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首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Spatial modeling of soil erosion potential in a tropical watershed of the Colombian Andes.
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Spatial modeling of soil erosion potential in a tropical watershed of the Colombian Andes.

机译：哥伦比亚安第斯山脉热带流域土壤侵蚀潜力的空间模拟。

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Soil erosion potential of a 58 km2 watershed in the coffee growing region of the Colombian Andes was assessed using the Revised Universal Soil Loss Equation (RUSLE) in a GIS environment. The RUSLE factors were developed from local rainfall, topographic, soil and land use data. Seasonal erosivity factors (R) were calculated for six pluviographic stations (1987-1997) located within 22 km of the basin. Two regression models, one for the wet and one for the dry seasons, were created and used to estimate seasonal erosivity for 10 additional stations with pluviometric data. Erosivity was on average higher in the wet seasons (4686 MJ mm ha-1 h-1 season-1) than the dry ones (2599 MJ mm ha-1 h-1 season-1). Seasonal erosivity surfaces were generated using the local polynomial interpolation method, and showed increases from west to east in accordance with regional elevation. Soil erodibility was calculated from field measurements of water stable aggregates (>2 mm) and infiltration, which were influenced by land use. Three erodibility scenarios were considered (high, average and low) to represent the variability in infiltration measurements within each land use. The topographic and land cover factors were developed from existing contour and land use data. Model results indicated that in the dry seasons, and under the average erodibility scenario, 534 ha (11%) of the basin's rural area were within the extreme erosion potential category (above 3.5 t ha-1 season-1). During the wet seasons, this area increased to 1348 ha (28%). In general, areas under forest and shrub had low erosion potential values, while those under coffee and pasture varied according to topography. Modelling of probable land use change scenarios indicated that the erosion potential of the basin would decrease as a result of coffee conversion to pasture..
机译：使用修订后的通用土壤流失方程（RUSLE）在GIS环境中评估了哥伦比亚安第斯山脉咖啡种植区58平方公里流域的土壤侵蚀潜力。 RUSLE因素是根据当地的降雨，地形，土壤和土地利用数据得出的。计算了距盆地22公里以内的六个冲积站（1987-1997）的季节性侵蚀因子（R）。创建了两个回归模型，一个用于潮湿季节，一个用于干旱季节，并利用测雨量数据来估计另外10个站点的季节性侵蚀力。湿季（4686 MJ mm ha-1 h-1 season-1）的平均侵蚀力比干季（2599 MJ mm ha-1 h-1 season-1）要高。使用局部多项式插值方法生成季节性侵蚀表面，并根据区域标高从西向东显示出增加的趋势。土壤可蚀性是根据水稳性团聚体（> 2 mm）和入渗的实地测量计算得出的，这些测量结果受到土地利用的影响。考虑了三种可侵蚀性情景（高，平均和低），以表示每种土地利用中渗透测量的可变性。地形和土地覆盖因子是根据现有的等高线和土地利用数据得出的。模型结果表明，在干旱季节和平均侵蚀情景下，流域农村地区有534公顷（11％）处于极度侵蚀潜力类别内（第1季3.5 t ha-1以上）。在雨季，该面积增加到1348公顷（28％）。通常，森林和灌木下的地区的潜在侵蚀价值较低，而咖啡和牧场下的地区则根据地形而变化。对可能的土地利用变化情景的建模表明，由于咖啡转化为牧场，流域的侵蚀潜力将降低。

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