A water quality monitoring network design methodology for the selection of critical sampling points: Part I.
Identifieur interne : 000B85 ( Main/Exploration ); précédent : 000B84; suivant : 000B86A water quality monitoring network design methodology for the selection of critical sampling points: Part I.
Auteurs : R O Strobl [Pays-Bas] ; P D Robillard ; R D Shannon ; R L Day ; A J McdonnellSource :
- Environmental monitoring and assessment [ 0167-6369 ] ; 2006.
English descriptors
- KwdEn :
- Environmental Monitoring, Environmental Monitoring (methods), Environmental Monitoring (standards), Fuzzy Logic, Geographic Information Systems, Models, Theoretical, Phosphorus (analysis), Quality Control, Research Design, Water Movements, Water Pollution, Water Supply (analysis), Water Supply (standards).
- MESH :
- chemical , analysis : Phosphorus.
- analysis : Water Supply.
- methods : Environmental Monitoring.
- standards : Environmental Monitoring, Water Supply.
- Environmental Monitoring, Fuzzy Logic, Geographic Information Systems, Models, Theoretical, Quality Control, Research Design, Water Movements, Water Pollution.
Abstract
The principal instrument to temporally and spatially manage water resources is a water quality monitoring network. However, to date in most cases, there is a clear absence of a concise strategy or methodology for designing monitoring networks, especially when deciding upon the placement of sampling stations. Since water quality monitoring networks can be quite costly, it is very important to properly design the monitoring network so that maximum information extraction can be accomplished, which in turn is vital when informing decision-makers. This paper presents the development of a methodology for identifying the critical sampling locations within a watershed. Hence, it embodies the spatial component in the design of a water quality monitoring network by designating the critical stream locations that should ideally be sampled. For illustration purposes, the methodology focuses on a single contaminant, namely total phosphorus, and is applicable to small, upland, predominantly agricultural-forested watersheds. It takes a number of hydrologic, topographic, soils, vegetative, and land use factors into account. In addition, it includes an economic as well as logistical component in order to approximate the number of sampling points required for a given budget and to only consider the logistically accessible stream reaches in the analysis, respectively. The methodology utilizes a geographic information system (GIS), hydrologic simulation model, and fuzzy logic.
DOI: 10.1007/s10661-006-0774-5
PubMed: 16404538
Affiliations:
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Le document en format XML
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Theoretical</term><term>Phosphorus (analysis)</term><term>Quality Control</term><term>Research Design</term><term>Water Movements</term><term>Water Pollution</term><term>Water Supply (analysis)</term><term>Water Supply (standards)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Phosphorus</term></keywords><keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Water Supply</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Environmental Monitoring</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Environmental Monitoring</term><term>Water Supply</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Environmental Monitoring</term><term>Fuzzy Logic</term><term>Geographic Information Systems</term><term>Models, Theoretical</term><term>Quality Control</term><term>Research Design</term><term>Water Movements</term><term>Water Pollution</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The principal instrument to temporally and spatially manage water resources is a water quality monitoring network. However, to date in most cases, there is a clear absence of a concise strategy or methodology for designing monitoring networks, especially when deciding upon the placement of sampling stations. Since water quality monitoring networks can be quite costly, it is very important to properly design the monitoring network so that maximum information extraction can be accomplished, which in turn is vital when informing decision-makers. This paper presents the development of a methodology for identifying the critical sampling locations within a watershed. Hence, it embodies the spatial component in the design of a water quality monitoring network by designating the critical stream locations that should ideally be sampled. For illustration purposes, the methodology focuses on a single contaminant, namely total phosphorus, and is applicable to small, upland, predominantly agricultural-forested watersheds. It takes a number of hydrologic, topographic, soils, vegetative, and land use factors into account. In addition, it includes an economic as well as logistical component in order to approximate the number of sampling points required for a given budget and to only consider the logistically accessible stream reaches in the analysis, respectively. The methodology utilizes a geographic information system (GIS), hydrologic simulation model, and fuzzy logic.</div></front></TEI><affiliations><list><country><li>Pays-Bas</li></country></list><tree><noCountry><name sortKey="Day, R L" sort="Day, R L" uniqKey="Day R" first="R L" last="Day">R L Day</name><name sortKey="Mcdonnell, A J" sort="Mcdonnell, A J" uniqKey="Mcdonnell A" first="A J" last="Mcdonnell">A J Mcdonnell</name><name sortKey="Robillard, P D" sort="Robillard, P D" uniqKey="Robillard P" first="P D" last="Robillard">P D Robillard</name><name sortKey="Shannon, R D" sort="Shannon, R D" uniqKey="Shannon R" first="R D" last="Shannon">R D Shannon</name></noCountry><country name="Pays-Bas"><noRegion><name sortKey="Strobl, R O" sort="Strobl, R O" uniqKey="Strobl R" first="R O" last="Strobl">R O Strobl</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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