Due to the drop in water levels during the monsoon season, the soil particles of the exposed riverbed of Zhuoshui River are easily suspended in the air, causing serious river dust problems and endangering the quality of life and health of local residents. Exposed riverbed is the main source of dust, and it affects PM₁₀ concentration in air quality monitoring stations. In addition to meteorological conditions, the moisture content of the source dust is also an important factor. This study used satellite images from the lower river section (Bridge Ziqiang to Bridge Xibin) to extract the exposed riverbed, used the cluster analysis based on normalized difference water index (NDWI) to further classify the bare land into three categories, and then combined with meteorological factors to construct multi-regression models of PM₁₀ (PM₁₀ = 45.89W + 18.44T − 373.85; R² = 0.64, p < 0.001 and PM₁₀ = 21.80T + 39.70W + 37.2M₂ − 646.25; R² = 0.74, p < 0.001; W, wind speed; T, air temperature; M₂, bare land with medium NDWI). The results showed that the meteorological factor interpretation rate was about 64%, and if the index of bare land with medium NDWI was included, the model interpretation rate could be increased to 74%, hence the M₂ factor had a high influence on the PM₁₀ concentration.

由于季风季节水位下降，,水河裸露河床的土壤颗粒很容易悬浮在空气中，造成严重的河道扬尘问题，危及当地居民的生活质量和健康。裸露的河床是粉尘的主要来源，它会影响PM ₁₀集中在空气质量监测站。除气象条件外，源粉尘的水分含量也是重要因素。本研究使用下游河段（自强大桥至西宾大桥）的卫星图像提取裸露的河床，并基于归一化差水指数（NDWI）进行聚类分析，将裸地进一步分为三类，然后与气象因素构建PM的多回归模型₁₀（PM ₁₀ = 45.89W + 18.44T - 373.85; R ² = 0.64，p <0.001和PM ₁₀ = 21.80T + 39.70W + 37.2M ₂ - 646.25; R ² = 0.74，页<0.001；W，风速；T，空气温度；M ₂，中度NDWI的裸露土地）。结果表明，气象因子解释率约为64％，如果包括中等NDWI的裸地指数，则模型解释率可以提高到74％，因此M ₂因子对PM的影响很大。₁₀浓度。