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基于改进投影寻踪方法的水资源承载力研究

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为了解决水资源承载力分类评价的高维和非线性问题,提升水资源承载力分类评价模型的精确性,提出改进的投影寻踪方法——基于最大信息熵原理的投影寻踪分类模型.对该模型中的密度窗宽R进行改进,推导得出密度窗宽的合理取值,并将该模型应用于济宁市 2010-2018 年水资源承载力状态评价;建立灰色GM(1,1)模型,对济宁市 2019-2025 年水资源承载力状态进行预测,预测结果符合实际情况.研究表明:济宁市 2010-2017 年水资源承载力评价等级为Ⅲ级,2018 年水资源承载力评价等级为Ⅱ级;预测济宁市 2019-2025 年水资源承载力状态为Ⅱ级,水资源承载力状态总体保持良好态势.通过分析各评价指标对水资源承载力的影响程度,对提升该市水资源承载力提出相关建议.
Study on Water Resources Carrying Capacity Based on Improved Projection Pursuit Method
In order to solve the issues of high-dimensional and nonlinear in the classification and evaluation of water resources carrying capac-ity,and to improve the accuracy of the water resources carrying capacity classification and evaluation model,an improved projection pursuit method based on the maximum information entropy principle was proposed.The density window width R in the model had been improved,and a reasonable value for the density window width had been derived.The model had been applied to the evaluation of water resources carrying capacity in Jining City from 2010 to 2018.The grey GM(1,1)model was established to predict the state of water resources carrying capacity in Jining City from 2019 to 2025,and the prediction results were consistent with the actual situation.The results show that the evaluation lev-el of water resources carrying capacity in Jining City from 2010 to 2017 is level Ⅲ,and the evaluation level of water resources carrying ca-pacity in 2018 is levelⅡ.It is predicted that the water resources carrying capacity of Jining City will be levelⅡfrom 2019 to 2025,and the overall water resources carrying capacity status will remain good.By analyzing the impact of various evaluation indicators on water resources carrying capacity,relevant suggestions are proposed to improve the city's water resources carrying capacity.

water resources carrying capacityprojection pursuitdensity window widthJining City

赵小勇、余静、张双、刘洪玲、刘玉玉

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浙江同济科技职业学院,浙江 杭州 311231

济南大学 水利与环境学院,山东 济南 250022

滨州市引黄灌溉服务中心,山东 滨州 256601

水资源承载力 投影寻踪 密度窗宽 济宁市

国家自然科学基金山东省自然科学基金

51909105ZR2019QEE006

2024

人民黄河
水利部黄河水利委员会

人民黄河

CSTPCD北大核心
影响因子:0.494
ISSN:1000-1379
年,卷(期):2024.46(5)
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