A simple water balance model was applied to a micro-catchment water harvesting system for a semi-arid area in the North-Eastern part of Jordan. Two Negarim micro-catchment water harvesting systems were built at Al-Khanasri research station. A Randomized complete block design (RCBD) in factorial combination was used with six treatments and three replicates. Each plot was divided into two parts; a runoff area, and a run-on area. Two different treatments were used for the catchment area, these were: compacted (T1) and Natural treatments (T2). Three treatments were used for the run-on area, these were: disturbed (S1), stones (S2), and crop residue mulch (S3). Soil water content was measured over a depth of 0-1 m during the seasons 96-97 in these micro-catchments. In this model; daily rainfall, runoff, and evaporation were used. Runoff was calculated by the curve number method; evaporation was calculated by the Penman equation, the Priestley and Taylor method and the Class A pan approach. The least squares method was used for optimizing model parameters. The performance of the model was assessed by different criteria, such as root mean square error, relative root mean square error, coefficient of determination and the Nash-Sutcliffe efficiency method. The performance of the micro-catchments system was also evaluated. Results showed that with limited but reliable hydrological data good agreement between predicted and observed values could be obtained. The ratio of water storage in a one meter soil depth to the rainfall falling on each catchment indicated that T1S2 and T1S3 have the highest values in size1 plots while T2S1 and T2S2 have the highest values in size 2 plots. Modelling results showed that for all the size 1 plots, the required ratio of the cultivated to catchment area, (C/CA), required to ensure sufficient harvested water, was less than the actual ratio used in the experimental design. For the size 2 plots this was only true for the T1 treatments. Consequently for the majority of plot sizes and treatments, the results showed that a smaller catchment area is capable of providing sufficient harvested water to meet crop growth requirements. The experimental ratio was based on a typical yearly design rainfall for the region having either a 50% or 67% probability of occurrence. Results also indicated that using stones and crop residue as mulch on the soil surface in the cultivated area was effective in decreasing the evaporation rate. S3 was more efficient than S2 as it stored more water due to the higher infiltration rate (12.4 cm/hr) when compared to S2 (4.1 cm/hr).

Current stormwater management practices (SMP) are not sufficient for maintaining predevelopment runoff volumes. Low impact development (LID) uses site scale SMP to reduce runoff. Bioretention cells, one practice within LID, are small planting beds designed to filter and infiltrate runoff using amended soil and vegetation. The bioretention cell can create a harsh soil moisture regime for plants that has not been adequately characterized. Bioretention cell construction, meteorological, and soil science data were built into the Happy Plant Model to determine how often bioretention plants were saturated and experienced water stress over a thirty year period. The model takes into account eight design factors: soil media depth and texture, gravel storage, ponding depth, drainage area, in situ soil infiltration rate, the landscape coefficient, and root zone depth. The Happy Plant model will aid future studies and landscape architecture practitioners with bioretention plant selection.

With a precipitation falling to as low as 100 mm/yr, a high rate of non-renewable groundwater depletion, a growing population resulting in increased food demand and a lack of concern for water management, it is crucial to use all available tools to conserve water. One of the most important factors related to water management is crop evapotranspiration. This research examines five crop evapotranspiration models (one combination model, three radiation based models and one temperature based model) under hyper arid environment at practical field level. These models have been evaluated and calibrated using an alfalfa weekly water balance in 2010. The calibrated models have been evaluated and validated using wheat and potatoes on a weekly water balance, respectively. Based on the results and discussion, FAO-56 PM proved to be superior at estimating crop evapotranspiration while radiation and temperature based models underestimated evapotranspiration and would require subsequent local calibration. However, the drawback of FAO-56 PM is that it requires all weather data and is also significantly more complicated than other models. Important observations that were made are that calibrated Turc and Makkink models performed poorly even when they were calibrated while simple models such as calibrated Hargreaves-Samani (temperature-based) and Priestley–Taylor (radiation-based) can be adequately used for irrigation scheduling in a hyper arid environments. / Ministry of Higher Education, Saudi Cultural Bureau in Canada. Saudi Agricultural Development Company (INMA).

At Degermyran landfill, situated in the municipal Skellefteå, a leachate treatment system was installed in 2005. One of the aims of this study was to investigate how well the treatment system works by using data from chemical measurements made on the leachate before and after treatment. Further this study had the purpose of investigating how the predicted climate changes of the 21st century will affect the amount of leachate generated at Degermyran by using a modified version of Thornthwaites water balance model. The treatment system has the ability of reducing manganese by 90 %, nitrogen by 73 % och TOC by 79 %. By the turn of this century the amount of precipitation that percolates the waste at Degermyran will be between 254 and 298 mm, depending on the amount of greenhouse gases that will be released in the future to come. The conclusions from this study are that the leachate treatment system reduces the levels of the investigated substances and that the amount of leachate produced at Degermyran will increase. To further investigate the efficiency of the leachate treatment system, flow proportionate measurements of the leachate chemistry could be adopted. If accurate flow measurements of the amount of generated leachate were performed the reliability of the used water balance model could be assessed.

Doctor of Philosophy(PhD) / In many areas of India, increasing groundwater use has led to depleted aquifers. Rainwater harvesting (RWH), the small scale collection and storage of runoff to augment groundwater stores, is seen as a solution to the deepening groundwater crisis in India. However while the social and economic gains of RWH have been highlighted, there has not yet been a thorough attempt to evaluate the impacts of RWH on larger catchment hydrological balances. The thesis here will endeavour to address this research gap through a case study of the 476 km2 ungauged semi-arid Arvari River catchment in the state of Rajasthan. Over 366 RWH structures have been built in this catchment since 1985 by the community and the local non-government organisation (NGO), Tarun Bharat Sangh (TBS). The local effects of RWH structures and general catchment characteristics were determined through field investigations during the monsoon seasons of 2007 and 2008. The analysis described large variability in both climatic patterns and recharge estimates. Potential recharge estimates from seven RWH storages, of three different sizes and in six landscape positions, were calculated using the water balance method, which were compared with recharge estimates from water level rises in twenty-nine dug wells using the water table fluctuation method. The average daily potential recharge from RWH structures is between 12 – 52 mm/day, while recharge reaching the groundwater was between 3 – 7 mm/day. The large difference between recharge estimates could be explained through soil storage, and a large lateral transmissivity in the aquifer. Approximately 7% of rainfall is recharged by RWH in the catchment, which is similar in both the comparatively wet and dry years of the field analysis. This is because the capacity of an individual structure to induce recharge is related to structure size and capacity, catchment runoff characteristics and underlying geology. Due to the large annual fluctuations in groundwater levels, the field study results suggest that RWH has a large impact on the groundwater supply, and that there is a large lateral flow of groundwater in the area. The results inferred from the field analysis were then applied to a conceptual water balance model to study catchment-scale impacts of RWH. An existing model was not used because of the paucity of data, and the need to incorporate an effective representation of RWH function and impact. The model works on a daily time step and is divided into subbasins. Within the subbasin hydrological response units (HRUs) describe the different land use/soil combinations associated with the Arvari River catchment, including irrigated agriculture. Sustainability indices, related to water from groundwater and rainfall for irrigated agriculture demand, were used to compare scenarios of management simulated in the conceptual model. The analysis shows that as RWH area increases, it reaches a limiting capacity from where developing additional RWH area does not increase the benefit to groundwater stores, but substantially reduces streamflow. This limiting capacity was also seen at the local-scale, where cumulative potential recharge from an individual RWH structure reaches a maximum daily recharge rate. These results could have important implications for RWH development, but require further research. The analysis highlighted the important link between irrigation area and RWH area. If the irrigation area is increased at the optimal level of RWH, where the sustainability indices were greatest, the resilience of the system actually decreased. Nevertheless RWH in a system increased the overall sustainability of the water demand for irrigated agriculture, compared to a system without RWH. Also RWH provided a slight buffer in the groundwater store when drought occurred. While RWH addresses the supply-side issues of groundwater operation, the institutions that form rules for groundwater use must also be considered, because of the link between irrigation area and RWH. The Arvari River Parliament, the community-based group in the case study area, was examined according to Ostrom’s factors for collective action. It was found that the major limitation for the effectiveness of this group was the minimal information available about the aquifer characteristics.

Doctor of Philosophy(PhD) / In many areas of India, increasing groundwater use has led to depleted aquifers. Rainwater harvesting (RWH), the small scale collection and storage of runoff to augment groundwater stores, is seen as a solution to the deepening groundwater crisis in India. However while the social and economic gains of RWH have been highlighted, there has not yet been a thorough attempt to evaluate the impacts of RWH on larger catchment hydrological balances. The thesis here will endeavour to address this research gap through a case study of the 476 km2 ungauged semi-arid Arvari River catchment in the state of Rajasthan. Over 366 RWH structures have been built in this catchment since 1985 by the community and the local non-government organisation (NGO), Tarun Bharat Sangh (TBS). The local effects of RWH structures and general catchment characteristics were determined through field investigations during the monsoon seasons of 2007 and 2008. The analysis described large variability in both climatic patterns and recharge estimates. Potential recharge estimates from seven RWH storages, of three different sizes and in six landscape positions, were calculated using the water balance method, which were compared with recharge estimates from water level rises in twenty-nine dug wells using the water table fluctuation method. The average daily potential recharge from RWH structures is between 12 – 52 mm/day, while recharge reaching the groundwater was between 3 – 7 mm/day. The large difference between recharge estimates could be explained through soil storage, and a large lateral transmissivity in the aquifer. Approximately 7% of rainfall is recharged by RWH in the catchment, which is similar in both the comparatively wet and dry years of the field analysis. This is because the capacity of an individual structure to induce recharge is related to structure size and capacity, catchment runoff characteristics and underlying geology. Due to the large annual fluctuations in groundwater levels, the field study results suggest that RWH has a large impact on the groundwater supply, and that there is a large lateral flow of groundwater in the area. The results inferred from the field analysis were then applied to a conceptual water balance model to study catchment-scale impacts of RWH. An existing model was not used because of the paucity of data, and the need to incorporate an effective representation of RWH function and impact. The model works on a daily time step and is divided into subbasins. Within the subbasin hydrological response units (HRUs) describe the different land use/soil combinations associated with the Arvari River catchment, including irrigated agriculture. Sustainability indices, related to water from groundwater and rainfall for irrigated agriculture demand, were used to compare scenarios of management simulated in the conceptual model. The analysis shows that as RWH area increases, it reaches a limiting capacity from where developing additional RWH area does not increase the benefit to groundwater stores, but substantially reduces streamflow. This limiting capacity was also seen at the local-scale, where cumulative potential recharge from an individual RWH structure reaches a maximum daily recharge rate. These results could have important implications for RWH development, but require further research. The analysis highlighted the important link between irrigation area and RWH area. If the irrigation area is increased at the optimal level of RWH, where the sustainability indices were greatest, the resilience of the system actually decreased. Nevertheless RWH in a system increased the overall sustainability of the water demand for irrigated agriculture, compared to a system without RWH. Also RWH provided a slight buffer in the groundwater store when drought occurred. While RWH addresses the supply-side issues of groundwater operation, the institutions that form rules for groundwater use must also be considered, because of the link between irrigation area and RWH. The Arvari River Parliament, the community-based group in the case study area, was examined according to Ostrom’s factors for collective action. It was found that the major limitation for the effectiveness of this group was the minimal information available about the aquifer characteristics.

Philosophiae Doctor - PhD / Enhancing our understanding of wetland properties and the ecosystem services provided by wetlands within a dynamic landscape, is fundamental to ensuring appropriate management strategies for enhanced biodiversity and ecosystem benefits. With increased anthropogenic activities and the impacts of climatic variability, a better understanding of the factors influencing the water balance dynamics of wetlands can provide insight into how wetlands respond to change. The main aim of the research was to improve the understanding of the spatial and temporal availability of water and storage of a depression wetland in a semi-arid climate, and to relate these to ecosystem functions. As ecosystems are intricately connected to society, a secondary aim of the research was to gain insight to how wetland ecosystems, within a changing climate and landscape, provide benefits to society, and add value to human-wellbeing. Soetendalsvlei, a shallow freshwater depression, and one of the few coastal freshwater lakes of South Africa, was the focus of the research.

Turfgrass water use (seasonal turfET) and crop coefficients were determined and a mathematical soil-water balance model for non-weighing drainage lysimeters, which simulates the occurrence (timing and amount) of drainage, was developed. Pairs of non-weighing drainage lysimeters were used to determine crop coefficients for turfgrass in four locations in the state of Utah: Logan Golf and Country Club, Murray Golf Course, Brigham Young University (Spanish Fork) Experiment Farm, and Sunbrook Golf Course (St. George). Daily weather data including air temperature, relative humidity, average wind travel, total solar radiation, precipitation, and average soil temperature were collected with an electronic weather station at each site. Daily precipitation was measured in three sites throughout the season: Murray, Spanish Fork, and Sunbrook. At Logan Golf and Country Club, precipitation was measured to November 10,2002. Water use (averages of two lysimeters) during the growing season varied from 684 to 732 mm for three years (2000- 2002) for the mid-April through late-October observation period at Logan Golf Course; 699 mm for May through October at Murray; 469 mm at Spanish Fork; and 896 mm for late-February through early November at Sunbrook, for 2002 growing season. Calculated seasonal Etr using the 82 Kimberly Penman equation with a 1 00-miles-per-day wind travel limit varied from 1166 to 1229 mm at Logan Golf and Country Club, 1067 mm at Murray, 839 mm at Spanish Fork, and 1574 mm at Sunbrook. Seasonal Etr calculated using the PM ASCE std Etr equation was greater than the 82 Kimberly Peru11an . Seasonal Eto calculated using the FAO#56 Eto equation was less than both the 82 Kimberly Penman and the PM ASCE std Etr equations. Calculated crop coefficients (as a ratio of measured crop water use and calculated potential evapotranspiration) based on alfalfa reference evapotranspiration with the 1982 Kimberly-Penman equation averaged 0.58 for the three years at Logan. Seasonal averages varied from 0.57 to 0.60. Seasonal crop coefficients (2002) were 0.57 for Logan, Spanish Fork, and Sunbrook, and 0.65 for Murray. Short-period crop coefficients also varied within a given season. Short-term crop coefficients derived from a time of wetting and drainage experiment averaged 0.55 at Logan, 0.56 at Murray, 0.60 at Spanish Fork, and 0.56 at Sunbrook.

Le travail de cette thèse s'inscrit dans le cadre du projet MAISEO qui associe, entre autres partenaires, la CACG, gestionnaire de l'eau sur des bassins hydrographiques du Sud-Ouest, Météo-France et le CESBIO. Un des objectifs est de proposer des méthodes innovantes et opérationnelles pour l'estimation des besoins en eau des cultures à l'échelle d'un territoire. Il s'agit de fournir au gestionnaire des outils qui lui permettront de mieux gérer la demande en eau d'irrigation liée à la culture dominante présente dans le Sud-Ouest de la France: le maïs. L'objectif de la thèse consistait à estimer les rendements et les besoins en eau du maïs sur de grandes surfaces. Pour cela, nous avons utilisé un modèle agro-météorologique couplé à l'imagerie satellitaire optique. De nombreuses images à haute résolution spatiale et temporelle provenant de différents capteurs ont été utilisées, préfigurant l'arrivée des données Sentinel-2 lancé en 2015. Il s'agissait dans un premier temps de coupler les données satellitaires avec le modèle SAFY (Simple Algorithm For Yield estimates, Duchemin et al., 2008a), qui simule le développement des plantes en se basant sur la théorie des efficiences (Monteith, 1972), afin d'estimer la biomasse et le rendement du maïs. De nombreuses données terrain ont permis de valider les sorties du modèle. A l'échelle régionale, les résultats ont été agrégés et comparés aux statistiques départementales Agreste. Les résultats ont conduit à proposer une nouvelle version du modèle SAFY permettant de prendre en compte la variation temporelle de l'efficience de conversion de la lumière effective (ELUE) et de la surface spécifique foliaire (SLA). Cette modification permet une meilleure prise en compte de la dynamique de croissance de la végétation et une amélioration de l'estimation du rendement tant à l'échelle locale que régionale. La méthode de calibration a également été améliorée afin de limiter le recours aux données in situ difficilement accessibles sur de grandes surfaces. Nous avons pu mettre en évidence l'apport de la double logistique, utilisée pour interpoler les profils temporels de NDVI. Cette interpolation a permis d'affiner la délimitation du cycle cultural et de contraindre plus précisément certains paramètres du modèle comme la date de levée. Une fois contraint par les données satellitaires, le modèle SAFY est capable de reproduire les rendements sur les deux départements avec une bonne précision et ce sans prendre en compte l'évolution du stock d'eau dans le sol (Battude et al., 2016) / This Ph.D. thesis is part of the MAISEO project associating partners among them: the CACG, managing the water supply of several watersheds located in the south west of France, the Meteo-France center and the CESBIO. One of the goals is to develop innovative and operational tools to estimate crops' water needs at the territory scale. The aim is to provide managers tools to better manage the water supplies linked to the predominant crop encountered in south west of France: maize. The objective of the thesis was to estimate the yield and water requirements of maize crop over large areas. For this purpose, we used an agro-meteorological model coupled to optical satellite imagery. Numerous high spatial and temporal resolution images from different sensors have been used, prefiguring the arrival of the Sentinel-2 data launched in 2015. The first part was to combine remote sensing data with the SAFY (Simple Algorithm For Yield estimates) crop model (Duchemin et al., 2008a) that simulates plant development based on Monteith theory (Monteith, 1972) in order to accurately estimate maize biomass and yield. Numerous field data have been used for the validation at local scale. At regional scale, the results have been aggregated and compared to Agreste yield statistics provided by the French government. Results led us to propose a new formulation of the SAFY model taking into account the temporal variation of the effective light use efficiency (ELUE) and of the specific leaf area (SLA). This modification allows a better simulation of the crop growth dynamics and an improvement of yield estimates at the local and regional scale. Furthermore, we changed the calibration method in order to limit the use of in situ data that are difficult to access over large areas. We also highlighted the contribution of the double logistic function, used to interpolate the NDVI time series. This interpolation enables an accurate determination of the crop growing season and it allows constraining some model parameters such as the emergence date. The SAFY model constrained by remote sensing data is able to well reproduce the yield for the two departments without taking into account the evolution of the soil water storage (Battude et al., 2016)

Traditional irrigation was practiced in Ethiopia since time immemorial. Despite this, water productivity in the sector remained low. A survey on the Godino irrigation scheme revealed that farmers used the same amount of water and intervals, regardless of crop species and growth stage. In an effort to improve the water productivity, two traditional irrigation scheduling methods were compared with two scientific methods, using furrow irrigation. The growth performance and tuber yield of potato (cv. Awash) revealed that irrigation scheduling using a neutron probe significantly outperformed the traditional methods, followed by the SWB model Irrigation Calendar. Since the NP method involves high initial cost and skills, the use of the SWB Calendar is suggested as replacement for the traditional methods. SWB is a generic crop growth model that requires parameters specific to each crop, to be determined experimentally before it could be used for irrigation scheduling. It also accurately describes deficit irrigation strategies where water supply is limited. Field trials to evaluate four potato cultivars for growth performance and assimilate partitioning, and onions' critical growth stages to water stress were conducted. Crop-specific parameters were also generated. Potato and onion crops are widely grown at the Godino scheme where water scarcity is a major constraint. These crop-specific parameters were used to calibrate and evaluate SWB model simulations. Results revealed that SWB model simulations for Top dry matter (TDM), Harvestable dry matter (HDM), Leaf area index (LAI), soil water deficit (SWD) and Fractional interception (FI) fitted well with measured data, with a high degree of statistical accuracy. The response of onions to water stress showed that bulb development (70-110 DATP) and bulb maturity (110-145) stages were most critical to water stress, which resulted in a significant reduction in onion growth and bulb yields. SWB also showed that onion yield was most sensitive to water stress during these two stages. An irrigation calendar, using the SWB model, was developed for five different schemes in Ethiopia, using long-term weather data and crop-specific parameters for potatoes and onions. The calendars revealed that water depth varied, depending on climate, crop type and growth stage. / Thesis (PhD)--University of Pretoria, 2009. / Plant Production and Soil Science / unrestricted