Geological hazard risk assessment and suggestions for risk control in Chaya County, eastern Xizang
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摘要:
以藏东察雅县城为研究区，选取高程、坡度、坡形、坡向、斜坡结构、地层、距断层距离共7个评价指标，运用证据权重法，构建了地质灾害易发性评价模型。以4种降雨频率（10%、5%、2%、1%）下的年最大日降雨量作为动态诱发因子，建筑、人口和交通设施作为承灾体，评价地质灾害的动态风险性。结果表明，研究区斜坡以中、低风险为主，围绕县城场镇两侧的斜坡出现少量高风险和极高风险区。随着降雨频率的降低，区内高风险区、极高风险区面积最大增长5.34%和0.07%；低风险区、中风险区面积最大变化幅度分别为28.33%和23.32%。基于风险评价结果，提出考虑不同降雨频率的地质灾害风险源头管控方法，具体为：针对10%、5%、2%和1% 不同降雨频率下的极高风险区，建议分别采取工程治理、工程治理/专业监测、专业监测、专业监测/群专结合的管控手段；针对1%降雨频率下的高风险与中风险区，建议采取群专结合与群测群防。该风险管控体系考虑了不同降雨频率下斜坡的动态风险，可提高山区城镇地质灾害风险的管控精细化水平。
Abstract:Chaya County in eastern Xizang was selected as the research area for the susceptibility assessment of geological disasters. Seven evaluation indexes, including elevation, slope grade, slope form, slope direction, slope structure, stratum, and distance from fault, were selected to construct an evaluation model of geological disaster susceptibility using the evidence weight method. Using the annual maximum daily rainfall under four rainfall frequencies (10%, 5%, 2%, 1%) as the dynamic inducing factor and building population and transportation facilities as the hazard bearing body, the dynamic risk of geological hazards in the town was evaluated. The results show that except for the small slopes on both sides of the county town, which were mainly high-risk and extremely high-risk areas, other areas in the research area were mainly medium and low-risk areas. As the frequency of rainfall decreased, the areas of high-risk and extremely high-risk areas increased by a maximum of 5.34% and 0.07%, respectively, while the areas of low-risk and medium-risk areas changed by a maximum of 28.33% and 23.32%, respectively. Based on the risk assessment results, a method for controlling the source of geological hazard risk considering different rainfall frequencies was proposed. Specifically, for the extremely high-risk areas under the four rainfall frequencies of 10%, 5%, 2% and 1%, it is recommended to adopt engineering management, engineering management/professional monitoring, professional monitoring, and professional monitoring/combination of mass monitoring and professional monitoring. For the high-risk and medium-risk areas under a 1% rainfall frequency, the recommended risk control measures were the combination of mass monitoring and professional monitoring, and the combination of mass supervision and mass prevention.The risk management and control system accounted for the dynamic risks of slopes under different rainfall frequencies, which would enhance the management and control of geological hazard risks in mountainous urban areas in a refined manner.
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Key words:
- susceptibility /
- probability /
- risk assessment /
- risk control /
- Chaya County
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表 1 研究区承灾体易损性赋值表
Table 1. Vulnerability assessment table for hazard-bearing bodies in the study area
承灾体类型 分类 易损性 对应属性字段 对应属性 建筑及
人口类型>1000人 0.9 类型 密集多层居住区 0.9 类型 医院 0.9 类型 学校 100~1000人 0.8 类型 密集低矮居住区 0.7 类型 寺庙 0.6 类型 加油站 0.8 类型 行政办公区 10~100人 0.4 类型 基础设施区 0.2 类型 一般居住区 0.3 类型 商业设施区 <10人 0.1 类型 临时居住区 0.1 类型 农业区 0.1 类型 荒地区 0.1 类型 避难场地区 交通设施 县级公路 0.3 GB 420301 专用公路 0.2 GB 420400 其他公路 0.1 GB 420800 城市道路 0.2～0.3 GB 430501、430501 乡村道路 0～0.1 GB 440100、440300 
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表 2 各指标因子间的相关性统计
Table 2. Statistical table for correlation among each index factor
高程 坡度 坡形 坡向 斜坡结构 地层 距断层
距离高程 1 坡度 0.020 1 坡形 0.032 −0.001 1 坡向 0.069 0.168 0.026 1 斜坡结构 0.134 0.128 0.021 0.258 1 地层 −0.316 −0.148 0.079 −0.030 −0.110 1 距断层距离 0.343 0.080 0.023 0.114 0.016 −0.172 1
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表 3 研究区各证据因子权重值表
Table 3. Summary table of weighted values of each featured factor in the study area
影响因子及分级 
高程/m 3000～3500 0.2483 −0.2112 0.4596 3500～4000 −0.1064 0.0935 −0.1999 4000～4500 −0.9514 0.0689 −1.0203 坡度/（°） <10 −0.7271 0.0691 −0.7962 10～20 0.2796 −0.0750 0.3546 20～30 0.1089 −0.0616 0.1705 30～40 0.0396 −0.0146 0.0542 40～50 −0.6449 0.0374 −0.6823 50～60 −1.1721 0.0095 −1.1816 >60 −4.3125 0.0014 −4.3139 坡向 平面 0.5463 −0.0792 0.6256 北 1.5770 −0.2022 1.7792 东北 1.0220 −0.2189 1.2409 东 −0.1133 0.0128 −0.1260 东南 −0.6638 0.0553 −0.7192 南 −2.3082 0.1450 −2.4532 西南 −3.3031 0.1624 −3.4655 西 −1.5441 0.1140 −1.6580 西北 0.2250 −0.0326 0.2575 坡型 凹形 −0.2290 0.0491 −0.2780 凸型 0.1337 −0.2348 0.3685 直线型 −0.2392 0.0546 −0.2938 斜坡结构 河谷 −7.4634 0.0526 −7.5160 顺向飘倾坡 −2.6380 0.0150 −2.6530 顺向层面坡 −0.7848 0.0088 −0.7936 顺向伏倾坡 −0.5073 0.0425 −0.5498 斜顺向坡 −0.5159 0.0577 −0.5737 横向坡 −0.2863 0.0976 −0.3839 斜逆向坡 0.3733 −0.1057 0.4790 逆向坡 0.5425 −0.2225 0.7649 地层 T3d 1.3006 −0.1359 1.4366 J2d −2.5677 0.2464 −2.8140 J2c 0.0000 0.0007 −0.0007 J1w 0.1942 −0.5731 0.7673 
−3.7152 0.0512 −3.7664 距断层距离/m <200 0.5295 −0.0395 0.5690 200～500 0.8501 −0.1114 0.9614 500～1000 0.8722 −0.2073 1.0795 1000～2000 0.4909 −0.1912 0.6820 >2000 −1.6415 0.6672 −2.3087
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表 4 研究区不同降雨频率下的年最大日降雨量估算结果
Table 4. Estimation results of annual maximum daily rainfall under different rainfall frequencies in the study area
P/% KP H24P/mm 1 1.436 55.14 2 1.374 52.76 5 1.286 49.38 10 1.212 46.54
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