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Understanding Economics and Water Quality Impacts of Agricultural BMPs in a Suburban Watershed in New Jersey

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Abstract:

The economic and water quality impacts of agricultural best management practices (BMPs) at a watershed scale have been poorly understood, especially in a suburban setting like New Jersey. An integrated modeling framework is used to assess the economic and water quality impacts, and strategic placements of agricultural BMPs in the 31 square miles of the Neshanic River watershed located in Hunterdon County, New Jersey. The watershed has only 40 percent of agricultural lands and represents typical natural resource conditions and water quality problems in New Jersey. The water quality impacts of agricultural BMPs are evaluated using the Soil and Water Assessment Tool (SWAT). The economic impacts of those BMPs are based on the crop yields simulated by SWAT and the costs and returns estimated by an enterprise budget generator. The economic and water quality impacts are used in an cost-effective economic model to evaluate the strategic placement of BMPs for achieving the water quality goals on the total phosphorus and fecal coliform in the watershed This results provide essential information to evaluate the potential of achieving water quality improvement through reducing agricultural water pollution and facilitate discussions on water quality trading between point and nonpoint (such as agricultural) sources in suburban settings. The results on the water quality impacts of conservation practices in suburban settings will complement the national Conservation Effects Assessment Projects program that focuses on the big agricultural states.
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Association:
Name: SOIL AND WATER CONSERVATION SOCIETY
URL:
http://www.swcs.org


Citation:
URL: http://citation.allacademic.com/meta/p235640_index.html
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MLA Citation:

Qiu, Zeyuan. "Understanding Economics and Water Quality Impacts of Agricultural BMPs in a Suburban Watershed in New Jersey" Paper presented at the annual meeting of the SOIL AND WATER CONSERVATION SOCIETY, TBA, Tucson, Arizona, Jul 26, 2008 <Not Available>. 2013-12-14 <http://citation.allacademic.com/meta/p235640_index.html>

APA Citation:

Qiu, Z. , 2008-07-26 "Understanding Economics and Water Quality Impacts of Agricultural BMPs in a Suburban Watershed in New Jersey" Paper presented at the annual meeting of the SOIL AND WATER CONSERVATION SOCIETY, TBA, Tucson, Arizona <Not Available>. 2013-12-14 from http://citation.allacademic.com/meta/p235640_index.html

Publication Type: Oral Presentation
Abstract: The economic and water quality impacts of agricultural best management practices (BMPs) at a watershed scale have been poorly understood, especially in a suburban setting like New Jersey. An integrated modeling framework is used to assess the economic and water quality impacts, and strategic placements of agricultural BMPs in the 31 square miles of the Neshanic River watershed located in Hunterdon County, New Jersey. The watershed has only 40 percent of agricultural lands and represents typical natural resource conditions and water quality problems in New Jersey. The water quality impacts of agricultural BMPs are evaluated using the Soil and Water Assessment Tool (SWAT). The economic impacts of those BMPs are based on the crop yields simulated by SWAT and the costs and returns estimated by an enterprise budget generator. The economic and water quality impacts are used in an cost-effective economic model to evaluate the strategic placement of BMPs for achieving the water quality goals on the total phosphorus and fecal coliform in the watershed This results provide essential information to evaluate the potential of achieving water quality improvement through reducing agricultural water pollution and facilitate discussions on water quality trading between point and nonpoint (such as agricultural) sources in suburban settings. The results on the water quality impacts of conservation practices in suburban settings will complement the national Conservation Effects Assessment Projects program that focuses on the big agricultural states.

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