郭立军 , 曹霞 , 宋剑 . 化学事故危害后果评估与应急救援的辅助决策系统设计 [J ] . 中国安全生产科学技术 , 2011 , 7 ( 6 ): 33 - 37 .

GUO L J , CAO X , SONG J . Design of auxiliary decision-making system for chemical accident hazard consequence assessment and emergency rescue [J ] . Journal of Safety Science and Technology , 2011 , 7 ( 6 ): 33 - 37 . (in Chinese)

王奋伟 , 梁赤勇 , 王男 . 核生化灾害模拟与仿真技术与装备研究综述 [C ] //第一届中国指挥控制大会论文集 . 北京 : 中国指挥与控制学会 , 2013 : 650 - 653 .

WANG F W , LIANG C Y , WANG N . Review on simulation technology and equipment research of nuclear, biological and chemical disaster [C ] //Proceedings of the First China Command and Control Conference . Beijing : Chinese Institute of Command and Control , 2013 : 650 - 653 .

韩朝帅 , 诸雪征 , 顾进 , 等 . 核化危害源项反演技术现状及研究展望 [J ] . 化工环保 , 2021 , 41 ( 2 ): 146 - 155 . DOI: 10.3969/j.issn.1006-1878.2021.02.004 http://doi.org/10.3969/j.issn.1006-1878.2021.02.004 源项反演对缓解和遏制核化危害源、精准预测核化危害时空传输和扩散情况、辅助作战行动和保障决策等具有十分重要的意义。本文从源项反演应用平台和源项反演关键算法（包括欧拉方法、拉格朗日方法、深度学习等）两个方面,对国内外核化危害源项反演技术的现状和二者间的差距进行了总结与分析。研究指出,利用深度学习提高反演精度和速率、从单污染源到多污染源的拓展、定性与定量混合反演将成为该领域发展的重点。

HAN C S , ZHU X Z , GU J , et al . Current situation and research prospect on source term inversion technology of nuclear and chemical hazards [J ] . Environmental Protection of Chemical Industry , 2021 , 41 ( 2 ): 146 - 155 . (in Chinese) DOI: 10.3969/j.issn.1006-1878.2021.02.004 http://doi.org/10.3969/j.issn.1006-1878.2021.02.004 Source term inversion is of great significance to mitigate and contain the sources of nuclear and chemical hazards,accurately predict the spatiotemporal transmission and spread of nuclear and chemical hazards,assist combat operations and support decisions. This paper summarizes and analyzes the current situation of source term inversion technology of nuclear and chemical hazards at home and abroad and the gap between them from two aspects：application platform of source term inversion,and key algorithm of source term inversion （including Euler method,Lagrange method,deep learning,etc.）. It is pointed out that using deep learning to improve the inversion accuracy and speed,expanding from single pollution source to multi pollution sources,and qualitative and quantitative hybrid inversion are the focus of development of this field.

李颢青 . 工业有毒气体的溯源模型研究 [D ] . 大连 : 大连理工大学 , 2018 .

LI H Q . Research on the traceability model of industrial toxic gases [D ] . Dalian : Dalian University of Technology , 2018 . (in Chinese)

HK A , ESY B , DS A . Deep neural networks for source tracking of chemical leaks and improved chemical process safety [J ] . Computer Aided Chemical Engineering , 2018 , 44 : 2359 - 2364 .

QIU S H , CHEN B , WANG R X , et al . Atmospheric dispersion prediction and source estimation of hazardous gas using artificial neural network, particle swarm optimization and expectation maximization [J ] . Atmospheric Environment , 2018 , 178 : 158 - 163 . DOI: 10.1016/j.atmosenv.2018.01.056 http://doi.org/10.1016/j.atmosenv.2018.01.056 https://linkinghub.elsevier.com/retrieve/pii/S1352231018300700 https://linkinghub.elsevier.com/retrieve/pii/S1352231018300700

YAN Y T , ZHANG R , WANG J , et al . Modified PSO algorithms with “request and reset” for leak source localization using multiple robots [J ] . Neurocomputing , 2018 , 292 : 82 - 90 . DOI: 10.1016/j.neucom.2018.02.078 http://doi.org/10.1016/j.neucom.2018.02.078 https://linkinghub.elsevier.com/retrieve/pii/S0925231218302455 https://linkinghub.elsevier.com/retrieve/pii/S0925231218302455

KONG Y G , GUAN M , ZHENG S , et al . Locating hazardous chemical leakage source based on cooperative moving and fixing sensors [J ] . Sensors , 2019 , 19 ( 5 ): 1092 . DOI: 10.3390/s19051092 http://doi.org/10.3390/s19051092 https://www.mdpi.com/1424-8220/19/5/1092 https://www.mdpi.com/1424-8220/19/5/1092 In dealing with sudden hazardous chemical leakage accidents, the key to solving the evacuation and transfer of personnel and important property is to determine the location of the leakage source and the information of the source strength to gauge the scope of the impact of leakage. The particle swarm optimization algorithm with an adaptive mutation factor is applied to the inverse calculation of leakage source strength to obtain the leakage source information, and the leakage source location problem is transformed into an optimization problem. The mobile sensor is then introduced into the fixed sensor network. The mobile sensor moving strategy based on an extended Kalman filter is proposed. The estimated value of the previous moment and the current time are used to update the estimation of the state variable, and then the mobile strategy is planned. The interference of the random error of the optimization algorithm on the path planning of the mobile sensor is reduced by introducing the optimized result memory and, thus, location efficiency is improved. Simulation results showed that the proposed method, which combines mobile with fixed sensors, greatly expanded the monitoring function of the network, reduced the number of fixed sensors, and enhanced the positioning accuracy.

MAO S S , LANG J L , CHEN T , et al . Improving source inversion performance of airborne pollutant emissions by modifying atmospheric dispersion scheme through sensitivity analysis combined with optimization model [J ] . Environmental Pollution , 2021 , 284 ( 4/5 ): 117186 . DOI: 10.1016/j.envpol.2021.117186 http://doi.org/10.1016/j.envpol.2021.117186 https://linkinghub.elsevier.com/retrieve/pii/S0269749121007685 https://linkinghub.elsevier.com/retrieve/pii/S0269749121007685

王煜薇 . 基于混合遗传-Nelder Mead单纯形算法的源强及位置反算 [D ] . 北京 : 北京化工大学 , 2011 .

WANG Y W . Estimation of source position and intensity in chemical releases by a combinded Genetic-Nelder Mead simplex algorithm [D ] . Beijing : Beijing University of Chemical Technology , 2011 . (in Chinese)

WANG J L , LIU J J , WANG B , et al . A new method for multi-point pollution source identification [J ] . Atmospheric and Oceanic Science Letters , 2021 , 14 ( 6 ): 56 - 61 .

史阳 . 有毒气体罐车运输泄漏的源强及位置反算研究 [D ] . 兰州 : 兰州交通大学 , 2013 .

SHI Y . Research on back-calculation of source intensity and position of toxic gas dispersion from road tank car [D ] . Lanzhou : Lanzhou Jiaotong University , 2013 . (in Chinese)

陈增强 . 混合遗传—模式搜索算法在毒气泄漏中的源强反算研究 [D ] . 北京 : 北京化工大学 , 2009 .

CHEN Z Q . Research on source inversion problem in the leakage of toxic gases based on hybrid genetic-pattern search algorithm [D ] . Beijing : Beijing University of Chemical Technology , 2009 . (in Chinese)

郑小平 , 陈增强 . 模式搜索算法在毒气泄漏中的源强反算 [J ] . 中国安全科学学报 , 2010 , 20 ( 5 ): 29 - 34 .

ZHENG X P , CHEN Z Q . Back calculation of source strength and location of toxic gases releasing based on Pattern Search method [J ] . China Safety Science Journal , 2010 , 20 ( 5 ): 29 - 34 . (in Chinese) 基于泄漏源下风向的浓度监测数据并结合大气扩散模式建立反算模型,以确定泄漏源的位置和强度.以扩散模式仿真的浓度数据与监测数据的匹配度作为目标函数,将反演问题转化为优化问题,利用模式搜索算法迭代优化.以高斯模型为例验证了算法的可行性,结果表明利用探测器提供的测量浓度值,模式搜索算法能够在较短时间内搜索到最优解,在计算复杂性或时间上较梯度型算法和智能优化算法有一定优势.该算法能够及时而准确地反算出泄漏源强度和位置,为事故的应急响应与救援提供依据.

胡峰 , 郎建垒 , 毛书帅 , 等 . 典型优化目标函数下源参数反演性能对比研究 [J ] . 中国环境科学 , 2021 , 41 ( 5 ): 2081 - 2089 .

HU F , LANG J L , MAO S S , et al . Comparative study on inversion performance of source parameters under typical optimization objective function [J ] . China Environmental Science , 2021 , 41 ( 5 ): 2081 - 2089 . (in Chinese)

BARAD M L . Project prairie grass: a field program in diffusion: AF-152572 [R ] . Bedford , UK : Geophysical Research Air Force Cambridge Research Laboratories , 1958 .

DAI C H , CHEN W R , ZHU Y F , et al . Seeker optimization algorithm for optimal reactive power dispatch [J ] . IEEE Transactions on Power Systems , 2009 , 24 ( 3 ): 1218 - 1231 . DOI: 10.1109/TPWRS.2009.2021226 http://doi.org/10.1109/TPWRS.2009.2021226 http://ieeexplore.ieee.org/document/4912428/ http://ieeexplore.ieee.org/document/4912428/

郑树泉 . 工业智能技术与应用 [M ] . 上海 : 上海科学技术出版社 , 2019 .

ZHENG S Q . Industrial intelligence technology and application [M ] . Shanghai : Shanghai Science and Technology Press , 2019 . (in Chinese)

雷英杰 , 张善文 . MATLAB遗传算法工具箱及应用 [M ] . 西安 : 西安电子科技大学出版社 , 2014 .

LEI Y J , ZHANG S W . Matlab genetic algorithm toolbox and application [M ] . Xi’an : Xidian University Press , 2014 . (in Chinese)

HOOKE R , JEEVES T A . "Direct Search" solution of numerical and statistical problems [J ] . Journal of the Acm , 1961 , 8 ( 2 ): 212 - 229 . DOI: 10.1145/321062.321069 http://doi.org/10.1145/321062.321069 https://dl.acm.org/doi/10.1145/321062.321069 https://dl.acm.org/doi/10.1145/321062.321069

庄正宁 . 环境工程基础 [M ] . 北京 : 中国电力出版社 , 2006 .

ZHUANG Z N . Fundamentals of environmental engineering [M ] . Beijing : China Power Press , 2006 . (in Chinese)

制定地方大气污染物排放标准的技术方法: GB/T 3840—1991 [S ] . 北京 : 国家技术监督局/国家环境保护局 , 1991 .

Technical methods for formulating local air pollutant emission standards:GB/T 3840—1991 [S ] . Beijing : State Bureau of Technical Supervision/State Bureau of Environmental Protection , 1991 . (in Chinese)

周明 , 孙树栋 . 遗传算法原理及应用 [M ] . 北京 : 国防工业出版社 , 1999 .

ZHOU M , SUN S D . Genetic algorithms: theory and application [M ] . Beijing : National Defense Industry Press , 1999 . (in Chinese)

陈增强 . 危险化学品泄漏源的定位研究 [D ] . 北京 : 北京化工大学 , 2013 .

CHEN Z Q . Research on source identification approaches for hazardous chemical releases [D ] . Beijing : Beijing University of Chemical Technology , 2013 . (in Chinese)

崔继宪 . 突发大气污染事故快速溯源与应急评估技术研究及验证 [D ] . 北京 : 北京工业大学 , 2019 .

CUI J X . Research and verification of rapid source traceability and emergency assessment technology for sudden air pollution accidents [D ] . Beijing : Beijing Industry University , 2019 . (in Chinese)

CHANG J C , HANNA S R . Air quality model performance evaluation [J ] . Meteorology & Atmospheric Physics , 2004 , 87 ( 1/2/3 ): 167 - 196 .

邹敬 , 曲静原 , 曹建主 . 大气扩散模型验证与比对的工具和方法 [J ] . 辐射防护通讯 , 2004 , 24 ( 5 ): 15 - 20 .

ZOU J , QU J Y , CAO J Z . Tools and methods for verification and comparison of atmospheric diffusion models [J ] . Radiation Protection Communication , 2004 , 24 ( 5 ): 15 - 20 . (in Chinese)

宁莎莎 , 李璟涛 , 张怀宇 . 核事故应急大气扩散模型ARTM验证与评价 [J ] . 南方能源建设 , 2020 , 7 ( 4 ): 93 - 98 .

NING S S , LI J T , ZHANG H Y . Evaluation of nuclear accident atmospheric tadionuclide transport model ARTM [J ] . Southern Energy Construction , 2020 , 7 ( 4 ): 93 - 98 . (in Chinese)