[1]林小慧,何 玥,黄炎和,等.“三生空间”视角下基于云模型的崩岗侵蚀危害评价[J].山地学报,2024,(3):411-421.[doi:10-16089/j.cnki.1008-2786.000833]
　LIN Xiaohui,HE Yue,HUANG Yanhe,et al.Cloud Model-Based Assessment of Benggang Erosion Hazard in the Red Soil Area of South China from a Production-Living-Ecology Space Perspective[J].Mountain Research,2024,(3):411-421.[doi:10-16089/j.cnki.1008-2786.000833]
点击复制

“三生空间”视角下基于云模型的崩岗侵蚀危害评价
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2024年第3期
页码:
411-421
栏目:
山地灾害
出版日期:
2024-05-25

文章信息/Info

Title:
Cloud Model-Based Assessment of Benggang Erosion Hazard in the Red Soil Area of South China from a Production-Living-Ecology Space Perspective
文章编号:
1008-2786-(2024)3-411-11
作者:
林小慧1; 何 玥1; 黄炎和1; 林金石1; 季 翔1; 2*
(1. 福建农林大学,福州 350002; 2. 自然资源部东南生态脆弱区监测修复工程技术创新中心,福州350001)
Author(s):
LIN Xiaohui1;  HE Yue1;  HUANG Yanhe1;  LIN Jinshi1;  JI Xiang1; 2*
(1. Fujian Agriculture and Forestry University, Fuzhou 350002, China; 2. Technology Innovation Center for Monitoring and Restoration Engineering of Ecological Fragile Zone in Southeast China, Ministry of Natural Resources, Fuzhou 350001, China)
关键词:
崩岗;  三生空间;  云模型;  危害评价
Keywords:
Benggang;  production-living-ecology space;  cloud model;  hazard assessment
分类号:
S157
DOI:
10-16089/j.cnki.1008-2786.000833
文献标志码:
A
摘要:
崩岗是中国南方红壤区最严重的土壤侵蚀形式之一。崩岗侵蚀危害的类型与大小均存在空间差异,崩岗危害评估与风险防控应具备针对性和时效性,并提高评价结果的空间精度。本研究以福建省安溪县官桥镇为研究区,基于生产、生活、生态空间视角构建崩岗侵蚀危害评价模型,通过云模型对2020年崩岗侵蚀危害进行评价,并提出相应的治理措施。结果表明:(1)经济密度、人口密度和崩岗面积占比的权重较大,分别为0.278、0.164和0.148,说明经济社会因素和崩岗侵蚀的直接影响因素对危害程度的影响最大。(2)崩岗侵蚀危害呈中部和东北部高、四周低的空间分布特征,且对生产空间造成的危害最高,生态空间次之,生活空间最小,在风险管理体系中应重点预防中部和东北部的崩岗侵蚀危害,尤其是对生产空间的危害防控。(3)对比基于云模型与未应用云模型的评价结果,极高危害V区的空间分布趋势相似; 应用云模型得出的空间评价结果更加细化,更能体现崩岗侵蚀危害的整体水平。本研究可进一步丰富崩岗侵蚀危害评价方法,并为崩岗治理提供建议。
Abstract:
Benggang is one of the most serious forms of soil erosion in the red soil areas of southern China. Since there exists spatial differences in the types and sizes of Benggang hazards, approaches to Benggang hazard assessment and risk control practices should be targeted and time-sensitive, and require more spatial accuracy of assessment results.
In this study, it demonstrated a proper approach of hazard assessment of Benggang in Guanqiao town, Anxi county, Fujian province, a red soil area in southern China. A cloud model-based assessment model of Benggang hazard was built from a production-living-ecology space perspective, and then it was justified by a case study of 2020 for the town, followed by feasible countermeasures to the Benggang occurrences to be proposed.
(1)Economic density, population density, and the proportion of the Benggang area to the area of each village in Guanqiao town were dominant factors, with weights of 0.278, 0.164, and 0.148, respectively, suggesting that the economic and social factors and the direct influencing factors of Benggang collectively regulated hazard level.
(2)The Benggang hazards was characterized spatially by a high clustering in the central and northeastern part of the town, but a sparse formation in the surrounding area. It caused the highest harm to productive-space, followed by ecology-pace, and the least to living-space. It is advisable to address the prevention of the Benggang hazards in the central and northeastern part, especially for the production-space, if any in a risk management system.
(3)As comparing the evaluation results based on the cloud model and a non-applied cloud model/regular model, the spatial distribution trends of the very high hazard V zones were almost identical for the both models, but the cloud model-based assessment produced more refined and detailed output, revealing the overall pattern of the Benggang hazards in the study areas.
This study not only enriches methodology for evaluating Benggang hazards but also offers suggestions for an proper Benggang management policy.

参考文献/References:

[1] 史德明. 南方花岗岩区的土壤侵蚀及其防治[J]. 水土保持学报, 1991, 5(3): 63-72. [SHI Deming. Soil erosion and its control in the granite region of southern China [J]. Journal of Soil and Water Conservation, 1991, 5(3): 63-72] DOI: 10.13870/j.cnki.stbcxb.1991.03.008
[2] LIU Xinyu, ZHANG Xianwei, KONG Lingwei, et al. Formation mechanism of collapsing gully in southern China and the relationship with granite residual soil: A geotechnical perspective [J]. Catena, 2022, 210: 105890. DOI: 10.1016/j.catena.2021.105890
[3] 岳梦, 刘希林. 崩岗泥砂流流体和流动特性及其输沙研究——以广东德庆县径深崩岗为例[J]. 山地学报, 2022, 40(6): 859-874. [YUE Meng, LIU Xilin. Hydrodynamic properties of Benggang-related mud-sand flow and sediment yield: A case study of Jingshen mud-sand flow at Deqing county of Guangdong, China [J]. Mountain Research, 2022, 40(6): 859-874] DOI: 10.16089/j.cnki.1008-2786.000719
[4] 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 Dongbing, ZHAO Yuanling, ZHANG Pingcang, 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] DOI: 10.16843/j.sswc.2017.06.013
[5] 管家琳, 黄炎和, 林金石, 等. 基于信息量模型与随机森林模型的崩岗风险对比评估[J]. 山地学报, 2021, 39(4): 539-551. [GUAN Jialin, HUANG Yanhe, LIN Jinshi, et al. Comparisons between Benggang risk assessments based on Information model and Random Forest model [J]. Mountain Research, 2021, 39(4): 539-551] DOI: 10.16089/j.cnki.1008-2786.000618
[6] 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 Fei, LAI Peng, CHEN Yang, 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] DOI: 10.13961/j.cnki.stbctb.2022.05.016
[7] 龙莉, 丁树文, 蔡崇法, 等. 花岗岩红壤丘陵区崩岗侵蚀对农田的危害及治理[J]. 中国水土保持, 2013(12): 24-26. [LONG Li, DING Shuwen, CAI Chongfa, et al. The harm and control of Benggang erosion to farmland in granite red soil hilly area [J]. Soil and Water Conservation in China, 2013(12): 24-26] DOI: 10.14123/j.cnki.swcc.2013.12.015
[8] 梁音, 宁堆虎, 潘贤章, 等. 南方红壤区崩岗侵蚀的特点与治理[J]. 中国水土保持, 2009(1): 31-34. [LIANG Yin, NING Duihu, PAN Xianzhang, et al. Characteristics and control of Benggang erosion in red soil region of Southern China [J]. Soil and Water Conservation in China, 2009(1): 31-34] DOI: 10.14123/j.cnki.swcc.2009.01.009
[9] 程冬兵, 赵元凌, 张平仓, 等. 基于双变量熵信息法的江西省崩岗侵蚀风险评估[J]. 长江科学院院报, 2019, 36(2): 27-32+38. [CHENG Dongbing, ZHAO Yuanling, ZHANG Pingcang, et al. Risk assessment of collapse gully erosion in Jiangxi province based on bivariate statistical analysis of entropy information [J]. Journal of Yangtze River Scientific Research Institute, 2019, 36(2): 27-32+38] DOI: 10.11988/ckyyb.20170984
[10] 熊俊楠, 曹依帆, 程维明, 等. 福建省山洪灾害危险性评价[J]. 山地学报, 2019, 37(4): 538-550. [XIONG Junnan, CAO Yifan, CHENG Weiming, et al. Risk assessment of mountain torrent disasters in Fujian province, China [J]. Mountain Research, 2019, 37(4): 538-550] DOI: 10.16089/j.cnki.1008-2786.000446
[11] 牛彦合, 焦胜, 操婷婷, 等. 基于PSR模型的城市多灾种风险评估及规划响应[J]. 城市发展研究, 2022, 29(4): 39-48. [NIU Yanhe, JIAO Sheng, CAO Tingting, et al. Urban multi-hazard risk assessment and planning response based on PSR model [J]. Urban Development Studies, 2022, 29(4): 39-48] DOI: 10.3969/j.issn.1006-3862.2022.04.006
[12] 付朝华, 曾亮, 严钦强, 等. 全域土地综合整治视角下的地质灾害易发区村庄规划策略研究——以河池市坪上村为例[J]. 规划师, 2022, 38(S1): 88-93. [FU Chaohua, ZENG Liang, YAN Qinqiang, et al. Geo-disaster prone village planning from the perspective of comprehensive land reorganization: Pingshang village, Hechi city [J]. Planners, 2022, 38(S1): 88-93]
[13] 夏照亮, 兰安军, 范泽孟, 等. “三生”空间视角下喀斯特山区流域景观生态风险的时空分布特征[J]. 水土保持通报, 2023, 43(2): 256-266+276. [XIA Zhaoliang, LAN Anjun, FAN Zemeng, et al. Spatial and temporal distribution characteristics of landscape ecological risks in karst mountain watersheds from productive-living-ecological perspective [J]. Bulletin of Soil and Water Conservation, 2023, 43(2): 256-266+276] DOI: 10.13961/j.cnki.stbctb.20221012.003
[14] 陈晓红, 许晓庆, 刘艳军, 等. 基于三生空间质量的哈长城市群城市脆弱性时空演变格局及驱动力研究[J]. 生态学报, 2022, 42(15): 6395-6405. [CHEN Xiaohong, XU Xiaoqing, LIU Yanjun, et al. Patterns and driving forces of the temporal-spatial evolution of urban vulnerability in Harbin-Changchun urban agglomeration based on the production-living-ecological spatial quality [J]. Acta Ecologica Sinica, 2022, 42(15): 6395-6405] DOI: 10.5846/stxb202106221662
[15] YANG Xiaojing, WANG Juan, QIAO Na, et al. Spatiotemporal variation pattern of production-living-ecological space and land use ecological risk and their relationship analysis: A case study of Changzhi City, China [J]. Environmental Science and Pollution Research, 2023, 30(25): 66978-66993. DOI: 10.1007/s11356-023-27169-w
[16] 李德毅, 刘常昱. 论正态云模型的普适性[J]. 中国工程科学, 2004, 6(8): 28-34. [LI Deyi, LIU Changyu. Study on the universality of the normal cloud model [J]. Engineering Science, 2004, 6(8): 28-34]
[17] 洪成, 王桂生, 周家贵, 等. 基于云模型和风险矩阵的自然灾害风险评价[J]. 人民黄河, 2019, 41(6): 14-20. [HONG Cheng, WANG Guisheng, ZHOU Jiagui, et al. Natural disaster risk assessment based on cloud model and risk matrix [J]. Yellow River, 2019, 41(6): 14-20] DOI: 10.3969/j.issn.1000-1379.2019.06.004
[18] 万昔超, 殷伟量, 孙鹏, 等. 基于云模型的暴雨洪涝灾害风险分区评价[J]. 自然灾害学报, 2017, 26(4): 77-83. [WAN Xichao, YIN Weiliang, SUN Peng, et al. Risk division assessment of rainstorm-flood disasters based on cloud model [J]. Journal of Natural Disasters, 2017, 26(4): 77-83] DOI: 10.13577/j.jnd.2017.0409
[19] 张威, 胡舫瑞, 綦巍, 等. 基于XGBoost 和云模型的地质灾害易发性评价[J]. 中国地质灾害与防治学报, 2023, 34(6): 136-145. [ZHANG Wei, HU Fangrui, QI Wei, et al. Susceptibility assessment of geological hazard based on XGBoost and cloud model [J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(6): 136-145] DOI: 10.16031/j.cnki.issn.1003-8035.202210041
[20] 韩峰, 刘志博, 尹文华, 等. 基于二维云模型的沙漠高速公路生态风险评价及优选研究[J]. 安全与环境学报, 2023, 23(10): 3774-3783. [HAN Feng, LIU Zhibo, YIN Wenhua, et al. Ecological risk evaluation and optimum selection of desert expressway schemes based on 2-D cloud model [J]. Journal of Safety and Environment, 2023, 23(10): 3774-3783] DOI: 10.13637/j.issn.1009-6094.2021.2284
[21] 焦柳丹, 邓佳丽, 吴雅, 等. 基于PSR+云模型的城市韧性水平评价研究[J]. 生态经济, 2022, 38(5): 114-120. [JIAO Liudan, DENG Jiali, WU Ya, et al. Evaluation of urban resilience based on PSR+Cloud model [J]. Ecological Economy, 2022, 38(5): 114-120]
[22] PENG Tao, DENG Hongwei, LIN Yun, et al. Assessment on water resources carrying capacity in karst areas by using an innovative DPESBRM concept model and cloud model [J]. Science of the Total Environment, 2021, 767: 144353. DOI: 10.1016/j.scitotenv.2020.144353
[23] ZHANG Yang, SHANG Kejian. Cloud model assessment of urban flood resilience based on PSR model and game theory [J]. International Journal of Disaster Risk Reduction, 2023, 97: 104050. DOI: 10.1016/j.ijdrr.2023.104050
[24] 季翔, 黄炎和, 林金石, 等. 基于生态位适宜度的南方花岗岩区崩岗发生敏感性评价方法[J]. 中国农业大学学报, 2017, 22(10): 159-168. [JI Xiang, HUANG Yanhe, LIN Jinshi, et al. Sensitivity assessment method of collapsed gully occurrence in granite region of south China based on niche-fitness [J]. Journal of China Agricultural University, 2017, 22(10): 159-168] DOI: 10.11841/j.issn.1007-4333.2017.10.19
[25] 林小慧, 黄炎和, 林金石, 等. 基于DPSIR模型的崩岗侵蚀风险评价及时空特征[J]. 农业工程学报, 2023, 39(18): 123-131. [LIN Xiaohui, HUANG Yanhe, LIN Jinshi, et al. Risk assessment and spatial-temporal characteristics of Benggang erosion based on DPSIR model [J]. Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE), 2023, 39(18): 123-131] DOI: 10.11975/j.issn.1002-6819.202304204
[26] 王强, 陈田田, 李爱迪, 等. “三生”视角下的国土空间利用质量评价——以攀西地区为例[J]. 山地学报, 2020, 38(2): 290-302. [WANG Qiang, CHEN Tiantian, LI Aidi, et al. Evaluation of territorial utilization quality based on "production-living-ecological perspectives": A case study of Panxi region [J]. Mountain Research, 2020, 38(2): 290-302] DOI: 10.16089/j.cnki.1008-2786.000510
[27] 江曼琦, 刘勇. “三生”空间内涵与空间范围的辨析[J]. 城市发展研究, 2020, 27(4): 43-48+61. [JIANG Manqi, LIU Yong. Discussion on the concept definition and spatial boundary classification of "production-living-ecological" space [J]. Urban Development Studies, 2020, 27(4): 43-48+61]
[28] 张令达, 侯全华, 段亚琼. 生态文明背景下三生空间研究:内涵、进展与对策[J]. 生态学报, 2024, 44(1): 47-59. [ZHANG Lingda, HOU Quanhua, DUAN Yaqiong. A literature review on Production-Living-Ecological Spaces in the context of ecological civilization: Connotation, problems and countermeasures [J]. Acta Ecologica Sinica, 2024, 44(1): 47-59] DOI: 10.20103/j.stxb.202211173323
[29] AHMAD M S, LISA M, KHAN S. Comparative analysis of analytical hierarchy process(AHP)and frequency ratio(FR)models for landslide susceptibility mapping in Reshun, NW Pakistan [J]. Kuwait Journal of Science, 2023, 50(3): 387-398. DOI: 10.1016/j.kjs.2023.01.004
[30] 曾营, 张迎宾, 张钟远, 等. 基于X-多层感知器耦合模型的滑坡易发性评价——以贵州省松桃自治县为例[J]. 山地学报, 2023, 41(2): 280-294. [ZENG Ying, ZHANG Yingbin, ZHANG Zhongyuan, et al. Landslide susceptibility evaluation based on Coupled X-multilayer Perceptron model: A case study of Songtao Autonomous county of Guizhou province, China [J]. Mountain Research, 2023, 41(2): 280-294] DOI: 10.16089/j.cnki.1008-2786.000748
[31] 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 Guangmin. Causes and control patterns of collapse gully erosion in Fujian province [J]. Bulletin of Soil and Water Conservation, 2001, 21(5): 10-15] DOI: 10.13961/j.cnki.stbctb.2001.05.003
[32] 王瑞丰, 翟延亮, 张宝君, 等. 基于GIS与AHP耦合技术的承德地区地质灾害危害性评价[J]. 现代地质, 2023, 37(4): 1023-1032. [WANG Ruifeng, ZHAI Yanliang, ZHANG Baojun, et al. Evaluation of geological disaster in Chengde area based on GIS and AHP coupling technology [J]. Geoscience, 2023, 37(4): 1023-1032] DOI: 10.19657/j.geoscience.1000-8527.2021.160
[33] 赵魁. 基于ArcGIS平台的广东云浮云安区地质灾害危害程度分区评价[J]. 中国地质灾害与防治学报, 2020, 31(3): 89-95. [ZHAO Kui. The assessment on hazard degree division of geology disaster in Yun’an district based on ArcGIS [J]. The Chinese Journal of Geological Hazard and Control, 2020, 31(3): 89-95] DOI: 10.16031/j.cnki.issn.1003-8035.2020.03.12
[34] 邢立亭, 李净. 基于遥感数据和随机森林算法的黄土高原地区气温模拟及时空变化[J]. 山地学报, 2020, 38(6): 873-880. [XING Liting, LI Jing. Temperature simulation and temporal variation based on remote sensing data and random forest algorithm: A case study in the Loess Plateau region, China [J]. Mountain Research, 2020, 38(6): 873-880] DOI: 10.16089/j.cnki.1008-2786.000563

相似文献/References:

[1]熊传祥,王涛,鲁晓兵,等.降雨作用下崩岗形成细观机理模拟[J].山地学报,2013,(06):710.
　XIONG Chuanxiang,WANG Tao,LU Xiaobing.Mesomechanical Simulation of Slope Disintegration Erosion Under Rainfall[J].Mountain Research,2013,(3):710.
[2]王彦华,谢先德,王春云.风化花岗岩崩岗灾害的成因机理[J].山地学报,2000,(06):496.
[3]阮伏水.福建省崩岗侵蚀与治理模式探讨[J].山地学报,2003,(06):675.
[4]谢小康,范国雄.广东五华乌陂河流域崩岗发育规律及其治理——以迎龙山为例[J].山地学报,2010,(03):294.
[5]季翔,黄炎和*,林金石,等.崩岗侵蚀沟的时空侵蚀特征及预测[J].山地学报,2019,(01):86.[doi:10.16089/j.cnki.1008-2786.000402]
　JI Xiang,HUANG Yanhe*,LIN Jinshi,et al.Spatio-temporal Erosion Features and Prediction for the Erosion Gullies on Collapsing Hills[J].Mountain Research,2019,(3):86.[doi:10.16089/j.cnki.1008-2786.000402]
[6]管家琳a,黄炎和a,林金石a,等.基于信息量模型与随机森林模型的崩岗风险对比评估[J].山地学报,2021,(4):539.[doi:10.16089/j.cnki.1008-2786.000618]
　GUAN Jialina,HUANG Yanhea,LIN Jinshia,et al.Comparisons Between Benggang Risk Assessments Based on Information Model and Random Forest Model[J].Mountain Research,2021,(3):539.[doi:10.16089/j.cnki.1008-2786.000618]

备注/Memo

备注/Memo:
收稿日期(Received date): 2024- 01-18; 改回日期(Accepted date):2024- 06- 04
基金项目(Foundation item): 国家自然科学基金( 41601557); 自然资源部创新中心资助项目(KY090000042021007); 福建农林大学杰出青年科研人才计划(XJQ201933)。[National Natural Science Foundation of China(41601557); Innovation Center of Ministry of Natural Resources(KY090000042021007); Outstanding Young Scientific Research Talents Program of Fujian Agriculture and Forestry University(XJQ201933)]
作者简介(Biography): 林小慧(1998-),女,福建三明人,硕士研究生,主要研究方向:土地资源可持续利用。[LIN Xiaohui(1998-), female, born in Sanming, Fujian province, M.Sc. candidate, research on sustainable utilization of land resources] E-mail:735657257@qq.com
*通讯作者(Corresponding author): 季翔( 1984-),女,博士,副教授,主要研究方向:土地可持续利用、土壤侵蚀与风险评价。 [JI Xiang(1984-), female, Ph.D., associate professor, research on sustainable utilization of land resources, soil erosion and risk assessment] E-mail: jixiangss@126.com
更新日期/Last Update: 2024-05-30