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农业节水发展水平综合评价是制定农业节水发展规划,实施农业投资决策的基础.本文综合分析了农业节水发展水平的影响因素,选取了工程节水、农艺节水和管理节水3个二级指标和33个三级指标,建立了区域农业节水发展水平综合评价指标体系,并通过主成分分析法将其从33个指标简化、降维成14个评价指标,提高了评价指标体系的实用性和科学性;采用组合权重法将主观赋权法与客观赋权法融合,提高了权重确定的准确性;基于逼近理想解法构建了区域农业节水发展水平综合评价模型,并对四川省农业节水发展水平进行了综合评价.结果表明,四川21个地区农业节水发展水平较低,只有成都、攀枝花、广元3个地区处于“一般”水平;德阳、遂宁、内江等5个地区处于“较差”水平;甘孜、阿坝、凉山等13个地区处于“差”水平;四川全省农业节水发展水平综合评价结果处于“较差”水平,表明四川省未来农业节水发展潜力较大.模型评价结果符合实际情况,对于不同区域农业节水发展具有较强的指导作用.
The comprehensive evaluation of agricultural water-saving development level is the basis for formulating agricultural water-saving development planning and implementing agricultural investment decision-making.This paper comprehensively analyzes the influencing factors of agricultural water-saving development level, selects three project water-saving, agronomic water-saving and management water-saving Two indicators and 33 three indicators, the establishment of a regional agricultural water-saving development level of the comprehensive evaluation index system, and through the principal component analysis of its simplified from 33 indicators, reduced to 14 evaluation indicators and improve the evaluation index system The combination of subjective weighting method and objective weighting weight is adopted to improve the accuracy of weight determination. Based on the approximation ideal solution, a comprehensive evaluation model of regional agricultural water-saving development level is constructed, The results showed that the level of water-saving development in agriculture in 21 districts in Sichuan Province was relatively low, only in Chengdu, Panzhihua and Guangyuan, and in the “General” level; Deyang, Suining, Neijiang and other 5 The areas are at the level of “poor”; the 13 areas of Ganzi, Aba and Liangshan are at the “poor” level; the comprehensive evaluation results of the level of agricultural water-saving development in Sichuan province are at “ Poor ”level, indicating that there is a great potential for future development of water saving in agriculture in Sichuan Province.The model evaluation results are in line with the actual conditions and have a strong guiding role for agricultural water saving development in different regions.