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清华大学学报(自然科学版)  2017, Vol. 57 Issue (11): 1170-1178    DOI: 10.16511/j.cnki.qhdxxb.2017.21.034
  环境科学与工程 本期目录 | 过刊浏览 | 高级检索 |
基于水环境模型和数据库的潮汐河网突发水污染事件溯源
陈正侠1, 丁一2, 毛旭辉1, 王政1, 贾海峰1
1. 清华大学 环境学院, 北京 100084;
2. 上海市城市规划设计研究院, 上海 200040
Source identification of accidental water pollution in a tidal river network based on a water environment model and database
CHEN Zhengxia1, DING Yi2, MAO Xuhui1, WANG Zheng1, JIA Haifeng1
1. School of Environment, Tsinghua University, Beijing 100084, China;
2. Shanghai Urban Planning & Design Research Institute, Shanghai 200040, China
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摘要 为快速准确地实现潮汐河网突发性水污染的溯源,提出了基于水环境模型和数据库的溯源方法。以西江、北江佛山段为案例,基于EFDC(environmental fluid dynamics code)和WASP(water quality analysis simulation program)模型建立了研究区域的水动力模型、常规污染物水质模型以及有毒污染物水质模型;识别和筛选了研究区域的水环境风险源,并以此建立有毒污染物溯源数据库和常规污染物溯源数据库;最后以研究案例区内禅城沙口站监测到Cr6+超标为假设情景案例,通过数据库查询,使用反向计算确定3种可能的污染源排放情况下污染物初始排放量,再通过试错法,应用模型正向计算得到最终可能的污染源位置及对应的排放量,快速准确地完成污染物溯源。
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陈正侠
丁一
毛旭辉
王政
贾海峰
关键词 潮汐河网EFDC(environmental fluid dynamics code)模型WASP(water quality analysis simulation program)模型数据库突发水污染溯源    
Abstract:The source of accidental water pollution can be accurately and quickly identified using a water environment model and database. The Foshan section of the Xijiang and Beijiang Rivers was taken as an example to build a EFDC (environmental fluid dynamics code) hydrodynamic and WASP (water quality analysis simulation program) water quality model. The WASP water quality model included the WASP-EUTRO model for normal pollutants and the WASP-TOXI model for toxic pollutants. The EFDC-WASP model sorts information on the pollutant risk source at each automatic monitoring section to establish a toxic and normal pollutant source identification database. A hypothetical scenario having the Shakou monitoring station in the Chancheng district measuringa high Cr6+ concentration was taken as an example with 3 possible pollutant emission situations identified through a database query. Initial loads for each situation 1-3 were estimated according to a first-order kinetics equation, with the location and load for each situation then calculated by the model. The pollutant source was quickly and accurately identified.
Key wordstidal river network    environmental fluid dynamics code (EFDC) model    water quality analysis simulation program (WASP) model    database    accidental water pollution    source identification
收稿日期: 2017-01-03      出版日期: 2017-11-15
ZTFLH:  X522  
通讯作者: 贾海峰,研究员,E-mail:jhf@tsinghua.edu.cn     E-mail: jhf@tsinghua.edu.cn
引用本文:   
陈正侠, 丁一, 毛旭辉, 王政, 贾海峰. 基于水环境模型和数据库的潮汐河网突发水污染事件溯源[J]. 清华大学学报(自然科学版), 2017, 57(11): 1170-1178.
CHEN Zhengxia, DING Yi, MAO Xuhui, WANG Zheng, JIA Haifeng. Source identification of accidental water pollution in a tidal river network based on a water environment model and database. Journal of Tsinghua University(Science and Technology), 2017, 57(11): 1170-1178.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2017.21.034  或          http://jst.tsinghuajournals.com/CN/Y2017/V57/I11/1170
  图1 研究区域示意图
  图2 (网络版彩图)研究区域污染物乡镇排放量统计情况
  表1 WASPGEUTRO 水质模型选取的水质参数
  表2 WASPGTOXI水质模型参数
  图3 7个水位断面水深模拟结果与观测值
  图4 7个饮用水厂断面典型平水年DO 模拟结果与观测值
  表3 数据库信息表
  图5 (网络版彩图)污染物风险源识别结果
  图6 污染物溯源数据库EGR 图
  图7 数据库污染源筛选结果
  表4 需要模型进行模拟的3种可能情况
  图8 (网络版彩图)污染物溯源模拟不同情况 污染物排放位置示意图
  表5 3种可能情况下污染源排放量估算
  表6 3种可能情况下污染源初始排放量
  图9 禅城沙口断面事发后3天内Cr6+ 浓度模拟结果
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