Development of a constructed wetland network for mitigating nonpoint source pollution through a GIS-based watershed-scale inexact optimization approach

Dai, Chao; Guo, Hao; Tan, Qian; Ren, Weili

doi:10.1016/j.ecoleng.2015.06.013

Cited by 29 publications

(11 citation statements)

References 55 publications

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“…The development of a circular economy in which water is reused and recycled will be key to ensuring sustainability, and this will require effective management strategies at the four stages of the wastewater management cycle: pollution reduction, wastewater collection and treatment, reuse of wastewater, recovery of useful by-products [195]. Within the mathematical programming literature, various aspects of wastewater management have been considered, including pollution reduction [39,43,134,175], water treatment [33,206], and the reuse of wastewater [98,106,169,219,238]. The call for a circular economy motivates further research, particularly in the areas of wastewater reuse and by-product recovery, which are unrepresented in the literature.…”

Section: Water Qualitymentioning

confidence: 99%

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Archibald

Marshall

2018

Environ Model Assess

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Economic development, variation in weather patterns and natural disasters focus attention on the management of water resources. This paper reviews the literature on the development of mathematical programming models for water resource management under uncertainty between 2010 and 2017. A systematic search of the academic literature identified 448 journal articles on water resource management for examination. Bibliometric analysis is employed to investigate the methods that researchers are currently using to address this problem and to identify recent trends in research in the area. The research reveals that stochastic dynamic programming and multistage stochastic programming are the methods most commonly applied. Water resource allocation, climate change, water quality and agricultural irrigation are amongst the most frequently discussed topics in the literature. A more detailed examination of the literature on each of these topics is included. The findings suggest that there is a need for mathematical programming models of large-scale water systems that deal with uncertainty and multiobjectives in an effective and computationally efficient way.

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Section: Water Qualitymentioning

confidence: 99%

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Archibald

Marshall

2018

Environ Model Assess

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“…Subsequently, these studies also point to the challenges in determining the effectiveness of wetland restoration at large spatial scales and identifying optimal places for restoration to maximize water quality benefits at a given cost. However, to address these research needs, limited attempts have been made to develop robust wetland prioritization frameworks based on P retention benefits and restoration costs at the watershed scale (Newbold 2005, Dai et al 2016. Using a GIS-based fuzzy stochastic algorithm, Dai et al (2016) demonstrated the potential of prioritizing topography derived wetlands in retaining P and N in a watershed (∼600 km 2 ) of China.…”

Section: Introductionmentioning

confidence: 99%

“…However, to address these research needs, limited attempts have been made to develop robust wetland prioritization frameworks based on P retention benefits and restoration costs at the watershed scale (Newbold 2005, Dai et al 2016. Using a GIS-based fuzzy stochastic algorithm, Dai et al (2016) demonstrated the potential of prioritizing topography derived wetlands in retaining P and N in a watershed (∼600 km 2 ) of China. Initially, Newbold (2005) showed the application of a simple heuristic-based prioritization approach based on N retention capacity and restoration cost of wetlands in select watersheds of California, USA.…”

Section: Introductionmentioning

confidence: 99%

Optimizing wetland restoration to improve water quality at a regional scale

Singh

Gourevitch

Wemple

et al. 2019

Environ. Res. Lett.

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Excessive phosphorus (P) export to aquatic ecosystems can lead to impaired water quality. There is a growing interest among watershed managers in using restored wetlands to retain P from agricultural landscapes and improve water quality. We develop a novel framework for prioritizing wetland restoration at a regional scale. The framework uses an ecosystem service model and an optimization algorithm that maximizes P reduction for given levels of restoration cost. Applying our framework in the Lake Champlain Basin, we find that wetland restoration can reduce P export by 2.6% for a budget of $50 M and 5.1% for a budget of $200 M. Sensitivity analysis shows that using finer spatial resolution data for P sources results in twice the P reduction benefits at a similar cost by capturing hot-spots on the landscape. We identify 890 wetlands that occur in more than 75% of all optimal scenarios and represent priorities for restoration. Most of these wetlands are smaller than 7 ha with contributing area less than 100 ha and are located within 200 m of streams. Our approach provides a simple yet robust tool for targeting restoration efforts at regional scales and is readily adaptable to other restoration strategies.

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“…Temporal characteristics of the point sources of pollution have also been described by a probability distribution of WWTP effluent concentrations [16,17]. Further, a number of studies have investigated rainfall nonpoint source pollution processes in urban and rural areas [18,19]. Based on these in situ monitoring data, the spatio-temporal distribution of nutrient loads into Dianchi Lake have been evaluated with export coefficient models [20][21][22] and nonpoint source pollution models [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Temporal Variation and Reduction Strategy of Nutrient Loads from an Urban River Catchment into a Eutrophic Lake, China

Qin

Li²,

Xie

et al. 2019

Water

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Excessive nutrient input from urban areas increases the occurrence of eutrophication. Control of nutrient loads is perceived as the primary restoration method. Quantifying temporal variation of nutrient loads is essential to understand the dynamic relationships of nutrient source-impacts in the urban water system and investigate the operational efficiency of treatment facilities for eutrophication control. Here, a holistic approach was developed to estimate nutrient loads from different sources and evaluate nutrient impacts on the urban water environment. An integrated catchment model of nutrient loads was built and applied to calculate river nutrient loads from untreated rainfall runoff, untreated sewage, and treated recharge into the eutrophic Dianchi Lake from an urban river catchment with limited infrastructure. Nutrient impacts on the lake were evaluated and a load reduction strategy was given a hint to reduce nutrient impacts of urban rivers. During the study period 2014–2016, nutrient loads from the urban river generally decreased except during heavy winter rainfall events and high-intensity pollution events associated with rainfall runoff. The average contribution of annual nutrient loads to the lake capacity indicated the underestimation of nutrient impacts of urban rivers. This approach provides new insights into urban water management and underscores the importance of sewage infrastructure.

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Development of a constructed wetland network for mitigating nonpoint source pollution through a GIS-based watershed-scale inexact optimization approach

Cited by 29 publications

References 55 publications

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Optimizing wetland restoration to improve water quality at a regional scale

Temporal Variation and Reduction Strategy of Nutrient Loads from an Urban River Catchment into a Eutrophic Lake, China

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