The study of the effect of vegetation cover on water and sediment content is of great significance for the in-depth understanding of ecological and environmental effects in river basins and the formulation of corresponding management measures. Based on the monitoring data of rainfall and runoff of Panjiazhuang and Dangchengwan Hydrologic Stations in Shule River Basin from 2000 to 2020 and the sediment discharge of Changmabao, methods such as geographic information technology (GIS), landscape pattern analysis, land use transfer matrix, correlation analysis, principal component analysis, and linear regression analysis were used to study water and sediment change, land use pattern, vegetation change characteristics, and local water and sediment change in Shule River Basin and construct vegetation–topographic landscape factors. The main research results are as follows: (1) Vegetation coverage in the Shule River Basin increased year by year from 2000 to 2020, with a cumulative increase of 0.064 in 20 years. Vegetation cover has a significant effect on water and sediment content, and the correlation is −0.966. (2) The cultivated land area of the Shule River Basin increased by 604 km2 from 2000 to 2020, and the conversion rate was 67%. From 2000 to 2020, the water area increased by 442 km2, and the conversion rate was 51%. The area of grassland and forest increased by 198 km2 and 12 km2, respectively, and the conversion rate was 68% and 33%, respectively. Forest had the highest transfer rate (0.67). The lowest conversion rate was 0.32 for grassland. (3) The variation coefficient of water and sediment content in Shule River Basin during 1971–2020 was 45.21%, and the highest variation coefficient during 2001–2010 was 49.15%. The lowest variation coefficient was 39.73% during 2011–2020. The annual sediment transport in the Shule River Basin fluctuates greatly and has a high degree of dispersion during 1971–2020. (4) The results of the landscape index in Shule River Basin during 2000–2020 had a small difference, with a difference of less than 0.5. According to the principal component analysis of landscape index and water and sediment content, the maximum patch index (LPI) had the strongest positive correlation with water and sediment content (0.958). The diversity index SHDI had the strongest negative correlation with water and sediment content (−0.995).

中文翻译：

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疏勒河流域植被-地形景观及水沙影响

研究植被覆盖对水沙含量的影响对于深入了解流域生态环境效应以及制定相应的管理措施具有重要意义。基于疏勒河流域潘家庄、党城湾水文站2000—2020年降雨、径流和昌马堡泥沙排放监测数据，采用地理信息技术（GIS）、景观格局分析、土地利用转移矩阵、关联分析等方法运用分析法、主成分分析法和线性回归分析法，对疏勒河流域水沙变化、土地利用格局、植被变化特征以及局部水沙变化进行研究，构建植被-地形景观因子。主要研究成果如下：（1）2000年至2020年，疏勒河流域植被覆盖度逐年增加，20年累计增加0.064。植被覆盖度对水分和泥沙含量有显着影响，相关性为-0.966。 （2）2000年至2020年，疏勒河流域耕地面积增加604平方公里，转化率为67%。 2000年至2020年，水域面积增加442平方公里，转化率为51%。草地和森林面积分别增加198平方公里和12平方公里，转化率分别为68%和33%。森林的转移率最高（0.67）。草地的转化率最低为0.32。 （3）1971—2020年疏勒河流域水沙含量变化系数为45.21%，2001—2010年变化系数最大为49.15%。 2011-2020年变异系数最低为39.73%。 1971—2020年疏勒河流域年输沙量波动较大、分散程度较高。 （4）2000—2020年疏勒河流域景观指数结果差异较小，差异小于0.5。根据景观指数和水沙含量的主成分分析，最大斑块指数（LPI）与水沙含量的正相关性最强（0.958）。多样性指数SHDI与水和泥沙含量的负相关性最强（-0.995）。