ESTABLISHMENT AND APPLICATION OF WATER QUALITY SAFETY EARLY WARNING MODEL BASED ON PETRI THEORY
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摘要: 水质安全预警对于预防水污染事故发生、保障水资源安全具有重要意义。传统的水质安全预警模型只能对渐变式水环境污染事故或已经发生且有明显征兆显现出的水环境污染事故进行预警,无法对没有明显征兆的突发式水环境污染事故进行有效预警。针对这一问题,将Petri网的跃阶思想有效地纳入传统评价指标体系中,实现对模型逻辑拓扑网络的结构性调整,并结合模糊综合评价法和BP神经网络,构建了可以对突发式水环境污染事故做出及时反应的预警模型,将该模型应用到太湖水质安全预警的研究中。结果表明:在将TN、TP、透明度等指标纳入跃阶因子的基础上,模型可对太湖多次发生的水华事件实现准确预警。该结论为研究突发水环境污染事故预警提供了新的思路和理论依据。Abstract: Water quality safety early warning is of great significance for preventing water pollution accidents and ensuring water resources safety. The traditional water quality safety early warning model can only give early warning to the gradual water environmental pollution accidents or the water environmental pollution accidents that have already occurred and have obvious signs appearing, but cannot give effective early warning to the sudden water environmental pollution accidents without obvious signs. To solve this problem, the step idea of Petri net was effectively incorporated into the traditional evaluation index system, so as to realize the structural adjustment of the logical topology network of the model. Combined with the fuzzy comprehensive evaluation method and BP neural network, an early warning model which can timely reflect the sudden water environmental pollution accident was established. The model was applied to the study of water quality safety in Taihu Lake. The results showed that the model could accurately predict the occurrence of multiple bloom events in Taihu Lake, on the basis of incorporating the indexes of total nitrogen, total phosphorus and transparency into the step factors. The conclusion provided a new idea and theoretical basis for studying the early warning of water environmental pollution accidents.
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[1] HE C S,HARDEN C P,LIU Y X.Comparison of water resources management between China and the United States[J].Geography and Sustainability,2020,1(2):98-108. [2] WANG Y,ENGEL B A,HUANG P,et al.Accurately early warning to water quality pollutant risk by mobile model system with optimization technology [J]. Journal of Environmental Management,2018,208:122-133. [3] LU Y,XU H W,WANG Y X,et al.Evaluation of water environmental carrying capacity of city in Huaihe River Basin based on the AHP method:a case in Huai'an City[J].Water Resources and Industry,2017,18:71-77. [4] 许静,王永桂,陈岩,等.中国突发水污染事件时空分布特征[J].中国环境科学,2018,38(12):4566-4575. [5] 黄东龙,凌亮,周勤.基于视觉技术的水质安全在线生物预警系统设计[J].中国给水排水,2014,30(9):113-117. [6] 左锐,石榕涛,王膑,等.地下水型水源地水质安全预警技术体系研究[J].环境科学研究,2018,31(3):409-418. [7] DING X W,ZHU Q,ZHAI A F,et al.Water quality safety prediction model for drinking water source areas in Three Gorges Reservoir and its application[J].Ecological Indicators,2019,101:734-741. [8] SEIS W,ZAMZOW M,CARADOT N,et al.On the implementation of reliable early warning systems at European bathing waters using multivariate Bayesian regression modelling[J].Water Research,2018,143:301-312. [9] 任永泰,卢静,付强.基于评价指数的三江平原水安全系统预警研究[J].人民黄河,2017,39(3):75-80. [10] 袁崇义.Petri网原理与应用[M].北京:电子工业出版社,2005. [11] 方可,马萍,杨明.用于虚拟样机系统可信度评估的多属性决策网方法[J].计算机集成制造系统,2012,18(5):1054-1060. [12] 方可,马萍,杨明.仿真可信度评估中的AHP超越权重[J].北京航空航天大学学报,2011,37(5):584-588. [13] 方可,何博夫,杨明,等.模糊综合评价法在仿真可信度评估网中的应用[J].哈尔滨工业大学学报,2011,43(5):30-36. [14] 封丽,张学睿,封雷,等.基于粗糙集的三峡库区支流水质富营养化模糊综合评价模型研究[J].环境工程,2015,33(12):105-110. [15] 水利部太湖流域管理局.太湖健康状况公报[EB/OL].2018.http://www.tba.gov.cn/slbthlyglj/sj/sj.html. [16] KIM D K,ZHANG W,WATSON S,et al.A commentary on the modelling of the causal linkages among nutrient loading,harmful algal blooms,and hypoxia patterns in Lake Erie[J].Journal of Great Lakes Research,2014,40(suppl.3):117-129. [17] 叶松.城市供水安全防范平台技术研发与实践[D].青岛:青岛理工大学,2014. [18] 朱广伟,许海,朱梦圆,等.三十年来长江中下游湖泊富营养化状况变迁及其影响因素[J].湖泊科学,2019,31(6):1510-1524. [19] 闵屾,钱荣树,朱广伟,等.2007—2015年太湖水体理化监测数据集[DB/OL].Science Data Bank,2019.DOI: 10.11922/sciencedb.833. [20] 殷高方,张玉钧,胡丽,等.BP神经网络在水华短期预测中的应用[J].北京理工大学学报,2012,32(6):655-660.
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