PDF Download

[1]Xia Lang,Xia Wangxiao,Guo Fei,et al.Effects of different spatial resolutions of grid cells on Benggang susceptibility using subjective and objective weighting methods[J].Research of Soil and Water Conservation,2025,32(06):208-215,224.[doi:10.13869/j.cnki.rswc.2025.06.003]

Copy

Effects of different spatial resolutions of grid cells on Benggang susceptibility using subjective and objective weighting methods

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 32 Number of periods: 2025 06 Page number: 208-215,224 Column: Public date: 2025-10-20

Title:: Effects of different spatial resolutions of grid cells on Benggang susceptibility using subjective and objective weighting methods

Author(s):: Xia Lang^1,3,Xia Wangxiao³,Guo Fei^1,2,Cheng Dongbing⁴,Wang Jun³,Chen Jin³; (1.Key Laboratory of Geological Hazards on Three Gorges Reservoir Area of Ministry of Education,Yichang,Hubei 443002,China;2.College of Civil Engineering & Architecture,China Three Gorges University,Yichang,Hubei 443002,China;3.Hubei Maxi Engineering Survey and Design Co.,Ltd.,Yichang,Hubei 443004,China;4.Changjiang River Scientific Research Institute,Changjiang Water Resources Commission,Wuhan 430010,China)

Keywords:: Benggang; combined weighting method; random forest; spatial resolution of grid cells; susceptibility

CLC:: P694

DOI:: 10.13869/j.cnki.rswc.2025.06.003

Abstract:: [Objective] This study aims to investigate the effects of indicator system construction and different spatial resolutions on the evaluation of Benggang susceptibility, thereby providing references for selecting appropriate grid cell resolutions to assess Benggang susceptibility in southern Jiangxi. [Methods] Taking Ruijin County as the study area, an evaluation indicator system was developed using subjective and objective weighting methods(Analytic Hierarchy Process and Geodetector). 13 spatial resolutions of grid cells(20 m, 30 m, 40 m, 50 m, 60 m, 70 m, 80 m, 90 m, 100 m, 200 m, 300 m, 400 m, 500 m) were selected, and the Random Forest model was employed for the evaluation of Benggang susceptibility. [Results](1) The key evaluation indicators affecting Benggang susceptibility in Ruijin County were ranked by importance as： rainfall erosivity(GZR), slope, precipitation(Prec), leaf area index(LAI), fractional vegetation cover(FVCx), soil erodibility(GZK), slope length and steepness factor (LS-factor), color index (CI), and modified soil-adjusted vegetation index (MSAVI)；(2) The model achieved the best prediction performance at the grid cell size of 20 m(AUC = 0.88), with AUC values exhibiting a fluctuating declining trend as the spatial resolution decreased；(3) The high and relatively high susceptibility zones in Ruijin County were mainly distributed in Shazhouba, Yunshishan, Wantian, Huangbai, Jiubao, Yeaping, Xiefang, and Wuyang townships. [Conclusion] The most influential indicator factor for Benggang occurrence is rainfall erosivity. Among the 13 tested spatial resolutions, the grid cell size of 20 m shows the best model prediction performance.

References:: [1]廖义善，唐常源，袁再健，等.南方红壤区崩岗侵蚀及其防治研究进展[J]. 土壤学报，2018，55（6）：1297-1312. Liao Y S，Tang C Y，Yuan Z J，et al.Research progress on Benggang erosion and its prevention measure in red soil region of Southern China [J]. Acta Pedologica Sinica，2018，55（6）：1297-1312.
[2]李双喜，桂惠中，丁树文.中国南方崩岗空间分布特征[J]. 华中农业大学学报，2013，32（1）：83-86. Li S X，Gui H Z，Ding S W.Features of special layout of hill collapse in South China[J]. Journal of Huazhong Agricultural University，2013，32（1）：83-86.
[3]冯明汉，廖纯艳，李双喜，等.我国南方崩岗侵蚀现状调查[J]. 人民长江，2009，40（8）：66-68，75. Feng M H，Liao C Y，Li S X，et al.Investigation on status of hill collapsing and soil erosion in Southern China [J]. Yangtze River，2009，40（8）：66-68，75.
[4]程冬兵，张晶鑫，郭飞，等.南方崩岗调查内容与方法探讨[J]. 中国水利，2024（6）：68-72. Cheng D B，Zhang J X，Guo F，et al.Discussion on the content and method of slope collapse investigation in Southern China[J]. China Water Resources，2024（6）：68-72.
[5]郭飞，赖鹏，黄发明，等.基于知识图谱的滑坡易发性评价文献综述及研究进展[J]. 地球科学，2024，49（5）：1584-1606. Guo F，Lai P，Huang F M，et al.Literature review and research progress of landslide susceptibility mapping based on knowledge graph[J]. Earth Science，2024，49 （5）：1584-1606.
[6]程冬兵，赵元凌，张平仓，等.基于Logistic 模型的江西省崩岗侵蚀风险评估[J]. 中国水土保持科学，2017，15（6）：106-116. Cheng D B，Zhao Y L，Zhang P C，et al.On the risk assessment of collapse gully erosion in Jiangxi Province based on Logistic model[J]. Science of Soil and Water Conservation，2017，15（6）：106-116.
[7]郭飞，吴迪，王秀娟，等.基于随机森林模型和地理探测器的赣南兴国县崩岗易发性评价[J]. 三峡大学学报：自然科学版，2023，45（6）：44-50. Guo F，Wu D，Wang X J，et al.Susceptibility assessment of Benggang based on random forests model and geodetector in Xingguo County of south Jiangxi[J]. Journal of China Three Gorges University：Natural Sciences，2023，45（6）：44-50.
[8]郭飞，张晶鑫，山宏盼，等.不同栅格分辨率下赣州市石城县崩岗易发性评价研究[J]. 三峡大学学报：自然科学版，2024，46（2）：63-70. Guo F，Zhang J X，Shan H P，et al.Evaluation of the susceptibility to Benggang in Shicheng County，Ganzhou City under different raster cell resolutions[J]. Journal of China Three Gorges University：Natural Sciences，2024，46（2）：63-70.
[9]Shirzadi A，Solaimani K，Roshan M H，et al.Uncertainties of prediction accuracy in shallow landslide modeling： Sample size and raster resolution[J]. Catena，2019，178： 172-188.
[10]Cama M，Conoscenti C，Lombardo L，et al.Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models：a test in the Giampilieri catchment （Sicily，Italy）[J]. Environmental Earth Sciences，2016，75（3）：238.
[11]Arnone E，Francipane A，Scarbaci A，et al.Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping [J]. Environmental Modelling & Software，2016，84：467-481.
[12]丁光敏.福建省崩岗侵蚀成因及治理模式研究[J]. 水土保持通报，2001，21（5）：10-15. Ding G M.Causes and control patterns of collapse gully erosion in Fujian Province[J]. Bulletin of Soil and Water Conservation，2001，21（5）：10-15.
[13]刘瑞华.华南地区崩岗侵蚀灾害及其防治[J]. 水文地质工程地质，2004，31（4）：54-57. Liu R H.Slope disintegration and its control in South China[J]. Hydrogeology and Engineering Geology，2004，31（4）：54-57.
[14]程冬兵，张平仓.南方崩岗侵蚀风险评估构想[J]. 水土保持通报，2016，36（4）：346-350. Cheng D B，Zhang P C.Conception of risk assessment of collapse gully erosion in South China[J]. Bulletin of Soil and Water Conservation，2016，36（4）：346-350.
[15]李万能，金平伟，李岚斌，等.南方红壤丘陵区崩岗成因机理的研究进展[J]. 亚热带水土保持，2014，26（3）：30-33，43. Li W N，Jin P W，Li L B，et al.Research progress on the genetic mechanism of Benggang in the hilly red soil region of Southern China[J]. Subtropical Soil and Water Conservation，2014，26（3）：30-33，43.
[16]刘永垚，第宝锋，詹宇，等.基于随机森林模型的泥石流易发性评价：以汶川地震重灾区为例[J]. 山地学报，2018，36（5）：765-773. Liu Y Y，Di B F，Zhan Y，et al.Debris flows susceptibility assessment in Wenchuan earthquake areas based on random forest algorithm model[J]. Mountain Research，2018，36（5）：765-773.
[17]吴孝情，赖成光，陈晓宏，等.基于随机森林权重的滑坡危险性评价：以东江流域为例[J]. 自然灾害学报，2017，26（5）：119-129. Wu X Q，Lai C G，Chen X H，et al.A landslide hazard assessment based on random forest weight：A case study in the Dongjiang River Basin[J]. Journal of Natural Disasters，2017，26（5）：119-129.
[18]陈志强，陈志彪，陈丽慧.南方红壤侵蚀区典型流域土壤侵蚀危险性评价[J]. 土壤学报，2011，48（5）：1080-1082. Chen Z Q，Chen Z B，Chen L H.Assessment of soil erosion risk in watersheds typical of eroded red soil region，South China[J]. Acta Pedologica Sinica，2011，48（5）：1080-1082.
[19]郭飞，赖鹏，陈洋，等.不同环境因子联接方法对崩岗易发性评价的影响[J]. 水土保持通报，2022，42（5）：123-130. Guo F，Lai P，Chen Y，et al.Influence of different environmental factor connection methods on Benggang susceptibility assessment[J]. Bulletin of Soil and Water Conservation，2022，42（5）：123-130.
[20]廖凯涛，刘艳，刘荃，等.赣州市崩岗侵蚀分布特征与影响因子分析[J]. 水土保持研究，2021，28（6）：126-130. Liao K T，Liu Y，Liu Q，et al.Distribution characteristics and driving factors of Benggang erosion in Ganzhou City[J]. Research of Soil and Water Conservation，2021，28（6）：126-130.
[21]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. Wang J F，Xu C D.Geodetector：Principle and prospective[J]. Acta Geographica Sinica，2017，72（1）：116-134.
[22]郭飞，蒋广辉，黄晓虎，等.环境因子组合和负样本选取策略对花岗岩区崩岗易发性评价的影响[J]. 农业工程学报，2024，40（1）：191-200. Guo F，Jiang G H，Huang X H，et al.Impact of environmental factor combinations and negative sample selection on Benggang susceptibility assessment in granite areas[J]. Transactions of the Chinese Society of Agricultural Engineering ，2024，40（1）：191-200.

Similar References:

Memo

Last Update: 2025-12-10