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机构地区:[1]长安大学环境科学与工程学院,陕西西安710054 [2]长安大学旱区地下水文与生态效应教育部重点实验室,陕西西安710054
出 处:《排灌机械工程学报》2017年第7期609-615,626,共8页Journal of Drainage and Irrigation Machinery Engineering
基 金:"十二五"国家科技支撑计划项目(2011BAD29B0104)
摘 要:依据广义的农业水资源量、耕地等数据,对榆林市各区县水土资源匹配格局进行了分析,结果表明榆林市水土资源匹配的区域基尼系数为0.137 5,匹配程度较优;全市水土资源匹配系数为5.821×103m3/hm2,各区县水土资源匹配系数有一定的波动;当量系数表明榆林市农业用水量较大,超出自然水平.选取20个评价指标,建立榆林市农业水土资源承载力DPSIR评价模型,依据投影寻踪模型,采用遗传算法优化求解,得到各区县农业水土资源承载力的相对水平,其中榆阳水土资源承载力全市最高,绥德水土资源承载力最低,北六县的农业水土资源承载力整体高于南六县的.研究结果可为提高榆林市水土资源利用效率和农业发展提供参考.Evaluation of agricultural land and water resources carrying capacity is a way to measure the adaptability of regional water and soil resources to social development. Based on generalized data in ag- ricultural water resources and cultivated land, matching patterns in each district and county of Yulin City were analyzed. The regional Gini coefficient is 0. 137 5, indicating an excellent match between two recourses. The matching coefficient of the whole city is 5. 821 × 10^3 m^3/hm2, which shows a varia- tion from one district or county to another. The consumption of Yulin City is beyond the natural equivalent coefficient illustrates that agricultural water level. A DPSIR model for evaluating carrying capacity of Yulin City was established based on twenty indexes. The best projection direction was determined by using projection pursuit classification model, thus relative carrying capacity level of agricultural soil and water resources were evaluated for every district and county. It is shown that the relative carrying capacity level of Yuyang is the highest, and the level of Suide is the lowest. Generally, the carrying capacity of the six districts and counties in the north are higher than the other six in the south. This study provides a reference for improving utilization efficiency of water and soil resources and agricultu- ral development in Yulin City.
关 键 词:农业水土资源 匹配 承载力 DPSIR模型 投影寻踪模型 榆林
分 类 号:S271[农业科学—农业水土工程]
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