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基于多源数据的宁夏贺兰县现代化生态灌区健康评价
引用本文:杨振峰,田军仓,冯克鹏,龚雪.基于多源数据的宁夏贺兰县现代化生态灌区健康评价[J].农业工程学报,2021,37(24):307-316.
作者姓名:杨振峰  田军仓  冯克鹏  龚雪
作者单位:1. 宁夏大学土木与水利工程学院,银川 750021;1. 宁夏大学土木与水利工程学院,银川 750021;2. 宁夏节水灌溉与水资源调控工程技术研究中心,银川 750021;3. 旱区现代农业水资源高效利用教育部工程研究中心,银川 750021
基金项目:宁夏回族自治区重点研发计划重大项目(2018BBF02022);宁夏高等学校一流学科建设项目(NXYLXK2017A03;NXYLXK2021A03))
摘    要:现代化生态灌区是灌区发展方向,因此,灌区健康水平评价具有重要意义。该研究根据现代化生态灌区的概念、内涵要求,应用知识图谱可视化工具VOSviewer对国内外灌区综合评价研究的指标体系进行系统梳理,筛选共现频率高的关键指标,在结合实际、广泛调研的基础上,构建了包括生态环境、输配水现代化、田间工程现代化、生产及管理现代化、生产效益5类一级指标,共计18个二级指标的宁夏贺兰县现代化生态灌区综合评价指标体系,并以乡镇为尺度划分评价单元,结合遥感数据、调研统计、田间试验数据实现指标定量化,利用层次-模糊综合评价方法,对宁夏贺兰县现代化生态灌区健康水平进行综合评价。结果表明:1)对于权重较大的二级指标信息化管理水平(权重为0.100)、主要排水沟水质(权重为0.091)、灌溉保证能力(权重为0.090),各评价单元健康水平较好且单元之间差异性小;2)各评价单元综合评价结果显示南梁台子及京星农牧场健康水平等级值最高(0.81),最低为洪广镇(0.69),所有评价单元均处于二至三级健康水平之间;3)贺兰县灌区整体处于一级健康水平的测度值(0.325)最大,表明灌区整体处于一级健康水平,但一至四级健康水平的测度值差别较小,存在健康水平恶化的风险较大,可从发展节水灌溉措施,提高规模化生产程度,完善管理制度,增大水域面积等方面优化灌区结构。该研究可为宁夏乃至西北现代化生态灌区建设提供参考。

关 键 词:遥感  生态  灌区  指标体系  健康评价  宁夏贺兰县
收稿时间:2021/7/2 0:00:00
修稿时间:2021/12/9 0:00:00

Health evaluation of the modern ecological irrigation district using multisource data in Helan County, Ningxia, China
Yang Zhenfeng,Tian Juncang,Feng Kepeng,Gong Xue.Health evaluation of the modern ecological irrigation district using multisource data in Helan County, Ningxia, China[J].Transactions of the Chinese Society of Agricultural Engineering,2021,37(24):307-316.
Authors:Yang Zhenfeng  Tian Juncang  Feng Kepeng  Gong Xue
Institution:1. School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China;;1. School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China; 2. Engineering Technology Research Center of Water-Saving and Water Resource Regulation in Ningxia, Yinchuan 750021, China. 3. Engineering Research Center for Efficient Utilization of Modern Agricultural Water Resources in Arid Regions, Ministry of Education, Yinchuan 750021, China
Abstract:Abstract: An ecological irrigation district has emerged as the modern management with healthy ecosystems in precision agriculture. A health assessment of irrigation districts has been one of the most important operations for the decision-making on agricultural water management and pollution. In this study, a novel health evaluation was made on the ecological irrigation district using multisource data. A study area was selected as a part of the Yellow River basin, located at Helan County in Ningxia, China. A knowledge mapping was also applied to systematically sort out the index systems of comprehensive evaluation on the irrigation districts using a VOSviewer platform. The key indicators were then screened with a high co-occurrence frequency. An indicator system was constructed for the comprehensive evaluation of the ecological irrigation districts. Five categories of the primary indicators were divided in the indicator system, including the ecological environment (B1), the modernization of water transmission and distribution (B2), and the modernization of field engineering (B3), the modernization of production and management (B4), and production efficiency (B5). There was also 18 second-grade indicators in total. All indicators were classified into one to four levels of health. With the support of GIS, these indicators were quantified by combining the remote sensing data (LandSat8, MODIS) with research statistics and field trial data. The weight of each indicator was confirmed through Analytic Hierarchy Process (AHP). The evaluation data was divided by the scale of townships, where each administrative division was used as an evaluation unit. Finally, a fuzzy evaluation model was used to implement the comprehensive evaluation on the health level of the ecological irrigation district in the study area. The results show that there were large differences in the indicator B1 among the evaluation units, especially from the indicator of watershed area (C13) and the indicator of water quality in the main drainage ditches (C14), indicating a higher weight. At the same time, the degree of aridity (vegetation index VSWI) (C16) indicated a great potential to save water in the study area. Therefore, it was still encouraged to develop water-saving irrigation. More importantly, there were small differences in the indicators of B2, B3, B4, and B5 among the evaluation units, indicating the consistent upgrading of irrigation districts. Consequently, the highest value of health level (0.81) was found in Nanliangtaizi and Jingxing Farm, whereas, the lowest value was in Hongguang Town (0.69), where all evaluation units were in the range of health level 3 to 2. In addition, 32.49% of the irrigation districts were presented at the first level of health, whereas, 27.18% of the irrigation districts were at the second level, indicating an excellent operating condition. This study can provide a strong reference to efficiently construct the ecological irrigation districts in Northwest China.
Keywords:remote sensing  ecology  irrigation districts  indicator system  health evaluation  Helan County of Ningxia
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