首页|基于RUSLE模型浙江省水土流失风险空间分析与评价研究

基于RUSLE模型浙江省水土流失风险空间分析与评价研究

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基于地理信息科学和遥感技术,从异源数据集里提取浙江省降雨侵蚀力、坡长坡度、土壤可蚀性、植被与水土保持措施的水土流失环境参数,结合RUSLE模型定量评价该地水土流失模数及其风险特征.结果表明,浙江省水土流失平均模数为385.4 t/(km2·a),属微度流失强度.水土流失风险以高风险为主,占省域面积的47.74%;中风险、低风险、无风险等级的面积依次占22.65%、11.18%、18.42%.各地水土流失模数分布不均,以宁波、台州地区的水土流失强度最高、风险最大.该成果可为浙江省水土保持工作提供科学依据和决策支持.
Study on Spatial Analysis and Evaluation of Soil Erosion Risk in Zhejiang Province by Applying RUSLE Model
Based on geographic information science and remote sensing technology,this study extracted five environmental parameters of soil erosion in Zhejiang Province,including rainfall erosion force,slope length and slope gradient,soil erodibility,vegetation and soil conservation measures from heterogeneous source data sets,and quantitatively evaluated the soil erosion modulus and its risk characteristics in combination with RUSLE model.The results show that the average soil erosion modulus in Zhejiang Province is 385.4 t-km2-a,which is of medium erosion intensity.The risk of soil erosion is mainly high risk,accounting for 47.74%of the provincial area;the areas with medium risk,low risk and no risk grades account for 22.65%,11.18%and 18.42%in turn.Soil erosion modalities are unevenly distributed in each area,with Ningbo and Taizhou areas having the highest intensity and risk of soil erosion.The results can provide scientific basis and decision support for soil and water conservation work in Zhejiang Province.

soil erosionriskRUSLE modelZhejiang Province

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杭州美丽洲建设有限公司,浙江杭州 311199

水土流失 风险 RUSLE模型 浙江省

2024

陕西水利
陕西省城乡供水管理办公室

陕西水利

影响因子:0.185
ISSN:1673-9000
年,卷(期):2024.(4)
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