Investigation of point source and non-point source pollution for Panjiakou Reservoir in North China by modelling approach

Huang, Jinhui Jeanne; Xiang, Wenyan

doi:10.2166/wqrjc.2014.019

Cited by 9 publications

(7 citation statements)

References 28 publications

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“…They found that LSPC can reasonably simulate streamflow over a 10-year period. Huang and Xiang [ 82 ] applied LSPC to investigate point source and NPS pollution of the Panjiakou Reservoir basin (42,443 km 2 ) in north China. They indicated the developed model based on LSPC had sufficient accuracy in representing the hydrological characteristics of the watershed.…”

Section: Watershed-scale Nonpoint Source Pollution Model Evaluationmentioning

confidence: 99%

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

2020

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Watershed-scale nonpoint source (NPS) pollution models have become important tools to understand, evaluate, and predict the negative impacts of NPS pollution on water quality. Today, there are many NPS models available for users. However, different types of models possess different form and structure as well as complexity of computation. It is difficult for users to select an appropriate model for a specific application without a clear understanding of the limitations or strengths for each model or tool. This review evaluates 14 more commonly used watershed-scale NPS pollution models to explain how and when the application of these different models are appropriate for a given effort. The models that are assessed have a wide range of capacities that include simple models used as rapid screening tools (e.g., Long-Term Hydrologic Impact Assessment (L-THIA) and Nonpoint Source Pollution and Erosion Comparison Tool (N-SPECT/OpenNSPECT)), medium-complexity models that require detail data input and limited calibration (e.g., Generalized Watershed Loading Function (GWLF), Loading Simulation Program C (LSPC), Source Loading and Management Model (SLAMM), and Watershed Analysis Risk Management Frame (WARMF)), complex models that provide sophisticated simulation for NPS pollution processes with intensive data and rigorous calibration (e.g., Agricultural Nonpoint Source pollution model (AGNPS/AnnAGNPS), Soil and Water Assessment Tool (SWAT), Stormwater Management Model (SWMM), and Hydrologic Simulation Program Fortran (HSPF)), and modeling systems that integrate various sub-models and tools, and contain the highest complexity to solve all phases of hydrologic, hydraulic, and chemical dynamic processes (e.g., Automated Geospatial Watershed Assessment Tool (AGWA), Better Assessment Science Integrating Point and Nonpoint Sources (BASINS) and Watershed Modeling System (WMS)). This assessment includes model intended use, components or capabilities, suitable land-use type, input parameter type, spatial and temporal scale, simulated pollutants, strengths and limitations, and software availability. Understanding the strengths and weaknesses of each watershed-scale NPS model will lead to better model selection for suitability and help to avoid misinterpretation or misapplication in practice. The article further explains the crucial criteria for model selection, including spatial and temporal considerations, calibration and validation, uncertainty analysis, and future research direction of NPS pollution models. The goal of this work is to provide accurate and concise insight for watershed managers and planners to select the best-suited model to reduce the harm of NPS pollution to watershed ecosystems.

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Section: Watershed-scale Nonpoint Source Pollution Model Evaluationmentioning

confidence: 99%

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

2020

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“…The To be more specific, quite a large amount of fish food containing organic matter, nitrogen and phosphorus were utilized to feed carnivorous and omnivorous fish in the reservoir. As a result, fish food residues and excreta contribute significantly to nutrient contaminants (Degefu et al 2011, Huang andXiang 2015). Furthermore, sewage discharged from both industrial and residential operations had high levels of ammonia nitrogen and organic contaminants .…”

Section: Inter-annual Variation Of Water Quality In the Panjiakou Res...mentioning

confidence: 99%

Evolution of water quality and biota in the Panjiakou Reservoir, China as a consequence of social and economic development: implications for synergies and trade-offs between Sustainable Development Goals

Wei

Huang

et al. 2021

Sustain Sci

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Water shortages caused by poor water quality severly affect the sustainable social and economic development of Tianjin City and Tangshan City in China. The Panjiakou Reservoir is located in the Luanhe River mainstream and provides water to the public in both cities since 1983. The evolution of water quality and aquatic community considering comprehensively the individual needs inside and across catchments to minimize trade-offs and maximize synergies was of great significance for coordinating the relations among society, economy, and water resources to achieve sustainable development at the sub-national scale.

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“…The monthly seasonal pattern implies that the TN at the WLJ station was more influenced by the non-point source pollution. Huang et al employed the loading simulation program C ++ (LSPC) model to investigate the point and non-point pollution loadings to Panjiakou Reservoir from 2006 to 2010 [41]. It was concluded that nearly half of the TN annual loadings are from non-point sources, which mainly come from agriculture practices.…”

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

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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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Investigation of point source and non-point source pollution for Panjiakou Reservoir in North China by modelling approach

Cited by 9 publications

References 28 publications

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

Evolution of water quality and biota in the Panjiakou Reservoir, China as a consequence of social and economic development: implications for synergies and trade-offs between Sustainable Development Goals

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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