Abstract：In view of the high uncertainty, complex emergency decision-making scheme and high implementation cost of environmental emergencies, the authors in this research proposed a emergency decision method for regional environmental emergencies based on grid logistic regression model. The Delphi method is used to select the impact variables of regional environmental emergencies, and a probability calculation model of regional environmental emergencies based on logistic regression model is constructed, with the variables as input. The study area was divided into cell forms, and the regional grades were divided to define the scope of the safety area. Under multiple constraints, the objective function was obtained by using the ant colony algorithm, and the optimal evacuation route was obtained to complete the emergency decision scheme design. The experimental results show that this research method is effective for environmental emergencies, and the duration between model establishment and people evacuation is about half an hour. This short time-consuming means the emergency decision is effective for regional environmental emergencies, which would ensure the safety of personnel and property. This research has guiding significance for the prevention and control of regional environmental emergencies.
[1] 刘红岩,张小趁,李俊峰,等.基于突发地质灾害应急防治的边(滑)坡分类方法[J].防灾减灾工程学报,2021,41(2):193-202,237. Liu H Y,Zhang X C,Li J F,et al.Slope (Landslide) classification method based on emergency prevention of sudden geological disaster[J].Journal of Disaster Prevention and Mitigation Engineering,2021,41(2):193-202,237. [2] 方然可,刘艳辉,苏永超,等.基于逻辑回归的四川青川县区域滑坡灾害预警模型[J].水文地质工程地质,2021,48(1):181-187. Fang R K,Liu Y H,Su Y C,et al.A early warning model of regional landslide in Qingchuan County,Sichuan Province based on logistic regression[J].Hydrogeology & Engineering Geology,2021,48(1):181-187. [3] 魏斌,梁佳,薛丽洋,等.甘肃省2011-2019年突发环境事件特征及防控对策[J].西北师范大学学报:自然科学版,2021,57(6):124-130. Wei B,Liang J,Xue L Y,et al.Characteristics of environmental emergencies in Gansu Province from 2011 to 2019 and prevention and control countermeasures[J].Journal of Northwest Normal University (Natural Science Edition),2021,57(6):124-130. [4] 张以飞,付丽洋,毕军,等.江苏工业园区突发环境事件风险评估体系研究[J].环境污染与防治,2020,42(11):1430-1435. Zhang Y F,Fu L Y,Bi J,et al.Research on the risk assessment system of environmental emergencies in industrial parks of Jiangsu Province[J].Environmental Pollution & Control,2020,42(11):1430-1435. [5] 王思,张志娇,余璇,等.基于网格化的区域突发环境事件风险分区研究[J].环境科学与技术,2021,44(5):220-228. Wang S,Zhang Z J,Yu X,et al.Risk zoning of regional environmental emergency based on gridded method[J].Environmental Science & Technology,2021,44(5):220-228. [6] 陈朝亮,彭树宏,钱静,等.基于AHP-Logistic熵权模型的西南浅丘区地质灾害分布特征研究——以内江市为例[J].长江科学院院报,2020,37(2):55-61. Chen C L,Peng S H,Qian J,et al.Distribution characteristics of geological hazards in southwestern shallow hill based on AHP-logistic entropy combined weight model:A case study of Neijiang City[J].Journal of Yangtze River Scientific Research Institute,2020,37(2):55-61. [7] 许强,彭大雷,何朝阳,等.突发型黄土滑坡监测预警理论方法研究——以甘肃黑方台为例[J].工程地质学报,2020,28(1):111-121. Xu Q,Peng D L,He C Y,et al.Theory and method of monitoring and early warning for sudden loess landslide:A case study of Heifangtai Terrace[J].Journal of Engineering Geology,2020,28(1):111-121. [8] 周定义,左小清,喜文飞,等.联合SBAS-InSAR和PSO-BP算法的高山峡谷区地质灾害危险性评价[J].农业工程学报,2021,37(23):108-116. Zhou D Y,Zuo X Q,Xi W F,et al.Combined SBAS-InSAR and PSO-BP algorithm for evaluating the risk of geological disasters in alpine valley regions[J].Transactions of the Chinese Society of Agricultural Engineering,2021,37(23):108-116. [9] 杨顺,常晁瑜,李孝波,等.基于Logistic回归模型的黄土斜坡地震稳定性快速评判方法[J].地震工程学报,2020,42(2):512-516. Yang S,Chang C Y,Li X B,et al.Quick assessment of the seismic stability of loess slopes based on a logistic regression model[J].China Earthquake Engineering Journal,2020,42(2):512-516. [10] 覃乙根,杨根兰,江兴元,等.基于确定性系数模型与逻辑回归模型耦合的地质灾害易发性评价——以贵州省开阳县为例[J].科学技术与工程,2020,20(1):96-103. Qin Y G,Yang G L,Jiang X Y,et al.Geohazard susceptibility assessment based on integrated certainty factor model and logistic regression model for Kaiyang,China[J].Science Technology and Engineering,2020,20(1):96-103. [11] 罗路广,裴向军,黄润秋,等.GIS支持下CF与Logistic回归模型耦合的九寨沟景区滑坡易发性评价[J].工程地质学报,2021,29(2):526-535. Luo L G,Pei X J,Huang R Q,et al.Landslide susceptibility assessment in Jiuzhaigou scenic area with GIS based on certainty factor and logistic regression model[J].Journal of Engineering Geology,2021,29(2):526-535. [12] 李利峰,张晓虎,邓慧琳,等.基于熵指数与逻辑回归耦合模型的滑坡灾害易发性评价——以蓝田县为例[J].科学技术与工程,2020,20(14):5536-5543. Li L F,Zhang X H,Deng H L,et al.Assessment of landslide susceptibility based on coupling model of index of entropy and logistic regression:A case study of Lantian County[J].Science Technology and Engineering,2020,20(14):5536-5543. [13] 田钦,张彪,郭建飞,等.基于信息量和逻辑回归耦合模型的滑坡易发性评价[J].科学技术与工程,2020,20(21):8460-8468. Tian Q,Zhang B,Guo J F,et al.Landslide susceptibility assessment based on the coupling model of information value and logistic regression[J].Science Technology and Engineering,2020,20(21):8460-8468. [14] 龚凌枫,徐伟,铁永波,等.基于数值模拟的城镇地质灾害危险性评价方法[J].中国地质调查,2022,9(4):82-91. Gong L F,Xu W,Tie Y B,et al.Risk assessment on urban geological disaster based on numerical calculation[J].Geological Survey of China,2022,9(4):82-91. [15] 铁永波,孙强,徐勇,等.南方山地丘陵区典型地质灾害成因机制与风险评价[J].中国地质调查,2022,9(4):1-9. Tie Y B,Sun Q,Xu Y,et al.Genetic mechanism and risk assessment of typical geological hazards in mountainous and hilly areas of South China[J].Geological Survey of China,2022,9(4):1-9. [16] 李怡静,胡奇超,刘华赞,等.耦合信息量和Logistic回归模型的滑坡易发性评价[J].人民长江,2021,52(6):95-102. Li Y J,Hu Q C,Liu H Z,et al.Evaluation of landslide susceptibility based on coupling model of information value-logistic regression[J].Yangtze River,2021,52(6):95-102. [17] 莫家乐,叶脉,解光武,等.突发环境事件应急演练场景设计探索[J].四川环境,2020,39(4):161-166. Mo J L,Ye M,Xie G W,et al.Exploration on the scenario design of emergency drill for environmental emergencies[J].Sichuan Environment,2020,39(4):161-166.
2023, Vol. 10 
