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东北典型薄层黑土区土壤可蚀性模型适用性分析

王彬 郑粉莉 王玉玺

农业工程学报2012,Vol.28Issue(6):126-131,6.
农业工程学报2012,Vol.28Issue(6):126-131,6.DOI:10.3969/j.issn.1002-6819.2012.06.021

东北典型薄层黑土区土壤可蚀性模型适用性分析

Adaptability analysis on soil erodibility models in typical thin layer black soil area of Northeast China

王彬 1郑粉莉 2王玉玺1

作者信息

  • 1. 西北农林科技大学资源环境学院,杨凌712100
  • 2. 中国科学院水利部水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室,杨凌712100
  • 折叠

摘要

Abstract

Soil erodibility is a crucial parameter in soil erosion prediction and evaluation on environmental effects. The typical eroded black soil area of Northeast China, the Binzhou River Basin, was taken as the research area. In order to evaluate the applicability of each K value calculating method in the typical eroded black soil area, the very fine sand content transform model (VFS model) in RUSLE2 (revised universal soil loss equation) was calibrated, and differences among K value calculating methods of EPIC (erosion productivity impact calculator), USLE (universal soil loss equation) and RUSLE2 were discussed respectively. Results showed that the VFS model in RUSLE2 underestimated 22.5% of the very fine sand content, compared to the observed value. Therefore, a revised VFS model was built based on the measured data, and the accuracy of very fine sand content which was calculated by the model improved by 95%. Furthermore, RULSE2 was the most appropriate method for K value calculation, in the typical eroded black soil area. EPIC and USLE models overestimated the K value, but they can still be applied in the typical thin layer black soil region when they were calibrated by the revised K value estimators. The results provides scientific basis to support soil erosion quantification and soil quality risk assessment in the typical thin layer black soil region and similar areas.

关键词

土壤//模型/可蚀性/极细砂粒/含量/K值估算/东北黑土区

Key words

soils/ sand/ models/ erodibility/ very fine sand/ contents/ K value calculating method/ black soil region of Northeast China

分类

农业科技

引用本文复制引用

王彬,郑粉莉,王玉玺..东北典型薄层黑土区土壤可蚀性模型适用性分析[J].农业工程学报,2012,28(6):126-131,6.

基金项目

国家自然基金项目(40871137) (40871137)

国家重点基础研究发展计划(973)项目(2007CB407201)和中法合作项目(PFCC 2009-20919ZC). (973)

农业工程学报

OA北大核心CSCDCSTPCD

1002-6819

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