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 forskning blev finansieret delvist fra støtten fra det amerikanske Environmental Protection Agency har Målrettet vandskel Grants Program (Project # WS97704801), National Science Foundation Dynamics af koblet naturlige og menneskeskabte systemer (Project # DEB1010259-CARD-KLIN), og det amerikanske Landbrugsministeriet-National Institute of Foodand Landbrugs Koordinerede Agricultural Project (Project # 20116800230190-CARD-).

1. Forbered Watershed Model og give input data til optimering <ol><li> Opret en i_SWAT database <ol><li> Brug et program kaldet &quot;rotator&quot;, bygge databasen fra flere input databaser, herunder jord, vejr, ledelse og gødning. </li><li> Alternativt kan en eksisterende SWAT run (evt. lavet med ArcSWAT eller AVSWAT) importeres med i_SWAT.exe. I dette tilfælde programmet &quot;swat_rewrite&quot; kan anvendes til at erstatte styring eller andre hru information baseret på felt-niveau data. </li><li> Kalibrering og...

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Vi bygger en integreret simulation-optimering rammer for at søge efter Pareto-effektive sæt skelsættende konfigurationer, der involverer laveste omkostninger mix og placering af landbrugs dyrkningsmetoder for at opnå en række vandskel niveau næringsstoffer reduktionsmål. En konceptdiagram af simuleringen-optimering system er vist i figur 8. Watershed simulation, herunder simulere vandkvaliteten virkninger af landbruget dyrkningsmetoder håndteres af hydrologiske model, SWAT2005, kombineret med en...

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

Finde de omkostningseffektive (dvs. laveste omkostninger) målretningsmetoder bevaringspraksis investeringer til opnåelse af specifikke vandkvalitetskrav mål i hele landskabet er af største vigtighed i forvaltningen af afvandingsområder. Traditionelle økonomi metoder til at finde de laveste omkostninger løsning i vandskel sammenhæng (f.eks 5,12,20) antager, at off-site påvirkninger kan præcist kan beskrives som en del af on-site genereret forurening. Sådanne tilgange er usandsynligt, at være repræsentative for den faktiske forurening proces i et vandskel, hvor virkningerne af forurenende kilder er ofte bestemt af komplekse biofysiske processer. Brugen af ​​moderne fysisk-baseret, rumligt fordelte hydrologiske simuleringsmodeller giver mulighed for en større grad af realisme i form af proces repræsentation, men kræver en udvikling af en simulation, optimering ramme, hvor modellen bliver en integreret del af optimeringen. Evolutiondære algoritmer synes at være et særligt nyttigt optimeringsværktøj, kunne behandle det kombinatoriske karakter af en skelsættende simulation-optimeringsproblem og tillader anvendelse af den fulde vandkvaliteten model. Evolutionære algoritmer behandle en bestemt rumlig fordeling af fredning i et vandskel som en kandidat løsning og udnytte sæt (populationer) i kandidatlandene løsninger iterativt anvender stokastiske operatører af udvælgelse, rekombination og mutation for at finde forbedringer med hensyn til optimering mål. De optimering mål i denne sag er at minimere nonpoint forurening i vandskellet, samtidig minimere omkostningerne ved bevarelse praksis. En nylig og voksende sæt af forskningen forsøger at anvende lignende metoder og integrerer vandkvalitet modeller med bredt definerede evolutionære optimeringsmetoder 3,4,9,10,13-15,17-19,22,23,25. I denne ansøgning, viser vi et program, som følger Rabotyagov et al. &#39;S hensigtsach og integrerer et moderne og almindeligt anvendte SWAT vandkvaliteten model 7 med en multiobjective evolutionær algoritme SPEA2 26, og bruger-specificeret sæt bevarelse praksis og deres omkostninger for at søge efter de fuldstændige tradeoff grænser mellem omkostningerne ved bevarelse praksis og bruger-specificeret vandkvalitet målsætninger. De grænser kvantificere de kompromiser står over for de skelsættende ledere ved at præsentere hele spektret af omkostninger forbundet med forskellige vand kvalitetsforbedring mål. Programmet giver mulighed for et udvalg af skelsættende konfigurationer opnå bestemte forbedring af vandkvaliteten mål og en produktion af kort over optimeret placering af bevaringsmetoder.

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 arbejde demonstrerer en integration af et vandkvaliteten model med en optimering komponent anvender evolutionære algoritmer til at løse for optimal (laveste omkostninger) anbringelse af landbrugs dyrkningsmetoder for et angivet sæt forbedring af vandkvaliteten mål. De løsninger genereres ved hjælp af en multi-objektiv tilgang, der giver mulighed for eksplicit kvantificering af kompromiser.

Spatial Multiobjective Optimering af landbrugsprodukter Conservation Practices ved hjælp af en SWAT Model og en Evolutionary Algorithm

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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