Simulation of regional irrigation requirement with SWAT in different agro-climatic zones driven by observed climate and two reanalysis datasets

Uniyal, Bhumika; Dietrich, Jörg; Vu, Ngoc Quynh; Jha, Madan K.; Arumí, José Luis

doi:10.1016/j.scitotenv.2018.08.248

Cited by 43 publications

(23 citation statements)

References 86 publications

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“…It is important for researchers, policymakers, and water resource managers to understand watershed scale hydrological processes to estimate forthcoming water stress and crop water demand. Researchers estimated water stress and crop productivity under different climate change conditions using both field experiments and modeling [13,17,18]. Researchers have evaluated the impacts of climate change on watershed hydrology and crop yield under existing management practices [19] or the effects of different irrigation conditions, such as irrigation amounts [20], timing, and frequency [21].…”

Section: Of 20mentioning

confidence: 99%

“…SWAT was developed to evaluate the impact of climate and land management practices on watershed hydrology in large and complex watersheds over long periods of time [27]. Worldwide, the SWAT model has been used to analyze the effects of climate change scenarios on current watershed conditions and crop production [18,28,29]. Researchers have previously applied the SWAT model to investigate adaptive management practices to mitigate climate change-induced alterations [6,30].…”

Section: Hydrologic Modelmentioning

confidence: 99%

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Modeling the Impacts of Climate Change on Crop Yield and Irrigation in the Monocacy River Watershed, USA

Paul

Dangol

Kholodovsky

et al. 2020

Climate

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Crop yield depends on multiple factors, including climate conditions, soil characteristics, and available water. The objective of this study was to evaluate the impact of projected temperature and precipitation changes on crop yields in the Monocacy River Watershed in the Mid-Atlantic United States based on climate change scenarios. The Soil and Water Assessment Tool (SWAT) was applied to simulate watershed hydrology and crop yield. To evaluate the effect of future climate projections, four global climate models (GCMs) and three representative concentration pathways (RCP 4.5, 6, and 8.5) were used in the SWAT model. According to all GCMs and RCPs, a warmer climate with a wetter Autumn and Spring and a drier late Summer season is anticipated by mid and late century in this region. To evaluate future management strategies, water budget and crop yields were assessed for two scenarios: current rainfed and adaptive irrigated conditions. Irrigation would improve corn yields during mid-century across all scenarios. However, prolonged irrigation would have a negative impact due to nutrients runoff on both corn and soybean yields compared to rainfed condition. Decision tree analysis indicated that corn and soybean yields are most influenced by soil moisture, temperature, and precipitation as well as the water management practice used (i.e., rainfed or irrigated). The computed values from the SWAT modeling can be used as guidelines for water resource managers in this watershed to plan for projected water shortages and manage crop yields based on projected climate change conditions.

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Section: Of 20mentioning

confidence: 99%

Section: Hydrologic Modelmentioning

confidence: 99%

Modeling the Impacts of Climate Change on Crop Yield and Irrigation in the Monocacy River Watershed, USA

Paul

Dangol

Kholodovsky

et al. 2020

Climate

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“…In addition, the MAD algorithm suspends irrigation after crop harvest. However, when using the SWAT default soil water content auto-irrigation method, irrigation may still occur after crop harvest, resulting in the overestimation of seasonal irrigation [22,23]. These refinements allow for improved simulation of irrigation practices that result in more accurate representation of long-term land use scenarios under irrigated conditions.…”

Section: Soil Properties Layer 1 Layer 2 Layer 3 Layermentioning

confidence: 99%

Assessment of Alternative Agricultural Land Use Options for Extending the Availability of the Ogallala Aquifer in the Northern High Plains of Texas

Chen

Marek

Marek³

et al. 2018

Hydrology

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The Ogallala Aquifer has experienced a continuous decline in water levels due to decades of irrigation pumping with minimal recharge. Corn is one of the major irrigated crops in the semi-arid Northern High Plains (NHP) of Texas. Selection of less water-intensive crops may provide opportunities for groundwater conservation. Modeling the long-term hydrologic impacts of alternative crops can be a time-saving and cost-effective alternative to field-based experiments. A newly developed management allowed depletion (MAD) irrigation scheduling algorithm for Soil and Water Assessment Tool (SWAT) was used in this study. The impacts of irrigated farming, dryland farming, and continuous fallow on water conservation were evaluated. Results indicated that simulated irrigation, evapotranspiration, and crop yield were representative of the measured data. Approximately 19%, 21%, and 32% reductions in annual groundwater uses were associated with irrigated soybean, sunflower, and sorghum, respectively, as compared to irrigated corn. On average, annual soil water depletion was more than 52 mm for dryland farming scenarios. In contrast, only 18 mm of soil water was lost to evaporation annually, for the long-term continuous fallow simulation. The fallow scenario also showed 31 mm of percolation for aquifer recharge.

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“…Fu et al (2019) adopted SWAT to simulate the effect of 16 kinds of irrigation schemes on crop yield and water use efficiency in the downstream of the Songhua River Basin in China, and determined the optimum irrigation schemes of corn and soybean crops by means of Analytic Hierarchy Process (AHP) and Gray Interconnect Degree Analysis (GIDA). Uniyal et al (2019) calibrated SWAT in four catchments of different agro-climatic zones/countries to simulate the crop growth under deficit irrigation, and found that deficit irrigation (25-48%) achieved substantial water savings with only a small decrease in annual average crop yield in all climatic zones.…”

Section: Introductionmentioning

confidence: 99%

Accessing future crop yield and crop water productivity over the Heihe River basin in northwest China under a changing climate

et al. 2021

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Quantitative evaluation of the response of crop yield and crop water productivity (CWP) to future climate change is important to prevent or mitigate the adverse effects of climate change. This study made such an evaluation for the agricultural land over the Heihe River basin in northwest China. The ability of 31 climate models for simulating the precipitation, maximum temperature, and minimum temperature was evaluated for the studied area, and a multi-model ensemble was employed. Using the previously well-established Soil and Water Assessment Tool (SWAT), crop yield and crop water productivity of four major crops (corn, wheat, barley, and spring canola-Polish) in the Heihe River basin were simulated for three future time periods (2025–2049, 2050–2074, and 2075–2099) under two Representative Concentration Pathways (RCP4.5 and RCP8.5). The results revealed that the impacts of future climate change on crop yield and CWP of wheat, barley, and canola would all be negative, whereas the impact on corn in the eastern part of the middle reaches of the Heihe River basin would be positive. On the whole, climate change under RCP8.5 scenario would be more harmful to crops, while the corn crops in the Minle and Shandan counties have better ability to cope with climate change.

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Simulation of regional irrigation requirement with SWAT in different agro-climatic zones driven by observed climate and two reanalysis datasets

Cited by 43 publications

References 86 publications

Modeling the Impacts of Climate Change on Crop Yield and Irrigation in the Monocacy River Watershed, USA

Modeling the Impacts of Climate Change on Crop Yield and Irrigation in the Monocacy River Watershed, USA

Assessment of Alternative Agricultural Land Use Options for Extending the Availability of the Ogallala Aquifer in the Northern High Plains of Texas

Accessing future crop yield and crop water productivity over the Heihe River basin in northwest China under a changing climate

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