Identifying representative stormwater quality events for pollution load prediction in planning and modelling contexts

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Abstract

Currently, applied solutions for better stormwater management systems often target both water quantity and quality related issues. However, while frameworks for assessing quantity performance have been
developed and applied (using e.g. exceedance return period as decision parameter), there is still a lack of consensus on the best evaluation approach for water quality performance. This study aims at simplifying the evaluation of pollution removal performance of stormwater control solutions in the planning phase by exploring the possibility of identifying a selection of Characteristic Rain Events (CRE). Each CRE will be associated with a corresponding mass-volume (MV) curve for Total Suspended Solids (TSS) loads. This relationship is identified by using a clustering approach. The use of CRE can simplify the planning process with respect to water quantity and quality aspects, provide an additional aid in modelling for decision making, and it can thus speed up collaboration between stakeholders in multi-objective, interdisciplinary planning situations.
Original languageEnglish
Publication date2019
Number of pages4
Publication statusPublished - 2019
Event10th edition of the Novatech conference - LyonTech la Doua EcoCampus , Lyon, France
Duration: 1 Jul 20195 Jul 2019
Conference number: 10
https://www.novatech.graie.org/a_index.php

Conference

Conference10th edition of the Novatech conference
Number10
LocationLyonTech la Doua EcoCampus
CountryFrance
CityLyon
Period01/07/201905/07/2019
Internet address

Cite this

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title = "Identifying representative stormwater quality events for pollution load prediction in planning and modelling contexts",
abstract = "Currently, applied solutions for better stormwater management systems often target both water quantity and quality related issues. However, while frameworks for assessing quantity performance have beendeveloped and applied (using e.g. exceedance return period as decision parameter), there is still a lack of consensus on the best evaluation approach for water quality performance. This study aims at simplifying the evaluation of pollution removal performance of stormwater control solutions in the planning phase by exploring the possibility of identifying a selection of Characteristic Rain Events (CRE). Each CRE will be associated with a corresponding mass-volume (MV) curve for Total Suspended Solids (TSS) loads. This relationship is identified by using a clustering approach. The use of CRE can simplify the planning process with respect to water quantity and quality aspects, provide an additional aid in modelling for decision making, and it can thus speed up collaboration between stakeholders in multi-objective, interdisciplinary planning situations.",
author = "Jensen, {Ditte Marie Reinholdt} and Santiago Sandoval and Xuyong Li and Mikkelsen, {Peter Steen} and Luca Vezzaro",
year = "2019",
language = "English",
note = "10th edition of the Novatech conference ; Conference date: 01-07-2019 Through 05-07-2019",
url = "https://www.novatech.graie.org/a_index.php",

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Jensen, DMR, Sandoval, S, Li, X, Mikkelsen, PS & Vezzaro, L 2019, 'Identifying representative stormwater quality events for pollution load prediction in planning and modelling contexts' 10th edition of the Novatech conference, Lyon, France, 01/07/2019 - 05/07/2019, .

Identifying representative stormwater quality events for pollution load prediction in planning and modelling contexts. / Jensen, Ditte Marie Reinholdt; Sandoval, Santiago; Li, Xuyong; Mikkelsen, Peter Steen; Vezzaro, Luca.

2019. Abstract from 10th edition of the Novatech conference, Lyon, France.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

TY - ABST

T1 - Identifying representative stormwater quality events for pollution load prediction in planning and modelling contexts

AU - Jensen, Ditte Marie Reinholdt

AU - Sandoval, Santiago

AU - Li, Xuyong

AU - Mikkelsen, Peter Steen

AU - Vezzaro, Luca

PY - 2019

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N2 - Currently, applied solutions for better stormwater management systems often target both water quantity and quality related issues. However, while frameworks for assessing quantity performance have beendeveloped and applied (using e.g. exceedance return period as decision parameter), there is still a lack of consensus on the best evaluation approach for water quality performance. This study aims at simplifying the evaluation of pollution removal performance of stormwater control solutions in the planning phase by exploring the possibility of identifying a selection of Characteristic Rain Events (CRE). Each CRE will be associated with a corresponding mass-volume (MV) curve for Total Suspended Solids (TSS) loads. This relationship is identified by using a clustering approach. The use of CRE can simplify the planning process with respect to water quantity and quality aspects, provide an additional aid in modelling for decision making, and it can thus speed up collaboration between stakeholders in multi-objective, interdisciplinary planning situations.

AB - Currently, applied solutions for better stormwater management systems often target both water quantity and quality related issues. However, while frameworks for assessing quantity performance have beendeveloped and applied (using e.g. exceedance return period as decision parameter), there is still a lack of consensus on the best evaluation approach for water quality performance. This study aims at simplifying the evaluation of pollution removal performance of stormwater control solutions in the planning phase by exploring the possibility of identifying a selection of Characteristic Rain Events (CRE). Each CRE will be associated with a corresponding mass-volume (MV) curve for Total Suspended Solids (TSS) loads. This relationship is identified by using a clustering approach. The use of CRE can simplify the planning process with respect to water quantity and quality aspects, provide an additional aid in modelling for decision making, and it can thus speed up collaboration between stakeholders in multi-objective, interdisciplinary planning situations.

M3 - Conference abstract for conference

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