Multi‐objective optimization for diffuse pollution control at zero cost

Soil Use and Management - Tập 29 Số s1 - Trang 83-93 - 2013
Yiannis Panagopoulos1, Christos Makropoulos1, Maria Mimikou1
1Laboratory of Hydrology and Water Resources Management, Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens (NTUA), 5, Iroon Politechniou Street, 15780 Zografou, Athens, Greece

Tóm tắt

AbstractAgricultural best management practices (BMPs) are gaining ground as a means of mitigating diffuse nutrient pollution of surface waters in agricultural catchments; however, their cost‐effectiveness depends on the location‐specific characteristics of the land on which they are applied. To identify acceptable catchment management solutions with respect to environmental and economic objectives, a decision support tool (DST) is used in this study. The DST integrates the river basin soil and water assessment tool (SWAT) model that serves as the nonpoint source pollution estimator into an optimization framework consisting of a multi‐objective genetic algorithm that searches for optimal selection and location of BMPs in the landscape. A three‐objective optimization problem has been previously solved for the Arachtos catchment in western Greece including the implementation costs of several types of BMPs such as nutrient application, crop, soil and livestock management and total annual diffuse losses of total phosphorus (TP) and nitrate‐nitrogen (NO3‐N) from land to surface waters. In the present study, a solution of negligible total cost for the whole catchment was selected from optimal two‐dimensional trade‐off curves of cost‐TP and cost‐NO3‐N, aiming to complement previously analysed management options and further enhance decision‐making in this catchment. The zero cost solution led to 30 and 20% reductions in TP and NO3‐N river concentrations, respectively, corresponding to contour cultivation without tillage in corn, fertilizer management in alfalfa as well as livestock and manure management along with the establishment of filter strips at the edge of some corn and pastureland fields. The proposed methodology enabled the identification of a low cost, and possibly more favourable, compared to previous findings, combination of BMPs that ensures good quality of river water. It helps to provide the basis for sustainable land‐use planning and management in large agricultural landscapes, thus aiding decision‐making and cost‐effective implementation of Environmental Directives.

Từ khóa


Tài liệu tham khảo

10.1029/2006WR004931

10.1002/hyp.6890

10.1111/j.1752-1688.1998.tb05961.x

10.1029/2005WR004090

10.1016/j.scitotenv.2008.07.015

Deb Κ., 2001, Multi‐objective optimization using evolutionary algorithms

10.1109/4235.996017

EEA‐ETC./TE.2002.CORINE Land Cover update. I&CLC 2000 project Technical Guidelines. Available at:http://etc-lusi.eionet.europa.eu/; accessed 15/10/2010.

European Parliament, 2000, Directive 2000/60/EC of 23 October 2000 establishing a framework for Community action in the field of water policy, Official Journal of the European Communities, 327, 16

Eurostat.2000. Available at:http://epp.eurostat.ec.europa.eu; accessed 15/10/2010.

10.1111/j.1752-1688.2006.tb06021.x

Goldberg D.E., 1989, Genetic algorithms in search, optimization and machine learning

10.1002/esp.2042

10.1017/S0021859606006216

10.1016/j.jhydrol.2004.07.043

Jha M., 2009, Optimal placement of conservation practices using genetic algorithm with swat, International Agricultural Engineering Journal, 18, 41

10.1111/j.1475-2743.2007.00113.x

10.1029/2008WR007094

MATLAB.2010.Global Optimization Toolbox User's Guide. Available at:http://www.mathworks.com/access/helpdesk/help/pdf_doc/gads/gads_tb.pdf; accessed 15/02/2010.

10.1061/(ASCE)0733-9496(2005)131:1(35)

Neitsch S.L., 2005, Soil and water assessment tool – theoretical documentation – version 2005

10.1061/(ASCE)WR.1943-5452.0000053

Panagopoulos Y.2010.Decision making for planning sustainable measures for water quality protection against non‐point source pollution. Unpublished PhD Dissertation.Department of Water Resources and Environmental Engineering School of Civil Engineering National Technical University of Athens Greek. December 2010. Available at:http://dspace.lib.ntua.gr/handle/123456789/3844; accessed 15/01/2011.

10.1016/j.ecolmodel.2011.08.008

10.1016/j.jenvman.2011.06.035

10.1016/j.envsoft.2011.11.006

10.1890/08-0680.1

10.1016/j.scitotenv.2005.05.018

10.1029/2001WR000365

10.1111/j.1475-2743.2007.00122.x

USDA Soil Conservation Service, 1972, Section 4: hydrology in national engineering handbook

10.1111/j.1752-1688.2003.tb04421.x

10.1111/j.1752-1688.1975.tb01817.x

Williams J.R., 1984, EPIC – a new model for assessing erosion's effect on soil productivity, Journal of Soil and Water Conservation, 38, 381

Thông tin
Thông tin xuất bản

Soil Use and Management

Tập 29 Số s1

83-93

Thông tin tác giả