Name: spatial multiobjective optimization of agricultural conservation practices using a swat model and an evolutionary algorithm
Uploaded: 2012-12-09T17:00:00
Description: Watch this Scientific Journal Video about Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm at JoVE.com

Denne forskningen ble finansiert delvis fra støtte fra det amerikanske Environmental Protection Agency Målrettet Nedbørsfelt Grants Program (Prosjekt # WS97704801), National Science Foundation Dynamics av ​​koblet Natural and Human Systems (Prosjekt # DEB1010259-CARD-KLIN), og US Department Landbruks-National Institute of foodand Landbruksdepartementets Coordinated Agricultural Project (Prosjekt # 20116800230190-CARD-).

1. Forbered Watershed modell og gi innspill Data for optimalisering <ol><li> Lag en i_SWAT database <ol><li> Ved hjelp av et program kalt &quot;rotator&quot;, bygge databasen fra flere input databaser, inkludert jord, vær, ledelse og gjødsel. </li><li> Alternativt kan en eksisterende SWAT run (muligens laget med ArcSWAT eller AVSWAT) bli importert med i_SWAT.exe. I dette tilfellet, programmet &quot;swat_rewrite&quot; kan brukes til å erstatte ledelsen eller annen HRU informasjon basert på felt-nivå data. </li><li...

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	<li>American Society of Agricultural and Biological Engineers. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Design,+layout,+construction,+and+maintenance+of+terrace+systems.">Design, layout, construction, and maintenance of terrace systems.</a> ASAE Standard. , S268 (2003).</li><li>. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Raccoon River Watershed water quality master plan. , (2011).</li><li>Arabi, M., Govindaraju, R. S., Hantush, M. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Cost-effective+allocation+of+watershed+management+practices+using+a+genetic+algorithm.">Cost-effective allocation of watershed management practices using a genetic algorithm.</a> Water Resour. Res. 42, W10429 (2006).</li><li>Bekele, E. G., Nicklow, J. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Multiobjective+management+of+ecosystem+services+by+integrative+watershed+modeling+and+evolutionary+algorithms.">Multiobjective management of ecosystem services by integrative watershed modeling and evolutionary algorithms.</a> Water Resour. Res. 41, W10406 (2005).</li><li>Carpentier, C. L., Bosch, D. J., Batie, S. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Using+spatial+information+to+reduce+costs+of+controlling+agricultural+nonpoint+source+pollution.">Using spatial information to reduce costs of controlling agricultural nonpoint source pollution.</a> Am. J. Agr. Econ. 61, 404-413 (1998).</li><li>Gassman, P. W., Reyes, M., Green, C. H., Arnold, J. G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+Soil+and+Water+Assessment+Tool:+Historical+development,+applications,+and+future+directions.">The Soil and Water Assessment Tool: Historical development, applications, and future directions.</a> Trans. ASABE. 50 (4), 1211-1250 (2007).</li><li>Gassman, P. W., Campbell, T., Secchi, S., Jha, M., Arnold, J. G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+i_SWAT+software+package:+a+tool+for+supporting+SWAT+watershed+applications.">The i_SWAT software package: a tool for supporting SWAT watershed applications.</a> , 66-69 .</li><li>Gitau, M. W., Veith, T. L., Gburek, W. J., Jarrett, A. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Watershed+level+best+management+practice+selection+and+placement+in+the+Town+Brook+watershed,+New+York.">Watershed level best management practice selection and placement in the Town Brook watershed, New York.</a> J. Am. Water Resour. Assoc. 42, 1565-1581 (2006).</li><li>Jha, M., Rabotyagov, S., Gassman, P. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Optimal+placement+of+conservation+practices+using+genetic+algorithms+with+SWAT.">Optimal placement of conservation practices using genetic algorithms with SWAT.</a> Int. Agr. Eng. J. 18 (1-2), 41-50 (2009).</li><li>Jha, M. K., Wolter, C. F., Schilling, K. E., Gassman, P. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Assessment+of+total+maximum+daily+load+implementation+strategies+for+nitrate+impairment+of+the+Raccoon+River,+Iowa.">Assessment of total maximum daily load implementation strategies for nitrate impairment of the Raccoon River, Iowa.</a> J. Envir. Qual. 39, 1317-1327 (2010).</li><li>Kanna, M., Yang, W., Farnsworth, R., Onal, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Cost+effective+targeting+of+CREP+to+improve+water+quality+with+endogenous+sediment+deposition+coefficients.">Cost effective targeting of CREP to improve water quality with endogenous sediment deposition coefficients.</a> Am. J. Agr. Econ. 85, 538-553 (2003).</li><li>Kramer, R. A., McSweeny, W. T., Kerns, W. R., Stravros, R. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+evaluation+of+alternative+policies+for+controlling+agricultural+nonpoint+source+pollution.">An evaluation of alternative policies for controlling agricultural nonpoint source pollution.</a> Water Resour. Bull. 20, 841-8446 (1984).</li><li>Lant, C. L., Kraft, S. E., Beaulieu, J., Bennett, D., Loftus, T., Nicklow, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Using+GIS-based+ecological-economic+modeling+to+evaluate+policies+affecting+agricultural+watersheds.">Using GIS-based ecological-economic modeling to evaluate policies affecting agricultural watersheds.</a> Ecol. Econ. 55, 467-484 (2005).</li><li>Muleta, M. K., Nicklow, J. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Evolutionary+algorithms+for+multiobjective+evaluation+of+watershed+management+decisions.">Evolutionary algorithms for multiobjective evaluation of watershed management decisions.</a> J. Hydroinform. 4 (2), 83-97 (2002).</li><li>Muleta, M. K., Nicklow, J. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Decision+support+for+watershed+management+using+evolutionary+algorithms.">Decision support for watershed management using evolutionary algorithms.</a> J. Water Resour. Plan. Manag. 131 (1), 35-44 (2005).</li><li>Rabotyagov, S. S., Campbell, T., Jha, M., Gassman, P. W., Arnold, J., Kurkalova, L., Secchi, S., Feng, H., Kling, C. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Least+Cost+Control+of+Agricultural+Nutrient+Contributions+to+the+Gulf+of+Mexico+Hypoxic+Zone.">Least Cost Control of Agricultural Nutrient Contributions to the Gulf of Mexico Hypoxic Zone.</a> Ecol. Appl. 20, 1542-1555 (2010).</li><li>Rabotyagov, S., Jha, M., Campbell, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Impact+of+crop+rotations+on+optimal+selection+of+conservation+practices+for+water+quality+protection.">Impact of crop rotations on optimal selection of conservation practices for water quality protection.</a> J. Soil. Water Conserv. 65 (6), 369-380 (2010).</li><li>Rabotyagov, S. S., Jha, M., Campbell, T. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Nonpoint-source+pollution+for+an+Iowa+watershed:+An+application+of+evolutionary+algorithms.">Nonpoint-source pollution for an Iowa watershed: An application of evolutionary algorithms.</a> Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie. , (2010).</li><li>Rabotyagov, S. S., Jha, M., Campbell, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Searching+for+Efficiency:+Least+Cost+Nonpoint+Source+Pollution+Control+with+Multiple+Pollutants,+Practices,+and+Targets.">Searching for Efficiency: Least Cost Nonpoint Source Pollution Control with Multiple Pollutants, Practices, and Targets.</a> J. Nat. and Environ. Sci. 1, 75-90 (2010).</li><li>Ribaudo, M. O. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Consideration+of+off-site+impacts+in+targeting+soil+conservation+programs.">Consideration of off-site impacts in targeting soil conservation programs.</a> Land Econ. 62, 402-411 (1986).</li><li>Ribaudo, M. O. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Targeting+the+conservation+reserve+program+to+maximize+water+quality+benefits.">Targeting the conservation reserve program to maximize water quality benefits.</a> Land Econ. 65, 320-332 (1989).</li><li>Srivastava, P., Hamlett, J. M., Robillard, P. D., Day, R. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Watershed+optimization+of+best+management+practices+using+AnnAGNPS+and+a+genetic+algorithm.">Watershed optimization of best management practices using AnnAGNPS and a genetic algorithm.</a> Water Resour. Res. 38 (3), 1-14 (2002).</li><li>Veith, T. L., Wolfe, M. L., Heatwole, C. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Development+of+optimization+procedure+for+cost-effective+BMP+placement.">Development of optimization procedure for cost-effective BMP placement.</a> J. Am. Water Resour. Assoc. 39 (6), 1331-1343 (2003).</li><li>Whittaker, G., Confesor, R., Griffith, S. M., F&#228;re, R., Grosskopf, S., Steiner, J. J., Mueller-Warrant, G. W., Banowetz, G. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+Hybrid+Genetic+Algorithm+for+Multiobjective+Problems+with+Activity+Analysis-based+Local+Search.">A Hybrid Genetic Algorithm for Multiobjective Problems with Activity Analysis-based Local Search.</a> Eur. J. Operat. Res. , (2007).</li><li>Zitzler, E., Laumanns, M., Thiele, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=SPEA2:+Improving+the+Strength+Pareto+Evolutionary+Algorithm+for+Multiobjective+Optimization.">SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization.</a> CIMNE. , 95-100 (2002).</li></ol>

Vi bygger en integrert simulering-optimalisering rammeverk for å søke etter Pareto-effektive sett med vannskille konfigurasjoner som involverer laveste kost blanding og plassering av landbruksprodukter bevaring praksis for å oppnå en rekke vannskille-nivå næringsstoff reduksjon mål. Et konseptuelt diagram av simulering-optimalisering system er angitt i figur 8. Vannskille simulering, inkludert simulere vannkvalitet konsekvensene av landbruket bevaring praksis håndteres av hydrologiske modellen, ...

spatial multiobjective optimization of agricultural conservation practices using a swat model and an evolutionary algorithm

Finne kostnadseffektive (dvs. laveste kost) måter å målrette bevaring praksis investeringer for å oppnå konkrete vannkvalitet mål over landskapet er av stor betydning i vannskilleforvaltning. Tradisjonelle økonomi metoder for å finne den laveste kost løsning i vannskillet kontekst (f.eks 5,12,20) anta at off-site virkninger kan være nøyaktig beskrevet som en del av on-site forurensning generert. Slike tilnærminger er usannsynlig å være representative for den faktiske forurensningen prosessen i et vannskille, hvor konsekvensene av forurensende kilder er ofte bestemt av komplekse biofysiske prosesser. Bruk av moderne fysisk-baserte, romlig fordelte hydrologiske simuleringsmodeller gir en større grad av realisme i form av prosess representasjon men krever en videreutvikling av en simulering-optimalisering rammeverk hvor modellen blir en integrert del av optimalisering. EvolusjonAry algoritmer synes å være en spesielt nyttig optimalisering verktøy, i stand til å håndtere den kombinatoriske natur et vannskille simulering-optimalisering problem og tillate bruk av full vannkvalitet modell. Evolusjonære algoritmer behandle en bestemt romlig fordeling av bevaring praksis i et vannskille som kandidat løsning og utnytte sett (populasjoner) av kandidat løsninger iterativt søker stokastiske operatører av utvalget, rekombinasjon og mutasjon for å finne forbedringer med hensyn til optimalisering mål. Optimalisering mål i denne saken er å minimere nonpoint-source forurensning i vassdraget, samtidig minimere kostnadene for bevaring praksis. En fersk og utvide sett av forskning forsøker å bruke lignende metoder og integrerer vannkvalitet modeller med bredt definerte evolusjonære optimeringsmetoder 3,4,9,10,13-15,17-19,22,23,25. I dette programmet, viser vi et program som følger Rabotyagov et al. &#39;S hensiktsach og integrerer en moderne og brukte SWAT vannkvalitet modell 7 med en multiobjective evolusjonær algoritme SPEA2 26, og bruker-spesifisert sett av bevaring praksis og deres kostnader for å søke etter de komplette tradeoff grenser mellom kostnadene ved bevaring praksis og brukerdefinert vannkvalitet mål. Grensene kvantifisere avveininger står overfor vannskille ledere ved å presentere hele spekteret av kostnader forbundet med ulike vann kvalitetsforbedring mål. Programmet gir mulighet for et utvalg av vannskille konfigurasjoner oppnå spesifiserte vannkvalitet forbedringsmål og en produksjon av kart over optimalisert plassering av bevaring praksis.

Watch this Scientific Journal Video about Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm at JoVE.com

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Dette arbeidet viser en integrering av en vannkvalitet modell med en optimalisering komponent utnytte evolusjonære algoritmer for å løse for optimal (laveste kost) plassering av landbruket bevaring praksis for et angitt sett av vann kvalitetsforbedring mål. Løsningene er generert ved hjelp av en multi-objektiv tilnærming, noe som åpner for eksplisitt kvantifisering av avveininger.

Spatial Multiobjective Optimalisering av Agricultural Conservation Practices ved hjelp av en SWAT Modell og en evolusjonær algoritme

Finding the cost-efficient (i.e., lowest-cost) ways of targeting conservation practice investments for the achievement of specific water quality goals ...

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