Quantitative Monitoring of Soil Erosion Loss in Nanjing by RS, GPS, and GIS

LIANG Wen-guang, QIAN Jun, GAO Shi-pei, WANG Dong-mei, XU Shan-shan, YANG Yin, WANG Yi-hong, KUANG Man-man

Journal of Changjiang River Scientific Research Institute ›› 2018, Vol. 35 ›› Issue (7) : 51-56.

PDF(1798 KB)
PDF(1798 KB)
Journal of Changjiang River Scientific Research Institute ›› 2018, Vol. 35 ›› Issue (7) : 51-56. DOI: 10.11988/ckyyb.20170089
WATERSOIL CONSERVATION AND ECOCONSTRUCTION

Quantitative Monitoring of Soil Erosion Loss in Nanjing by RS, GPS, and GIS

  • LIANG Wen-guang1, QIAN Jun2, GAO Shi-pei2, WANG Dong-mei1, XU Shan-shan3, YANG Yin1, WANG Yi-hong1, KUANG Man-man1
Author information +
History +

Abstract

A set of novel methods quantitatively monitoring soil erosion loss is employed to calculate the soil erosion loss in Nanjing City in 2011-2015 according to data of rainfall, land use, soil and terrain, and environmental satellite. Results revealed that: (1) From 2011 to 2015, the average total amount of soil erosion loss in Nanjing is 2.014 2 million tons, among which above light level (above level II) soil erosion is 1.667 7 million tons, occupying an area of 515.75 km2 and accounting for 82.8% of the total amount; soil erosion above level II remains a focus of control work. (2) With rainfall erosivity Ri as a decisive factor, the most severe soil erosion happened in 2015, while the slightest in 2013. (3) The five-year average amount of extremely severe (level VI) and severe (level V) soil erosion ranks top among the grading. (4) Compared with ten-year average in 2001-2010, the area of slight (level I) soil erosion in 2011-2015 increased by 7.6%, while the area of erosion above level II reduced by 42.5%, with the amount cut by 23.7%; the decrease in CP(vegetation cover and preservation measure) is the main cause of such mitigation in 2011-2015. (5) In 2011-2015, the decrease in area and amount of level IV and V alleviated; while the area and amount of level VI exacerbated due to large value of rainfall erosivity Ri (five-year average in 2011-2015). The research achievements offer important fundamental data support and scientific basis for the soil and water conservancy planning and soil erosion control in Nanjing City.

Key words

soil erosion loss / Nanjing City / 3S technology / quantitative monitoring / rainfall erosion

Cite this article

Download Citations
LIANG Wen-guang, QIAN Jun, GAO Shi-pei, WANG Dong-mei, XU Shan-shan, YANG Yin, WANG Yi-hong, KUANG Man-man. Quantitative Monitoring of Soil Erosion Loss in Nanjing by RS, GPS, and GIS[J]. Journal of Changjiang River Scientific Research Institute. 2018, 35(7): 51-56 https://doi.org/10.11988/ckyyb.20170089

References

[1] 马 力,卜兆宏,彭桂兰,等. 南京市 2001—2008 年水土流失的时空变化与治理成效研究[J].土壤学报,2011,48(4):683-692.
[2] 中华人民共和国水利部.第一次全国水利普查水土保持情况公报[J].中国水土保持,2013,(10):2-3,11.
[3] 蒋新新,方 瑞,乐 峰,等. 江苏省水土流失遥感监测数据系统的研究与设计[J].水利信息化,2016, (4):48-52.
[4] 张 洋,彭 瑶,刘竞妍,等.江苏省水土流失重点防治区划分[J].水土保持通报,2014, 34(2):300-306.
[5] 刘永能,穆如发,高之栋.“3S”技术在土壤侵蚀动态监测中应用初探[J].水土保持研究,2004,11(3):48-49.
[6] 王红岩,李强子,吴利桥,等.基于RS和GIS的水土流失敏感性评价及动态监测[J].水土保持研究,2015,22(2):64-68.
[7] 朱 惇.遥感和GIS技术支持下的区域土壤侵蚀评价语时空变化分析[D].武汉:华中农业大学,2010.
[8] 文雄飞,张 穗,张 煜,等.无人机倾斜摄影辅助遥感技术在水土保持动态监测中的应用潜力分析[J].长江科学院院报,2016,33(11):93-98.
[9] 姜小三,卜兆宏,杨林章,等.水土流失与水质污染一体化定量监测的初步研究——以江苏省方便流域为例[J].土壤学报,2005,42(4):529-536.
[10]卜兆宏,孙金庄,董勤瑞,等. 应用水土流失定量遥感方法监测山东全省山丘区的研究[J].土壤学报,1999,36(1):1-8.
[11]夏立忠,卜兆宏,张祖兴,等. 土壤与养分流失综合监测方法在密云水库流域的应用[J].地球科学进展,2007,22(3):241-248.
[12]卜兆宏,杨晓勇,王 库,等. 水土流失定量监测中的DEM精度评价新方法[J].土壤学报,2004,41(5):661-668.
[13]卜兆宏,姜小三,杨林章,等. 水土流失定量监测中GPS实测更新GIS数据的实用方法研究[J].土壤学报,2005,42(5):712-719.
[14]WISCHMEIER W H, SMITH D D. Predicting Rainfall Erosion Losses—A Guide to Conservation Planning Agriculture Handbook Number 537[R]. Washington, D.C.: U.S. Department of Agriculture, 1978.
[15]RENARD K G, FOSTER G R, WEESIES G A. Predicting Soil Erosion by Water—A Guide to Conservation Planning with the Revised Soil Loss Equation (RUSLE) Handbook No.703[R]. Washington, D.C.: U.S. Department of Agriculture, 1997.
[16]卜兆宏,唐万龙. 降雨侵蚀力因子(R)最佳算法及其应用的研究成果简介[J].中国水土保持,1999, (6):16-17.
[17]卜兆宏,董勤瑞,周伏建,等. 降雨侵蚀力因子新算法的初步研究[J].土壤学报,1992,29(4):408-418.
PDF(1798 KB)

Accesses

Citation

Detail

Sections
Recommended

/