首页> 外文期刊>Interciencia >ASSESSMENT OF EROSION HAZARD IN TORRES MUNICIPALITY OF LARA STATE (VENEZUELA) BASED ON GIS
【24h】

ASSESSMENT OF EROSION HAZARD IN TORRES MUNICIPALITY OF LARA STATE (VENEZUELA) BASED ON GIS

机译:基于GIS的拉美国家(委内瑞拉)托雷斯市的侵蚀危害评估。

获取原文
获取原文并翻译 | 示例
       

摘要

The Revised Universal Soil Loss Equation (RUSLE) model was used to predict soil erosion hazard in the Torres municipality, Lara, Venezuela. Rainfall-runoff erosivity (R) values indicated low erosion potential. The soils have moderately low to high erodability (K), it being larger in the agricultural zone. The values of the LS factor are relatively low, since the study area is mainly morphologically flat. Cell-by-cell multiplication of the maps of R, K and LS factors resulted in a map of potential erosion. A similar procedure, adding the factors crop and management (C), and conservation practices (P) was used to estimate actual erosion. The smallest actual erosion values of soil losses were registered in forest zones and where agricultural practices are carried out. Actual ero-rnsion had a range of 0-2558t·ha~(-1) per year, but more than 72% of the area is under very low water erosion hazard, and is highly suitable to rain fed agriculture. Areas susceptible of erosion with a soil loss >12t·ha~(-1) per year are found primarily in the higher basin, or where there is sparse cover. The percentage of high sustainability for agricultural purpose amounted to 100% in the agricultural area. In accordance, the zone can be used continuously with annual mechanized cultivations without conservation practices. The results support that the RUSLE under GIS environment, coupled with digital elevation model (DEM) data and remote sensing, are powerful tools for both qualitative and quantitative assessment of soil erosion in a hydrographical basin.
机译:修订后的通用土壤流失方程(RUSLE)模型用于预测委内瑞拉拉拉的托雷斯市的土壤侵蚀危害。降雨径流侵蚀率(R)值表明侵蚀潜力低。土壤具有中等的低至高侵蚀性(K),在农业区则更大。 LS因子的值相对较低,因为研究区域的形态主要是平坦的。 R,K和LS因子图的逐个细胞相乘产生了潜在侵蚀的图。使用类似的程序,加上作物和管理因素(C)和保护措施(P)来估算实际侵蚀。在森林地区和进行农业实践的地区,土壤损失的实际侵蚀值最小。每年的实际侵蚀范围为0-2558t·ha〜(-1),但该地区超过72%的水蚀危害非常低,非常适合雨育农业。每年易遭受水土流失> 12t·ha〜(-1)侵蚀的地区主要分布在较高的盆地或覆盖稀疏的地区。用于农业目的的高度可持续性的百分比在农业领域达到100%。因此,该区域可以与年度机械化种植连续使用,而无需采取保护措施。结果表明,GIS环境下的RUSLE结合数字高程模型(DEM)数据和遥感技术,是对流域水土流失进行定性和定量评估的强大工具。

著录项

  • 来源
    《Interciencia》 |2010年第5期|P.348-356|共9页
  • 作者单位

    Universidad Centroccidental Lisandro Alvarado, Venezuela, Universidad Central de Venezuela, Georg-August University, Goettingen, Germany, Researcher, Instituto de Investigaciones Agrfcolas (INIA-Yaracuy), Venezuela Estacion Local Yaritagua, Km 3 via El Rodeo, Yaritagua, Edo. Yaracuy, Apartado Postal N° 177;

    rnCologne University Geology and Geography, Mannheim University, Germany, Goettingen University, Germany;

    rnGoettingen University, Germany, Goettingen University, Germany;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    erosion hazard; GIS; RUSLE; suitability ratings; venezuela;

    机译:侵蚀危害;地理信息系统RUSLE;适用性等级;委内瑞拉;
  • 入库时间 2022-08-17 13:08:09

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