Literature DB >> 22459068

Evaluation of targeting methods for implementation of best management practices in the Saginaw River Watershed.

Subhasis Giri1, A Pouyan Nejadhashemi, Sean A Woznicki.   

Abstract

Increasing concerns regarding water quality in the Great Lakes region are mainly due to changes in urban and agricultural landscapes. Both point and non-point sources contribute pollution to Great Lakes surface waters. Best management practices (BMPs) are a common tool used to reduce both point and non-point source pollution and improve water quality. Meanwhile, identification of critical source areas of pollution and placement of BMPs plays an important role in pollution reduction. The goal of this study is to evaluate the performance of different targeting methods in 1) identifying priority areas (high, medium, and low) based on various factors such as pollutant concentration, load, and yield, 2) comparing pollutant (sediment, total nitrogen-TN, and total phosphorus-TP) reduction in priority areas defined by all targeting methods, 3) determine the BMP relative sensitivity index among all targeting methods. Ten BMPs were implemented in the Saginaw River Watershed using the Soil and Water Assessment Tool (SWAT) model following identification of priority areas. Each targeting method selected distinct high priority areas based on the methodology of implementation. The concentration based targeting method was most effective at reduction of TN and TP, likely because it selected the greatest area of high priority for BMP implementation. The subbasin load targeting method was most effective at reducing sediment because it tended to select large, highly agricultural subbasins for BMP implementation. When implementing BMPs, native grass and terraces were generally the most effective, while conservation tillage and residue management had limited effectiveness. The BMP relative sensitivity index revealed that most combinations of targeting methods and priority areas resulted in a proportional decrease in pollutant load from the subbasin level and watershed outlet. However, the concentration and yield methods were more effective at subbasin reduction, while the stream load method was more effective at reducing pollutants at the watershed outlet. The results of this study indicate that emphasis should be placed on selection of the proper targeting method and BMP to meet the needs and goals of a BMP implementation project because different targeting methods produce varying results. Published by Elsevier Ltd.

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Year:  2012        PMID: 22459068     DOI: 10.1016/j.jenvman.2012.02.033

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  11 in total

1.  Analysis of field-scale spatial correlations and variations of soil nutrients using geostatistics.

Authors:  Ruimin Liu; Fei Xu; Wenwen Yu; Jianhan Shi; Peipei Zhang; Zhenyao Shen
Journal:  Environ Monit Assess       Date:  2016-01-29       Impact factor: 2.513

2.  In-time source tracking of watershed loads of Taihu Lake Basin, China based on spatial relationship modeling.

Authors:  Ce Wang; Jun Bi; Xu-Xiang Zhang; Qiang Fang; Yi Qi
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-25       Impact factor: 4.223

3.  Meeting Water Quality Goals by Spatial Targeting of Best Management Practices under Climate Change.

Authors:  Yuelu Xu; Darrell J Bosch; Moges B Wagena; Amy S Collick; Zachary M Easton
Journal:  Environ Manage       Date:  2019-01-11       Impact factor: 3.266

4.  WTP and WWTP sludge management: a case study in the metropolitan area of Campinas, southeastern Brazil.

Authors:  Rodrigo Custodio Urban; Ricardo de Lima Isaac
Journal:  Environ Monit Assess       Date:  2018-09-12       Impact factor: 2.513

5.  An ecological function and services approach to total maximum daily load (TMDL) prioritization.

Authors:  Robert K Hall; David Guiliano; Sherman Swanson; Michael J Philbin; John Lin; Joan L Aron; Robin J Schafer; Daniel T Heggem
Journal:  Environ Monit Assess       Date:  2014-01-17       Impact factor: 2.513

6.  Cost-effectiveness and cost-benefit analysis of BMPs in controlling agricultural nonpoint source pollution in China based on the SWAT model.

Authors:  Ruimin Liu; Peipei Zhang; Xiujuan Wang; Jiawei Wang; Wenwen Yu; Zhenyao Shen
Journal:  Environ Monit Assess       Date:  2014-09-19       Impact factor: 2.513

7.  Comparing the selection and placement of best management practices in improving water quality using a multiobjective optimization and targeting method.

Authors:  Li-Chi Chiang; Indrajeet Chaubey; Chetan Maringanti; Tao Huang
Journal:  Int J Environ Res Public Health       Date:  2014-03-11       Impact factor: 3.390

8.  Uncertainty analysis for an effluent trading system in a typical nonpoint-sources-polluted watershed.

Authors:  Lei Chen; Zhaoxing Han; Guobo Wang; Zhenyao Shen
Journal:  Sci Rep       Date:  2016-07-11       Impact factor: 4.379

9.  An auto-adaptive optimization approach for targeting nonpoint source pollution control practices.

Authors:  Lei Chen; Guoyuan Wei; Zhenyao Shen
Journal:  Sci Rep       Date:  2015-10-21       Impact factor: 4.379

10.  A topography analysis incorporated optimization method for the selection and placement of best management practices.

Authors:  Zhenyao Shen; Lei Chen; Liang Xu
Journal:  PLoS One       Date:  2013-01-21       Impact factor: 3.240

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