首页> 外文期刊>Proceedings of the International Association of Hydrological Sciences >A GIS-based estimation of soil erosion parameters for soil loss potential and erosion hazard in the city of Kinshasa, the Democratic Republic of Congo
【24h】

A GIS-based estimation of soil erosion parameters for soil loss potential and erosion hazard in the city of Kinshasa, the Democratic Republic of Congo

机译:基于GIS的刚果民主共和国金沙萨市土壤侵蚀参数对土壤流失潜力和侵蚀危害的估计

获取原文
           

摘要

Soil erosion has detrimental impacts on socio economic life, thus increasing poverty. This situation is aggravated by poor planning and lack of infrastructure especially in developing countries. In these countries, efforts to planning are challenged by lack of data. Alternative approaches that use remote sensing and geographical information systems are therefore needed to provide decision makers with the so much needed information for planning purposes. This helps to curb the detrimental impacts of soil erosion, mostly emanating from varied land use conditions. This study was carried out in the city of Kinshasa, the Democratic Republic of Congo with the aim of using alternative sources of data, based on earth observation resources, to determine the spatial distribution of soil loss and erosion hazard in the city of Kinshasa. A combined approach based on remote sensing skills and rational equation of soil erosion estimation was used. Soil erosion factors, including rainfall-runoff erosivity R), soil erodibility (K), slope steepness and length (SL), crop/vegetation and management (C) were calculated for the city of Kinshasa. Results show that soil loss in Kinshasa ranges from 0 to 20 t hasup?1/sup yrsup?1/sup. Most of the south part of the urban area were prone to erosion. From the total area of Kinshasa (996 500 ha), 25 013 ha (2.3 %) is of very high (? 15 t hasup?1/sup yrsup?1/sup) risk of soil erosion. Urban areas consist of 4.3 % of the area with very high (? 15 t hasup?1/sup yrsup?1/sup) risk of soil erosion compared to a very high risk of 2.3 % (? 15 t hasup?1/sup yrsup?1/sup) in the rural area. The study shows that the soil loss in the study area is mostly driven by slope, elevation, and informal settlements.
机译:水土流失对社会经济生活产生不利影响,从而加剧了贫困。规划欠佳和基础设施不足,尤其是在发展中国家,使这种情况更加恶化。在这些国家,缺乏数据对规划工作提出了挑战。因此,需要使用遥感和地理信息系统的替代方法,以便为决策者提供用于规划目的的大量信息。这有助于抑制土壤侵蚀的有害影响,这种影响主要来自土地使用条件的变化。这项研究是在刚果民主共和国金沙萨市进行的,目的是使用基于地球观测资源的替代数据源,确定金沙萨市土壤流失和侵蚀危害的空间分布。采用了基于遥感技术和水土流失估算有理方程的组合方法。计算了金沙萨市的土壤侵蚀因子,包括降雨径流侵蚀力R),土壤侵蚀性(K),坡度和长度(SL),作物/植被与管理(C)。结果表明,金沙萨的土壤流失量为0〜20 t ha ?1 yr ?1 。市区的南部大部分地区容易受到侵蚀。在金沙萨(996 500公顷)总面积中,25 013公顷(2.3%)的风险很高(?> 15 t ha ?1 yr ?1 )水土流失。市区面积占水土流失风险极高(?> 15 t ha ?1 yr ?1 )面积的4.3%,而极高的风险为2.3 %(?> 15 t ha ?1 yr ?1 )在农村地区。研究表明,研究区的土壤流失主要是由坡度,海拔和非正式住区驱动的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号