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首页> 外文期刊>Journal of Hydrology >Spatial and temporal variability analysis of green and blue evapotranspiration of wheat in the Egyptian Nile Delta from 1997 to 2017
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Spatial and temporal variability analysis of green and blue evapotranspiration of wheat in the Egyptian Nile Delta from 1997 to 2017

机译:1997至2017年埃及尼罗河三角洲小麦绿色和蓝色蒸散的空间与颞型变异分析

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Assessing green and blue water evapotranspiration (GWET and BWET) is the key to water resources management and improving water productivity. This study focuses on assessing, evaluating and managing evapotranspiration in Egyptian Nile Delta over 1997-2017 for thirteen regions. The monthly data of minimum and maximum temperatures, precipitation and solar radiation from November to May were derived from open access data for calculation of reference evapotranspiration and rainfall accounts. Wheat crop coefficient (K-c) values were estimated using the air temperature and base temperature of crop. GWET and BWET were calculated and mapped for each region in the ArcGIS environment. Land use land cover (LULC) was analyzed during 1997, 2005, 2011, and 2017 using Landsat images. The main findings of the research are as follows: (1) average values of crop coefficients Kc-init, Kc-mid and Kc-end were 0.72, 1.13, and 0.41 through initial, middle, and end growing seasons, respectively; (2) the best regions for saving green and blue water were Sidi-Salim, Bilqas, Ar-Riyad, Al-Hamul, and Biyala; (3) the total water saved was 4.80% and 53.12% of blue and green water accounts; (4) high coefficients of determination between precipitation, GWET, and BWET proportions were 0.99 for both. Furthermore, relative irrigation supply is a good indicator for predicting GWET and BWET with determination coefficients of 0.99 and 0.76, respectively. It can be concluded that the data integration of geographic information and LULC changes is the best way for water management and sustainable agro system development under limited water resources.
机译:评估绿水和蓝水蒸散量(GWET和BWET)是水资源管理和提高水生产力的关键。本研究侧重于评估、评估和管理埃及尼罗河三角洲1997-2017年13个地区的蒸散量。11月至5月的最低和最高温度、降水量和太阳辐射的月度数据来自开放获取数据,用于计算参考蒸散量和降雨账户。小麦作物系数(K-c)值是利用作物的气温和基础温度估算的。计算并绘制ArcGIS环境中每个区域的GWET和BWET。利用陆地卫星图像对1997年、2005年、2011年和2017年的土地利用/土地覆盖(LULC)进行了分析。主要研究结果如下:(1)作物系数Kc-init、Kc-mid和Kc-end在生长初期、中期和末期的平均值分别为0.72、1.13和0.41;(2) 节约绿色和蓝色水的最佳地区是西迪萨利姆、比尔卡斯、阿尔里亚德、哈穆尔和比亚拉;(3) 总节水量分别占蓝绿水账户的4.80%和53.12%;(4) 降水量、GWET和BWET比例之间的高确定系数均为0.99。此外,相对灌溉供应量是预测GWET和BWET的一个良好指标,决定系数分别为0.99和0.76。可以得出结论,在有限的水资源条件下,地理信息和LULC变化的数据集成是水管理和可持续农业系统发展的最佳途径。

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