1. 南京林业大学 南方现代林业协同创新中心 江苏省水土保持与 生态修复重点实验室,江苏,南京,210037
2. 江苏省水文水资源勘测,江苏,南京,210029
纸质出版:2022
移动端阅览
吴镇宇, 罗梦琦, 郭红丽, 等. 基于地理探测器的江苏省沿江地区土壤侵蚀定量分析[J]. 水土保持通报, 2022,42(2):184-188.
Wu Zhenyu, Luo Mengqi, Guo Hongli, et al. Quantitative Analysis of Soil Erosion Along Yangtze River in Jiangsu Province Based on Geographic Detector[J]. Bulletin of Soiland Water Conservation, 2022, 42(2): 184-188.
吴镇宇, 罗梦琦, 郭红丽, 等. 基于地理探测器的江苏省沿江地区土壤侵蚀定量分析[J]. 水土保持通报, 2022,42(2):184-188. DOI: 10.13961/j.cnki.stbctb.2022.02.025.
Wu Zhenyu, Luo Mengqi, Guo Hongli, et al. Quantitative Analysis of Soil Erosion Along Yangtze River in Jiangsu Province Based on Geographic Detector[J]. Bulletin of Soiland Water Conservation, 2022, 42(2): 184-188. DOI: 10.13961/j.cnki.stbctb.2022.02.025.
[目的] 研究江苏省沿海地区土壤侵蚀空间分布特征,识别主要影响因素并开展驱动力因子定量归因,为该区域水土流失防治与生态环境建设提供科学指导。[方法] 以江苏沿江地区为对象,基于高分辨率遥感影像、数字高程模型和长系列降雨等数据,采用中国土壤流失方程、地理探测器等方法,探索土壤侵蚀空间分异性的主导影响因子及其交互作用影响程度,识别土壤侵蚀高风险区域。[结果] ①平原区与山丘区土壤侵蚀均以坡度与土地利用类型为主导因素。茶园的土壤侵蚀以植被覆盖度为主导,其他类型土地的土壤侵蚀均以坡度为主导因子。②土壤侵蚀的主导交互作用为坡度叠加土地利用类型。茶园与草地主导交互作用因子为坡度叠加植被覆盖度,其他类型土地的土壤侵蚀主导交互作用因子为坡度叠加降雨量。③果园、茶园、林地与生产建设活动扰动地的土壤侵蚀高风险区域位于坡度>20°,降雨量1 300~1 400 mm,植被高覆盖度的丘陵山区。[结论] 地理探测器操作简便,结果包括单因子影响、两因子交互作用及风险区域分析。江苏省生产建设活动扰动地、园地的水土流失问题应引起密切关注。
[Objective] The spatial distribution characteristics of soil erosion was explored
the main influencing factors were identified and quantitative attribution of driving force factors were carried out
in order to guide regional soil erosion control and ecological environment construction. [Methods] Taking the area along the Yangtze River in Jiangsu Province as the research object
based on high-resolution remote sensing images
digital elevation models
and long series of rainfall data
the methods of Chinese soil loess equation (CSLE) and geographic detectors were used to explore the dominant influencing factors and interactions of the spatial variability of soil erosion
to identify areas with high risk of soil erosion. [Results] ① Slope and land use types dominated soil erosion in plain and hilly areas. The soil erosion of tea gardens was dominated by vegetation coverage
and soil erosion of other types of land use was dominated by slope. ② The dominant interaction of soil erosion was slope superimposition of land use types. The dominant interaction factors between tea garden and grassland were slope and vegetation coverage
and the dominant interaction factors for soil erosion of other types were slope and rainfall. ③ High-risk areas of soil erosion in orchards
tea gardens
woodlands and areas disturbed by production and construction activities were located in hilly mountainous areas with slopes> 20°
rainfall of 1300~1 400 mm
and high vegetation coverage. [Conclusion] The geo-detector is easy to operate. The results include single factor influence
two factor interaction and risk area analysis. Close attention should be paid to the problems of soil erosion in areas disturbed by production and construction activities and garden plots in Jiangsu Province.
水利部.《中华人民共和国水利部公报》简介[J].中华人民共和国水利部公报,2009(1):49.
中共中央,国务院,中央军委.《关于经济建设和国防建设融合发展的意见》和《长江经济带发展规划纲要》[J].中国纪检监察,2016(7):6.
任乐萌.顾及尺度效应的丹江口库区土壤侵蚀时空分异特征及驱动力研究[D].湖北 武汉:武汉理工大学,2018.
王慧琴.华北北部区域土壤侵蚀时空演变与驱动力分析[D].北京:北京林业大学,2020.
何琪琳,李斌斌,张风宝,等.东北黑土区坡耕地土壤侵蚀对影响因素响应的定量分析[J].地理学报,2021,76(5):1218-1230.
吴思佳,吴伟,陈文惠,等.基于地理探测器的闽三角城市群植被覆盖时空变化及影响因素研究[J].福建师范大学学报(自然科学版),2019,35(5):81-88.
王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
侯瑞.陕北黄土丘陵沟壑区土壤侵蚀驱动机制分析及其稳定性评价[D].陕西 西安:长安大学,2019.
齐斐,苏新宇,黎家作,等.沂蒙山区不同抽样密度对土壤侵蚀因子估算精度的影响[J].水土保持通报,2019,39(2):179-183.
刘宝元, 郭索彦, 李智广,等. 中国水力侵蚀抽样调查[J]. 中国水土保持, 2013(10):26-34.
王欢,高江波,侯文娟.基于地理探测器的喀斯特不同地貌形态类型区土壤侵蚀定量归因[J].地理学报,2018,73(9):1674-1686.
0
浏览量
698
下载量
3
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621