1. 云南师范大学旅游与地理科学学院,昆明,650500
2. 云南省地理空间信息技术工程技术研究中心,昆明,650500
3. 西南大学地理科学学院,重庆,400715
[ "张恩伟(1994-),男,硕士研究生,主要从事土壤侵蚀与水土保持研究。E-mail:lamadog@126.com" ]
纸质出版:2020
移动端阅览
张恩伟, 彭双云, 冯华梅. 基于GIS和RUSLE的滇池流域土壤侵蚀敏感性评价及其空间格局演变[J]. 水土保持学报, 2020,34(2):115-122.
ZHANG Enwei, PENG Shuangyun, FENG Huamei. Sensitivity Assessment of Soil Erosion and Its Spatial Pattern Evolution in Dianchi Lake Basin Based on GIS and RUSLE[J]. 2020, 34(2): 115-122.
张恩伟, 彭双云, 冯华梅. 基于GIS和RUSLE的滇池流域土壤侵蚀敏感性评价及其空间格局演变[J]. 水土保持学报, 2020,34(2):115-122. DOI: 10.13870/j.cnki.stbcxb.2020.02.017.
ZHANG Enwei, PENG Shuangyun, FENG Huamei. Sensitivity Assessment of Soil Erosion and Its Spatial Pattern Evolution in Dianchi Lake Basin Based on GIS and RUSLE[J]. 2020, 34(2): 115-122. DOI: 10.13870/j.cnki.stbcxb.2020.02.017.
土壤侵蚀是滇池流域重要的生态问题之一,掌握滇池流域土壤侵蚀敏感性的时空变化特征有助于水土保持工作的实施和改进。以降雨量、DEM、土壤类型和Landsat影像为数据源,选择降雨、土壤、坡度坡长、植被覆盖4个因子建立土壤侵蚀敏感性评价体系,对滇池流域进行土壤侵蚀敏感性评价。结果表明:滇池流域土壤侵蚀敏感性以轻度敏感和中度敏感为主。空间分布上,轻度敏感区主要分布在滇池周边。中度敏感区主要分布在滇池流域山地区域,地形陡峭。时间变化上,1999—2014年滇池流域土壤侵蚀敏感程度呈下降趋势。轻度敏感区域面积增加20.18%,中度敏感区域面积减少20.31%,轻度敏感区的增加来源于中度敏感区的转变,转变区域分布于滇池流域西北部和东南部。在土壤侵蚀敏感性影响因子中,降雨是影响滇池流域土壤侵蚀敏感性的关键因子。研究滇池流域土壤敏感性时空变化,识别滇池流域易发生土壤侵蚀的区域,有助于该区域水土保持措施实施、生态治理和土地利用优化。
Soil erosion is one of the important environmental problems in the Dianchi Lake Basin. It is helpful for the implementation and improvement of water and soil conservation to grasp the temporal and spatial characteristics of soil erosion sensitivity in Dianchi basin. Taking rainfall
DEM
soil type and Landsat Image as data sources
four factors including rainfall
soil
slope length and steepness
and vegetation coverage were selected to establish a soil erosion sensitivity evaluation system which apply to basin
such as Dianchi Lake Basin. The results showed that the sensitivity of soil erosion in Dianchi Lake Basin was mainly mildly and moderately sensitive. In the spatial distribution
the mildly sensitive areas were mainly distributed around Dianchi Lake. The moderately sensitive areas were mainly distributed in the mountainous areas with steep terrain. In terms of the temporal change
the sensitivity of soil erosion in the Dianchi Lake Basin declined during 1999-2014. The area of mildly sensitive areas increased by 20.18%
the area of moderately sensitive areas decreased by 20.31%
and the increase of mildly sensitive areas originated from the transformation of moderately sensitive areas
which were distributed in the northwest and southeast of Dianchi Lake Basin. Among the soil erosion sensitivity impact factors
rainfall was a key factor affecting soil erosion sensitivity in Dianchi Lake Basin. The spatial-temporal changes of soil sensitivity in the Dianchi Lake Basin were studied
and the areas prone to soil erosion in the Dianchi Lake Basin were identified
which contributed to the implementation of soil and water conservation measures
ecological management and land use optimization in this area.
Park S, Oh C, Jeon S, et al. Soil erosion risk in Korean watersheds, assessed using the revised universal soil loss equation[J].Journal of hydrology,2011,399(3/4):263-273.
Amundson R, Berhe A A, Hopmans J W, et al. Soil and human security in the 21st century[J].Science,2015,348(6235):1261071.
刘震.我国水土保持情况普查及成果运用[J].中国水土保持科学,2013,11(2):1-5.
李益敏,朱军.基于GIS的区域土壤侵蚀敏感性评价:以怒江州为例[J].云南大学学报(自然科学版),2017,39(1):98-106.
Qin W, Guo Q K, Cao W H, et al. A new RUSLE slope length factor and its application to soil erosion assessment in a Loess Plateau watershed[J].Soil and Tillage Research,2018,182:10-24.
乔治,徐新良.东北林草交错区土壤侵蚀敏感性评价及关键因子识别[J].自然资源学报,2012,27(8):1349-1361.
朱惇,李璐,韩小波.基于空间主成分分析的湖北省土壤侵蚀敏感性评价[J].中国水土保持,2013(4):40-43,69.
Conoscenti C, Agnesi V, Angileri S, et al. A GIS-based approach for gully erosion susceptibility modelling:A test in Sicily, Italy[J].Environmental Earth Sciences,2013,70(3):1179-1195.
Zhang R H, Liu X, Heathman G C, et al. Assessment of soil erosion sensitivity and analysis of sensitivity factors in the Tongbai-Dabie mountainous area of China[J].Catena,2013,101:92-98.
Kachouri S, Achour H, Abida H, et al. Soil erosion hazard mapping using Analytic Hierarchy Process and logistic regression:A case study of Haffouz watershed, central Tunisia[J].Arabian Journal of Geosciences,2015,8(6):4257-4268.
Saini S S, Jangra RandKaushik S. Vulnerability assessment of soil erosion using geospatial techniques-A pilot study of upper catchment of Markanda river[J].International Journal of Advancement in Remote Sensing, GIS and Geography,2015,2(1):9-21.
董磊,彭明春,王崇云,等.基于USLE和GIS/RS的滇池流域土壤侵蚀研究[J].水土保持研究,2012,19(2):11-14,18.
杨一光.云南省综合自然区划[M].北京:高等教育出版社,1991.
曾凌云.基于RUSLE模型的喀斯特地区土壤侵蚀研究[D].北京:北京大学,2008.
国务院西部地区开发领导小组办公室,国家环境保护总局.生态功能区划暂行规程[S].2002,http://www.mee.gov.cn/stbh/stgnbh/201605/t20160522_342387.shtml.
刘军会,高吉喜,马苏,等.中国生态环境敏感区评价[J].自然资源学报,2015,30(10):1607-1616.
杨新华,王侃,李加林,等.基于GIS的慈溪市土壤侵蚀敏感性评价[J].水土保持通报,2016,36(4):210-215.
Efthimiou N. Evaluating the performance of different empirical rainfall erosivity (R) factor formulas using sediment yield measurements[J].Catena,2018,169:195-208.
章文波,付金生.不同类型雨量资料估算降雨侵蚀力[J].资源科学,2003,25(1):35-41.
Wischmeier W H, Smith D D. Predicting rainfall erosion losses:A guide to conservation planning[M].Hyattsville,Maryland:USDA, Science and Education Administration,1978.
张科利,彭文英,杨红丽.中国土壤可蚀性值及其估算[J].土壤学报,2007,44(1):7-13.
吴思颖,汪小钦,曾舒娇,等.基于CSLE的安溪县土壤侵蚀估算与分析[J].中国水土保持科学,2019,17(4):112-121.
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.
胡先培,曾成,钱庆欢,等.基于RUSLE模型的铜仁地区1987-2015年土壤侵蚀时空特征[J].生态与农村环境学报,2019,35(2):158-166.
蔡崇法,丁树文,史志华,等.应用USLE模型与地理信息系统IDRISI预测小流域土壤侵蚀量的研究[J].水土保持学报,2000,14(2):19-24.
李大龙,杨井,李卫红,等.基于GIS和USLE的伊犁河谷土壤侵蚀敏感性评价[J].生态学杂志,2016,35(4):942-951.
舒天竹,王晓红.基于3S技术的地形起伏度与区域土壤侵蚀的相关性研究[J].水土保持研究,2017,24(4):127-132.
Chen S F, Zha X. Evaluation of soil erosion vulnerability in the Zhuxi watershed, Fujian Province, China[J].Natural Hazards,2016,82(3):1589-1607.
芦佳玉,延军平,李英杰.基于SPEI及游程理论的云贵地区1960-2014年干旱时空变化特征[J].浙江大学学报(理学版),2018,45(3):363-372.
丁剑宏,谢飞帆,陈丽.滇池流域土壤侵蚀空间结构的分形特征分析[J].中国水土保持,2011(1):43-45,67.
彭双云,杨昆,洪亮,等.基于USLE模型的滇池流域土壤侵蚀时空演变分析[J].农业工程学报,2018,34(10):138-146,305.
刘会玉,王充,林振山,等.基于RS和GIS的滇池流域水土流失动态监测[J].南京师范大学学报(自然科学版),2012,35(2):120-124.
0
浏览量
1509
下载量
27
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621