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| SWAT与GIS耦合的流域多要素水环境管控单元划分 |
| Division of multi-factor water environmental control units in watersheds based on the SWAT and GIS coupled models |
| Received:February 20, 2024 |
| DOI：10.13254/j.jare.2024.0101 |
| 中文关键词: 多要素水环境管理，控制单元划分，SWAT模型，GIS技术，岷江流域 |
| 英文关键词: multi-factorial water environment management, control unit division, SWAT model, GIS technology, Minjiang River basin |
| 基金项目:国家自然科学基金项目（42101315）；四川省自然科学基金项目（2022NSFSC1012）；四川省青年科技创新团队项目（2022JDTD0005）；四川循环经济研究中心课题（XHJJ-2002，XHJJ-2005）；中国工程院咨询研究项目（Q113520S02003） |
| Author Name | Affiliation | | YU Yang | School of Environmental Science and Engineering, Southwest Jiaotong University, Chengdu 611756, China | | MIN Xuefeng | School of Environmental Science and Engineering, Southwest Jiaotong University, Chengdu 611756, China | | WANG Dan | School of Environmental Science and Engineering, Southwest Jiaotong University, Chengdu 611756, China | | LIU Yumei | School of Environmental Science and Engineering, Southwest Jiaotong University, Chengdu 611756, China | | WEN Linglong | School of Environmental Science and Engineering, Southwest Jiaotong University, Chengdu 611756, China | | WANG Litong | School of Environmental Science and Engineering, Southwest Jiaotong University, Chengdu 611756, China | | ZHAO Rui | School of Environmental Science and Engineering, Southwest Jiaotong University, Chengdu 611756, China
State-Province Joint Engineering Research Lab in Spatial Information Technology for High Speed Railway Operation Safety, Southwest Jiaotong University, Chengdu 611756, China |
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| 中文摘要: |
| 本研究提出了一种流域多要素管控单元划分及管控风险等级评估方法，通过耦合 SWAT 模型与 ArcGIS 技术，结合熵权TOPSIS法和Jenks自然断裂法实现了岷江流域多要素水环境管控单元划分和风险等级评价。结果显示，岷江流域被划分为12个管控单元及4类管控级别：包括2个极高风险、2个高风险、3个中风险和5个低风险管控单元。各控制单元的综合属性值与实测要素值的拟合度（R2）达0.63。本研究划分结果能反映各要素的空间分布特征及变化趋势，可为流域水环境精细化管理提供技术支撑和决策依据。 |
| 英文摘要: |
| This study developed a methodology for the multi-factorial control unit division and risk level assessment in a watershed, aimed at providing technical support and a decision-making basis for the refined watershed management. By integrating the SWAT model with ArcGIS technology and combining the entropy weight TOPSIS method and the Jenks natural fracture method, we have successfully delineated multi-factorial water environment control units and evaluated risk levels in the Minjiang River basin. The results indicated that the Minjiang River basin was divided into 12 control units and four control levels, including two units with a very high risk, two units with a high risk, three units with a medium risk, and five units with a low risk. The fit between the integrated attributes of each control unit and the measured element showed R2 values reaching 0.63, indicating that the delineation results can be used to reflect the spatial distribution characteristics and change trends of each element. |
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