Control of territorial space in mountainous urban areas based on risk assessment of geological disasters: A case study of the "9·02" debris flow disaster in Malipo county
-
摘要: 文章以云南省麻栗坡县“9·02”泥石流灾害为例,为研究降雨群发性地质灾害的国土空间管控,以地质灾害地面调查为基础,采用模糊综合评价法定量开展泥石流灾害危险性评价。2018年9月2日凌晨3–4时麻栗坡县猛硐乡暴发特大山洪泥石流灾害,猛硐乡政府驻地城镇区受灾严重。该泥石流为一低频黏性泥石流沟,泥石流物源主要为中上游的降雨群发性滑坡体、沟岸坍塌物及沟床物质,泥石流堆积物在城镇区淤积方量达100×104 m3。泥石流灾害的形成条件与地形、物源、水动力作用密切相关,物源类型以滑坡为主,约占总量的98%。降雨诱发滑坡数量达614处,滑坡体物质及树木为泥石流灾害的形成提供大量松散物质来源,滑坡体上的高大树木阻塞沟道的宣泄导流,加大了沟道侵蚀作用,放大了泥石流灾害的成灾后果。采用形态调查法计算泥石流流量的结果更符合灾害实际。将地质灾害风险管控各项措施融入国土空间管控,科学部署治理措施,以山区城镇国土空间分区为依据,定量划定了泥石流的冲击区域为禁建区、波及范围内区域为限建区、治理后安全区域为宜建区。Abstract:
Mountainous areas in West China are most severely threatened by geological disasters. With the rapid development of mountainous cities and towns, there is an increased demand for more accurate risk assessments of geological disasters. Especially in recent years, extreme weather events have occurred frequently, accompanied by a sharp rise in local rainfall intensity. Consequently, the risk, damage degree, and losses associated with geological disasters in mountainous cities and towns have escalated. These intense rainfall events and major geological disasters have become more pronounced, making disaster prevention and mitigation more difficult. This study focuses on the territorial space control of group-occurring rainfall-induced geological disasters as its research objective. Based on the ground investigation of geological disasters, the fuzzy comprehensive evaluation method was used to conduct a quantitative risk assessment. The evolutionary characteristics, distribution patterns, and impact intensity of group-occurring rainfall-induced geological disasters were analyzed. Governance measures were scientifically implemented, and suitable, restricted, and prohibited construction zones were accurately proposed according to territorial space zoning of mountainous cities and towns. Macro-control measures,such as source control, active avoidance, proactive prevention and control, as well as localized and intensity-based control of geological disasters,will be refined and implemented. Emphasis will be placed on integrating urban disaster prevention, mitigation resilience, emergency planning, and strategic layout to effectively enhance the capacity of mountainous cities and towns to respond to disasters. Taking the “9·02” debris flow disaster in Malipo county of Yunnan Province as an example, this study examines the disaster triggering mechanisms, risk assessment, and territorial space control of debris flow disasters. Between 3 a.m. and 4 a.m. on September 2, 2018, a catastrophic mountain torrent and debris flow disaster occurred in Mengdong town, Malipo county. The urban area where the township government is located was severely affected. This debris flow is characterized as a low-frequency, viscous debris flow gully. The primary sources of debris flow materials were from group-occurring rainfall-induced landslides, gully bank collapses, and gully bed materials from the middle and upper reaches. The volume of debris flow deposits in the urban area was 100×104 m3. The formation conditions of debris flow disasters are closely related to topography, provenance, and hydrodynamic effect. According to the investigation, the total volume of solid movable materials for the “9·02” debris flow is 384.4×104 m3, including 180.4×104 m3 from the Mengdonghe River, 165.2×104 m3 from Shuichongxiang Gully, and 38.8×104 m3 from Xiangcaopeng Gully. The provenance type is mainly landslide, accounting for about 98% of the total. There are 614 landslides induced by rainfall, with the landslide masses primarily being small in size. Landslide materials and trees provide abundant loose material sources that contribute to the formation of debris flow disasters. Tall trees on the landslide obstruct the drainage and diversion of the gully, which increases gully erosion and exacerbates the consequences of debris flow disasters. The debris flow discharge is calculated and compared by the morphological investigation method and rain flood method, respectively. The calculation result from the morphological investigation method is slightly higher than that from rain-flood method for a 100-year return period, and the calculation result from the morphological investigation method aligns more closely with the actual disaster. Through a refined investigation process, this study provides a foundation for the territorial space control in Mengdong town. It examines the distribution, characteristics, stability, and susceptibility of unstable disaster-prone bodies. The fuzzy comprehensive evaluation method is used to quantitatively assess the risk of debris flow. It is necessary to fully consider the risk level, degree of harm, and recurrence frequency of geological disasters, while allocating sufficient space for debris flood channels and ultra-high sidewall protections in curves to ensure the safety of cities and towns. This approach integrates various measures of geological disaster risk management and control into territorial space planning, aiming to eliminate or mitigate geological disaster risks at their source. Future studies can focus on the coupling relationship between geological environment carrying capacity and urban development, ecological protection, resource security, and related factors. In the management and control of territorial space, it is essential to coordinate economic and social development, urban construction intensity, restoration and utilization for territorial space, emergency response, and other activities to achieve comprehensive management and control and harmonious development between people and land. The impact area of debris flow can be scientifically and quantitatively defined into three zones: the forbidden area, the restricted area within the affected zone, and the safe area after treatment. Key aspects of territorial space management and control in mountainous cities and towns include disaster source management and control, reasonable avoidance, early prevention and control, and ensuring sufficient space. Additionally, the resilience of cities and towns to disasters must be strengthened. -
表 1 “9·02”泥石流沟床堆积类物源估算表
Table 1. Estimations for accumulation sources from debris flow gully bed of the "9·02 " disaster
泥石流沟
名称松散堆积
平均宽度/m沟道松散堆积层
长度/m沟床堆积物平均
厚度/m松散固体物质
储量/104 m3可移动
百分比/%可移动量/
104 m3猛硐河 15 2350 1.2 4.23 95 4.02 水冲香 15 1833 1.0 2.75 95 2.61 香草棚 7 552 0.9 0.35 95 0.33 小计 4735 7.33 6.96 表 2 3条泥石流沟坡面物源估算表
Table 2. Estimations for material sources from the slopes of three debris flow gullies
泥石流沟名称 坡面侵蚀
分区分区面积/
km2侵蚀模数/
t·km−2·a−1干密度/
t·m−3泥石流固体物源
储量/104 m3·a−1可移动
百分比/%年限/a 合计/
104 m3·a−1可移动量/
104 m3·a−1水冲香沟 剧烈 1.44 37000 1.49 3.576 70 30 127.60 77.13 中度 3.21 2600 1.33 0.628 10 轻度 1.33 500 1.33 0.050 10 香草棚沟 剧烈 0.23 37000 1.49 0.571 70 30 20.48 12.33 中度 0.57 2600 1.33 0.111 10 轻度 0.00 500 1.33 0.00 10 猛硐河沟 剧烈 2.14 37000 1.49 1.044 70 30 68.84 48.19 中度 1.75 2600 1.33 0.355 10 轻度 8.81 500 1.33 0.896 10 合计 19.48 7.231 216.92 137.65 表 3 沟道滑坡物源估算表
Table 3. Estimations for material sources from gully landslides
泥石流沟名称 滑坡/
处9·02泥石流 后期泥石流 固体物储量/
104 m3可移动量/
104 m3固体物储量/
104 m3可移动量/
104 m3猛硐河沟 315 229.74 176.39 107.31 73.01 水冲香沟 239 188.74 162.60 79.65 65.87 香草棚沟 60 45.96 38.47 19.51 15.72 合计 614 464.44 377.46 206.47 154.60 表 4 形态调查法与雨洪法泥石流流量计算成果比对表
Table 4. Comparison for calculation results of debris flow discharge by morphological survey method and rain-flood method
沟名 位置 槽断面
面积W/m2流速
$ {V_c} $/m·s−1泥石流峰值流量$ {Q_c} $/m3·s−1 形态调查法与
雨洪法的百分比/%形态调查法(实际) 雨洪法(100年一遇) 水冲香 流通区 55 3.61 198.80 187.14 106.23 形成区 40 5.31 212.29 141.35 150.19 香草棚 流通区 29 3.17 91.91 57.27 160.47 形成区 20 4.73 94.59 55.90 169.22 猛硐河 流通区 65 4.10 266.37 274.25 97.13 形成区 38 6.50 243.88 251.60 96.93 表 5 主要工程布设简表
Table 5. Main engineering layout
流域 措施 主要工程布设及效用 猛硐河沟泥石流 拦挡坝 猛硐河沟泥石流中、下游沟道纵坡较缓,且已有排导防护工程,主沟道内防护工程布设空间不足。因此,拦挡坝主要布设在沟道上游物源丰富、拦挡条件较好的上游3条支沟及右侧2条支沟,共计19座,以拦挡支沟运移下来的泥砂,抵御支沟泥石流,并防止主沟泥石流沟道物源进一步启动引发更大规模的泥石流 谷坊坝 猛硐河沟泥石流谷坊坝主要布设在上游4条支沟及右侧2条支沟,共计27座,主要用以拦蓄泥砂,形成回淤区,反压两侧谷岸边坡,增加边坡稳定性,减小沟道内物源,减弱泥石流爆发风险 排导槽 猛硐河沟泥石流流域内已有水利部门建成并运营的排导系统,效果可满足泥石流排导要求,仅在泥石流沟谷左侧下游处新建排导槽,以保护两侧居民、变电站及后期拟建村庄 香草棚沟泥石流 拦挡坝 根据物源条件、地形条件等综合考虑,拦挡坝主要布设在主沟沟道与右侧两条支沟沟口处,共4座,以拦挡支沟运移下来的泥砂,并防止主沟泥石流沟道物源进一步启动诱发更大规模泥石流 谷坊坝 香草棚沟泥石流上游主沟沟道及支沟纵坡相对较大,下蚀作用及侧蚀作用强烈,为减缓沟谷下蚀,减小沟道内物源来源,减弱泥石流爆发风险,共布设5座谷坊坝 排导槽 香草棚沟泥石流下游流经集镇核心区,建筑密集,且与315县道交汇,该段布设“V”型排导槽,以疏导洪水,排出泥砂,防止泥石流对集镇造成损毁 填方护岸 结合场址灾后恢复重建规划,并考虑泥石流排导槽的稳定性及场址边坡的稳定性,在排导槽两侧布设填方护岸工程,以平整场地、固坡并增加排导槽的稳定性 水冲香沟泥石流 拦挡坝 水冲香沟泥石流拦挡坝主要布设在主沟沟道,共计12座,以拦挡支沟运移下来的泥砂,并防止主沟泥石流沟道物源进一步启动诱发更大规模泥石流 谷坊坝 水冲香沟泥石流谷坊坝主要布设在各支沟上游,共计12座,主要拦蓄泥砂,并形成回淤区,反压两侧谷岸边坡,增加边坡稳定性,减少沟道内物源,减弱泥石流爆发风险 排导槽 水冲香沟泥石流下游流经猛硐乡集镇,且后期规划有居民区及其他配套设施,该段布设“V”型排导槽,以疏导洪水,排出泥砂,防止泥石流淤积溢流,对集镇造成损毁 填方护岸 结合场址灾后恢复重建规划,并考虑泥石流排导槽的稳定性及场址边坡的稳定性,在排导槽两侧布设填方护岸工程,以平整场地、固坡并增加排导槽的稳定性 -
[1] 王宇, 张华, 张贵, 王波, 彭淑惠, 何绕生, 周翠琼. 喀斯特断陷盆地环境地质分区及功能[J]. 中国岩溶, 2017, 36(3): 283-295. doi: 10.11932/karst20170316WANG Yu, ZHANG Hua, ZHANG Gui, WANG Bo, PENG Shuhui, HE Raosheng, ZHOU Chuiqiong. Zoning of environmental geology and functions in karst fault-depression basins[J]. Carsologica Sinica, 2017, 36(3): 283-295. doi: 10.11932/karst20170316 [2] 王宇, 黄成, 周翠琼, 杨迎冬, 肖华宗, 晏祥省, 张令泽, 王裕琴. 山区地质灾害应急调查的内涵及方法分析评述[J]. 中国岩溶, 2020, 39(4): 492-499.WANG Yu, HUANG Cheng, ZHOU Cuiqiong, YANG Yingdong, XIAO Huazong, YAN Xiangsheng, ZHANG Lingze, WANG Yuqin. Review on the connotation and methods of emergency investigations to geological hazards in mountainous area[J]. Carsologica Sinica, 2020, 39(4): 492-499. [3] B Tong, Y Li, X Yang, C Yin, X Qu, H Fang, B Han, Y Zhang.The development and application of China national landslide database and information system[J]. Arabian Journal Of Geosciences, 2021, 14(6):1-12. [4] Y Yin, B Li, Y Gao, W Wang, S Zhang, N Zhang. Geostructures, dynamics and risk mitigation of high-altitude and long-runout rockslides[J]. Journal of Rock Mechanics and Geotechnical Engineering, 2023, 15 (1) : 66−101. [5] 张宪政, 铁永波, 宁志杰, 杨昶, 李宗亮, 李明辉, 梁京涛, 卢佳燕, 鲁拓, 李光辉, 李果, 向炳霖. 四川汶川县板子沟“6·26”特大型泥石流成因特征与活动性研究[J]. 水文地质工程地质, 2023, 50(5): 134-145.ZHANG Xianzheng, TIE Yongbo, NING Yongjie, YANG Chang, LI Zhongliang, LI Minghui, LIANG Jingtao, LU Jiayan, LU Tuo, LI Guanghui, LI Guo, XIANG Binglin. Characteristics and activity analysis of the catastrophic “6·26” debris flow in Banzi catchment, Wenchuan County, Sichuan Province[J]. Hydrogeology & Engineering Geology, 2023, 50(5): 134-145. [6] 张楠, 魏云杰. 四川省盐源县小河沟泥石流灾害调查研究[J]. 水文地质工程地质, 2016, 43(6): 148-153.ZHANG Nan, WEI Yunjie. Investigation of Xiaohegou debris flow in Yanyuan county, Sichuan Province[J]. Hydrogeology & Engineering Geology, 2016, 43(6): 148-153. [7] A Mondini, F Guzzetti, M Melillo. Deep learning forecast of rainfall-induced shallow landslides[J].Nature Communications, 2023,14: 2466. [8] 侯圣山, 曹鹏, 陈亮, 冯振, 王立朝, 李昂, 刘军友, 李阳光, 郑浩. 基于数值模拟的耳阳河流域泥石流灾害危险性评价[J]. 水文地质工程地质, 2021, 48 (2): 143-151.HOU Shengshan, CAO Peng , CHEN Liang , FENG Zhen , WANG Lichao , LI Ang , LIU Junyou , LI Yangguang , ZHENG Hao. Debris flow hazard assessment of the Eryang River watershed based on numerical simulation [J]. Hydrogeology & Engineering Geology, 2021, 48 (2): 143-151. [9] 卢泓杏, 赵宇鸾. 基于生态安全格局的岩溶山地国土空间生态修复关键区识别: 以贵州省关岭县为例[J]. 中国岩溶, 2024, 43(2): 349-363. doi: 10.11932/karst2024y017LU Hongxing, ZHAO Yuluan. Identification of key areas for the ecological restoration of karst mountainous territorial space based on the construction of ecological security pattern: A case study of Guanling, Guizhou Province[J]. Carsologica Sinica, 2024, 43(2): 349-363. doi: 10.11932/karst2024y017 [10] 章少嘉, 刘志安. 基于泥石流灾害防治视角下的小城镇规划: 以麻栗坡县“9.02特大泥石流灾害”猛硐乡灾后重建规划为例[A]. 活力城乡 美好人居——2019中国城市规划年会论文集(01城市安全与防灾规划)[C]. 中国城市规划学会、重庆市人民政府, 中国城市规划学会, 2019.ZHANG Shaojia, LIU Zhian. Small town planning based on the perspective of debris flow disaster prevention and control: Taking the post disaster reconstruction planning of Mengdong township in Malipo county, China, as an example[A]. Vitality of Urban and Rural Living-Proceedings of the 2019 China Urban Planning Annual Conference (01 Urban Safety and Disaster Prevention Planning ) [C]. Urban Planning Society of China, Chongqing Municipal People's Government, Urban Planning Society of China, 2019. [11] 云南地质工程勘察设计研究院, 云南省麻栗坡“9.02”特大山洪泥石流灾害: 猛硐乡政府驻地水冲香、香草棚泥石流应急勘查及治理工程可行性研究报告[R]. 2019. [12] 云南地质工程勘察设计研究院.文山州麻栗坡县猛硐乡政府驻地猛洞河泥石流勘查及治理工程可行性研究报告[R]. 2020. [13] 陈志, 杨志全, 刘传秋. 云南省麻栗坡县猛硐河“9.02”泥石流调查[J]. 山地学报, 2019, 37(4): 631-638.CHEN Zhi, YANG Zhiquan, LIU Chuanqiu. Investigation of the"9.02” debris flows in Mengdong river, Malipo county, Yunnan, China[J]. Mountain Research, 2019, 37(4): 631-638. [14] 李倩. 云南猛硐瑶族乡泥石流运动过程数值模拟及风险评估研究[D]. 昆明: 昆明理工大学, 2021.LI Qian. Numerical simulation and risk assessment of debris flow movement process in Mengdong Yao Township, Yunnan Province[D]. Kunming: Kunming University Technologyof and Science, 2021. [15] Y Li, X Xie, B Jin, L Chen, X Liang, K Yin. Comprehensive risk management of reservoir landslide-tsunami hazard chains: A case study of the Liang shuijing landslide in the Three Gorges Reservoir area[J].Landslides, 2024, 18: 667−680. [16] 黄海, 刘建康, 杨东旭. 泥石流容重的时空变化特征及影响因素研究[J]. 水文地质工程地质, 2020, 47 (2): 161-168.HUANG Hai, LIU Jiankang , YANG Dongxu. A study of the characteristics and influencing factors of spatial-temporal changes in the debris flow density [J]. Hydrogeology & Engineering Geology, 2020, 47 (2): 161-168. [17] 齐干, 张长敏. 达摩沟泥石流形成的物质条件分析及防治对策[J]. 水文地质工程地质, 2011, 38(5): 102-109.QI Gan, ZHANG Zhangmin. Analysis on material conditions causing to debris blow and its control countermeasures in Boddhidharma Trench[J]. Hydrogeology & Engineering Geology, 2011, 38(5): 102-109. [18] 李芳涛, 李华明, 胡志平, 陈南南, 晏长根. 峨汉高速廖山隧道岩溶发育规律及其工程效应浅析[J]. 中国岩溶, 2020, 39(4): 592-603.LI Fangtao, LI Huangming, HU Zhiping, CHEN Nannan, YAN Changgen. Features of karst development and geotechnical effects in the Liaoshan Tunnel on the E-Han expressway[J]. Carsologica Sinica, 2020, 39(4): 592-603. [19] 郭静芸, 李守定, 李滨, 李晓, 毕鑫涛, 方然可. 岩溶山区崩滑灾害变形破坏地质模式分类[J]. 中国岩溶, 2020, 39(4): 478-491.GUO Jingyun, LI Shouding, LI Bin, LI Xiao, BI Xingtao, FANG Ranke. Geological models classification of deformation and failures for collapses and landslides in karst mountainous areas[J]. Carsologica Sinica, 2020, 39(4): 478-491. [20] 贺凯, 李滨, 赵超英, 高杨, 陈立权, 刘朋飞. 基于易滑地质结构与多源数据差异的岩溶山区大型崩滑灾害识别研究[J]. 中国岩溶, 2020, 39(4): 467-477.HE Kai, LI Bin, ZHAO Chaoying, GAO Yang, CHEN Liquan, LIU Pengfei. Identification of large-scale landslide hazards based on differences of geological structure prone to sliding and multiple-source data in karst mountainous areas[J]. Carsologica Sinica, 2020, 39(4): 467-477. [21] 程鹏翔, 李宗发. 贵州武陵山区中二叠统崩塌地质灾害形成机理研究[J]. 中国岩溶, 2019, 38(4): 565-572. doi: 10.11932/karst20190414CHENG Pengxiang, LI Zongfa. Mechanism of geological hazards in the middle Permian collapse in the Wulingshan mountains of Guizhou Province[J]. Carsologica Sinica, 2019, 38(4): 565-572. doi: 10.11932/karst20190414 [22] 刘德玉, 贾贵义, 李松, 丛凯, 张伟. 地形因素对白龙江流域甘肃段泥石流灾害的影响及权重分析[J]. 水文地质工程地质, 2019, 46(3): 33-39.LIU Deyu, JIA Guiyi, LI Song, CONG Kai, ZHANG Wei. Impacts of topographical factors on debris flows and weight analysis at the Gansu segment of the Bailongjiang River Basin[J]. Hydrogeology & Engineering Geology, 2019, 46(3): 33-39. [23] 张宗胜. 佛山黄岐海北片区岩溶地面塌陷地质灾害成因与趋势分析[J]. 中国岩溶, 2022, 41(6): 880-894. doi: 10.11932/karst20220603ZHANG Zongsheng. Origin and trend analysis of karst collapse in Huangqi and Haibei communities, Foshan City[J]. Carsologica Sinica, 2022, 41(6): 880-894. doi: 10.11932/karst20220603 [24] 高波, 张佳佳, 王军朝, 陈龙, 杨东旭. 西藏天摩沟泥石流形成机制与成灾特征[J]. 水文地质工程地质, 2019, 46(5): 144-153.GAO Bo, ZHANG Jiajia, WANG Junchao, CHEN Long, YANG Dongxu. Formation mechanism and disaster characteristics of debris flow in the Tianmo gully in Tibet[J]. Hydrogeology & Engineering Geology, 2019, 46(5): 144-153. [25] 李军, 褚宏亮, 李滨, 贺凯, 高杨. 西南煤系地层山区采动型崩滑灾害研究关键问题[J]. 中国岩溶, 2020, 39(4): 453-466.LI Jun, CHU Hongliang, LI Bin, HE Kai, GAO Yang. Key scientific issues in research on landslide hazard induced by underground mining in mountainous areas with coal-bearing strata of southwestern China[J]. Carsologica Sinica, 2020, 39(4): 453-466. [26] 高浩源, 高杨, 贺凯, 李滨, 赵志男, 陈立川, 王永甫. 贵州水城“7.23”高位远程滑坡冲击铲刮效应分析[J]. 中国岩溶, 2020, 39(4): 535-546.GAO Haoyuan, GAO Yang, HE Kai, LI Bin, ZHAO Zhinan, CHEN Lichuan, WANG Yongfu. Impact and scraping effects of the high-elevation,long-runout "7.23" landslide in Shuicheng , Guizhou[J]. Carsologica Sinica,2020, 39(4): 535-546. [27] 张以晨, 秦胜伍, 翟健健, 李广杰, 彭帅英, 刘绪, 陈骏骏. 基于信息量的长白山地区泥石流易发性评价[J]. 水文地质工程地质, 2018, 45(2): 150-158.ZHANG Yichen, QIN Shengwu, ZHAI Jianjian, LI Guangjie, PENG Shuaiying, LIU Xu, CHEN Junjun. Susceptibility assessment of debris flow based on GIS and weight information for the Changbai mountain area[J]. Hydrogeology & Engineering Geology, 2018, 45(2): 150-158. [28] 王新伟, 张漓黎, 莫德科, 叶宗达, 江凡. 基于信息量和多层感知机分类器模型耦合的平果市斜坡类地质灾害易发性评价[J]. 中国岩溶, 2023, 42(2): 370-381. doi: 10.11932/karst20230208WANG Xinwei, ZHANG Lili, MO Deke, YE Zongda, JIANG Fan. Hillslope geo-hazard susceptibility assessment in Pingguo City based on coupling of CF information value and MLPC classifier model[J]. Carsologica Sinica, 2023, 42(2): 370-381. doi: 10.11932/karst20230208 [29] 黄成, 邓云龙, 晏祥省, 周鑫城. 基于多模型的滑坡易发性评估研究[J]. 中国岩溶, 2024, 43(6): 1386-1397. doi: 10.11932/karst20240615HUANG Cheng, DENG Yunlong, YAN Xiangsheng, ZHOU Xincheng. A study on multiple-model evaluation of landslide susceptibility[J]. Carsologica Sinica, 2024, 43(6): 1386-1397. doi: 10.11932/karst20240615 [30] 曹禄来, 徐林荣, 陈舒阳, 接小峰. 基于模糊神经网络的泥石流危险性评价[J]. 水文地质工程地质, 2014, 41(2): 143-147.CAO Lulai, XU Ronglin, CHEN Shuyang, JIE Xiaofeng. Assessment of debris flow hazard based on Fuzzy Neutral Network[J]. Hydrogeology & Engineering Geology, 2014, 41(2): 143-147. [31] 李 浩, 杨 强, 罗 旋, 王兵虎, 邵长庆, 王思源, 乐琪浪. 贵安新区生态新城岩溶区地下空间利用适宜性评价[J]. 中国岩溶, 2024, 43(1): 176-187. doi: 10.11932/karst2021y38LI Hao, YANG Qiang, LUO Xuan, WANG Binghu, SHAO Changqing, WANG Siyuan, LE Qilang. Suitability evaluation of utilizing urban underground space in the karst area in Gui'an New Area[J]. Carsologica Sinica, 2024, 43(1): 176-187. doi: 10.11932/karst2021y38 [32] 张卫锋, 张 杰, 丁中开, 康晓波, 张汝祥. 云南城镇化建设中地质环境保护与利用对策研究[J]. 中国岩溶, 2024, 43(6): 1408-1421. doi: 10.11932/karst20240617ZHANG Weifeng, ZHANG Jie, DING Zhongkai, KANG Xiaobo, ZHANG Ruxiang. Measures for the protection and utilization of geo-environment during the urbanization in Yunnan[J]. Carsologica Sinica, 2024, 43(6): 1408-1421. doi: 10.11932/karst20240617 -
下载: