Assessment of Soil and Water Loss in Changting County Based on RUSLE Model

FU Shuilong; LIANG Juanzhu; HUANG Luping

doi:10.13961/j.cnki.stbctb.2016.01.035

您当前的位置：

首页 >

文章列表页 >

Assessment of Soil and Water Loss in Changting County Based on RUSLE Model

- Assessment of Soil and Water Loss in Changting County Based on RUSLE Model
- Bulletin of Soiland Water Conservation Vol. 36, Issue 1, Pages: 196-200(2016)
- 作者机构：
  
  1. 福州大学空间数据挖掘与信息共享教育部重点实验室,福建,福州,350002
  2. 福建省空间信息工程研究中心,福建,福州,350002
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2016.01.035
  CLC：
- Published：2016
- 稿件说明：
移动端阅览
FU Shuilong, LIANG Juanzhu, HUANG Luping. Assessment of Soil and Water Loss in Changting County Based on RUSLE Model[J]. Bulletin of Soiland Water Conservation, 2016, 36(1): 196-200.
DOI：

FU Shuilong, LIANG Juanzhu, HUANG Luping. Assessment of Soil and Water Loss in Changting County Based on RUSLE Model[J]. Bulletin of Soiland Water Conservation, 2016, 36(1): 196-200. DOI： 10.13961/j.cnki.stbctb.2016.01.035.

摘要

[目的] 为中国南方红壤分布区RUSLE模型的本地化研究提供重要参考

同时为福建省长汀县水土流失防治及解决与此相关的其他问题提供科学的决策依据. [方法] 以修正的通用水土流失方程RUSLE (revised universal soil loss equation)为评估基础

以长汀县为试验研究区

在地理信息系统和遥感技术的支持下

通过研究新方法计算降雨侵蚀力因子、参数调校或利用现有方法计算其余因子完成研究区水土流失评估. [结果] 得到2013年长汀县水土流失等级分布图.2013年研究区水土流失已大有好转

但仍比较严重

主要为轻度和中度流失

其中河田镇、策武乡、濯田镇、三洲乡是重灾区. [结论] 尽量减少不合理的人类活动

有效提高植被覆盖率

是研究区今后水土流失防治的基本措施.

Abstract

[Objective] The objective of this study is to improve the RUSLE (revised universal soil loss equation) model for its using in the southern red soil area in order to provide scientific basis for soil erosion control in Changting County of Fujian Province. [Methods] Based on RUSLE model and combined with GIS and RS technologies

we assessed the soil and water loss in Changting County. The rainfall erosion factors were calculated by a new developed method. The remaining factors that were used in RUSLE model were derived by improving or using the existing methods. [Results] A map of soil erosion intensity grades distribution in 2013 was obtained by an empirical research. The results show that soil erosion in Changting County has been improved in 2013

but still serious. The dominated types of erosion were slight and moderate loss. The area most affected by soil erosion was Hetian

Cewu

Zhuotian and Sanzhou Township. [Conclusion] To reduce the human activities and increase the vegetation coverage are the main effective measures for erosion control in the future.

关键词

Keywords

references

Wischmeier W H, Smith D D. Predicting rainfall-erosion losses from cropland and east of the Rocky Mountains [M]. Washington D C: US Department of Agriculture, 1965.

陈云明,刘国彬,郑粉莉,等.RUSLE侵蚀模型的应用及进展[J].水土保持研究,2004,11(4):80-83.

Weesies G A, McCool D K, Yoder D C. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE)[M]. Washington, DC: United States Department of Agriculture, 1997.

黄炎和,卢程隆,郑添发,等.闽东南降雨侵蚀力指标

值的研究[J].水土保持学报,1992,6(4):1-5.

周伏建,陈明华,林福兴,等.福建省天然降雨雨滴特征的研究[J].水土保持学报,1995,9(1):8-12.

周伏建,陈明华,林福兴,等.福建省降雨侵蚀力指标

值[J].水土保持学报,1995,9(1):13-18.

吕喜玺,沈荣明.土壤可蚀性因子

值的初步研究[J].水土保持学报,1992,6(1):63-70.

方纲清,阮伏水,吴雄海,等. 福建省主要土壤可蚀性特征初探[J].福建水土保持,1997(2) :19-23.

曹龙熹,符素华.基于DEM的坡长计算方法比较分析[J].水土保持通报,2007,27(5):58-62.

Hickey R A, Smith P J. Slope length calculations from a DEM within ARC/INFO GRID[J]. Computors, Enviroment and Urban Systems, 1994,18(5):365-380.

陈明华,周伏建,黄炎和,等.坡度和坡长对土壤侵蚀的影响[J].水土保持学报,1995,9(1):31-36.

马超飞,马建文,布和敖斯尔.USLE模型中植被覆盖因子的遥感数据定量估算[J].水土保持通报,2001,21(4):6-9.

江洪.长汀县水土流失遥感监测及其生态安全评价[D].福州:福州大学,2005.

Choudhury B J, Ahmed N U, Idso S B, et al. Relations between evaporation coefficients and vegetation indices studied by model simulations[J]. Remote Sensing of Environment, 1994,50(1):1-17.

杨冉冉,徐涵秋,林娜,等.基于RUSLE的福建省长汀县河田盆地区土壤侵蚀定量研究[J].生态学报,2013,33(10):2974-2982.

黄金良,洪华生,张珞平,等.基于GIS和USLE的九龙江流域土壤侵蚀量预测研究[J].水土保持学报,2004,18(5):75-79.

戴清霞.基于GIS和遥感的长汀县水土流失动态监测[D].福州:福建师范大学,2006.

林惠花.典型区域土壤侵蚀的地理学分析:以福建长汀为例[D].福州:福建农林大学,2009.

王维明,陈明华,林敬兰,等.长汀县水土流失动态变化及防治对策研究[J].水土保持通报,2005,25(4):73-77.

Views

2536

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Study on β-diversity of Reconstructed Forest Community in Soil Erosion Area of Changting County, Fujian Province

Runoff and sediment yield characteristics of typical soil slopes in Xin’an River basin under different rainfall intensities and slope gradients

Soil erosion characteristics and assessment of their differences in typical regions of Fujian Province in 2024 based on CSLE model

Distribution of human-disturbed lands and its soil erosion characteristics in Pearl River basin from 2019 to 2024

Erosion characteristics and influencing factors of production roads in Ningxia under heavy rainstorm conditions

Related Author

Lin Qiang

Song Zhen

Sun Zelong

Ren Jijun

Yue Zhongshuai

Yuan Wei

Pu Jian

Li Jianming

Related Institution

Soil and Water Conservation Station of FuJian Province

Changsha General Survey of Natural Resources Center， China Geological Survey

Huangshan Observation and Research Station for Land-Water Resources

The Research Center of Soil and Water Conservation and Ecological Environment，Chinese;Academy of Sciences and Ministry of Education， State Key Laboratory of Soil and Water Conservation and;Desertification Control， Yangling

University of Chinese Academy of Sciences

⁰