基于RUSLE模型的土壤侵蚀时空分异特征分析——以辽宁省朝阳市为例

doi:10.13249/j.cnki.sgs.2015.03.365

地理科学 ›› 2015, Vol. 35 ›› Issue (3): 365-372.doi: 10.13249/j.cnki.sgs.2015.03.365

基于RUSLE模型的土壤侵蚀时空分异特征分析——以辽宁省朝阳市为例

怡凯^1,2, 王诗阳¹, 王雪¹, 姚洪莉¹

1. 辽宁师范大学自然地理与空间信息科学辽宁省重点实验室, 辽宁大连116029;
2. 辽宁工程技术大学测绘与地理科学学院, 辽宁阜新123000

收稿日期:2014-03-16 修回日期:2014-06-19 出版日期:2015-03-20 发布日期:2015-03-20
通讯作者: 王诗阳,E-mail:1362357846@qq.com E-mail:1362357846@qq.com
作者简介:怡凯(1981-),男,陕西泾阳人,博士研究生,讲师,主要从事区域分析与规划、城市人居环境与地理信息系统应用。E-mail:Yikai.lntu@gmail.com
基金资助:
国家自然科学基金项目(41171137)、2013 年国家级大学生创新创业训练计划项目(201310165001)、辽宁省创新团队项目(wt2011002)资助。

The Characteristics of Spatial-temporal Differentiation of Soil Erosion Based on RUSLE Model: A Case Study of Chaoyang City, Liaoning Province

YI Kai^1,2, WANG Shi-yang¹, WANG Xue¹, YAO Hong-li¹

1. Liaoning Key Laboratory of Physical Geography and Geomatics, Liaoning Normal University, Dalian, Liaoning 116029, China;
2. School of Geomatics, LNTU, Fuxin, Liaoning 123000, China

Received:2014-03-16 Revised:2014-06-19 Online:2015-03-20 Published:2015-03-20

摘要/Abstract

摘要：

以数字高程模型(DEM)、降雨量、土壤、遥感影像等为基础数据,运用GIS与遥感技术,结合RUSLE模型研究辽宁省朝阳市2001~2010 年的土壤侵蚀时空分异特征。研究结果如下:① 2001~2010 年土壤侵蚀模数总体呈下降趋势,其中2009 年的平均土壤侵蚀模数为254.02 t·hm^-2·a^-1,为10 a 间最低值;② 微度土壤侵蚀面积总体呈上升趋势,但以上2 个指标在2010 年均出现了不同程度的反弹;③ 朝阳县是土壤侵蚀最严重的地区,土壤侵蚀模数的平均值最高,为747.33 t·hm^-2·a^-1,中度以上土壤侵蚀面积分别为29.2%、32.67%、34.57%、31.41%。

关键词: 山区, 生态旅游, 发展模式, 阴那山旅游区, 土壤侵蚀, RUSLE, RS, GIS, 朝阳市

Abstract:

Taking Chaoyang City, Liaoning Province as the study area, with RS and GIS, based on RUSLE model, utilizing a series of data such as digital elevation model (DEM), rainfall, soil and RS images, the research of characteristics of spatial-temporal differentiation of soil erosion of Chaoyang City from 2001 to 2010 is conducted. Through the analysis of the time change of soil erosion modulus, time change of soil erosion intensity and spatial distribution of soil erosion intensity, the results of this research are summed up as follows: 1) The value of soil erosion modulus of this study area was generally in decline in 10 years. From 2004 to 2009 years, the overall situation was relatively good. Among them the average lowest value (254.02 t·km^-2 ·a^-1) was in 2009 due to the drought, however the average highest value (576.74 t·km^-2 ·a^-1) was in 2010 on account of torrential rain. And this is a special phenomenon, in contrast to the variety trend. 2) The area which is slightly eroded is rising. However, these indexes bounced back in 2010. From the spatial distribution of soil erosion, soil erosion modulus is on the high side place in the mountains. 3) Chaoyang County in north-west of the study area, is the most heavily eroded region. The average value of soil erosion modulus in that county (747.33 t·km^-2 ·a^-1) ranks the first. Besides, according to the standard, the rates of area which is intensively eroded or more serious are respectively 29.2%, 32.67%, 34.57% and 31.41%. In Lingyuan City, the rates of area which is intensively eroded or more serious are respectively 21.22%, 23.32%, 24.98%, and 29.04%. Similarly, soil erosion intensity in 2010 showed different degree of rebound in the study area. These above findings show that although 10-year period corresponding measures on soil and water conservation were taken in Chaoyang City, but there are still some areas (especially in Chaoyang County) for the prevention of soil erosion have not given adequate attention, especially in natural disaster prevention, and water and soil conservation measures may not be implemented. Protection of valuable land resources in the study area is still long way to go, it need to assess the situation of local governments at all levels to take various measures so as to prevent the occurrence of soil erosion.

Key words: mountainous area, ecotourism, development model, tourism scenic region of Yinna Mountain, soil erosion, RS, RUSLE, GIS, Chaoyang City

中图分类号:

S159

怡凯, 王诗阳, 王雪, 姚洪莉. 基于RUSLE模型的土壤侵蚀时空分异特征分析——以辽宁省朝阳市为例[J]. 地理科学, 2015, 35(3): 365-372.

YI Kai, WANG Shi-yang, WANG Xue, YAO Hong-li. The Characteristics of Spatial-temporal Differentiation of Soil Erosion Based on RUSLE Model: A Case Study of Chaoyang City, Liaoning Province[J]. SCIENTIA GEOGRAPHICA SINICA, 2015, 35(3): 365-372.

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基于RUSLE模型的土壤侵蚀时空分异特征分析——以辽宁省朝阳市为例

The Characteristics of Spatial-temporal Differentiation of Soil Erosion Based on RUSLE Model: A Case Study of Chaoyang City, Liaoning Province

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