| 引用本文: | 吴泽宁,黄硕俏,狄丹阳,等.黄河流域农业系统水资源价值及其空间分布研究[J].灌溉排水学报,2019,38(12):93-100. |
| ,et al.黄河流域农业系统水资源价值及其空间分布研究[J].灌溉排水学报,2019,38(12):93-100. |
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| 摘要: |
| 【目的】分析黄河流域农业系统水资源空间分布特征。【方法】以黄河流域为研究对象，通过能值理论与方法、空间自相关分析法及空间滞后回归模型，研究了农业系统水资源价值空间分布特征及其主要影响因素。【结果】①农业系统水资源价值介于4.01~6.10元/m3，流域中下游价值较高；②农业系统水资源价值全局莫兰（Moran）指数为0.277 2，呈空间正向自相关特征；主要以高值集聚型（H-H）聚集在流域中下游；③农业系统水资源价值空间变化的主要影响因素为GDP、海拔、用水量。【结论】以价值引导水资源分配，增加流域中下游农业用水有助于提高流域整体水资源农业生产效益。 |
| 关键词: 能值； 水资源价值； 空间自相关； 空间滞后回归模型； 农业； 黄河流域 |
| DOI：10.13522/j.cnki.ggps.20190281 |
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| Study on the Value and Spatial Distribution of Water Resources in Agricultural System of the Yellow River Basin |
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WU Zening，HUANG Shuoqiao，DI Danyang，WANG Huiliang
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School of Water Conservancy and Environment, Zhengzhou University, Zhengzhou 450001, China
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| Abstract: |
| 【Objective】The purpose of this paper is to analyze the spatial distribution characteristics of water resources in the agricultural system of the Yellow River Basin,【Method】Taken the Yellow River Basin as the research object, emergy theory and method, spatial autocorrelation analysis and spatial lag regression model were used to investigate the spatial distribution characteristics of water resources value of Agricultural System and its main influencing factors in the Yellow River Basin. 【Result】①The value of water resources in agricultural system ranged from 4 to 6 yuan/m3, and the value of water resources in the middle of the basin was higher;②The global Moran index of water resources value in agricultural system was 0.277 2, showing a positive spatial autocorrelation. The high-value agglomeration (H-H) was mainly concentrated in the middle of the basin; ③The main influencing factors of the spatial change of water resources value in agricultural system were GDP, altitude and water consumption. 【Conclusion】The value of water resources could guide its distribution. Increasing the agricultural water consumption in the middle and lower reaches was conducive to improving the agricultural production efficiency of water resources in the whole basin. |
| Key words: emergy; water resources value; spatial autocorrelation; spatial lag regression model; agriculture; the Yellow River Basin |
