study was applied through the linear regression and correlation among the several ones studied. In function of the results of the statistical analysis, the map of the isolinhas was traced with the medium data of measured reference evapotranspiration process. They were certain the demands for potential hidricas of the main fruit cultures in their more significant irrigation poles. The statistics studies reveal that the method of Blaney-Criddle, presented statistics results more significant in relation to the other methods when compared with the method... / Doutor

Tendo em vista a distribuição irregular de chuvas no nordeste, a irrigação se torna de grande importância, uma vez que passa a ser a principal alternativa racional de exploração das culturas agrícolas. Num projeto de irrigação, a evapotranspiração da cultura (ETc) é a variável mais importante, pois determina qual a quantidade de água a ser reposta, de forma a manter a produtividade a níveis rentáveis. Sendo a ETc função da evapotranspiração de referência (ETo), a determinação desta passa a ser fundamental em projetos, no planejamento e no manejo de irrigação. Dentro deste contexto o presente estudo teve por objetivo avaliar a estimativa da ETo, utilizando, para tanto, medidas lisimétricas e métodos de estimativa que foram comparados com valores de ETo obtidos com a equação de Penman-Monteith (Allen et al., 1998). Os métodos de estimativa de ETo empregados foram: Thornthwaite (1948), Thornthwaite modificado por Camargo et al. (1999), Tanque de Evaporação Classe A (Allen et al., 1998), Hargreaves & Samani (1985) e Priestley & Taylor (1972). A análise foi realizada em relação ao período de março a junho dos anos de 1997 e 1998, com dados coletados em uma estação meteorológica automática instalada na Estação Experimental do Vale do Curu, no Centro Nacional de Pesquisa em Agroindústria Tropical, pertencente à EMBRAPA, Paraipaba, CE, onde também se encontrava instalado um lisímetro de pesagem (área = 2,205m2), com células de carga. A análise foi baseada em dados diários, qüinqüidiais e decendiais, utilizando-se a análise de regressão, os índices de concordância de Willmott (1985) e de desempenho de Camargo e Sentelhas (1997), além dos seguintes erros: erro médio absoluto (EMA), erro máximo (EM), erro sistemático (Es) e erro aleatório (Ea). Os resultados obtidos mostraram que os dados medidos em lisímetro, se ajustaram de forma regular aos valores de ETo estimados pelo método de Penman-Monteith, nas três escalas de tempo avaliadas, o que indica a possibilidade de problemas na operação e manutenção desse dispositivo. Com relação aos métodos de estimativa de ETo, os que melhor se ajustaram aos valores obtidos por Penman-Monteith foram: Priestley & Taylor (1972) nas escalas diária e decendial e Thornthwaite modificado por Camargo et al. (1999) na escala qüinqüidial, porém, com erros sisitemáticos. Devido a isso, foram propostos ajustes com base nesses métodos. O ajuste constou de modificações no coeficiente ( f ) do método de Thornthwaite modificado por Camargo et al. (1999) e no parâmetro α da equação de Priestley-Taylor (1972), que foram modificados respectivamente para 0,379 e 1,19. Observou-se um desempenho considerado bom para o método de Priestley-Taylor (α = 1,19) e muito bom para Thornthwaite modificado por Camargo et al. (1999) (f = 0,379), indicando a potencialidade de seus usos em condições climáticas semelhantes às desse estudo, quando há limitação de dados meteorológicos. / The irregular distribuition of rain in the Brazil’s northeast region become irrigation very important, being the main rational alternative to produce food. In an irrigation project the crop evapotranspiration (ETc) is the most important variable, which determine how much water is necessary to be applied to maintain the yield at high levels. Being ETc funcion of reference evapotranspiration (ETo), the determination of this variabel is fundamental in irrigation projects and schedule. In this context, this study aimed to evaluate ETo estimates from lysimetric measures and other methods, which were compaired with the ETo values obtained by Penman-Monteith equation (Allen et al., 1998). The methods used were: Thornthwaite (1948), Thornthwaite modified by Camargo et al. (1999), Class A pan (Allen et al., 1998), Hargreaves & Samani (1985) and Priestley-Taylor (1972). The data were analysed during the period from march to june, in 1997 and 1998. The meteorological data were collected in an automatic weather station located at Vale do Curu Experimental Station, in the Tropical Agroindustry National Research Center, belonged to EMBRAPA, in Paraipaba, State of Ceará, Brazil, where a weighing lysimeter using strain gauge was installed (area = 2,205m2). The data analysis were based on daily, quinquidial and decendial time scale, and were done utilizing regression analysis, agreement (Willmott, 1981) and performance (Camargo & Sentelhas, 1997) indexes, and the following errors: absolute mean error (EMA), maximum error (EM), sistematic error (Es) and random error (Ea). The results obtained showed that ETo lysimeric measures did not fit well with ETo estimated by Penman-Monteith equation in all time scales evaluated, what problably is related to the problems in the operation and maintenance of this equipament. In relation to the other methods to estimate ETo, the best fits were obtained with Priestley-Taylor (1972), for daily and decendial data, and with Thornthwaite modified by Camargo et al. (1999), for quinquidial data. Howerer, these methods presented sistematic errors, being proposed adjusts in the parameters f for the Thornthwaite modified by Camargo et al. (1999) and α for the Priestley-Taylor methods, which were modified, recpectively, to 0.379 and 1.19. With these modifications these methods improved the ETo estimation, increasing the accuracy and decreasing the errors, being classified by the performance index as good and very good, indicating their potenciality for be used in similar climatic conditions of this study, where complete set of weather data are not available.