| 基于InVEST模型的青弋江流域土壤侵蚀与影响因素研究 |
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| 引用本文： | 黄振华,余健,房莉,方凤满,苗雨青,支俊俊,徐光来,水恒涛,曹雨.基于InVEST模型的青弋江流域土壤侵蚀与影响因素研究[J].水土保持学报,2023,37(5):189-197. |
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| 作者姓名： | 黄振华 余健 房莉 方凤满 苗雨青 支俊俊 徐光来 水恒涛 曹雨 |
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| 作者单位： | 1. 安徽师范大学地理与旅游学院, 安徽 芜湖 241003;2. 江淮流域地表过程与区域响应安徽省重点实验室, 安徽 芜湖 241003;3. 资源环境与地理信息工程安徽省工程技术研究中心, 安徽 芜湖 241003 |
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| 基金项目： | 国家自然科学基金项目(41977402,42271060)；安徽省高校工程技术研究中心重点项目(KJ2019A0508)；安徽省教育厅科研项目(YJS20210183) |
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| 摘 要： | 为探究安徽省青弋江流域土壤侵蚀的演变规律和驱动因素，采用InVEST模型对该流域2000—2018年的土壤侵蚀特征开展了研究，量化了不同土地利用类型、海拔、坡度下土壤侵蚀状况，并借助地理探测器对流域土壤侵蚀影响因素进行分析。结果表明：(1)2000年、2010年、2018年该流域平均土壤侵蚀模数分别为15.29,14.14,10.74 t/(hm2·a),侵蚀总量分别为1.08×107,1.00×107,0.76×107 t,呈现逐渐减小特征；(2)流域内土壤侵蚀空间差异显著，呈现“北低南高”的分布格局；(3)不同土地利用类型土壤侵蚀模数大小表现为裸地>草地>林地>耕地>建设用地>水体，全流域林地侵蚀量最大，占总侵蚀量的73.71%;(4)地形因子对流域内土壤侵蚀存在显著影响，坡度是青弋江流域土壤侵蚀主导因子，因子间交互作用对土壤侵蚀的解释力均大于单因子，其中坡度与年降水量和土地利用的协同作用解释力最强，分别达22.93%和22.29%;(5)坡地坡度降缓及增加草地和林...
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| 关 键 词： | 土地利用 InVEST模型 土壤侵蚀 地理探测器 青弋江流域 |
| 收稿时间： | 2023/2/19 0:00:00 |
Research on Soil Erosion and Influencing Factors in Qingyi River Basin Based on InVEST Model |
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| HUANG Zhenhu,YU Jian,FANG Li,FANG Fengman,MIAO Yuqing,ZHI Junjun,XU Guanglai,SHUI Hengtao,CAO Yu.Research on Soil Erosion and Influencing Factors in Qingyi River Basin Based on InVEST Model[J].Journal of Soil and Water Conservation,2023,37(5):189-197. |
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| Authors: | HUANG Zhenhu YU Jian FANG Li FANG Fengman MIAO Yuqing ZHI Junjun XU Guanglai SHUI Hengtao CAO Yu |
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| Affiliation: | 1. School of Geography and Tourism, Anhui Normal University, Wuhu, Anhui 241003;2. Key Laboratory of Earth Surface Process and Regional Response in the Yangze-Huaihe River, Wuhu, Anhui 241003;3. Engineering Technology Research Center of Resources Environment and GIS, Wuhu, Anhui 241003 |
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| Abstract: | To investigate the evolution pattern and drivers of soil erosion in the Qingyi River watershed of Anhui Province, the InVEST model was used to investigate the soil erosion characteristics of the watershed from 2000 to 2018, quantify the soil erosion conditions under different land use types, elevations, and slopes, and analyze the factors influencing soil erosion in the watershed with the help of a geographic probe. The results showed that:(1) The average soil erosion modulus in the watershed was 15.29, 14.14, and 10.74 t/(hm2·a) in 2000, 2010, and 2018, respectively, and the total erosion was 1.08×107, 1.00×107, and 0.76×107 t, respectively, showing a gradually decreasing characteristic. (2) Soil erosion in the watershed varied significantly in space, showing a distribution pattern of low in the north and high in the south. (3) The size of soil erosion modulus of different land use types showed that bare land>grassland>forestland>cultivated land>construction land>water bodies, and the erosion of forest land in the watershed was the largest, accounting for 73.71% of the total erosion. (4) Topographic factors had significant effects on soil erosion in the watershed, and slope was the dominant factor of soil erosion in the Qingyi River watershed. The explanatory power of the interaction between factors on soil erosion was greater than that of single factors, among which the synergistic effect of slope with annual precipitation and land use was the strongest, reaching 22.93% and 22.29%. (5) Soil erosion could be effectively reduced by slowing the slope and increasing grassland and woodland cover in slope areas. The results of the study provide a basis for clarifying the distribution pattern and driving factors of soil erosion in the Qingyi River basin, and can provide a basis for decision making to promote soil and water conservation management and improve ecological benefits in the Qingyi River basin. |
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| Keywords: | land use InVEST model soil erosion geographic detector Qingyi River Basin |
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