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基于水代谢和水循环理论的石羊河流域水资源承载力评价

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基于水代谢和水循环理论,构建了包含输入、消耗、活力、调节、输出5个子系统的水资源承载力评价指标体系,采用最小二乘法组合网络层次分析法和熵权法确定权重,基于可变模糊集模型综合评价了石羊河流域2011-2020年水资源承载力,耦合高斯混合回归模型和3种可解释性机器学习方法量化了各评价指标对承载力的影响,从全局和局部尺度探究了其与水资源承载力的关系。结果表明:2011-2020年流域水资源承载力总体呈波动向好态势,但仍处于濒临超载的状态,评分值由2011年的3。79增长到2013年的4。18,之后下降到2020年的3。23;高斯混合回归模型能够较好地处理高维、小样本的水资源承载力指标数据;单位面积农业灌溉用水量、污水处理回用率、生态环境用水率、水资源开发利用率、产水模数和地下水开采率是该流域水资源承载力的主要影响因素;从全局看,水资源承载力与主要影响因素呈非线性关系,并随其非单调变化,从局部看,2011-2015年主要影响因素多表现为对水资源承载力的抑制作用,2016-2020年逐步转为促进作用;流域水资源承载力虽有提高,但仍需加强水资源开发利用管理,降低地下水开采率。
Water resources carrying capacity evaluation in the Shiyang River Basin based on theories of water metabolism and water cycle
A water resources carrying capacity evaluation index system consisting of five subsystems,including input,consumption,vitality,regulation,and output,was constructed based on the theories of water metabolism and water cycle.The weights of different indicators were determined using the least squares method,together with the analytic hierarchy process and entropy weight method,and the water resources carrying capacity of the Shiyang River Basin was comprehensively evaluated using the variable fuzzy set model.The Gaussian mixture regression model was coupled with three interpretable machine learning methods to quantify the impact of each evaluation indicator on the water resources carrying capacity,and explore their relationships on both global and local scales.The results indicate that from 2011 to 2020,the water resources carrying capacity of the river basin showed an improving trend with fluctuation,but it was still on the verge of overload.The score of water resources carrying capacity increased from 3.79 in 2011 to 4.18 in 2013,and then decreased to 3.23 in 2020.The Gaussian mixture regression model performed well in handling high-dimensional and small-sample water resources carrying capacity indicator data.Indicators,including per-unit water consumption for agricultural irrigation,reuse rate of sewage treatment,water consumption rate of ecological environment,water resources development and utilization rate,water production modulus,and groundwater exploitation rate are the dominant factors restricting the water resource carrying capacity of the river basin.From a global perspective,there was a non-linear relationship between water resources carrying capacity and the dominant factors,and water resources carrying capacity changed non-monotonically with those indicators.From a local perspective,the dominant factors tended to inhibit water resource carrying capacity from 2011 to 2015,while they gradually shifted to promotion factors from 2016 to 2020.Although the water resource carrying capacity in the river basin has been improved,it is necessary to strengthen the management in water resources development and utilization and reduce groundwater extraction rate in future.

water resources carrying capacityvariable fuzzy setGaussian mixture regression modeltheories of water metabolism and water cycleShiyang River Basin

贾玉博、杨宏伟、粟晓玲、褚江东、徐吉海

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西北农林科技大学旱区农业水土工程教育部重点实验室,陕西杨凌 712100

西北农林科技大学水利与建筑工程学院,陕西杨凌 712100

甘肃省水利厅石羊河流域水资源利用中心,甘肃武威 733000

水资源承载力 可变模糊集 高斯混合回归模型 水代谢和水循环理论 石羊河流域

国家重点研发计划项目中央高校基本科研业务费专项资金资助项目

2022YFD19005012023HHZX004

2024

水资源保护
河海大学 中国水利学会环境水利研究会

水资源保护

CSTPCD北大核心EI
影响因子:0.827
ISSN:1004-6933
年,卷(期):2024.40(5)