Arid
基于Google Earth Engine的干旱区水资源承载现状精准核算--以新疆生产建设兵团为例
其他题名Accurate calculation of water resources carrying status in arid areas based on Google Earth Engine: A case study of Xinjiang Production and Construction Corps
李婧昕; 许尔琪; 张红旗
来源期刊干旱区地理
ISSN1000-6060
出版年2021
卷号44期号:5页码:1417-1426
中文摘要近年来,水资源利用超载导致新疆生产建设兵团(下称兵团)生产生态问题频发,科学精准评估水资源承载现状能够为兵团社会经济发展和生态环境治理提供重要参考。兵团社会经济用水中绝大部分为灌溉用水,因此耕地面积数据精度显著影响水资源承载现状评价结果,然而现实中耕地面积统计数据存在一定偏差,增加了水资源承载现状评估的不确定性。基于此,通过引入Google Earth Engine(GEE)大数据平台和净耕地系数,精确修订耕地面积;并模拟常规灌溉、膜上灌溉和混合灌溉3种灌溉用水情景,构建三生用水核算体系,对兵团及各师水资源承载现状进行精准评估。结果表明:兵团耕地校正系数为1.27,说明兵团耕地面积有约27%的偏差;在与实际用水相近的混合灌溉情景中,基于耕地面积统计数据的兵团总需水量为106.45*10~8 m~3,相对兵团总引水量尚有9.20%余量;通过GEE校正耕地面积后,兵团总需水量为125.64*10~8 m~3,超载7.16%,且13个师中仅四师和十师2个师用水量不超载,表明灌溉用水过度占用有限的水资源量、挤占大量生态用水,是导致兵团水资源超载和生产生态问题频发的关键。本研究实现了对兵团水资源承载现状的科学精准评估,能够为兵团水资源利用及优化配置、区域可持续发展提供参考。
英文摘要In recent years, a series of production and ecological environmental problems have occurred frequently because of the overloading of water resources utilized by the Xinjiang Production and Construction Corps (XJPCC) in China. Assessing the water carrying capacity of an area can precisely provide reference to socioeconomic development and ecological environment management of the XJPCC. Considering that irrigation water accounts for most of the total socioeconomic water consumption of the XJPCC, the precise level of cultivated land area significantly influences the accurate assessment of the water carrying status. However, the statistics of cultivated land area shows inaccuracies, which increase the uncertainty in the water carrying status assessment. For these reasons, the Google Earth Engine (GEE) platform and net cultivated land coefficient were used to precisely obtain the proportion of cultivated land in this research. In this study, three scenarios were simulated on the basis of different irrigation quotas; these scenarios were the conventional irrigation, irrigation on a plastic film, and mixed standard irrigation scenarios. The total water requirement under the three scenarios could be regarded as the maximum, minimum, and middle values of the XJPCC theoretically. Besides the estimation of the irrigation water requirement for planting, aliving-production-ecologywater resources utilization accounting system was constructed for the accurate assessment of the water resource carrying status of the total XJPCC and of each division. The results show that the correction coefficient of cultivated land of the XJPCC is 1.27, which indicates that the inaccuracy in statistics is approximately 27%. In the mixed standard irrigation scenario, the scenario closest to the existing situation, the total water demand of the XJPCC was 106.45*10~8 m~3 before the correction of the inaccuracy in the actual cultivated land use value; in this scenario, a 9.20% surplus in the total water diversion of the XJPCC was calculated. However, considering the revised cultivated land area, the total water demand was 125.64*10~8 m~3, and it was found that the water resource utilization overloading rate was 7.16%, and only 2 of 13 divisions'water resource utilization were within the carrying capacity. Irrigation water use required more than the existing water resources and therefore used ecological water, which became the critical factor in the overload of water resources utilization. Our study realizes the accurate and scientific assessment of the water resource carrying capacity of the XJPCC and provides a reference for utilizing and optimizing water resources and the sustainable development of agriculture.
中文关键词水资源承载现状 ; 精准核算 ; 新疆生产建设兵团 ; 灌溉用水 ; 超载程度
英文关键词Google Earth Engine water resources carrying status accurate calculation Google Earth Engine Xinjiang Production and Construction Corps irrigation water overload rate
类型Article
语种中文
收录类别CSCD
WOS类目Engineering
CSCD记录号CSCD:7061821
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/377640
作者单位李婧昕, 中国科学院地理科学与资源研究所;;中国科学院大学, 中国科学院陆地表层格局与模拟重点实验室;;, ;;, 北京;;北京 100101;;100049, 中国.; 许尔琪, 中国科学院地理科学与资源研究所, 中国科学院陆地表层格局与模拟重点实验室, 北京 100101, 中国.; 张红旗, 中国科学院地理科学与资源研究所, 中国科学院陆地表层格局与模拟重点实验室, 北京 100101, 中国.
推荐引用方式
GB/T 7714
李婧昕,许尔琪,张红旗. 基于Google Earth Engine的干旱区水资源承载现状精准核算--以新疆生产建设兵团为例[J],2021,44(5):1417-1426.
APA 李婧昕,许尔琪,&张红旗.(2021).基于Google Earth Engine的干旱区水资源承载现状精准核算--以新疆生产建设兵团为例.干旱区地理,44(5),1417-1426.
MLA 李婧昕,et al."基于Google Earth Engine的干旱区水资源承载现状精准核算--以新疆生产建设兵团为例".干旱区地理 44.5(2021):1417-1426.
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