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Evaluation of RUSLE 2 to Estimate Soil Loss from Pastures.

机译:对第二次评估的评估,以估算牧场的土壤流失。

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摘要

The accurate estimation of soil erosion by the Revised Universal Soil Loss Equation version 2 (RUSLE2) is critical for several conservation assessments, least of which is its use in the Phosphorus Index (PI) to identify and rank the vulnerability of agricultural fields to phosphorus (P) runoff. Earlier versions of RUSLE reported a soil loss overestimation, which were revised to give RUSLE2, where biomass production in different climatic regions was more accurately represented. RUSLE version 2.0, which contains the new vegetative biomass production routine, was evaluated using two performance indices, the Nash Sutcliffe Efficiency Index (NSE) and Index of Agreement (D) across 27 cattle grazed fields in Southeastern U.S. An overall NSE of -0.164 and D of 0.242, indicated RUSLE2 poorly predicts soil loss for this region. Further investigation was needed to understand the reason for these poor soil loss estimates by RUSLE2. RUSLE2 estimates of soil loss are based on Hortion overflow sediment delivery from daily storm events accrued to an annual soil loss along a given field slope. Compared with measured sediment delivery from seven tall fescues (Festuca arundinacea) fields in northwest Arkansas over five years, with various manure and grazing management, sediment delivery estimated by RUSLE2 was acceptable, with log NSE (1.4). However, RUSLE2 over-predicted the number of storm events between 2009 - 2013 for all seven fields, from field collected rainfall- intensity data which created the localized 5- years erosivity values. Over-prediction on the number of storm events would lead to an increase in annual soil loss estimate. A need for a lower restrictive rainfall threshold value that does not initiate field runoff, and in turn, sediment delivery, particularly in grassland system, needs to be incorporated into RUSLE2 soil loss estimates.
机译:经修订的通用土壤流失方程第2版(RUSLE2)对土壤侵蚀的准确估算对于几种保护性评估至关重要,其中至少一项是在磷指数(PI)中用于识别和分级农田对磷的脆弱性( P)径流。早期版本的RUSLE报告了土壤流失高估,将其修改为RUSLE2,可以更准确地表示不同气候区域的生物量生产。 RUSLE版本2.0(包含新的植物性生物量生产程序)已通过两个性能指标进行了评估:纳什萨特克利夫效率指数(NSE)和协议指数(D),涵盖美国东南部27个放牧牛场的总NSE为-0.164, D为0.242,表明RUSLE2无法很好地预测该地区的土壤流失。需要进一步的调查,以了解RUSLE2估算的这些土壤流失不佳的原因。 RUSLE2估算的土壤流失是基于在给定的田间坡度上,由于每年的暴风雨事件而产生的Hortion溢流沉积物输送量,该累积量是每年的土壤流失量。与五年来从阿肯色州西北部七个高羊茅(Festuca arundinacea)田的测得的泥沙输送相比,在五年内,采用不同的肥料和放牧管理,RUSLE2估计的泥沙输送是可以接受的,对数NSE(1.4)。但是,RUSLE2根据实地收集的降雨强度数据高估了2009年至2013年所有7个田地的暴风雨事件数量,这些数据创建了局部5年侵蚀力值。对风暴事件数量的过度预测将导致每年的土壤流失估计增加。需要一个较低的限制性降雨阈值,该阈值不能引起田间径流,进而需要将泥沙输送量,特别是在草地系统中的泥沙输送量,纳入RUSLE2土壤流失估算中。

著录项

  • 作者

    Balkissoon, Stasha Katrina.;

  • 作者单位

    University of Arkansas.;

  • 授予单位 University of Arkansas.;
  • 学科 Environmental science.
  • 学位 M.S.
  • 年度 2016
  • 页码 103 p.
  • 总页数 103
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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