基于RUSLE的线状开发建设项目区土壤侵蚀动态监测——以浙江省宁波市北环快速路工程为例

张涛; 金德钢; 佟光臣; 林杰; 唐鹏; 李陆平

doi:10.13961/j.cnki.stbctb.2016.05.029

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基于RUSLE的线状开发建设项目区土壤侵蚀动态监测——以浙江省宁波市北环快速路工程为例

试验研究

- 基于RUSLE的线状开发建设项目区土壤侵蚀动态监测——以浙江省宁波市北环快速路工程为例
- Monitoring Soil Erosion in Linear Production and Construction Project Areas Based on RUSLE-A Case Study of North Ring Expressway in Ningbo City, Zhejiang Province
- 水土保持通报 2016年36卷第5期页码：131-135
- 作者机构：
  
  1. 宁波市水利水电规划设计研究院,浙江,宁波,315192
  2. 南京林业大学林学院,江苏,南京,210037
- 作者简介：
- 基金信息：
  
  宁波市水利局2016年度水利科技项目“城市快速路水土流失遥感监测技术研究”（一般类-14）
- DOI：10.13961/j.cnki.stbctb.2016.05.029
  中图分类号：
- 纸质出版：2016
- 稿件说明：
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张涛, 金德钢, 佟光臣, 等. 基于RUSLE的线状开发建设项目区土壤侵蚀动态监测——以浙江省宁波市北环快速路工程为例[J]. 水土保持通报, 2016,36(5):131-135.

ZHANG Tao, JIN Degang, TONG Guangchen, et al. Monitoring Soil Erosion in Linear Production and Construction Project Areas Based on RUSLE-A Case Study of North Ring Expressway in Ningbo City, Zhejiang Province[J]. Bulletin of Soiland Water Conservation, 2016, 36(5): 131-135.
张涛, 金德钢, 佟光臣, 等. 基于RUSLE的线状开发建设项目区土壤侵蚀动态监测——以浙江省宁波市北环快速路工程为例[J]. 水土保持通报, 2016,36(5):131-135. DOI： 10.13961/j.cnki.stbctb.2016.05.029.

ZHANG Tao, JIN Degang, TONG Guangchen, et al. Monitoring Soil Erosion in Linear Production and Construction Project Areas Based on RUSLE-A Case Study of North Ring Expressway in Ningbo City, Zhejiang Province[J]. Bulletin of Soiland Water Conservation, 2016, 36(5): 131-135. DOI： 10.13961/j.cnki.stbctb.2016.05.029.

摘要

[目的

]

全面调查浙江省宁波市北环快速路施工前后及施工过程中土壤侵蚀时空变化状况，为今后线状生产建设项目水土保持遥感监测提供参考。[方法

]

分别利用2010年宁波市土地利用/覆盖类型图、道路图及调查数据，结合项目区地形图和实测高程点生成的数字高程模型（DEM）、实测土壤属性数据、水文站降雨数据等资料分别获取RUSLE模型中各因子值的空间分布，然后通过RUSLE模型计算项目区3个不同阶段的土壤侵蚀量，最后进行分类统计。[结果

]

项目施工前期和自然恢复期的土壤侵蚀均以微度侵蚀为主，所占项目面积比例分别为98.53%和99.73%；而施工期的土壤侵蚀等级以轻度和微度侵蚀为主，两者分别占项目区面积的52.5%和35.4%；项目施工期的平均土壤侵蚀模数为1 380.9 t/（km

·a），远高于施工前及施工期后的251.3，155.4 t/（km

·a）。[结论

]

项目施工期土壤侵蚀区域主要分布在临时堆土区，进一步分析发现坡度因素对土壤侵蚀空间分布具有重要影响。

Abstract

[Objective] In order to provide references for the future remote sensing monitoring of soil and water conservation of the linear production and construction project in Ningbo City of Zhejiang Province

it is crucial to investigate the spatio-temporal distribution of soil erosion in ring expressway before and after construction and construction process.[Methods] Land use/cover map of Ningbo City in 2010

topographic map

map of North Ring expressway and field survey data was collected to derive digital elevation model (DEM). Rainfall data was collected from local hydrological station. Based on the collected data

the spatial distribution of the factors in RUSLE model was calculated

and soil erosion maps of the north ring expressway were estimated. Then

the soil erosion amount was calculated at three different stages by using RUSLE model.[Results] Slight erosion was dominant during preconstruction period and natural recovery period

which accounted for 98.53% and 99.73%

respectively. During construction period

mild erosion and slight erosion was the largest

which accounted for 52.5% and 35.4%

respectively. The average soil erosion modulus of construction period was 1 380.9 t/(km2·a)

which was 251.3 and 155.4 t/(km2·a) higher than that of preconstruction period and nature recovery period

respectively.[Conclusion] Soil erosion during the construction period is mainly distributed in the temporary soil ground. Furthermore

the terrain factor has an important influence on the spatial distribution of soil erosion.

关键词

Keywords

references

宋小强,张长印,刘杰.开发建设项目水土流失成因和特点分析[J].水土保持通报,2007,27(5):108-113.

吴永红.线形开发建设项目水土保持监测技术[J].水土保持通报,2003,23(4):33-35.

胡玉平.高速公路建设期水土流失监测方法分析研究[D].武汉:武汉理工大学,2004.

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]. Washington, DC:US Government Printing Office, 1997.

Fernandez C, Wu J Q, McCool D K, et al. Estimating water erosion and sediment yield with GIS, RUSLE, and SEDD[J]. Journal of Soil and Water Conservation, 2003,58(3):128-136.

Fu Guobin, Shulin Chen, McCool D K. Modeling the impacts of no-till practice on soil erosion and sediment yield with RUSLE, SEDD, and ArcView GIS[J]. Soil and Tillage Research, 2006,85(1):38-49.

Shi Z H, Cai C F, Ding S W, et al. Soil conservation planning at the small watershed level using RUSLE with GIS:A case study in the Three Gorge Area of China[J]. Catena, 2004, 55(1):33-48.

李铖,李俊祥,朱飞鸽,等.基于RUSLE的环杭州湾地区土壤侵蚀敏感性评价及关键敏感因子识别[J].应用生态学报,2009,20(7):1577-1585.

陆建忠,陈晓玲,李辉,等.基于GIS/RS和USLE鄱阳湖流域土壤侵蚀变化[J].农业工程学报,2011,27(2):337-344.

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.

谢云,刘宝元,章文波.侵蚀性降雨标准研究[J].土壤侵蚀与水土保持学报,2000,14(4):6-11.

卜兆宏,李全英.土壤可蚀性(

)值图的编制方法的初步研究[J].遥感技术与应用,1994(4):22-27.

Williams J, Nearing M, Nicks A, et al. Using soil erosion models for global change studies. Journal of Soil and Water Conservation, 1996,51(5):381-385.

Liu Baoyuan, Mark A. Nearing, Mark Risse. Slop gradient effects on soil loss for steep slopes[J]. Transactions of the ASAE,1994,37(6):1835-1840.

Van Remortel R, Maichle R, Hickey R. Computing the RUSLE

Factor through array-based slope length processing of digital elevation data using a C

executable[J]. Computers and Geosciences, 2004,30(9/10):1043-1053.

CAI Chongfa, DING Shuwen, SHI Zhihua, et al. Study of applying USLE and geographical information system IDRISI to predict soil erosion in small watershed[J]. Journal of Soil and Water Conservation, 2000, 14(2):19-24.

Zhou Bin, Yang Bailin, Hong Yetang, et al. Study on quantitative remote sensing monitoring of soil erosion in karst areas based on GIS-as exemplified by Anshun City, Guizhou[J]. Acta Mineral Sin, 2000,20(1):13-21.

王万忠,焦菊英.中国的土壤侵蚀因子定量评价研究[J].水土保持通报,1996,16(5):1-20.

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