Inverse uncertainty characteristics of pollution source identification for river chemical spill incidents by stochastic analysis

Identifying source information after river chemical spill occurrences is critical for emergency responses. However, the inverse uncertainty characteristics of this kind of pollution source inversion problem have not yet been clearly elucidated. To fill this gap, stochastic analysis approaches, including a regional sensitivity analysis method, identifiability plot and perturbation methods, were employed to conduct an empirical investigation on generic inverse uncertainty characteristics under a well-accepted uncertainty analysis framework. Case studies based on field tracer experiments and synthetic numerical tracer experiments revealed several new rules. For example, the release load can be most easily inverted, and the source location is responsible for the largest uncertainty among the source parameters. The diffusion and convection processes are more sensitive than the dilution and pollutant attenuation processes to the optimization of objective functions in terms of structural uncertainty. The differences among the different objective functions are smaller for instantaneous release than for continuous release cases. Small monitoring errors affect the inversion results only slightly, which can be ignored in practice. Interestingly, the estimated values of the release location and time negatively deviate from the real values, and the extent is positively correlated with the relative size of the mixing zone to the objective river reach. These new findings improve decision making in emergency responses to sudden water pollution and guide the monitoring network design.

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Teachers' conceptions of nature and environment in 16 countries

By using an original framework involving complementary statistical approaches, we investigated the environmental attitudes of 6379 pre-service and in-service teachers in 16 countries of Europe and its neighbourhood. To test hypotheses about the nature of environmental attitudes, we examined the variation across groups of individuals (between-class analysis), investigated the independent effects of several candidate explanatory factors (orthogonal analysis), and finally inspected potential relationships between conceptions on a variety of topics (co-inertia analysis).     

某热处理厂火灾事故的故障树分析研究

故障树分析法(FTA)是根据系统可能发生的事故或已经发生的事故结果,来研究与事故发生有关的原因、条件和规律,进而实施危险辨识的系统工程方法。本文通过对一起火灾事故的FTA分析,研究相应的控制措施。     

大气固定污染源低浓度颗粒物采样及分析技术研究进展

简述了我国现阶段大气固定污染源颗粒物监测中遇到的问题及低浓度颗粒物采样与分析技术研究的必要性,归纳了国外低浓度颗粒物采样分析技术要点,包括大体积采样、滤筒上游采样设备堆积颗粒物的回收、有效称重步骤的确立等,并对我国开展低浓度颗粒物采样及分析技术研究提出了相关建议.     

疫情下医疗废物的处置现状分析

2019年新冠疫情席卷全球,在疫情环境下,医疗废物大幅增多,全国各大城市纷纷出现医疗废物处置不当的现象。本文对国内外现状分析,在认知、设施、管理和监督四个方面发现存在一定的问题,通过加强教育、加大储备、完善机制和改善监管的建议,为提升医疗废物应急处置能力提供参考。     

企业环保设施市场化运营瓶颈的经济博弈分析

从经济学角度构建了企业环境污染的理论模型。并运用制度经济学与博弈论原理揭示我国企业环境污染行为与企业环保设施市场化运营瓶颈的内在原因，据此给出制度改革的有效建议。     

乌鲁木齐市燃煤点源现状分析

对乌鲁木齐市燃煤点派数量、耗煤量、污染物的排放量以及在各功能区的分布分别进行了统计分析，对污染物的排放量在不同高度空间的分布也进行了统计分析，从而得出了确切的结论并提出了相应的建议。     

碱性印染废水用于燃煤锅炉烟气脱硫除尘技术

介绍了当前国内利用碱性印染废水进行燃煤锅炉烟气湿法脱硫除尘的技术,并对其进行了技术经济分析。     

淮南矿区井下煤炭自燃火灾因素分析及防治措施

１９９０年以来,淮南矿区１１个矿井共发生自燃火灾４９起,自燃发火率平均为每百万吨习煤量０．５３次。通过对该矿区井下煤炭自燃因素和地质条件及开采中出现的自燃发火原因作了具体分析,从中找出发火规律;并对井下煤层自燃发火采取均压通风和直接灭火做了新的尝试,提出了对井下煤炭自燃防治措施。     

林火管理经济学的研究与探讨——单一可变防火要素的最佳投入

用经济学的观点分析了其它防火要素的投入量不变,仅改变某种可变防火要素的投入时,减灾效益Ｅ、边际减灾效益ＥＭ、平均减灾效益Ｅ／Ｆｉ与单一可变防火要素Ｆｉ的关系。提出了如何采用连际分析的方法确定单一防火要素的最佳投入问题。