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    基于RUSLE模型的土壤侵蚀时空变化及其影响因子以粤港澳大湾区为例

    Spatio-temporal variation of soil erosion and its influencing factors based on RUSLE modelA case study of Guangdong-Hong Kong-Macao Greater Bay Area

    • 摘要: 深入了解区域的土壤侵蚀时空演变特征,可为该地区水土保持的开展提供参考。使用修正的通用土壤流失方程模型,估算粤港澳大湾区2010和2020年的土壤侵蚀模数,探讨土壤侵蚀的时空变化特征及其影响因素。结果表明:1)粤港澳大湾区2010和2020年土壤侵蚀模数分别为13.24和8.74 t/(hm2·a),10 a间土壤侵蚀模数减少34%,土壤侵蚀呈好转趋势。2)大湾区的土壤侵蚀呈现中部侵蚀强度低、周围地区侵蚀剧烈的空间特征。2010—2020年大湾区土壤侵蚀强度等级较为稳定,88.2%的地区未出现侵蚀强度等级变化。土壤侵蚀加剧的区域主要集中在大湾区北部、西南部及东部沿海区域。3)土壤侵蚀模数随海拔的增加先降低再升高,海拔 > 1000 m的地区侵蚀模数最大;坡度越陡,侵蚀强度越大;草地和耕地是土壤侵蚀严重的区域,侵蚀模数分别为13.96和13.43 t/(hm2·a)。研究表明,大湾区的土壤侵蚀治理措施较为有效,未来需要进一步关注陡坡、高海拔、草地及耕地等区域的土壤侵蚀防治。

       

      Abstract:
      Background Soil erosion causes a serious threat to agricultural production and ecosystems. As one of China’s fastest growing urban agglomerations, the Guangdong-Hong Kong-Macao Greater Bay Area (the GBA) has experienced serious soil erosion and significant reduction in land resources in recent years with the expansion of urban land. A deep understanding of the spatial and temporal variation of regional soil erosion may provide theoretical support for the rational development of ecological protection, and soil and water conservation.
      Methods Supported by normalized difference vegetation index (NDVI), precipitation data, land cover products and digital elevation model (DEM), the soil erosion modulus in the GBA in 2010 and 2020 were calculated based on the Revised Universal Soil Loss Equation (RUSLE) model. Localization and modification of the calculation method for each factor have been conducted to obtain accurate soil erosion results in 2010 and 2020. Spatio-temporal variation of soil erosion were analyzed by layer overlay and change matrix, and the relationship between soil erosion and elevation, slope gradient, land use type were explored by statistical analysis.
      Results 1) The soil erosion modulus of the GBA in 2010 and 2020 were 13.24 and 8.74 t/(hm2·a), respectively, showing a notably decreasing trend with a percentage of 34% in recent 10 years. The soil erosion intensity in 2020 showed a continuous increasing trend in slight and light erosion, and soil erosion showed an improving trend. 2) Soil erosion in the GBA demonstrated spatial characteristics of low erosion intensity in the central region, and severe erosion in the surrounding areas. From 2010 to 2020, the soil erosion intensity in the GBA was relatively stable, with 88.2% of the areas showing no changes in erosion intensity. The areas with worse soil erosion were mainly concentrated in the northern, southwestern and eastern coastal areas of the GBA. 3) Soil erosion modulus firstly decreased and then increased with the increase of elevation, and the most severe soil erosion occurred in areas with altitudes greater than 1000 m. The steeper the slope, the greater the erosion intensity. Grass land and cultivated land were severely eroded land use types, with soil erosion modulus of 13.96 and 13.43 t/(hm2·a), respectively.
      Conclusions Long-term control measures to soil erosion in the GBA have been effective in the past decade, and further attention needs to be paid to the soil erosion prevention and control in areas with steep slope, high elevation, grass land and cultivated land.

       

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