Modelling, quantification and estimation of the soil water erosion using the Revised Universal Soil Loss Equation with Sediment Delivery Ratio and the analytic hierarchy process models

IF 2.8 3区 地球科学 Q2 GEOGRAPHY, PHYSICAL Earth Surface Processes and Landforms Pub Date : 2024-05-26 DOI:10.1002/esp.5882
Belhaj Fatima, Hlila Rachid, El Kadiri Khalil, Ouallali Abdessalam, Belkendil Abdeldjalil, Beroho Mohamed, Aqil Tariq, J. Davis Brian, Walid Soufan
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Abstract

This research used the Revised Universal Soil Loss Equation (RUSLE) with Sediment Delivery Ratio (SDR) model. The analytic hierarchy process (AHP) method, while also incorporating the use of a geographic information system (GIS) and remote sensing (RS) to predict the annual soil loss rate and spatialise the processes of water erosion at the scale of the Loukkos Watershed, Morocco. The RUSLE model and AHP parameters were estimated using RS data, and the erosion vulnerability zones were determined using GIS. We used five parameters, including precipitation erosivity, soil erodibility, slope length and steepness, vegetation cover, and soil erosion control practices in the RUSLE. For the AHP technique, we used seven geo-environmental factors, including annual average precipitation, drainage density, lineament density, slope, soil texture, land use/land cover and landform maps. The results of RUSLE indicated that the average annual soil loss varied from 0 to 2388.27  t · ha 1 · year 1 . The total estimated annual potential soil loss was approximately 40 790 220.11  t · ha 1 · year 1 , and a sediment yield estimated by RUSLE-SDR was 8 647 526.66  t · ha 1 · year 1 , equivalent to 6.65 Mm3. This value is very close to the measured value of 6.81 Mm3, for a difference of 0.16 Mm3. Furthermore, the results of the AHP indicate that the soil erosion potential index varies from 0 to 0.205315  t · ha 1 · year 1 . Overall, nearly 13.7% of the area suffered from severe soil erosion exceeding 50  t · ha 1 · year 1 . Approximately 80% of the Loukkos Watershed area experienced only slight erosion, while the remaining 6% incurred moderate erosion. Integrating GIS and RS into the RUSLE model and AHP helped us robustly estimate the extent and degree of erosion risk. Territorial decision-makers should adopt our results to develop soil conservation strategies, water management plans and other necessary soil and water conservation measures for this region.

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利用含泥沙输送比的修订通用土壤流失方程和层次分析法模型对土壤水侵蚀进行建模、量化和估算
本研究采用了修订的通用土壤流失方程(RUSLE)和沉积物输送比(SDR)模型。分析层次过程 (AHP) 方法,同时还结合使用地理信息系统 (GIS) 和遥感 (RS),以预测每年的土壤流失率,并将摩洛哥 Loukkos 流域的水侵蚀过程空间化。利用 RS 数据估算了 RUSLE 模型和 AHP 参数,并利用地理信息系统确定了水土流失脆弱区。我们在 RUSLE 模型中使用了五个参数,包括降水侵蚀率、土壤可侵蚀性、坡长和坡度、植被覆盖率和土壤侵蚀控制措施。在 AHP 技术中,我们使用了七个地理环境因子,包括年平均降水量、排水密度、线状密度、坡度、土壤质地、土地利用/土地覆盖和地貌图。RUSLE 结果表明,年平均土壤流失量从 0 到 2388.27 不等。RUSLE-SDR 估计的年潜在土壤流失总量约为 40 790 220.11,泥沙产量为 8 647 526.66,相当于 6.65 立方米。该值与测量值 6.81 百万立方米非常接近,相差 0.16 百万立方米。此外,AHP 的结果表明,土壤侵蚀潜力指数在 0 到 0.2053 之间15 。总体而言,近 13.7% 的地区水土流失严重程度超过 50。约 80% 的卢克科斯流域仅遭受轻微侵蚀,其余 6% 遭受中度侵蚀。将 GIS 和 RS 整合到 RUSLE 模型和 AHP 中有助于我们稳健地估算水土流失风险的范围和程度。领土决策者应采纳我们的结果,为该地区制定水土保持战略、水资源管理计划和其他必要的水土保持措施。
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来源期刊
Earth Surface Processes and Landforms
Earth Surface Processes and Landforms 地学-地球科学综合
CiteScore
6.40
自引率
12.10%
发文量
215
审稿时长
4 months
期刊介绍: Earth Surface Processes and Landforms is an interdisciplinary international journal concerned with: the interactions between surface processes and landforms and landscapes; that lead to physical, chemical and biological changes; and which in turn create; current landscapes and the geological record of past landscapes. Its focus is core to both physical geographical and geological communities, and also the wider geosciences
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