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Title: Exploring Effective Best Management Practices in the Miyun Reservoir Watershed, China

Abstract

Miyun reservoir watershed is a major source of drinking water for China’s capital, Beijing, which has a population of 21.75 million. Recently, the capacity of the Miyun reservoir to supply clean drinking water is threatened by increasing eutrophication (or algae bloom), mainly due to the discharge of wastewater and excessive fertilization application in the upstream watershed. Therefore, there is an urgent need to design effective best management practices (BMPs) to reduce upstream nutrient load and improve water quality in the Miyun reservoir. In this study, we built a watershed model (i.e. the Soil and Water Assessment Tool) in the Miyun Reservoir Watershed (MRW), and calibrated and validated it using long term sediment, nitrogen (N) and phosphorus (P) data. Further, we developed a Markov Chain based multi-objective optimization program to explore optimal BMPs with tradeoffs between economic costs and water quality responses. With the watershed model and the multi-objective optimization algorithms, we explored potential effectiveness of BMPs under two scenarios that are currently being considered: scenario 1 assumes funding of BMP implementation is from national grants and targets high water quality standard, while scenario 2 assumes funding is from farmers and targets water quality that barely meet the drinking water standard.more » We found substantial discrepancy between these two scenarios with respect to type and spatial configuration of BMPs and associated economic costs, highlighting the need of reconciling concerns from different stakeholders in order to arrive at a BMP plan that all parties will agree upon. In addition, we found that cross-subwatershed coordination and targeting flood season instead of year-round water quality standards could pronouncedly reduce economic cost of BMP implementation while not substantially degrade water quality. The watershed scale optimization method developed here hold the promise serve as an effective tool to explore tradeoffs between economic costs, water quality improvements, and decisions makers and stakeholders’ concerns in BMPs design, thereby informing sustainable watershed scale water resources management.« less

Authors:
 [1];  [2]; ORCiD logo [3]; ORCiD logo [3]
  1. VISITORS
  2. Beijing Normal University
  3. BATTELLE (PACIFIC NW LAB)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1556878
Report Number(s):
PNNL-SA-129989
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Ecological Engineering
Additional Journal Information:
Journal Volume: 123
Country of Publication:
United States
Language:
English

Citation Formats

Qiu, Jiali, Shen, Zhenyao, Huang, Maoyi, and Zhang, Xuesong. Exploring Effective Best Management Practices in the Miyun Reservoir Watershed, China. United States: N. p., 2018. Web. doi:10.1016/j.ecoleng.2018.08.020.
Qiu, Jiali, Shen, Zhenyao, Huang, Maoyi, & Zhang, Xuesong. Exploring Effective Best Management Practices in the Miyun Reservoir Watershed, China. United States. doi:10.1016/j.ecoleng.2018.08.020.
Qiu, Jiali, Shen, Zhenyao, Huang, Maoyi, and Zhang, Xuesong. Thu . "Exploring Effective Best Management Practices in the Miyun Reservoir Watershed, China". United States. doi:10.1016/j.ecoleng.2018.08.020.
@article{osti_1556878,
title = {Exploring Effective Best Management Practices in the Miyun Reservoir Watershed, China},
author = {Qiu, Jiali and Shen, Zhenyao and Huang, Maoyi and Zhang, Xuesong},
abstractNote = {Miyun reservoir watershed is a major source of drinking water for China’s capital, Beijing, which has a population of 21.75 million. Recently, the capacity of the Miyun reservoir to supply clean drinking water is threatened by increasing eutrophication (or algae bloom), mainly due to the discharge of wastewater and excessive fertilization application in the upstream watershed. Therefore, there is an urgent need to design effective best management practices (BMPs) to reduce upstream nutrient load and improve water quality in the Miyun reservoir. In this study, we built a watershed model (i.e. the Soil and Water Assessment Tool) in the Miyun Reservoir Watershed (MRW), and calibrated and validated it using long term sediment, nitrogen (N) and phosphorus (P) data. Further, we developed a Markov Chain based multi-objective optimization program to explore optimal BMPs with tradeoffs between economic costs and water quality responses. With the watershed model and the multi-objective optimization algorithms, we explored potential effectiveness of BMPs under two scenarios that are currently being considered: scenario 1 assumes funding of BMP implementation is from national grants and targets high water quality standard, while scenario 2 assumes funding is from farmers and targets water quality that barely meet the drinking water standard. We found substantial discrepancy between these two scenarios with respect to type and spatial configuration of BMPs and associated economic costs, highlighting the need of reconciling concerns from different stakeholders in order to arrive at a BMP plan that all parties will agree upon. In addition, we found that cross-subwatershed coordination and targeting flood season instead of year-round water quality standards could pronouncedly reduce economic cost of BMP implementation while not substantially degrade water quality. The watershed scale optimization method developed here hold the promise serve as an effective tool to explore tradeoffs between economic costs, water quality improvements, and decisions makers and stakeholders’ concerns in BMPs design, thereby informing sustainable watershed scale water resources management.},
doi = {10.1016/j.ecoleng.2018.08.020},
journal = {Ecological Engineering},
number = ,
volume = 123,
place = {United States},
year = {2018},
month = {11}
}