Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams

Holistic water quality models to support decision-making in lowland catchments with competing stakeholder perspectives are still limited. To address this gap, an integrated system dynamics model for water quantity and quality (including stream temperature, dissolved oxygen, and macronutrients) was d...

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Autores principales:	Gregory G. Lemaire, Shane A. Carnohan, Stanislav Grand, Victor Mazel, Poul L. Bjerg, Ursula S. McKnight
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	system dynamics peri-urban areas lowland catchments water quality model modeling uncertainty Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/8dcb68649eb34006ae6748009b0ac678
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spelling	oai:doaj.org-article:8dcb68649eb34006ae6748009b0ac6782021-11-11T19:54:10ZData-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams10.3390/w132130022073-4441https://doaj.org/article/8dcb68649eb34006ae6748009b0ac6782021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/21/3002https://doaj.org/toc/2073-4441Holistic water quality models to support decision-making in lowland catchments with competing stakeholder perspectives are still limited. To address this gap, an integrated system dynamics model for water quantity and quality (including stream temperature, dissolved oxygen, and macronutrients) was developed. Adaptable plug-n-play modules handle the complexity (sources, pathways) related to both urban and agricultural/natural land-use features. The model was applied in a data-rich catchment to uncover key insights into the dynamics governing water quality in a peri-urban stream. Performance indicators demonstrate the model successfully captured key water quantity/quality variations and interactions (with, e.g., Nash-Sutcliff Efficiency ranging from very good to satisfactory). Model simulation and sensitivity results could then highlight the influence of stream temperature variations and enhanced heterotrophic respiration in summer, causing low dissolved oxygen levels and potentially affecting ecological quality. Probabilistic uncertainty results combined with a rich dataset show high potential for ammonium uptake in the macrophyte-dominated reach. The results further suggest phosphorus remobilization from streambed sediment could become an important diffuse nutrient source should other sources (e.g., urban effluents) be mitigated. These findings are especially important for the design of green transition solutions, where single-objective management strategies may negatively impact aquatic ecosystems.Gregory G. LemaireShane A. CarnohanStanislav GrandVictor MazelPoul L. BjergUrsula S. McKnightMDPI AGarticlesystem dynamicsperi-urban areaslowland catchmentswater quality modelmodelinguncertaintyHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3002, p 3002 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	system dynamics peri-urban areas lowland catchments water quality model modeling uncertainty Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
spellingShingle	system dynamics peri-urban areas lowland catchments water quality model modeling uncertainty Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Gregory G. Lemaire Shane A. Carnohan Stanislav Grand Victor Mazel Poul L. Bjerg Ursula S. McKnight Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams
description	Holistic water quality models to support decision-making in lowland catchments with competing stakeholder perspectives are still limited. To address this gap, an integrated system dynamics model for water quantity and quality (including stream temperature, dissolved oxygen, and macronutrients) was developed. Adaptable plug-n-play modules handle the complexity (sources, pathways) related to both urban and agricultural/natural land-use features. The model was applied in a data-rich catchment to uncover key insights into the dynamics governing water quality in a peri-urban stream. Performance indicators demonstrate the model successfully captured key water quantity/quality variations and interactions (with, e.g., Nash-Sutcliff Efficiency ranging from very good to satisfactory). Model simulation and sensitivity results could then highlight the influence of stream temperature variations and enhanced heterotrophic respiration in summer, causing low dissolved oxygen levels and potentially affecting ecological quality. Probabilistic uncertainty results combined with a rich dataset show high potential for ammonium uptake in the macrophyte-dominated reach. The results further suggest phosphorus remobilization from streambed sediment could become an important diffuse nutrient source should other sources (e.g., urban effluents) be mitigated. These findings are especially important for the design of green transition solutions, where single-objective management strategies may negatively impact aquatic ecosystems.
format	article
author	Gregory G. Lemaire Shane A. Carnohan Stanislav Grand Victor Mazel Poul L. Bjerg Ursula S. McKnight
author_facet	Gregory G. Lemaire Shane A. Carnohan Stanislav Grand Victor Mazel Poul L. Bjerg Ursula S. McKnight
author_sort	Gregory G. Lemaire
title	Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams
title_short	Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams
title_full	Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams
title_fullStr	Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams
title_full_unstemmed	Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams
title_sort	data-driven system dynamics model for simulating water quantity and quality in peri-urban streams
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8dcb68649eb34006ae6748009b0ac678
work_keys_str_mv	AT gregoryglemaire datadrivensystemdynamicsmodelforsimulatingwaterquantityandqualityinperiurbanstreams AT shaneacarnohan datadrivensystemdynamicsmodelforsimulatingwaterquantityandqualityinperiurbanstreams AT stanislavgrand datadrivensystemdynamicsmodelforsimulatingwaterquantityandqualityinperiurbanstreams AT victormazel datadrivensystemdynamicsmodelforsimulatingwaterquantityandqualityinperiurbanstreams AT poullbjerg datadrivensystemdynamicsmodelforsimulatingwaterquantityandqualityinperiurbanstreams AT ursulasmcknight datadrivensystemdynamicsmodelforsimulatingwaterquantityandqualityinperiurbanstreams
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Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams

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