Made available in DSpace on 2017-07-10T19:25:24Z (GMT). No. of bitstreams: 1 Jackeline Gotardo parte 1.pdf: 5941044 bytes, checksum: e7a46324b06508bcbeab16411c56e75d (MD5) Previous issue date: 2011-02-10 / The simulation study of water availability and management of the basin was addressed in two ways. First estimate the water demand in climatological experimental catchment representative of the Savannah. Defined by the difference in the occurrence of potential evapotranspiration and precipitation minimal likely to occur on a scale ten days. In the estimation of potential evapotranspiration compared to the empirical equations of the methods Blaney-Criddle, Hargreaves, ASCE Penman-Monteith, Penman, Priestley-Taylor method with the standard Penman-Monteith FAO 56. The method presented Blaney-Criddley is recommended when there is limited availability of climatological data. To estimate the probability distribution used the gamma distribution for the time series of precipitation and evapotranspiration and precipitation time series with zero values, we used the incomplete gamma function. The adhesion of the estimated probabilities to the observed data was verified by testing, non-parametric Kolmogorov-Smirnov test, with significance level (α-0, 05) which fitted well the model distributions. The occurrence of precipitation and evapotranspiration decendial likely P (X ≥ x) for different probability levels showed drought periods of ten days between 4:32, with critical values 25-39 mm, on a scale ten days, the months from May to September. In a second stage it was considered the the reservoir of soil water management and proposes a model allowing to calculate the irrigation water demand of crops of beans and corn planting dates in two different in drought and rainy. The bowl was hydrology by the method of the turn number (CN). Simulated the water demand and availability required in ascertaining what is the risk of meeting the irrigated area. The proposed model was effective for water management in the basin throughout the year. It was found that corn and beans require different amounts of water throughout the year, and that optimizing the additional water demand is a management tool able to minimize conflicts over water use. hydrology of the basin presents risks of not having met the demand required in the dry period is necessary to establish infraestrurura water for water storage / O estudo da simulação e da gestão da disponibilidade hídrica da bacia foi abordado de duas formas. Primeiramente, foi estimada a demanda hídrica climatológica em bacia hidrográfica experimental representativa do Cerrado, definido pela diferença da ocorrência da evapotranspiração potencial e precipitação mínima provável de ocorrer, em escala decendial. Na estimativa da Evapotranspiração potencial comparou-se as equações empíricas dos métodos Blaney-Criddle, Hargreaves, Penman-Monteith ASCE, Penman, Priestley-Taylor com o método padrão de Penman-Monteith FAO 56. O método Blaney- Criddley é recomendado quando há limitação na disponibilidade de dados climatológicos. Para estimativa da distribuição de probabilidade, utilizou-se a distribuição gama para a série histórica de precipitação e evapotranspiração e, para série histórica de precipitação com valores nulos, utilizou-se a função gama incompleta. A aderência das probabilidades estimadas aos dados observados foi verificada através do teste, não-paramétrico, de Kolmogorov-Smirnov, com nível de significância (􀄮-0,05), o qual ajustou-se bem aos modelos de distribuições. A ocorrência de precipitação e evapotranspiração decendial provável P (X 􀂕 x) para diferentes níveis de probabilidades demonstrou déficit hídrico entre os decêndios 4 e 32, apresentando valores críticos de 25 a 39 mm, em escala decendial, nos meses de maio a setembro. Em um segundo momento, considerou-se o reservatório de água do solo propondo um modelo de manejo de irrigação permitindo calcular a demanda hídrica das culturas de feijão e milho em duas datas de plantio diferentes em período de seca e chuvoso. O comportamento hidrológico da bacia foi através do método do número da curva (CN). Simulou-se a demanda hídrica requerida e a disponibilidade, averiguando qual o risco de atender a área irrigada. O modelo proposto foi eficaz para a gestão hídrica da bacia ao longo do ano. Verificou-se que culturas de milho e feijão requerem diferentes quantidades de água ao longo do ano e que a otimização pela demanda hídrica complementar é um instrumento de gestão capaz de minimizar conflitos pelo uso da água. O comportamento hidrológico da bacia apresenta riscos de não ter a demanda requerida atendida no período seco, sendo necessário a implantação de infraestrutura hídrica para armazenamento de água

Made available in DSpace on 2017-05-12T14:48:47Z (GMT). No. of bitstreams: 1 Jackeline Gotardo parte 1.pdf: 5941044 bytes, checksum: e7a46324b06508bcbeab16411c56e75d (MD5) Previous issue date: 2011-02-10 / The simulation study of water availability and management of the basin was addressed in two ways. First estimate the water demand in climatological experimental catchment representative of the Savannah. Defined by the difference in the occurrence of potential evapotranspiration and precipitation minimal likely to occur on a scale ten days. In the estimation of potential evapotranspiration compared to the empirical equations of the methods Blaney-Criddle, Hargreaves, ASCE Penman-Monteith, Penman, Priestley-Taylor method with the standard Penman-Monteith FAO 56. The method presented Blaney-Criddley is recommended when there is limited availability of climatological data. To estimate the probability distribution used the gamma distribution for the time series of precipitation and evapotranspiration and precipitation time series with zero values, we used the incomplete gamma function. The adhesion of the estimated probabilities to the observed data was verified by testing, non-parametric Kolmogorov-Smirnov test, with significance level (α-0, 05) which fitted well the model distributions. The occurrence of precipitation and evapotranspiration decendial likely P (X ≥ x) for different probability levels showed drought periods of ten days between 4:32, with critical values 25-39 mm, on a scale ten days, the months from May to September. In a second stage it was considered the the reservoir of soil water management and proposes a model allowing to calculate the irrigation water demand of crops of beans and corn planting dates in two different in drought and rainy. The bowl was hydrology by the method of the turn number (CN). Simulated the water demand and availability required in ascertaining what is the risk of meeting the irrigated area. The proposed model was effective for water management in the basin throughout the year. It was found that corn and beans require different amounts of water throughout the year, and that optimizing the additional water demand is a management tool able to minimize conflicts over water use. hydrology of the basin presents risks of not having met the demand required in the dry period is necessary to establish infraestrurura water for water storage / O estudo da simulação e da gestão da disponibilidade hídrica da bacia foi abordado de duas formas. Primeiramente, foi estimada a demanda hídrica climatológica em bacia hidrográfica experimental representativa do Cerrado, definido pela diferença da ocorrência da evapotranspiração potencial e precipitação mínima provável de ocorrer, em escala decendial. Na estimativa da Evapotranspiração potencial comparou-se as equações empíricas dos métodos Blaney-Criddle, Hargreaves, Penman-Monteith ASCE, Penman, Priestley-Taylor com o método padrão de Penman-Monteith FAO 56. O método Blaney- Criddley é recomendado quando há limitação na disponibilidade de dados climatológicos. Para estimativa da distribuição de probabilidade, utilizou-se a distribuição gama para a série histórica de precipitação e evapotranspiração e, para série histórica de precipitação com valores nulos, utilizou-se a função gama incompleta. A aderência das probabilidades estimadas aos dados observados foi verificada através do teste, não-paramétrico, de Kolmogorov-Smirnov, com nível de significância (􀄮-0,05), o qual ajustou-se bem aos modelos de distribuições. A ocorrência de precipitação e evapotranspiração decendial provável P (X 􀂕 x) para diferentes níveis de probabilidades demonstrou déficit hídrico entre os decêndios 4 e 32, apresentando valores críticos de 25 a 39 mm, em escala decendial, nos meses de maio a setembro. Em um segundo momento, considerou-se o reservatório de água do solo propondo um modelo de manejo de irrigação permitindo calcular a demanda hídrica das culturas de feijão e milho em duas datas de plantio diferentes em período de seca e chuvoso. O comportamento hidrológico da bacia foi através do método do número da curva (CN). Simulou-se a demanda hídrica requerida e a disponibilidade, averiguando qual o risco de atender a área irrigada. O modelo proposto foi eficaz para a gestão hídrica da bacia ao longo do ano. Verificou-se que culturas de milho e feijão requerem diferentes quantidades de água ao longo do ano e que a otimização pela demanda hídrica complementar é um instrumento de gestão capaz de minimizar conflitos pelo uso da água. O comportamento hidrológico da bacia apresenta riscos de não ter a demanda requerida atendida no período seco, sendo necessário a implantação de infraestrutura hídrica para armazenamento de água

The objective of this study is to conduct a cost/effectiveness analysis of the computation of reference evapotranspiration (ETo) in the peninsular of Florida. A meteorological station on the Fort Meade Mine in Polk County, Florida was used to provide data for the calculation of ETo. Five ETo equations were tested to determine the accuracy and cost/effectiveness to the fully measured ASCE Penman-Monteith (Full ASCE-PM) equation on daily, monthly, and annually time steps. The ETo equations ranged in amounts of parameters from the Full ASCE-PM to the Hargreaves. The energy terms accounted for approximately 90% of the total ETo flux. Solar radiation alone also accounted for approximately 90% of the total ETo flux. The highest cost-effectiveness ratios were equations that were able to accurately estimate values without relying on expensive meteorological equipment and/or omitted terms that had a lesser influence on the magnitude of ETo. The seasonal variability in the climate and consequently the emphasis of each meteorological parameter on ETo will create seasonal errors in the reduced sets of the ETo equations. Large seasonal errors were associated with temperature based ETo equations, while solar radiation based ETo equations accurately preserved the seasonal trends. At least in Florida, solar radiation is the key driving force in both the magnitude and the seasonality of ETo.

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.

Submitted by Maria Medeiros (maria.dilva1@ufcg.edu.br) on 2018-08-14T13:09:45Z No. of bitstreams: 1 ALEXANDRA LIMA TAVARES - TESE (PPGMet) 2016.PDF: 1785379 bytes, checksum: 4abc947e5329e85eba74a25f6ab6e976 (MD5) / Made available in DSpace on 2018-08-14T13:09:45Z (GMT). No. of bitstreams: 1 ALEXANDRA LIMA TAVARES - TESE (PPGMet) 2016.PDF: 1785379 bytes, checksum: 4abc947e5329e85eba74a25f6ab6e976 (MD5) Previous issue date: 2016-02-26 / Capes / O estudo foi conduzido na Unidade de Produção de Hortaliças da empresa Hortaliças Vida Verde, em parceria com a Universidade Federal de Sergipe (UFS), localizado no município de Itabaiana, SE. O objetivo do trabalho foi determinar a evapotranspiração (ETc) e os coeficientes de cultivo (Kc) do coentro e da alface cultivados em clima tropical, bem como avaliar as variáveis fenométricas ao longo de seu ciclo de produção. A ETc das culturas foi obtida através do balanço hídrico no solo e a evapotranspiração de referência (ETo) pelo método de Penman-Monteith, utilizando-se dados coletados numa estação automática localizada próxima à área experimental. As variáveis fenométricas avaliadas foram: comprimento das raízes e caule, área foliar e peso da massa fresca da parte aérea. Os resultados da pesquisa evidenciaram que os valores médios da ETc do coentro e da alface são, respectivamente, 139,8 e 158,5 mm, nas condições de realização do experimento. O Kc médio do coentro encontrado foi 0,87 e da alface 0,84. Verificou-se que as culturas do coentro e da alface requerem mais atenção com a demanda hídrica no período do verão. Os resultados obtidos permitiram ainda constatar que o coentro e a alface no período de outono proporcionam melhor desenvolvimento de suas variáveis fenométricas, bem como suas produtividades, sendo portanto este o período mais apropriado para o cultivo dessas culturas em regiões tropicais. / The study was carried out in production unit of vegetabled of company Hortaliças “Vida Verde” in partnership with the Federal University of Sergipe (UFS), located in the city of Itabaiana, SE. The objective of this study was to determine the evapotranspiration (ETc) and crop coefficients (Kc) of coriander and lettuce grown in a tropical environment, as well as evaluating the fenometric variables throughout its production cycles. The ETc crops was determined based on soil water balance and reference evapotranspiration (ETo) by Penman-Monteith method (FAO/56), using collected dates from automatic weather station next to experimental site. The fenometric variables were: length of the roots and stem, leaf area and Fresh weight of shoot. The mean values of ETc for coriander and lettuce are, respectively, 139.8 and 158.5 mm while the mean values of Kc were 0.87 and 0.84 for coriander and lettuce, respectively. Results also show that coriander crop water needs are higher than lettuce during summer period. The results revealed that the coriander and lettuce in the fall period provide better development of their fenometric variables and productivity, which is the most appropriate period for the cultivation of these crops in the tropical regions.

Made available in DSpace on 2015-03-26T13:50:18Z (GMT). No. of bitstreams: 1 texto completo.pdf: 1701700 bytes, checksum: c751f2ca881cfb2b5b10f7e2636abb8d (MD5) Previous issue date: 2014-02-21 / Conselho Nacional de Desenvolvimento Científico e Tecnológico / The determination of water consumption by the grape vine becomes crucial to obtain satisfactory yields for the preparation of fine wines, reduction of production costs, and mainly for the sustainable management of regional water resources. Thus, this study aimed to examine the values of grape winemaking crop evapotranspiration, determined by two methods (energy balance based on the Bowen ratio (BERB) method and the Penman-Monteith model), and the crop efficiency of water use to the climatic conditions of SVSF. The experiment was conducted in a commercial area of Fazenda Ouro Verde (09°16'S, 40°51'W and 444 m) in the first half of 2010, located in the semiarid region of the municipality of Villa Nova, Bahia. The selected area of 9 hectares was planted with the grape vine (Vitis vinifera L.), variety "Syrah", grafted onto the rootstock IAC 766, with three years of planting and drip irrigated. Pruning production was held on March 8, 2010 and harvest on July 19, 2010, totaling a production cycle of 133 days. The results showed that, during the analysis of physical consistency of BERB method, 69.5 % of days evaluated were considered valid for determining the density of energy flows in daily scale. The net radiation and reflected radiation represented about 73 and 16% respectively of the incident solar radiation in the vineyard. Throughout the production cycle of the vine, the daily average values of the latent heat flux (LE) accounted for approximately 70% of net radiation (Rn), while 30% was used for heating of atmospheric air, represented by the flow sensible heat (H). However, no energy for heating the ground (G) for almost all phenological stages, except the final stage when the G/Rn ratio represented approximately 4%. Regarding the degree-days (GDA), 1.819 degrees were necessaries for the grapevine Syrah to complete its production cycle, corresponding to a total of 133 days for pruning in the first half of the year. The reference evapotranspiration (ETo) and crop evapotranspiration determined by the method BERB (ETcBERB) during the crop cycle were 474.0 and 376.4 mm, respectively, with a daily average of 3.9 and 3.1 mm. The maximum estimated by Penman-Monteith method ranged from 9.2 to 3.0 L d-1 m-2, respectively, with a total volume of 614.7 L m-2, about 204.9 mm. The ETcBERB/ETo ratio reached average values of 0.70, 0.85 and 0.66 for the phenological stages of sprouting-flowering, flowering, ripening and maturation to harvest. The average productivity of the vine "Syrah" to crafting fine wines was 4.400 kg ha-1, while the average productivity of water based on the total evapotranspiration and transpiration particular culture through BERB and Penman - Monteith method was 1.17 kg m-3 and 2.15 kg m-3, respectively. / A determinação do consumo de água pela videira é de crucial importância para obtenção de produtividades satisfatórias para elaboração de bons vinhos, redução de custos de produção e, principalmente, para o manejo sustentável dos recursos hídricos regional. Neste sentido, com este trabalho objetivou-se analisar os valores da evapotranspiração da cultura da uva para elaboração de vinhos, determinada por duas metodologias (balanço de energia com base no método da razão de Bowen (BERB) e o modelo de Penman-Monteith), e a eficiência do uso da água da cultura para as condições climáticas do Submédio do Vale do São Francisco (SVSF). O experimento foi conduzido em uma área comercial da Fazenda Ouro Verde (09°16 S; 40°51 O e 444 m) no primeiro semestre do ano de 2010, que fica localizada na região semiárida do município de Casa Nova, Bahia. A área de 9 hectares selecionada foi plantada com a videira (Vitis vinífera L.), variedade Syrah , enxertada sobre o porta-enxerto IAC 766, com três anos de plantio, e irrigada por gotejamento. A poda de produção foi realizada no dia 08 de março de 2010 e a colheita no dia 19 de julho de 2010, totalizando o ciclo produtivo de 133 dias. Com base nos resultados observou-se que durante a análise de consistência física do método BERB, 69,5% dos dias avaliados foram considerados válidos para a determinação da densidade de fluxos de energia em escala diária. O saldo de radiação e a radiação refletida representaram aproximadamente 73 e 16%, respectivamente, da radiação solar incidente no parreiral. Ao longo do ciclo produtivo da videira, os valores médios diários do fluxo de calor latente (LE) representaram cerca de 70% do saldo de radiação (Rn), enquanto 30% foi destinado ao aquecimento do ar atmosférico, representado por meio do fluxo de calor sensível (H). Entretanto, não houve energia destinada ao aquecimento do solo (G) durante quase todas as fases fenológicas, exceto na fase final quando a relação G/Rn representou aproximadamente 4%. Em relação aos graus-dia acumulados (GDA), foram necessários 1.819 GDA para a videira Syrah completar o seu ciclo produtivo, correspondendo ao total de 133 dias para poda no primeiro semestre do ano. A evapotranspiração de referência (ETo) e a evapotranspiração da cultura determinada por meio do método BERB (ETcBERB) durante o ciclo da cultura foram de 474,0 e 376,4 mm, respectivamente, com valor médio diário de 3,9 e 3,1 mm. A transpiração máxima estimada pelo método de Penman-Monteith oscilou entre 9,2 a 3,0 L d-1 m-2, com volume total de 614,7 L m-2, aproximadamente 204,9 mm. A razão ETcBERB/ETo atingiu valores médios de 0,70; 0,85 e 0,66, respectivamente, para as fases fenológicas de Brotação-Floração, Floração-Maturação e Maturação-Colheita. A produtividade média da videira Syrah , para elaboração de vinhos finos, foi de 4.400 kg ha-1, enquanto a média da produtividade de água com base na evapotranspiração e transpiração total da cultura determinada por meio do método BERB e Penman-Monteith foi de 1,17 kg m-3 e 2,15 kg m-3, respectivamente.

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.

Submitted by Geandra Rodrigues (geandrar@gmail.com) on 2018-06-28T12:04:49Z No. of bitstreams: 1 albertobenitomirambell.pdf: 7805095 bytes, checksum: 69d22876f49a364f6fb31b967f70c3ba (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2018-07-03T15:27:23Z (GMT) No. of bitstreams: 1 albertobenitomirambell.pdf: 7805095 bytes, checksum: 69d22876f49a364f6fb31b967f70c3ba (MD5) / Made available in DSpace on 2018-07-03T15:27:23Z (GMT). No. of bitstreams: 1 albertobenitomirambell.pdf: 7805095 bytes, checksum: 69d22876f49a364f6fb31b967f70c3ba (MD5) Previous issue date: 2018-02-23 / No dia de hoje, qualquer estudo relacionado aos recursos hídricos e seus usos, tais como irrigação, abastecimento de água e geração de energia, é de suma importância em função dos cenários que vivemos atualmente face às variabilidades climáticas. O uso eficiente desses recursos faz-se cada vez mais necessário, envolvendo fatores como a estimativa de algumas variáveis relacionadas ao ciclo hidrológico, notadamente a evapotranspiração. Há quase trinta anos a FAO recomendou o uso da equação de Penman-Monteith para a estimativa da evapotranspiração de referência. Desde então tem sido aplicada com sucesso em diferentes regiões e sob diferentes climas. No entanto, esta abordagem tem algumas desvantagens, entre elas, o fato de depender de medições de campo de parâmetros climáticos, tais como temperatura, humidade do ar, velocidade do vento e radiação solar. Além disso, essas medições são pontuais em referência ao local de operação da estação meteorológica e podem não representar de forma fidedigna as condições climáticas dos ambientes circundantes. Nos últimos tempos, com o avanço da tecnologia, o desenvolvimento de potentes linguagens de programação orientados à análise de dados, o surgimento das técnicas na área de inteligência artificial e do tratamento de grandes volumes de dados (“Big Data”), surgiram ferramentas com grande potencial para melhorar a forma como se tratam os eventos naturais ou antrópicos, permitindo maior eficiência e produtividade. Nessa linha, o objetivo principal do presente estudo é o uso desse conjunto de tecnologias para uma estimação confiável e robusta da evapotranspiração, na medida que constitui uma variável fundamental no fechamento do balanço hídrico no nível de uma bacia hidrográfica. Complementarmente, essa estimativa poderia ser também empregada como indicativo da perda água em uma cultura pelo agricultor. Em especial, dois procedimentos foram aplicados ao longo deste trabalho: redes neurais artificiais (RNA’s) e o algoritmo METRIC. O primeiro está associado a uma ferramenta com base em inteligência artificial, capaz de reproduzir o comportamento de certas variáveis com um alto nível de semelhança abrindo a possibilidade de gerar predições a curto-maio prazo que ajude no gerenciamento dos recursos hídricos por parte dos comités de bacia e outros entes responsáveis por eles. Por outro lado, METRIC permite usar imagens de satélite para estimar evapotranspiração em escala horária, capturando as abruptas mudanças que sofrem algumas variáveis climáticas ao longo do dia, sendo esta uma informação de vital importância para os agricultores determinarem a irrigação com maior confiabilidade. Os resultados obtidos após a aplicação de ambos os procedimentos, que compõem a abordagem metodológica deste trabalho, foram muito satisfatórios e com uma alta correlação com aqueles gerados pela metodologia considerada como referência. Assim sendo, pode-se concluir que ambos procedimentos formam um referencial apropriado na estimativa de valores de evapotranspiração que podem ser transferidos à prática agrícola com a certeza de uma melhora constante a tenor da rápida e imparável evolução da tecnologia na área da agricultura de precisão. / Nowadays, any study related to water resources and its usage, such as irrigation, water consumption and energy production is a central issue due to the climate change scenario we are currently living. The efficient use of such resources is a must and involves several factors, among them, the estimate of some hydrologic cycle-related variables, highlighting evapotranspiration, among them. About thirty years ago, the FAO recommended Penman-Monteith equation as the most trustworthy and representative methodology to estimate reference crop evapotranspiration. Since then, it has been applied successfully over different regions and under diverse weather conditions. However, this approach has some cons, such as its dependency on ground measurements of most common climatological parameters: temperature, relative air humidity, wind speed or solar radiation. In addition, these measurements are punctual on the weather station’s location and may not fully represent surrounding environments’ conditions. Lately, thanks to technological advances, the development of powerful programming data analysis-oriented languages, the rising of artificial intelligence, as well as big data, we have a wide variety of tools to improve the way we analyse natural phenomena, making it more efficient and productive. Therefore, the main objective of the present study is the use of such technologies aiming to estimate reliable evapotranspiration values, as a central parameter on water resources management at watershed basis, or even as an indicator of crop water loss, by farmers. Mainly, two different technology-based approaches have been applied along this dissertation pursuing the objective previously mentioned: artificial neural networks (ANN’s) and METRIC algorithm. The former is an artificial intelligence-based tool, capable of “recording” specific variables behaviour and succeed in “mimicking” them at a high resemblance level, favouring the possibility of short-half term forecasts to help watershed committees and other responsible bodies manage water resources. On the other hand, METRIC algorithm uses satellite imagery in order to estimate evapotranspiration hourly and able thus to catch the disrupting changes some of the climatological variables suffer along the day, turning into a vital piece of information for farmers, since they can design irrigation schedule more precisely. Results obtained after both procedures’ application, which compose the methodological approach throughout this study, fully satisfied our expectations and showed a high correlation to those results estimated by the methodology of reference. To sum up, we conclude that both approaches are reliable at estimating reference crop evapotranspiration and can be transferred to the agricultural management assuring a steady improvement due to the quick and unstoppable evolution in technology on the “agriculture of precision” field.

Relevant methods for estimating reference crop evaporation and crop evaporation for selected, pertinent crops growing in the semiarid environments of Arizona and New Mexico are investigated. Daily evaporation estimates over the period 2000-2010 are calculated using standard meteorological data from 35 weather stations. Compared to the FAO-56 Penman-Monteith reference evapotranspiration estimate, the Hargreaves and Priestley-Taylor equations overestimate by 5-15% while the temperature-based Blaney-Criddle method currently used in New Mexico underestimates by 8-13%, on average, the discrepancy being most severe in highly advective regions. Crop evaporation estimates are compared to the one-step Matt-Shuttleworth approach. The Blaney-Criddle method systematically underestimates crop evaporation by 7-30%, while underestimation using the climatically adjusted FAO-56 crop coefficient approach is 1-8% for short crops but ~20% for tall pecan and citrus orchards grown at atmospherically arid locations. Crop surface resistances derived using the Matt-Shuttleworth approach at Fabian Garcia in southern New Mexico compare favorably to literature values.