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Development of Crop Water Demand Based Water Delivery Schedule for a Canal Command

机译:基于作物需水量的运河指挥供水时间表的开发

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Crop water demand-based canal water delivery schedule was developed using geospatial tools and CROPWAT model for the Jhajjar distributary of Western Yamuna Canal Command in Haryana, India. The geospatial database of different soil, water and crop parameters in the command area were developed and analyzed using the Geographic Information System (GIS) tool. Further, the geospatial data were used to work out the irrigation schedule of different crops using CROPWAT model. It was observed from the analysis that the gross irrigation water requirement of wheat was 363.4 mm and that of rice was 1386 mm with effective rainfall depths of 55.8 and 461.8 mm during the wheat (rabi) and rice (kharif) growing seasons, respectively. The crop water demand driven protocol developed in this study estimated that about 25.5% of area under the Jhajjar distributary could be supplied with adequate irrigation, considering the operational canal release roster of the distributary. Nontheless, it could be recommended to modify the existing roster as per the crop water demand estimates, or use of ground water resource in area of deficit canal supply to match the crop water demand in the entire canal command.
机译:使用地理空间工具和CROPWAT模型,为印度哈里亚纳邦的西亚穆纳河运河司令部的贾哈吉尔分水厂开发了基于作物需水的运河供水时间表。使用地理信息系统(GIS)工具开发并分析了命令区域中不同土壤,水和作物参数的地理空间数据库。此外,使用CROPWAT模型将地理空间数据用于计算不同作物的灌溉计划。通过分析发现,在小麦(狂犬病)和水稻(哈里夫)生长期,小麦的总灌溉需水量为363.4 mm,水稻为1386 mm,有效降雨深度分别为55.8和461.8 mm。这项研究制定的以作物需水为驱动的方案估计,考虑到该分水渠的运营渠系,可以在贾贾尔分水岭下的大约25.5%的区域提供充足的灌溉。但是,建议根据农作物需水量估算修改现有花名册,或在缺水运河供应地区使用地下水资源,以匹配整个运河命令中的农作物需水量。

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