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Optimal Layout and Salinity Management of Drip Irrigation Systems
Leaching of soil salinity in irrigated and non-irrigated agriculture is crucial to ensure sustainable food production. Soil salinity is considered a global problem, since more than 800 million hectares (6% of the world's total area) worldwide are salt-affected. Generally, the regions affected by soil salinity also face water scarcity problems. Consequently, in these regions, even saline waters are considered to be essential resources for agriculture. The use of inefficient irrigation practices in regions that experience water scarcity, especially those using saline water, aggravates soil salinity problems. Therefore, in the context of these constraints and challenges, increasing the efficiency of water use for irrigation and leaching is necessary. An increasing interest in using drip irrigation systems (DI) is noticed in the current research that deals with water scarcity due to the benefits of applying water precisely in time and space. However, the traditional leaching guidelines, based on steady-state conditions, are not appropriate for DI. Therefore, the use of DI for leaching practices is still under question. The objectives of this study are (i) to better understand and assess the leaching process for common DI, and (ii) to develop a simulation-based optimization approach considering site-specific conditions for optimal DI design for salinity management. Accordingly, a new two-stage framework for optimizing leaching practices has been developed focusing on DI. The transient-state-based numerical model HYDRUS-2D was used for simulating water movement and solute transport processes for both stages. In the first stage, a general assessment tool for leaching practices in the form of “irrigation atlas” was created using two-dimensional (2D) numerical experiments. The atlas displays and compares the reclamation leaching results of (i) surface drip irrigation (SI), (ii) subsurface irrigation drip irrigation (SDI), (iii) sprinkler irrigation (S), and (iv) flood irrigation. The results are introduced graphically, ...
Optimal Layout and Salinity Management of Drip Irrigation Systems
Leaching of soil salinity in irrigated and non-irrigated agriculture is crucial to ensure sustainable food production. Soil salinity is considered a global problem, since more than 800 million hectares (6% of the world's total area) worldwide are salt-affected. Generally, the regions affected by soil salinity also face water scarcity problems. Consequently, in these regions, even saline waters are considered to be essential resources for agriculture. The use of inefficient irrigation practices in regions that experience water scarcity, especially those using saline water, aggravates soil salinity problems. Therefore, in the context of these constraints and challenges, increasing the efficiency of water use for irrigation and leaching is necessary. An increasing interest in using drip irrigation systems (DI) is noticed in the current research that deals with water scarcity due to the benefits of applying water precisely in time and space. However, the traditional leaching guidelines, based on steady-state conditions, are not appropriate for DI. Therefore, the use of DI for leaching practices is still under question. The objectives of this study are (i) to better understand and assess the leaching process for common DI, and (ii) to develop a simulation-based optimization approach considering site-specific conditions for optimal DI design for salinity management. Accordingly, a new two-stage framework for optimizing leaching practices has been developed focusing on DI. The transient-state-based numerical model HYDRUS-2D was used for simulating water movement and solute transport processes for both stages. In the first stage, a general assessment tool for leaching practices in the form of “irrigation atlas” was created using two-dimensional (2D) numerical experiments. The atlas displays and compares the reclamation leaching results of (i) surface drip irrigation (SI), (ii) subsurface irrigation drip irrigation (SDI), (iii) sprinkler irrigation (S), and (iv) flood irrigation. The results are introduced graphically, ...
Optimal Layout and Salinity Management of Drip Irrigation Systems
2021-06-08
Theses
Electronic Resource
English
Optimal Layout and Salinity Management of Drip Irrigation Systems
UB Braunschweig | 2022
|Agricultural reuse of high salinity wastewater through drip irrigation
British Library Conference Proceedings | 1997
|Agricultural reuse of high salinity wastewater through drip irrigation
British Library Conference Proceedings | 1997
|