Multi-Objective Optimization for Selecting and Siting the Cost-Effective BMPs by Coupling Revised GWLF Model and NSGAII Algorithm

Qi, Zuoda; Kang, Gelin; Xiao-jin, WU; Sun, Yuting; Wang, Yuqiu

doi:10.3390/w12010235

Cited by 13 publications

(8 citation statements)

References 31 publications

(37 reference statements)

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“…The GWLF/ReNuMa model performed well in estimating the yields and source apportionments of watershed streamflows and pollution fluxes (Hu et al 2018;Liu et al 2018). Based on various scenario analyses, the valid GWLF/ReNuMa model can be used to support best management practices (Qi et al 2020) and estimate the impacts of possible climate change on watershed hydrochemical processes (Li et al 2019;Sha et al 2021b). In this study, we used GWLF to model the hydrochemical processes of SDRW to estimate the monthly/annual streamflow and TDN loads in the present and future.…”

Section: Watershed Hydrochemical Process Modelingmentioning

confidence: 99%

The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China

Liu¹,

Chen

Gao

et al. 2022

Journal of Water and Climate Change

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The impacts of future climate change on the watershed streamflow and total dissolved nitrogen (TDN) fluxes upstream of the Danjiang River were estimated. The newest shared socioeconomic pathways (SSP) in CMIP6 were used as a climate change scenario. The ensembles of downscaled GCM outputs from WorldClim were used as future climate change information. A combined modeling approach is proposed, including the Long Ashton Research Station Weather Generator (LARS-WG) model as a weather generator and the generalized watershed loading function (GWLF) model for watershed hydrochemical process model and scenario analysis. The results show that there is generally less annual streamflow but more annual TDN flux under future climate change scenarios. The monthly streamflow and TDN flux increased from May to July and decreased from August to October. Changes in streamflow and TDN fluxes were the greatest in the worst uncontrolled scenario of SSP 5-85, with a 12.1% decrease in annual streamflow in the 2070s and a 4.82% increase in annual TDN flux in the 2090s. This indicates that active climate policies can mitigate the impact of climate change on watersheds. Furthermore, the source apportionments of TDN from agricultural sources will increase to nearly 50% by the 2090s, and targeted management strategies should be implemented.

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Section: Watershed Hydrochemical Process Modelingmentioning

confidence: 99%

The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China

Liu¹,

Chen

Gao

et al. 2022

Journal of Water and Climate Change

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“…Finally, the upper and lower limit values of the programming model are obtained (Li et al, 2019). At present, although many studies about uncertain BMP spatial optimization layout have been conducted, most of the related studies use GA to perform the optimization, among which the constraints on the parameter variables are relatively simple (Qi et al, 2020;Getahun and Keefer, 2016). Few studies can reflect the complex constraints for variables in practical problems.…”

Section: Uncertainty Analysismentioning

confidence: 99%

Spatial Optimization Layout of Best Management Practices through SWAT and Interval Fractional Programming Under Uncertainty

Cao

et al. 2021

Preprint

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Uncertainty in nature and human society affect pollution control efficiency and the rationality of the scheme of spatial optimization layout of best management practices (BMP) for agricultural non-point-source (NPS) pollution treatment. Based on this idea, the study innovatively develops a mathematical model that integrates soil and water assessment tool (SWAT) model and interval fractional programming. The advantage of the model are the following: (1) ability to process a BMP spatial optimization layout in watershed in uncertain situations, (2) ability to effectively reflect the uncertain factors involved in the scheme without having to set all the variables as uncertain factors, and (3) results are in the form of schemes in upper and lower limit scenarios, thereby reflecting the limit of uncertainty impact on the schemes. The results of this study can provide decision-makers with a wide range of optional schemes. This study examines how to set up the BMP spatial optimal layout scheme for agricultural non-point-source pollution treatment under the influence of uncertain factors. The proposed method is universal and can be extended to other cases.

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“…Generally, the best management practices (BMPs) are whatever practices are the most effective measure for controlling watershed pollution [42]. Qi et al coupled the Revised Generalized Watershed Loading Function (RGWLF) model and the non-dominated sorting genetic algorithms II (NSGAII) optimization algorithm to identify the optimal spatial allocation of BMPs for dissolved nitrogen, which helps to realize cost-effective management [43].…”

Section: Long-term and Seasonal Trend Of Water Qualitymentioning

confidence: 99%

The Long-Term and Retention Impacts of the Intervention Policy for Cage Aquaculture on the Reservoir Water Qualities in Northern China

Kang

Yin

Cui

et al. 2020

Water

Self Cite

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To ensure the safety of the water supply of the Panjiakou reservoir, in 2016, the Chinese central government comprehensively banned the fishing cage culture that had lasted for almost 30 years. However, the long-term effects and retention impacts of the government’s mandatory intervention on the reservoir water quality are unknown. To determine the reservoir water quality, we employed statistical methods along with the mathematical model to investigate the internal relationship since the construction of the reservoir. We applied seasonal trend decomposition using loess (STL) to explore the long-term and seasonality trend of monthly total nitrogen (TN) and total phosphorous (TP). To separate the impact of upstream water quality changes from cage culture on reservoir water quality, we employed generalized additive models (GAMs). We created a model, the LAKE2K model, to investigate the internal sources of the sediment that accumulated during the aquaculture period and its retardant effect. The results revealed that the concentration of upstream TN was more affected by non-point sources than by TP. The long-term policy of encouraging aquaculture has greatly contributed to the increase in the reservoir TP concentration rather than an increase in TN; the prohibition of cage aquaculture has resulted in a sharp drop in TP. After the ban, the sediment became the main source of TP. We suspect that the TP concentration of the reservoir and sediment will decrease gradually until a new equilibrium is reached within 10 years. This study offers lake managers an opportunity to increase their insight into the interaction of management measures with water quality and provides valuable information for the natural recovery of the eutrophic system.

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Multi-Objective Optimization for Selecting and Siting the Cost-Effective BMPs by Coupling Revised GWLF Model and NSGAII Algorithm

Cited by 13 publications

References 31 publications

The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China

The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China

Spatial Optimization Layout of Best Management Practices through SWAT and Interval Fractional Programming Under Uncertainty

The Long-Term and Retention Impacts of the Intervention Policy for Cage Aquaculture on the Reservoir Water Qualities in Northern China

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