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      基于GIS与RUSLE的黄河流域河南段土壤侵蚀因子交互研究

      Study on soil erosion factors interaction of Yellow River Basin Henan section based on GIS and RUSLE

      • 摘要: 针对USLE/RUSLE模型演算土壤侵蚀量研究中缺少对模型中各因子重要性评估的问题,以黄河流域河南段为对象进行分析。以2000~2015年月度遥感数据为主要数据源,综合降雨、坡度、高程、植被覆盖、水保措施因子,基于RUSLE模型计算土壤侵蚀模数,并利用地理探测器量化了土壤侵蚀主要影响力因子的贡献。结果表明:① 2000~2015年研究区平均土壤侵蚀模数为852.85 t/(km2·a),主要以微度、轻度侵蚀为主。三门峡市、洛阳市、郑州市土壤侵蚀等级明显高于焦作市、济源市、新乡市、开封市、濮阳市。②地理探测器显示,坡度对土壤侵蚀影响力最大,坡度越大土壤侵蚀越严重,各因子影响力大小为坡度>水保措施>高程>降雨>植被覆盖。③ 2000~2015年,坡度影响力因子一直处于主导地位,高坡度区域(>15°)的土壤侵蚀强度显著升高,尤其在25°以上的区域,侵蚀模数呈指数增长。植被覆盖因子小于0.35时,土壤侵蚀模数达到最大;降雨、高程、坡度对于土壤侵蚀影响力表现形式相同,降雨越高、高程、坡度越大土壤侵蚀模数越高。水保措施因子为1时土壤侵蚀达到最大;水保措施因子为0~0.14时,基本不发生侵蚀。④坡度与植被覆盖(地理探测器q=0.63)、坡度与降雨(q=0.61)、坡度与水土保持措施(q=0.63)交互作用显著,表明土壤侵蚀受多因子共同驱动。在陡坡区,仅依靠植被恢复可能不足,需要结合工程措施进行综合治理。研究成果可为水土保持、退耕还林、坡面绿化等流域生态保护提供参考。

         

        Abstract: Addressing the issue of lacking evaluation of the factors importance by USLE/RUSLE model for calculating soil erosion, this study conducted an analysis focusing on the Henan section of Yellow River Basin.Monthly remotely sensed data from 2000 to 2015, combined with factors such as rainfall, slope, elevation, vegetation coverage, soil and water conservation measures factors, were selected as data sources.Soil erosion modulus was calculated based on RUSLE model, and the contributions of the main influencing factors of soil erosion were quantitatively analyzed using Geo-detector.The research results show that: The average soil erosion modulus in the study area from 2000 to 2015 was 852.85 t/(km2·a), and the dominant erosion level is mainly slight and mild.Sanmenxia, Luoyang and Zhengzhou cities have significantly higher soil erosion levels than Jiaozuo, Jiyuan, Xinxiang, Kaifeng and Puyang. The GIS geo-detector analysis results show that slope has the greatest influence on soil erosion, and the steeper the slope, the more severe the soil erosion.The order of influence of each factor was as follows: slope > soil and water conservation measures > elevation > rainfall > vegetation coverage.From 2000 to 2015, the slope influencing factor has been dominant.The soil erosion intensity in high slope areas (>15°) has increased significantly, especially in areas above 25°, where the erosion modulus has increased exponentially.When the vegetation coverage factor is less than 0.35, the soil erosion modulus reaches the maximum, and the rainfall factor, elevation, and slope have also showed a positive influence on soil erosion.The higher the rainfall factor, the higher the elevation, and the steeper the slope, the higher the soil erosion modulus.Soil erosion reaches the maximum when the soil and water conservation measure factor is 1.When the soil and water conservation measure factor is between 0 and 0.14, erosion basically does not occur.There are significant interactions between slope and vegetation coverage (geo-detector q=0.63), slope and rainfall (q=0.61), and slope and soil and water conservation measures (q=0.63), indicating that soil erosion is driven by multiple factors.In steep slope areas, vegetation restoration alone may not be enough, and comprehensive management needs to be combined with engineering measures.The results of the study can provide technical support and decision-making basis for ecological conservation in the Yellow River Basin, such as soil and water conservation, reforestation and slope greening.The dominant and interacting factors in the study area can provide scientific basis for the optimization of regional model parameters for subsequent scholars.

         

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