Watershed optimization of best management practices using AnnAGNPS and a genetic algorithm

P. Srivastava, J. M. Hamlett, P. D. Robillard, Rick Lane Day

Research output: Contribution to journalArticle

100 Citations (Scopus)

Abstract

An optimization algorithm linked with a nonpoint source (NPS) pollution model can be used to optimize NPS pollution control strategies on a field-by-field basis in a watershed by maximizing NPS pollution reduction and net monetary return. In this paper a methodology is described which integrated a genetic algorithm (GA) (an optimization algorithm) with a continuous simulation, watershed-scale, NPS pollution model, Annualized Agricultural Non-Point Source Pollution model (AnnAGNPS) to optimize the selection of best management practices (BMP) on a field-by-field basis for an entire watershed. To test the methodology, optimization analysis was performed for a U.S. Department of Agriculture experimental watershed in Pennsylvania to identify BMPs that minimized long-term (over a 4-year period) water quality degradation and maximized net farm return on an annual basis. Results indicate that the GA was able to identify BMP schemes that reduced pollutant load by as much as 56% and increased net annual return by 109%.

Original languageEnglish (US)
Pages (from-to)31-314
Number of pages284
JournalWater Resources Research
Volume38
Issue number3
StatePublished - Mar 1 2002

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nonpoint source pollution
best management practice
genetic algorithm
watershed
methodology
pollution control
farm
agriculture
water quality
degradation
simulation

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

Cite this

Srivastava, P., Hamlett, J. M., Robillard, P. D., & Day, R. L. (2002). Watershed optimization of best management practices using AnnAGNPS and a genetic algorithm. Water Resources Research, 38(3), 31-314.
Srivastava, P. ; Hamlett, J. M. ; Robillard, P. D. ; Day, Rick Lane. / Watershed optimization of best management practices using AnnAGNPS and a genetic algorithm. In: Water Resources Research. 2002 ; Vol. 38, No. 3. pp. 31-314.
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Srivastava, P, Hamlett, JM, Robillard, PD & Day, RL 2002, 'Watershed optimization of best management practices using AnnAGNPS and a genetic algorithm', Water Resources Research, vol. 38, no. 3, pp. 31-314.

Watershed optimization of best management practices using AnnAGNPS and a genetic algorithm. / Srivastava, P.; Hamlett, J. M.; Robillard, P. D.; Day, Rick Lane.

In: Water Resources Research, Vol. 38, No. 3, 01.03.2002, p. 31-314.

Research output: Contribution to journalArticle

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Srivastava P, Hamlett JM, Robillard PD, Day RL. Watershed optimization of best management practices using AnnAGNPS and a genetic algorithm. Water Resources Research. 2002 Mar 1;38(3):31-314.