Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1007/s11269-013-0503-0
Volltext Shareable Link
Titel (primär) Spatial optimization of best management practices to attain water quality targets
Autor Gaddis, E.J.B.; Voinov, A.; Seppelt, R.; Rizzo, D.M.
Quelle Water Resources Management
Erscheinungsjahr 2014
Department CLE
Band/Volume 28
Heft 6
Seite von 1485
Seite bis 1499
Sprache englisch
Supplements https://static-content.springer.com/esm/art%3A10.1007%2Fs11269-013-0503-0/MediaObjects/11269_2013_503_MOESM1_ESM.docx
https://static-content.springer.com/esm/art%3A10.1007%2Fs11269-013-0503-0/MediaObjects/11269_2013_503_MOESM2_ESM.docx
https://static-content.springer.com/esm/art%3A10.1007%2Fs11269-013-0503-0/MediaObjects/11269_2013_503_MOESM3_ESM.docx
Keywords Optimization; Watershed management; Best management practices; BMPs; Diffuse pollution
UFZ Querschnittsthemen RU1
Abstract Diffuse nutrient loads are a common problem in developed and agricultural watersheds. While there has been substantial investment in best management practices (BMPs) to reduce diffuse pollution, there remains a need to better prioritize controls at the watershed scale as reflected in recent US-EPA guidance for watershed planning and Total Maximum Daily Load development. We implemented spatial optimization techniques among four diffuse source pathways in a mixed-use watershed in Northern Vermont to maximize total reduction of phosphorus loading to streams while minimizing associated costs. We found that within a capital cost range of 138 to 321 USD ha-1 a phosphorus reduction of 0.29 to 0.38 kg ha−1 year−1, is attainable. Optimization results are substantially more cost-effective than most scenarios identified by stakeholders. The maximum diffuse phosphorus load reduction equates to 1.25 t year−1using the most cost-effective technologies for each diffuse source at a cost of $3,464,260. However, 1.13 t year−1 could be reduced at a much lower cost of $976,417. This is the practical upper limit of achievable diffuse phosphorus reduction, above which additional spending would not result in substantially more phosphorus reduction. Watershed managers could use solutions along the resulting Pareto optimal curve to select optimal combinations of BMPs based on a water quality target or available funds. The results demonstrate the power of using spatial optimization methods to arrive at a cost-effective selection of BMPs and their distribution across a landscape.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=14700
Gaddis, E.J.B., Voinov, A., Seppelt, R., Rizzo, D.M. (2014):
Spatial optimization of best management practices to attain water quality targets
Water Resour. Manag. 28 (6), 1485 - 1499 10.1007/s11269-013-0503-0