陕西省耕地土壤可蚀性因子

张鹏宇; 王全九; 周蓓蓓

doi:10.13961/j.cnki.stbctb.2016.05.025

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陕西省耕地土壤可蚀性因子

试验研究

- 陕西省耕地土壤可蚀性因子
- Cultivated Soil Erodibility in Shaanxi Province
- 水土保持通报 2016年36卷第5期页码：100-106
- 作者机构：
  
  1. 西安理工大学水利水电学院,陕西,西安,710048
  2. 天津市碧波环境资源开发有限公司,天津,300170
  3. 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, 陕西杨凌,712100
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“黄土坡地土壤养分随地表径流流失动力机制与模拟模型”（51239009）
- DOI：10.13961/j.cnki.stbctb.2016.05.025
  中图分类号：
- 纸质出版：2016
- 稿件说明：
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张鹏宇, 王全九, 周蓓蓓. 陕西省耕地土壤可蚀性因子[J]. 水土保持通报, 2016,36(5):100-106.

ZHANG Pengyu, WANG Quanjiu, ZHOU Beibei. Cultivated Soil Erodibility in Shaanxi Province[J]. Bulletin of Soiland Water Conservation, 2016, 36(5): 100-106.
张鹏宇, 王全九, 周蓓蓓. 陕西省耕地土壤可蚀性因子[J]. 水土保持通报, 2016,36(5):100-106. DOI： 10.13961/j.cnki.stbctb.2016.05.025.

ZHANG Pengyu, WANG Quanjiu, ZHOU Beibei. Cultivated Soil Erodibility in Shaanxi Province[J]. Bulletin of Soiland Water Conservation, 2016, 36(5): 100-106. DOI： 10.13961/j.cnki.stbctb.2016.05.025.

摘要

[目的

]

土壤可蚀性因子是计算土壤侵蚀的一个重要因子，对陕西省耕地土壤可蚀性因子展开研究，可为陕西地区的耕地土壤侵蚀计算及评价提供科学依据。[方法

]

以陕西省9个地区的耕地土壤实测数据为基础，利用通用土壤流失方程USLE（universal soil loss equation）、修订土壤流失方程RUSLE2（revised universal soil loss equation version 2）、侵蚀生产力影响模型EPIC（erosion productivity impact calculator）中可蚀性因子K值的计算公式以及几何平均粒径公式和几何平均粒径-有机质Dg-OM公式，计算不同耕地土壤质地条件下的土壤可蚀性因子。[结果

]

RUSLE2的极细砂粒转换公式在陕西黄土丘陵沟壑区平均低约14.53%，在陕南地区平均高约32.91%，使用修正公式后平均误差分别为7.81%和13.14%；对比分析K值的估算值与实测值，子洲县实测K值为0.002 69[（t·hm

·h）/（hm

·MJ·mm）

]

，Dg-OM模拟计算均值为0.0297[（t·hm

·h）/（hm

·MJ·mm）

]

；水蚀预报模型WEPP（water erosion prediction project）中的细沟间可蚀性（K

）和细沟可蚀性（K

），与USLE的K值相关系数分别为0.738 6和0.607 4。[结论

]

极细砂粒转换修正公式的计算误差小于RUSLE2模型；Dg-OM模型适合陕西黄土丘陵沟壑区及长武县、杨凌区和安康市典型耕地土壤；WEPP中K

和K

，当土壤砂粒含量小于30%，USLE的K值与WEPP的K

和K

值有强相关性。

Abstract

[Objective] Soil erodibility is a key factor of calculating the soil erosion

and the investigation of cultivated soil erodibility provide the scientific basic to calculate and evaluate soil erosion in Shaanxi Province.[Methods] The soil data was from nine experimental plots that distributed in Shaanxi Province of China. To calculate soil erodibility of these areas

we utilized five commonly used models

which are universal soil loss equation(USLE)

revised universal soil loss equation version 2(RUSLE2)

Erosion productivity impact calculator(EPIC)

geometric mean diameter(Dg) and geometric mean diameter-organic matter(Dg-OM).[Results] The equation of very fine sand(VFS) in RUSLE2 underestimated 14.53% of VFS content in hilly area of Losses Plateau of Shaanxi Province and overestimated 32.91% of VFS content in the Southern Shaanxi Province. Based on the measured values

the revised equation reduced the average calculation error of VFS content to 7.81% and 13.14% respectively. Secondly

comparison of K values

the measured K value in Zizhou County is 0.002 69[(t·hm2·h)/(hm2·MJ·mm)]

the mean K value of Dg-OM model is 0.029 7[(t·hm2·h)/(hm2·MJ·mm)]. Thirdly

the interrill erodibility(Ki) and rill erodibility(Kr) parameters in water erosion prediction project model(WEPP) were calculated and the correlation of erodibility parameter between Ki

Kr and K of USLE were 0.738 6 and 0.607 4.[Conclusion] The average calculation error of revised equation of very fine sand is less than the equation of very fine sand in RUSLE2. Dg-OM model was suitable for calculation the soil erodibility in hilly area of Losses Plateau of Shaanxi Province and the area of Changwu County

Yangling District and Ankang City. Moreover

Ki and Kr parameters in WEPP was found the good correlation of erodibility parameter between USLE and WEPP model when the sand content was less than 30%.

关键词

Keywords

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