Application of an iterative source localization strategy at a chlorinated solvent site

This study presents an inverse modeling strategy for organic contaminant source localization. The approach infers the hydraulic conductivity field, the dispersivity, and the source zone location. Beginning with initial observed data of contaminant concentration and hydraulic head, the method follows...

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Autores principales:	E. Essouayed, T. Ferré, G. Cohen, N. Guiserix, O. Atteia
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Contaminant source localization Iterative strategy GLMA Data Worth Contaminated site management Field estimation Environmental engineering TA170-171 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/96b7995c094f4b37b7ba534bf1667bed
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spelling	oai:doaj.org-article:96b7995c094f4b37b7ba534bf1667bed2021-12-04T04:35:37ZApplication of an iterative source localization strategy at a chlorinated solvent site2589-915510.1016/j.hydroa.2021.100111https://doaj.org/article/96b7995c094f4b37b7ba534bf1667bed2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2589915521000390https://doaj.org/toc/2589-9155This study presents an inverse modeling strategy for organic contaminant source localization. The approach infers the hydraulic conductivity field, the dispersivity, and the source zone location. Beginning with initial observed data of contaminant concentration and hydraulic head, the method follows an iterative strategy of adding new observations and revising the source location estimate. Non-linear optimization using the Gauss-Levenberg-Marquardt Algorithm (PEST++) is tested at a real contaminated site. Then a limited number of drilling locations are added, with their positions guided by the Data Worth analysis capabilities of PYEMU. The first phase of PEST++, with PYEMU guidance, followed by addition of monitoring wells provided an initial source location and identified four additional drilling locations. The second phase confirmed the source location, but the estimated hydraulic conductivity field and the Darcy flux were too far from the measured values. The mismatch led to a revised conceptual site model that included two distinct zones, each with a plume emanating from a separate source. A third inverse modelling phase was conducted with the revised site conceptual model. Finally, the source location was compared to results from a Geoprobe@ MiHPT campaign and historical records, confirming both source locations. By merging measurement and modeling in a coupled, iterative framework, two contaminant sources were located through only two drilling campaigns while also reforming the conceptual model of the site.E. EssouayedT. FerréG. CohenN. GuiserixO. AtteiaElsevierarticleContaminant source localizationIterative strategyGLMAData WorthContaminated site managementField estimationEnvironmental engineeringTA170-171Environmental sciencesGE1-350ENJournal of Hydrology X, Vol 13, Iss , Pp 100111- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Contaminant source localization Iterative strategy GLMA Data Worth Contaminated site management Field estimation Environmental engineering TA170-171 Environmental sciences GE1-350
spellingShingle	Contaminant source localization Iterative strategy GLMA Data Worth Contaminated site management Field estimation Environmental engineering TA170-171 Environmental sciences GE1-350 E. Essouayed T. Ferré G. Cohen N. Guiserix O. Atteia Application of an iterative source localization strategy at a chlorinated solvent site
description	This study presents an inverse modeling strategy for organic contaminant source localization. The approach infers the hydraulic conductivity field, the dispersivity, and the source zone location. Beginning with initial observed data of contaminant concentration and hydraulic head, the method follows an iterative strategy of adding new observations and revising the source location estimate. Non-linear optimization using the Gauss-Levenberg-Marquardt Algorithm (PEST++) is tested at a real contaminated site. Then a limited number of drilling locations are added, with their positions guided by the Data Worth analysis capabilities of PYEMU. The first phase of PEST++, with PYEMU guidance, followed by addition of monitoring wells provided an initial source location and identified four additional drilling locations. The second phase confirmed the source location, but the estimated hydraulic conductivity field and the Darcy flux were too far from the measured values. The mismatch led to a revised conceptual site model that included two distinct zones, each with a plume emanating from a separate source. A third inverse modelling phase was conducted with the revised site conceptual model. Finally, the source location was compared to results from a Geoprobe@ MiHPT campaign and historical records, confirming both source locations. By merging measurement and modeling in a coupled, iterative framework, two contaminant sources were located through only two drilling campaigns while also reforming the conceptual model of the site.
format	article
author	E. Essouayed T. Ferré G. Cohen N. Guiserix O. Atteia
author_facet	E. Essouayed T. Ferré G. Cohen N. Guiserix O. Atteia
author_sort	E. Essouayed
title	Application of an iterative source localization strategy at a chlorinated solvent site
title_short	Application of an iterative source localization strategy at a chlorinated solvent site
title_full	Application of an iterative source localization strategy at a chlorinated solvent site
title_fullStr	Application of an iterative source localization strategy at a chlorinated solvent site
title_full_unstemmed	Application of an iterative source localization strategy at a chlorinated solvent site
title_sort	application of an iterative source localization strategy at a chlorinated solvent site
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/96b7995c094f4b37b7ba534bf1667bed
work_keys_str_mv	AT eessouayed applicationofaniterativesourcelocalizationstrategyatachlorinatedsolventsite AT tferre applicationofaniterativesourcelocalizationstrategyatachlorinatedsolventsite AT gcohen applicationofaniterativesourcelocalizationstrategyatachlorinatedsolventsite AT nguiserix applicationofaniterativesourcelocalizationstrategyatachlorinatedsolventsite AT oatteia applicationofaniterativesourcelocalizationstrategyatachlorinatedsolventsite
_version_	1718372928349798400

Application of an iterative source localization strategy at a chlorinated solvent site

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