|本期目录/Table of Contents|

[1]樊彦国,韩志聪,李倩倩,等.基于GIS和CSLE的土壤侵蚀定量评价——以山东省临沂地区为例[J].江苏农业科学,2016,44(11):439-442.
 Fan Yanguo,et al.Quantitative assessment of soil erosion based on GIS and CSLE—Taking Linyi of Shandong Province as an example[J].Jiangsu Agricultural Sciences,2016,44(11):439-442.
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基于GIS和CSLE的土壤侵蚀定量评价
——以山东省临沂地区为例
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第44卷
期数:
2016年11期
页码:
439-442
栏目:
资源与环境
出版日期:
2016-11-25

文章信息/Info

Title:
Quantitative assessment of soil erosion based on GIS and CSLE—Taking Linyi of Shandong Province as an example
作者:
樊彦国1 韩志聪1 李倩倩1 田从永2
1.中国石油大学地球科学与技术学院,山东青岛 266580; 2.海洋石油工程股份有限公司,山东青岛 266520
Author(s):
Fan Yanguoet al
关键词:
土壤侵蚀CSLE模型GIS技术临沂地区定量评价
Keywords:
-
分类号:
S127;S157
DOI:
-
文献标志码:
A
摘要:
为了解及评估山东省临沂地区土壤侵蚀现状,在地理信息系统(geographic information system,简称GIS)技术支持下,应用中国土壤侵蚀方程(Chinese soil loss equation,简称CSLE)模型,中分辨率成像光谱仪[moderate-resolution imaging spectroradiometer,简称MODIS(250 m)]与航天飞机雷达地形测绘[shuttle radar topography mission,简称SRTM(90 m)]影像,测量研究区10个气象站点降水量数据及土壤类型图等数据,结合临沂地区特征,定量估算了研究区土壤侵蚀量。结果表明:(1)研究区土壤的微度侵蚀占总面积的80.83%,轻度侵蚀占15.62%;(2)在地形起伏较大的山区、丘陵地带存在非常明显的中、强度侵蚀,土壤侵蚀较为严重的地区主要分布在山区周围,平原地区侵蚀强度较轻;(3)山区周围的侵蚀以山脚为主,越往上的区域,侵蚀程度越低。
Abstract:
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参考文献/References:

[1]倪九派,魏朝富,谢德体. 土壤侵蚀定量评价的空间尺度效应[J]. 生态学报,2005,25(8):2061-2067.
[2]王占礼. 中国土壤侵蚀影响因素及其危害分析[J]. 农业工程学报,2000,16(4):32-36.
[3]Meyer L D. Evaluation of the universal soil loss equation[J]. Journal of Soil and Water Conservation,1984,39(2):99-104.
[4]Wischmeier W H,Smith D D. Predicting rainfall erosion losses from cropland east of the Rocky Mountains[M]. Washington D C:United States Department of Agriculture,1978.
[5]Renard K G,Foster G R,Weesies G A,et al. Predicting soil erosion by water:a guide to conservation planning with the revised universal soil loss equation (RUSLE)[M]//Wischmeier W H,Smith D D.Predicing rainfall erosion losses:a guide to conservation planning:537. Washington D C:United States Department of Agriculture,1997:1-384.
[6]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.
[7]Flanagan D C,Nearing M A. WEPP technical documentation[J]. National Soil Erosion Research Laboratory,1995,10:17-21. [8]Cochrane T A,Flanagan D C.Assessing water erosion in small watersheds using WEPP with GIS and digital elevation models[J]. Journal of Soil and Water Conservation,1999,54(4):678-685.
[9]De Roo A P J. Modelling runoff and sediment transport in catchment using GIS[J]. Hydrological Processes,1998,12(6):905-922.
[10]刘宝元. 西北黄土高原区土壤侵蚀预报模型开发项目研究成果报告[R]. 北京:水利部水土保持监测中心,2006.
[11]程琳,杨勤科,谢红霞,等. 基于GIS和CSLE的陕西省土壤侵蚀定量评价方法研究[J]. 水土保持学报,2009,5:61-66.
[12]孙禹,哈斯额尔敦,杜会石. 基于GIS的东北黑土区土壤侵蚀模数计算[J]. 中国水土保持科学,2015,13(1):1-7.
[13]王凯,夏燕秋,马金辉,等. 基于CSLE和高分辨率航空影像的孤山川流域土壤侵蚀定量评价[J]. 水土保持研究,2015,22(1):26-32.
[14]章文波,谢云,刘宝元. 利用日雨量计算降雨侵蚀力的方法研究[J]. 地理科学,2002,22(6):705-711.
[15]门明新,赵同科,彭正萍,等. 基于土壤粒径分布模型的河北省土壤可蚀性研究[J]. 中国农业科学,2004,37(11):1647-1653.
[16]McCool D K,Brown L C,Foster G R,et al. Revised slope steepness factor for the universal soil loss equation[J]. Transactions of the ASAE,1987,30(5):1387-1396.
[17]Liu B Y,Nearing M A,Risse L M. Slope gradient effects on soil loss for steep slopes[J]. Transactions of the ASAE,1994,37(6):1835-1840.
[18]Wischmeier W H,Smith D D. Predicting rainfall erosion losses:a guide to conservation planning[M]. Washington D C:Uinted States Department of Agriculture,1978:537.
[19]顾祝军. 植被覆盖度的照相法测算及其与植被指数关系研究[D]. 南京:南京师范大学,2005.
[20]张宪奎,许靖华,卢秀琴,等. 黑龙江省土壤流失方程的研究[J]. 水土保持通报,1992,12(4):1-9.
[21]中华人民共和国水利部水土保持司. 土壤侵蚀分类分级标准:SL 190—2007[S]. 北京:中国水利水电出版社,2008:10-11.
[22]临沂市统计局. 2011临沂统计年鉴[M]. 北京:中国统计出版社,2011.

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备注/Memo

备注/Memo:
收稿日期:2015-09-17
基金项目:农业气象保障与重点实验室开放基金(编号:AMF201309);中央高校基本科研业务费专项资金(编号:11CX04012A)
作者简介:樊彦国(1965—),男,河北望都人,博士,教授,主要研究方向为遥感应用与国土资源。E-mail:ygfan@upc.edu.cn。
更新日期/Last Update: 2016-11-25