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Simulating Crop Evapotranspiration Response under Different Planting Scenarios by Modified SWAT Model in an Irrigation District, Northwest China

机译:改进的SWAT模型在西北灌区模拟不同种植情景下的作物蒸散响应

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摘要

Modelling crop evapotranspiration (ET) response to different planting scenarios in an irrigation district plays a significant role in optimizing crop planting patterns, resolving agricultural water scarcity and facilitating the sustainable use of water resources. In this study, the SWAT model was improved by transforming the evapotranspiration module. Then, the improved model was applied in Qingyuan Irrigation District of northwest China as a case study. Land use, soil, meteorology, irrigation scheduling and crop coefficient were considered as input data, and the irrigation district was divided into subdivisions based on the DEM and local canal systems. On the basis of model calibration and verification, the improved model showed better simulation efficiency than did the original model. Therefore, the improved model was used to simulate the crop evapotranspiration response under different planting scenarios in the irrigation district. Results indicated that crop evapotranspiration decreased by 2.94% and 6.01% under the scenarios of reducing the planting proportion of spring wheat (scenario 1) and summer maize (scenario 2) by keeping the total cultivated area unchanged. However, the total net output values presented an opposite trend under different scenarios. The values decreased by 3.28% under scenario 1, while it increased by 7.79% under scenario 2, compared with the current situation. This study presents a novel method to estimate crop evapotranspiration response under different planting scenarios using the SWAT model, and makes recommendations for strategic agricultural water management planning for the rational utilization of water resources and development of local economy by studying the impact of planting scenario changes on crop evapotranspiration and output values in the irrigation district of northwest China.
机译:对灌溉区中不同种植情景下的作物蒸散(ET)响应进行建模,在优化作物种植模式,解决农业缺水和促进水资源可持续利用方面发挥着重要作用。在这项研究中,通过转换蒸散模块改进了SWAT模型。然后,将改进模型应用于西北清远灌区。将土地使用,土壤,气象,灌溉计划和作物系数作为输入数据,并根据DEM和当地渠道系统将灌溉区划分为多个分区。在模型校准和验证的基础上,改进后的模型显示出比原始模型更好的仿真效率。因此,使用改进的模型来模拟灌区不同种植情景下的作物蒸散响应。结果表明,在保持春季总耕地不变的情况下,减少春小麦(方案1)和夏玉米(方案2)的种植比例的情况下,作物蒸散量分别下降了2.94%和6.01%。但是,在不同情况下,总净产值呈现相反的趋势。与当前情况相比,方案1下的价值下降了3.28%,而方案2下的价值上升了7.79%。这项研究提出了一种使用SWAT模型估算不同种植情景下作物蒸散响应的新方法,并通过研究种植情景变化对农业合理管理水资源和促进当地经济发展的战略农业水管理计划提出了建议。西北灌区的作物蒸散量和产值

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