Environmental fate modelling of PPCPs and microbial fecal indicators in Tokyo coastal area after rainfall events

降雨事件后东京沿海地区 PPCP 和微生物粪便指标的环境归趋模型

• 批准号: 20J12048
• 负责人: POOPIPATTANA CHOMPHUNUT
• 金额: $ 1.09万
• 依托单位: The University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for JSPS Fellows
• 财政年份: 2020
• 资助国家: 日本
• 起止时间: 2020-04-24 至 2022-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-20J12048/
• 关键词: combined sewer overflow; fecal contamination; coastal area; water quality model; PPCPs; coastal water

The aim of this study is to understand and predict the distribution of sewage markers in Tokyo coastal area after CSO (combined sewer overflow) events. Multiple water sampling campaigns were conducted after rainfall events to collect data including basic water parameters, PPCPs and E. coli concentrations.A 3D water quality model was developed to reproduce PPCPs and E. coli concentration in the area. The accuracy of model prediction was improved by applying decay/inactivation rate by sunlight and salinity, which were obtained from laboratory experiments. A large number of simulations were conducted to predict temporal change of E. coli concentration after various rainfall events and under different tidal conditions. Simulation results were compiled into a database including time and level of contamination. The purpose of the database is to be used for water safety forecast system and better CSO events characterization in the future.

本研究的目的是了解和预测的污水标记物在东京沿海地区的分布后，CSO（合流下水道溢流）事件。在降雨事件后进行了多次水样采集活动，以收集数据，包括基本水参数、PPCPs和E。建立了一个三维水质模型，重现了PPCPs和大肠杆菌的浓度。该地区的大肠杆菌浓度。利用室内实验获得的光照和盐度衰减/失活率，提高了模型预测的准确性。通过大量的模拟实验预测了E.在不同降雨事件和不同潮汐条件下的大肠杆菌浓度。模拟结果被编译成一个数据库，包括时间和污染程度。该数据库的目的是用于水安全预测系统和更好的CSO事件表征在未来。

项目成果

Modelling the Fate of CSO-derived PPCPs and E. coli in Tokyo Coastal Area after Rainfall Events and Comparison with Field Measurements

对降雨事件后东京沿海地区 CSO 衍生的 PPCP 和大肠杆菌的命运进行建模并与现场测量进行比较

• 发表时间: 2020
• 作者: 廣瀬 悠人;三木 陽大;丸山 泰蔵;中畑 和之;高橋裕人，松井良太，岡崎太一郎;Chomphunut POOPIPATTANA and Hiroaki FURUMAI
• 通讯作者: Chomphunut POOPIPATTANA and Hiroaki FURUMAI

A model-based study on influence of tidal conditions on temporal changes in E. coli concentration at Odaiba seaside park after various rainfall events

基于模型的研究潮汐条件对各种降雨事件后台场海滨公园大肠杆菌浓度时间变化的影响

• 发表时间: 2021
• 作者: Mizuki Tsutsui;Kazuhiro Okamoto;Kazuhiro Chiba;Poopipattana Chomphunut and Furumai Hiroaki
• 通讯作者: Poopipattana Chomphunut and Furumai Hiroaki

お台場海浜公園における降雨後の大腸菌濃度変化に及ぼす潮汐影響のモデル評価

台场海滨公园降雨后潮汐对大肠杆菌浓度变化影响的模型评估

• 发表时间: 2021
• 作者: 古米弘明;Chomphunut POOPIPATTANA
• 通讯作者: Chomphunut POOPIPATTANA

Forecasting system for bathing at Odaiba marine park based on E. coli concentration model simulation considering the combined characteristics of rainfall and tide conditions

考虑降雨和潮汐条件组合特征的基于大肠杆菌浓度模型模拟的台场海洋公园沐浴预报系统

• 发表时间: 2022
• 作者: Kazuhiro Chiba;Kazuhiro Okamoto;Mizuki Tsutsui;Yohei Okada;Furumai Hiroaki and Poopipattana Chomphunut
• 通讯作者: Furumai Hiroaki and Poopipattana Chomphunut

Influence of Tidal Conditions on Temporal Change in E. coli Concentration at Odaiba Seaside Park after Rainfall Events: A Modelling-based Study

降雨事件后潮汐条件对台场海滨公园大肠杆菌浓度时间变化的影响：基于模型的研究

• 发表时间: 2021
• 作者: Chomphunut POOPIPATTANA;Hiroaki FURUMAI
• 通讯作者: Hiroaki FURUMAI