scholarly journals Multi-Watershed Nonpoint Source Pollution Management Through Coupling Bayesian-Based Simulation And Mechanism-Based Effluent Trading Optimization

2021 ◽  
Author(s):  
Xiaomei Xu ◽  
Xueting Zeng ◽  
Yongping Li ◽  
Chunrong Wang ◽  
Lei Yu ◽  
...  
Keyword(s):  
Water Quality ◽  
Nonpoint Source Pollution ◽  
Water Availability ◽  
Nonpoint Source ◽  
Risk Level ◽  
Parameter Uncertainties ◽  
Pollution Management ◽  
Trading Mechanism ◽  
The Impact ◽  
Effluent Trading

Abstract Multiple rivers flowing into the same bay can be correlated in water quality management and together determine the environmental status of the bay. Nonpoint source pollution management for multi-watershed aiming to alleviate environmental contamination can be under additional challenges and yield considerable economic and environmental benefits. In this study, a Bayesian simulation-based multi-watershed effluent trading designing model (BS-METM) is established for multi-watershed nonpoint source pollution management through incorporating techniques of water quality simulation, uncertainty analysis with Bayesian inference, optimal design for effluent trading, as well as mechanism analysis. BS-METM is capable of reflecting parameter uncertainties in nutrient simulation, disclosing the detailed optimal trading schemes under the impact of uncertainties and vital factors, and identifying optimal effluent trading mechanisms through revealing interaction among trading processes of multiple watersheds. BS-METM is applied to a real case of adjacent coastal watersheds (i.e. Daguhe and Moshuihe watersheds), which are identified as major sources of total phosphorus and ammonia nitrogen loadings to Jiaozhou Bay, China. Effluent trading optimization under multiple mechanisms, including intra-watershed trading, cross-watershed trading and non-trading, are conducted. The optimized industry scales and trading processes are obtained. The effects of vital factors on the trading process (i.e. environmental allowance-violation risk level and water availability level) are investigated. The interactions between water availability level and trading mechanism are also analyzed. It is proved that non-trading mechanism would be recommended under low water availability level and cross-watershed trading mechanism would be recommended under medium and high water availability level. The results provide a solid scientific basis for nonpoint source pollution management as well as effective sustainable development for multi-watershed region.

Nonpoint source pollution management for the multipurpose dam watersheds

2008 ◽  
Vol 57 (11) ◽  
pp. 1835-1841 ◽  
Author(s):  
J.-Y. Choi
Keyword(s):  
Nonpoint Source Pollution ◽  
Heavy Rain ◽  
Nonpoint Source ◽  
Pollution Sources ◽  
Soil Protection ◽  
Nonpoint Pollution ◽  
Construction Sites ◽  
Pollution Management ◽  
The Impact ◽  
Multipurpose Dam

Main pollution sources in multipurpose dam watersheds in Korea are highland fields, stream banks, livestock farms, roads, and construction sites. Specifically, highland fields are the major nonpoint pollution sources. Excessive organic chemicals such as fertilizer and pesticide can be exuded from the land, and the area is likely to be eroded by heavy rain. Fallow, conservative cultivation, and covering can be alternatives for soil protection and reinforcement. In addition to these, construction of detour waterways and improvement of irrigation method can minimize the impact of runoff. In the case of slope in 15% degree or more, prohibiting cultivation and restoring the surface is preferred to improving cultivation method in order to control nonpoint pollution sources efficiently.

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

Geosciences ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 25 ◽  
Author(s):  
Lifeng Yuan ◽  
Tadesse Sinshaw ◽  
Kenneth J. Forshay
Keyword(s):  
Water Quality ◽  
Model Selection ◽  
Nonpoint Source Pollution ◽  
Assessment Tool ◽  
Nonpoint Source ◽  
Screening Tools ◽  
Simulation Program ◽  
Management Model ◽  
Watershed Scale ◽  
Nps Pollution

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.

Estimation of urban nonpoint source pollution in Lake Biwa Basin

1998 ◽  
Vol 38 (10) ◽  
pp. 157-163 ◽  
Author(s):  
Atsushi Ichiki ◽  
Toshiyuki Ohnishi ◽  
Kiyoshi Yamada
Keyword(s):  
Water Quality ◽  
Environmental Management ◽  
Nonpoint Source Pollution ◽  
Lake Biwa ◽  
Nonpoint Source ◽  
Storm Events ◽  
Valuable Data ◽  
Nonpoint Sources ◽  
Pollutant Runoff

This study aims to simulate pollutant runoff into Lake Biwa using the Macro Model and examine the runoff characteristics of pollutants from urban nonpoint sources. As a result of the simulations of all rivers flowing into Lake Biwa, the characteristics of urban nonpoint source pollution and the basic units of urban nonpoint pollutants in the Lake Biwa basin became clear. It was shown that the control of pollutant runoff from nonpoint sources during storm events was significant in order to protect the water quality of Lake Biwa. From these results, valuable data concerning the environmental management of the Lake Biwa basin was obtained.

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