OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE
: A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA com...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Veith, Tamie L. [verfasserIn] Wolfe, Mary Leigh [verfasserIn] Heatwole, Conrad D. [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|
| Erschienen: |
Oxford, UK: Blackwell Publishing Ltd ; 2003 |
|---|
| Schlagwörter: |
|---|
| Umfang: |
Online-Ressource |
|---|
| Reproduktion: |
2007 ; Blackwell Publishing Journal Backfiles 1879-2005 |
|---|---|
| Übergeordnetes Werk: |
In: Journal of the American Water Resources Association - American Water Resources Association ; GKD-ID: 11654, Middleburg VA : Assoc., 1967, 39(2003), 6, Seite 0 |
| Übergeordnetes Werk: |
volume:39 ; year:2003 ; number:6 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1111/j.1752-1688.2003.tb04421.x |
|---|
| Katalog-ID: |
NLEJ243373538 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLEJ243373538 | ||
| 003 | DE-627 | ||
| 005 | 20210707180227.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 120427s2003 xx |||||o 00| ||und c | ||
| 024 | 7 | |a 10.1111/j.1752-1688.2003.tb04421.x |2 doi | |
| 035 | |a (DE-627)NLEJ243373538 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 100 | 1 | |a Veith, Tamie L. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE |
| 264 | 1 | |a Oxford, UK |b Blackwell Publishing Ltd |c 2003 | |
| 300 | |a Online-Ressource | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a : A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA combines an optimization component written in the C++ language with spatially variable NFS pollution prediction and economic analysis components written within the Arc View geographic information system. The procedure is modular in design, allowing for component modifications while maintaining the basic conceptual framework. An objective function was developed to lexicographically optimize pollution reduction followed by cost increase. Scenario cost effectiveness is then calculated for scenario comparisons. The NPS pollutant fitness score allows for evaluation of multiple pollutants, based on prioritization of each pollutant. The economic component considers farm level public and private costs, cost distribution, and land area requirements. Development of a sediment transport function, used with the Universal Soil Loss Equation, allows the optimization procedure to run within a reasonable timeframe. The procedure identifies multiple near optimal solutions, providing an indication of which fields have a more critical impact on overall cost effectiveness and flexibility in the final solution selected for implementation. The procedure was demonstrated for a 1,014-ha watershed in the Ridge and Valley physiographic region of Virginia. | ||
| 533 | |d 2007 |f Blackwell Publishing Journal Backfiles 1879-2005 |7 |2007|||||||||| | ||
| 650 | 4 | |a watershed management | |
| 700 | 1 | |a Wolfe, Mary Leigh |e verfasserin |4 aut | |
| 700 | 1 | |a Heatwole, Conrad D. |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i In |a American Water Resources Association ; GKD-ID: 11654 |t Journal of the American Water Resources Association |d Middleburg VA : Assoc., 1967 |g 39(2003), 6, Seite 0 |h Online-Ressource |w (DE-627)NLEJ243927428 |w (DE-600)2090051-X |x 1752-1688 |7 nnns |
| 773 | 1 | 8 | |g volume:39 |g year:2003 |g number:6 |g pages:0 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1111/j.1752-1688.2003.tb04421.x |q text/html |x Verlag |z Deutschlandweit zugänglich |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a ZDB-1-DJB | ||
| 912 | |a GBV_NL_ARTICLE | ||
| 951 | |a AR | ||
| 952 | |d 39 |j 2003 |e 6 |h 0 | ||
| author_variant |
t l v tl tlv m l w ml mlw c d h cd cdh |
|---|---|
| matchkey_str |
article:17521688:2003----::piiainrcdrfrotfetvbplcmn |
| hierarchy_sort_str |
2003 |
| publishDate |
2003 |
| allfields |
10.1111/j.1752-1688.2003.tb04421.x doi (DE-627)NLEJ243373538 DE-627 ger DE-627 rakwb Veith, Tamie L. verfasserin aut OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE Oxford, UK Blackwell Publishing Ltd 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA combines an optimization component written in the C++ language with spatially variable NFS pollution prediction and economic analysis components written within the Arc View geographic information system. The procedure is modular in design, allowing for component modifications while maintaining the basic conceptual framework. An objective function was developed to lexicographically optimize pollution reduction followed by cost increase. Scenario cost effectiveness is then calculated for scenario comparisons. The NPS pollutant fitness score allows for evaluation of multiple pollutants, based on prioritization of each pollutant. The economic component considers farm level public and private costs, cost distribution, and land area requirements. Development of a sediment transport function, used with the Universal Soil Loss Equation, allows the optimization procedure to run within a reasonable timeframe. The procedure identifies multiple near optimal solutions, providing an indication of which fields have a more critical impact on overall cost effectiveness and flexibility in the final solution selected for implementation. The procedure was demonstrated for a 1,014-ha watershed in the Ridge and Valley physiographic region of Virginia. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| watershed management Wolfe, Mary Leigh verfasserin aut Heatwole, Conrad D. verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 39(2003), 6, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:39 year:2003 number:6 pages:0 http://dx.doi.org/10.1111/j.1752-1688.2003.tb04421.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 39 2003 6 0 |
| spelling |
10.1111/j.1752-1688.2003.tb04421.x doi (DE-627)NLEJ243373538 DE-627 ger DE-627 rakwb Veith, Tamie L. verfasserin aut OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE Oxford, UK Blackwell Publishing Ltd 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA combines an optimization component written in the C++ language with spatially variable NFS pollution prediction and economic analysis components written within the Arc View geographic information system. The procedure is modular in design, allowing for component modifications while maintaining the basic conceptual framework. An objective function was developed to lexicographically optimize pollution reduction followed by cost increase. Scenario cost effectiveness is then calculated for scenario comparisons. The NPS pollutant fitness score allows for evaluation of multiple pollutants, based on prioritization of each pollutant. The economic component considers farm level public and private costs, cost distribution, and land area requirements. Development of a sediment transport function, used with the Universal Soil Loss Equation, allows the optimization procedure to run within a reasonable timeframe. The procedure identifies multiple near optimal solutions, providing an indication of which fields have a more critical impact on overall cost effectiveness and flexibility in the final solution selected for implementation. The procedure was demonstrated for a 1,014-ha watershed in the Ridge and Valley physiographic region of Virginia. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| watershed management Wolfe, Mary Leigh verfasserin aut Heatwole, Conrad D. verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 39(2003), 6, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:39 year:2003 number:6 pages:0 http://dx.doi.org/10.1111/j.1752-1688.2003.tb04421.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 39 2003 6 0 |
| allfields_unstemmed |
10.1111/j.1752-1688.2003.tb04421.x doi (DE-627)NLEJ243373538 DE-627 ger DE-627 rakwb Veith, Tamie L. verfasserin aut OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE Oxford, UK Blackwell Publishing Ltd 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA combines an optimization component written in the C++ language with spatially variable NFS pollution prediction and economic analysis components written within the Arc View geographic information system. The procedure is modular in design, allowing for component modifications while maintaining the basic conceptual framework. An objective function was developed to lexicographically optimize pollution reduction followed by cost increase. Scenario cost effectiveness is then calculated for scenario comparisons. The NPS pollutant fitness score allows for evaluation of multiple pollutants, based on prioritization of each pollutant. The economic component considers farm level public and private costs, cost distribution, and land area requirements. Development of a sediment transport function, used with the Universal Soil Loss Equation, allows the optimization procedure to run within a reasonable timeframe. The procedure identifies multiple near optimal solutions, providing an indication of which fields have a more critical impact on overall cost effectiveness and flexibility in the final solution selected for implementation. The procedure was demonstrated for a 1,014-ha watershed in the Ridge and Valley physiographic region of Virginia. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| watershed management Wolfe, Mary Leigh verfasserin aut Heatwole, Conrad D. verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 39(2003), 6, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:39 year:2003 number:6 pages:0 http://dx.doi.org/10.1111/j.1752-1688.2003.tb04421.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 39 2003 6 0 |
| allfieldsGer |
10.1111/j.1752-1688.2003.tb04421.x doi (DE-627)NLEJ243373538 DE-627 ger DE-627 rakwb Veith, Tamie L. verfasserin aut OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE Oxford, UK Blackwell Publishing Ltd 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA combines an optimization component written in the C++ language with spatially variable NFS pollution prediction and economic analysis components written within the Arc View geographic information system. The procedure is modular in design, allowing for component modifications while maintaining the basic conceptual framework. An objective function was developed to lexicographically optimize pollution reduction followed by cost increase. Scenario cost effectiveness is then calculated for scenario comparisons. The NPS pollutant fitness score allows for evaluation of multiple pollutants, based on prioritization of each pollutant. The economic component considers farm level public and private costs, cost distribution, and land area requirements. Development of a sediment transport function, used with the Universal Soil Loss Equation, allows the optimization procedure to run within a reasonable timeframe. The procedure identifies multiple near optimal solutions, providing an indication of which fields have a more critical impact on overall cost effectiveness and flexibility in the final solution selected for implementation. The procedure was demonstrated for a 1,014-ha watershed in the Ridge and Valley physiographic region of Virginia. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| watershed management Wolfe, Mary Leigh verfasserin aut Heatwole, Conrad D. verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 39(2003), 6, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:39 year:2003 number:6 pages:0 http://dx.doi.org/10.1111/j.1752-1688.2003.tb04421.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 39 2003 6 0 |
| allfieldsSound |
10.1111/j.1752-1688.2003.tb04421.x doi (DE-627)NLEJ243373538 DE-627 ger DE-627 rakwb Veith, Tamie L. verfasserin aut OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE Oxford, UK Blackwell Publishing Ltd 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA combines an optimization component written in the C++ language with spatially variable NFS pollution prediction and economic analysis components written within the Arc View geographic information system. The procedure is modular in design, allowing for component modifications while maintaining the basic conceptual framework. An objective function was developed to lexicographically optimize pollution reduction followed by cost increase. Scenario cost effectiveness is then calculated for scenario comparisons. The NPS pollutant fitness score allows for evaluation of multiple pollutants, based on prioritization of each pollutant. The economic component considers farm level public and private costs, cost distribution, and land area requirements. Development of a sediment transport function, used with the Universal Soil Loss Equation, allows the optimization procedure to run within a reasonable timeframe. The procedure identifies multiple near optimal solutions, providing an indication of which fields have a more critical impact on overall cost effectiveness and flexibility in the final solution selected for implementation. The procedure was demonstrated for a 1,014-ha watershed in the Ridge and Valley physiographic region of Virginia. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| watershed management Wolfe, Mary Leigh verfasserin aut Heatwole, Conrad D. verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 39(2003), 6, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:39 year:2003 number:6 pages:0 http://dx.doi.org/10.1111/j.1752-1688.2003.tb04421.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 39 2003 6 0 |
| source |
In Journal of the American Water Resources Association 39(2003), 6, Seite 0 volume:39 year:2003 number:6 pages:0 |
| sourceStr |
In Journal of the American Water Resources Association 39(2003), 6, Seite 0 volume:39 year:2003 number:6 pages:0 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
watershed management |
| isfreeaccess_bool |
false |
| container_title |
Journal of the American Water Resources Association |
| authorswithroles_txt_mv |
Veith, Tamie L. @@aut@@ Wolfe, Mary Leigh @@aut@@ Heatwole, Conrad D. @@aut@@ |
| publishDateDaySort_date |
2003-01-01T00:00:00Z |
| hierarchy_top_id |
NLEJ243927428 |
| id |
NLEJ243373538 |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ243373538</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707180227.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">120427s2003 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1111/j.1752-1688.2003.tb04421.x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ243373538</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Veith, Tamie L.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford, UK</subfield><subfield code="b">Blackwell Publishing Ltd</subfield><subfield code="c">2003</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">: A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA combines an optimization component written in the C++ language with spatially variable NFS pollution prediction and economic analysis components written within the Arc View geographic information system. The procedure is modular in design, allowing for component modifications while maintaining the basic conceptual framework. An objective function was developed to lexicographically optimize pollution reduction followed by cost increase. Scenario cost effectiveness is then calculated for scenario comparisons. The NPS pollutant fitness score allows for evaluation of multiple pollutants, based on prioritization of each pollutant. The economic component considers farm level public and private costs, cost distribution, and land area requirements. Development of a sediment transport function, used with the Universal Soil Loss Equation, allows the optimization procedure to run within a reasonable timeframe. The procedure identifies multiple near optimal solutions, providing an indication of which fields have a more critical impact on overall cost effectiveness and flexibility in the final solution selected for implementation. The procedure was demonstrated for a 1,014-ha watershed in the Ridge and Valley physiographic region of Virginia.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="d">2007</subfield><subfield code="f">Blackwell Publishing Journal Backfiles 1879-2005</subfield><subfield code="7">|2007||||||||||</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">watershed management</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wolfe, Mary Leigh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Heatwole, Conrad D.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="a">American Water Resources Association ; GKD-ID: 11654</subfield><subfield code="t">Journal of the American Water Resources Association</subfield><subfield code="d">Middleburg VA : Assoc., 1967</subfield><subfield code="g">39(2003), 6, Seite 0</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ243927428</subfield><subfield code="w">(DE-600)2090051-X</subfield><subfield code="x">1752-1688</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:39</subfield><subfield code="g">year:2003</subfield><subfield code="g">number:6</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1111/j.1752-1688.2003.tb04421.x</subfield><subfield code="q">text/html</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-DJB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">39</subfield><subfield code="j">2003</subfield><subfield code="e">6</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| series2 |
Blackwell Publishing Journal Backfiles 1879-2005 |
| author |
Veith, Tamie L. |
| spellingShingle |
Veith, Tamie L. misc watershed management OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE |
| authorStr |
Veith, Tamie L. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)NLEJ243927428 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
NL |
| publishPlace |
Oxford, UK |
| remote_str |
true |
| illustrated |
Not Illustrated |
| issn |
1752-1688 |
| topic_title |
OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE watershed management |
| publisher |
Blackwell Publishing Ltd |
| publisherStr |
Blackwell Publishing Ltd |
| topic |
misc watershed management |
| topic_unstemmed |
misc watershed management |
| topic_browse |
misc watershed management |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| hierarchy_parent_title |
Journal of the American Water Resources Association |
| hierarchy_parent_id |
NLEJ243927428 |
| hierarchy_top_title |
Journal of the American Water Resources Association |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)NLEJ243927428 (DE-600)2090051-X |
| title |
OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE |
| ctrlnum |
(DE-627)NLEJ243373538 |
| title_full |
OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE |
| author_sort |
Veith, Tamie L. |
| journal |
Journal of the American Water Resources Association |
| journalStr |
Journal of the American Water Resources Association |
| isOA_bool |
false |
| recordtype |
marc |
| publishDateSort |
2003 |
| contenttype_str_mv |
zzz |
| container_start_page |
0 |
| author_browse |
Veith, Tamie L. Wolfe, Mary Leigh Heatwole, Conrad D. |
| container_volume |
39 |
| physical |
Online-Ressource |
| format_se |
Elektronische Aufsätze |
| author-letter |
Veith, Tamie L. |
| doi_str_mv |
10.1111/j.1752-1688.2003.tb04421.x |
| author2-role |
verfasserin |
| title_sort |
optimization procedure for cost effective bmp placement at a watershed scale |
| title_auth |
OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE |
| abstract |
: A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA combines an optimization component written in the C++ language with spatially variable NFS pollution prediction and economic analysis components written within the Arc View geographic information system. The procedure is modular in design, allowing for component modifications while maintaining the basic conceptual framework. An objective function was developed to lexicographically optimize pollution reduction followed by cost increase. Scenario cost effectiveness is then calculated for scenario comparisons. The NPS pollutant fitness score allows for evaluation of multiple pollutants, based on prioritization of each pollutant. The economic component considers farm level public and private costs, cost distribution, and land area requirements. Development of a sediment transport function, used with the Universal Soil Loss Equation, allows the optimization procedure to run within a reasonable timeframe. The procedure identifies multiple near optimal solutions, providing an indication of which fields have a more critical impact on overall cost effectiveness and flexibility in the final solution selected for implementation. The procedure was demonstrated for a 1,014-ha watershed in the Ridge and Valley physiographic region of Virginia. |
| abstractGer |
: A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA combines an optimization component written in the C++ language with spatially variable NFS pollution prediction and economic analysis components written within the Arc View geographic information system. The procedure is modular in design, allowing for component modifications while maintaining the basic conceptual framework. An objective function was developed to lexicographically optimize pollution reduction followed by cost increase. Scenario cost effectiveness is then calculated for scenario comparisons. The NPS pollutant fitness score allows for evaluation of multiple pollutants, based on prioritization of each pollutant. The economic component considers farm level public and private costs, cost distribution, and land area requirements. Development of a sediment transport function, used with the Universal Soil Loss Equation, allows the optimization procedure to run within a reasonable timeframe. The procedure identifies multiple near optimal solutions, providing an indication of which fields have a more critical impact on overall cost effectiveness and flexibility in the final solution selected for implementation. The procedure was demonstrated for a 1,014-ha watershed in the Ridge and Valley physiographic region of Virginia. |
| abstract_unstemmed |
: A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA combines an optimization component written in the C++ language with spatially variable NFS pollution prediction and economic analysis components written within the Arc View geographic information system. The procedure is modular in design, allowing for component modifications while maintaining the basic conceptual framework. An objective function was developed to lexicographically optimize pollution reduction followed by cost increase. Scenario cost effectiveness is then calculated for scenario comparisons. The NPS pollutant fitness score allows for evaluation of multiple pollutants, based on prioritization of each pollutant. The economic component considers farm level public and private costs, cost distribution, and land area requirements. Development of a sediment transport function, used with the Universal Soil Loss Equation, allows the optimization procedure to run within a reasonable timeframe. The procedure identifies multiple near optimal solutions, providing an indication of which fields have a more critical impact on overall cost effectiveness and flexibility in the final solution selected for implementation. The procedure was demonstrated for a 1,014-ha watershed in the Ridge and Valley physiographic region of Virginia. |
| collection_details |
GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE |
| container_issue |
6 |
| title_short |
OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE |
| url |
http://dx.doi.org/10.1111/j.1752-1688.2003.tb04421.x |
| remote_bool |
true |
| author2 |
Wolfe, Mary Leigh Heatwole, Conrad D. |
| author2Str |
Wolfe, Mary Leigh Heatwole, Conrad D. |
| ppnlink |
NLEJ243927428 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1111/j.1752-1688.2003.tb04421.x |
| up_date |
2024-07-06T05:15:21.211Z |
| _version_ |
1803805441350696960 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ243373538</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707180227.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">120427s2003 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1111/j.1752-1688.2003.tb04421.x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ243373538</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Veith, Tamie L.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">OPTIMIZATION PROCEDURE FOR COST EFFECTIVE BMP PLACEMENT AT A WATERSHED SCALE</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford, UK</subfield><subfield code="b">Blackwell Publishing Ltd</subfield><subfield code="c">2003</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">: A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from among several optimization heuristics. The GA combines an optimization component written in the C++ language with spatially variable NFS pollution prediction and economic analysis components written within the Arc View geographic information system. The procedure is modular in design, allowing for component modifications while maintaining the basic conceptual framework. An objective function was developed to lexicographically optimize pollution reduction followed by cost increase. Scenario cost effectiveness is then calculated for scenario comparisons. The NPS pollutant fitness score allows for evaluation of multiple pollutants, based on prioritization of each pollutant. The economic component considers farm level public and private costs, cost distribution, and land area requirements. Development of a sediment transport function, used with the Universal Soil Loss Equation, allows the optimization procedure to run within a reasonable timeframe. The procedure identifies multiple near optimal solutions, providing an indication of which fields have a more critical impact on overall cost effectiveness and flexibility in the final solution selected for implementation. The procedure was demonstrated for a 1,014-ha watershed in the Ridge and Valley physiographic region of Virginia.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="d">2007</subfield><subfield code="f">Blackwell Publishing Journal Backfiles 1879-2005</subfield><subfield code="7">|2007||||||||||</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">watershed management</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wolfe, Mary Leigh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Heatwole, Conrad D.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="a">American Water Resources Association ; GKD-ID: 11654</subfield><subfield code="t">Journal of the American Water Resources Association</subfield><subfield code="d">Middleburg VA : Assoc., 1967</subfield><subfield code="g">39(2003), 6, Seite 0</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ243927428</subfield><subfield code="w">(DE-600)2090051-X</subfield><subfield code="x">1752-1688</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:39</subfield><subfield code="g">year:2003</subfield><subfield code="g">number:6</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1111/j.1752-1688.2003.tb04421.x</subfield><subfield code="q">text/html</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-DJB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">39</subfield><subfield code="j">2003</subfield><subfield code="e">6</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| score |
7.399624 |