scholarly journals A Review of Surface Water Quality Models

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Qinggai Wang ◽  
Shibei Li ◽  
Peng Jia ◽  
Changjun Qi ◽  
Feng Ding
Keyword(s):  
Water Quality ◽  
Environmental Management ◽  
Surface Water ◽  
Surface Water Quality ◽  
Developed Countries ◽  
Control Measures ◽  
Quality Models ◽  
The Status ◽  
Three Stages ◽  
Water Quality Models

Surface water quality models can be useful tools to simulate and predict the levels, distributions, and risks of chemical pollutants in a given water body. The modeling results from these models under different pollution scenarios are very important components of environmental impact assessment and can provide a basis and technique support for environmental management agencies to make right decisions. Whether the model results are right or not can impact the reasonability and scientificity of the authorized construct projects and the availability of pollution control measures. We reviewed the development of surface water quality models at three stages and analyzed the suitability, precisions, and methods among different models. Standardization of water quality models can help environmental management agencies guarantee the consistency in application of water quality models for regulatory purposes. We concluded the status of standardization of these models in developed countries and put forward available measures for the standardization of these surface water quality models, especially in developing countries.

scholarly journals Benchmarking the efficiency of a metamodeling-enabled algorithm for the calibration of surface water quality models

2020 ◽  
Vol 22 (6) ◽  
pp. 1718-1726
Author(s):  
K. Kandris ◽  
E. Romas ◽  
A. Tzimas
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Water Quality Modeling ◽  
Automatic Calibration ◽  
High Fidelity ◽  
Quality Models ◽  
Derivative Free Optimization ◽  
Tangible Evidence ◽  
Water Quality Models

Abstract Computational efficiency is a major obstacle imposed in the automatic calibration of numerical, high-fidelity surface water quality models. To surpass this obstacle, the present work formulated a metamodeling-enabled algorithm for the calibration of surface water quality models and assessed the computational gains from this approach compared to a benchmark alternative (a derivative-free optimization algorithm). A radial basis function was trained over multiple snapshots of the original high-fidelity model to emulate the latter's behavior. This data-driven proxy of the original model was subsequently employed in the automatic calibration of the water quality models of two water reservoirs and, finally, the computational gains over the benchmark alternative were estimated. The benchmark analysis revealed that the metamodeling-enabled optimizer reached a solution with the same quality compared to its benchmark alternative in 20–38% lower process times. Thereby, this work manifests tangible evidence of the potential of metamodeling-enabled strategies and sets out a discussion on how to maximize computational gains deriving from such strategies in surface water quality modeling.

What's it Worth? Improving Surface Water Quality

1999 ◽  
Vol 40 (10) ◽  
pp. 153-159 ◽  
Author(s):  
D. H. Newsome ◽  
C. D. Stephen
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Surface Water Quality ◽  
Control Measures ◽  
Benefit Analysis ◽  
The Cost

Many countries are investing in measures to improve surface water quality, but the investment programmes for so doing are increasingly becoming subject to cost-benefit analysis. Whilst the cost of control measures can usually be determined for individual improvement schemes, there are currently no established procedures for valuing the benefits attributable to improved surface water quality. The paper describes a methodology that has been derived that now makes this possible.

ARE THE STATUS QUO WATER QUALITY MODELS ADEQUATE FOR TMDL?

2013 ◽  
Author(s):  
G. T. Yeh ◽  
F. Zhang ◽  
T. S. Wu ◽  
and G. Hu
Keyword(s):  
Water Quality ◽  
Status Quo ◽  
Quality Models ◽  
The Status ◽  
Water Quality Models

scholarly journals WATER QUALITY MODELS: A REVIEW

2017 ◽  
Vol 5 (1) ◽  
pp. 395-398
Author(s):  
Nair Sumita ◽  
Bhatia Sukhpreet Kaur
Keyword(s):  
Water Quality ◽  
Environmental Management ◽  
Mathematical Models ◽  
Environmental Problems ◽  
Technical Support ◽  
Quality Models ◽  
Water Pollutants ◽  
Water Quality Models

Maintaining water quality and predicting the fate of water pollutants are one of the important tasks of present environmental problems. The best tool for predicting different pollution scenarios are the simulation of mathematical models which can provide a basis and technical support for environmental management.

scholarly journals Time-Series Analysis of Surface-Water Quality in Xiong’an New Area, 2016–2019

2020 ◽  
Author(s):  
Mingxiu Wang ◽  
Yue Yao ◽  
Qian Shen ◽  
Hongjie Gao ◽  
Junsheng Li ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Pollution Control ◽  
Surface Water Quality ◽  
Study Data ◽  
Control Measures ◽  
Chinese Government ◽  
Water Turbidity ◽  
Sentinel 2

AbstractThe Xiong'an New Area was established by the Chinese government on 1 April 2017 as a new district in the Hebei Province, and soon after its establishment, investigations on the waterbodies of the district began to initiate governance. In this study, data from 105 Sentinel-2 cloudless images for the period April 2016–September 2019 were analysed to understand the changes in the concentrations of chlorophyll-a and water turbidity in surface waterbodies of the Xiong'an New Area. The results suggest that (1) the water quality shows an overall improving trend owing to surface-water pollution control measures by the Chinese government in the region; (2) the turbidity of the surface waterbody declined gradually particularly after the spring of 2017; (3) the concentration of chlorophyll-a shows a weak decreasing trend, with a low value in spring and a high value in summer with a four-year average of 31.3 μg/L; and (4) by comparing the results of the water quality of two ponds inside and outside the Lake Baiyangdian and the overall water quality of Xiong'an New Area, the changes in turbidity and chlorophyll-a concentration during the study period were consistent.

scholarly journals Water Quality Models and their Use in Monitoring the Quality of Surface Water Bodies

2021 ◽  
Vol 9 (VIII) ◽  
pp. 445-448
Author(s):  
A. K. Tripathi
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Resource Management ◽  
Anthropogenic Activities ◽  
Quality Parameters ◽  
Water Bodies ◽  
Quality Models ◽  
Aggregation Techniques ◽  
Surface Water Bodies ◽  
Water Quality Models

Water quality has been considered as one of the major challenges in water resource management. The main reason of degradation of water quality over the years is anthropogenic activities. Also, the monitoring of surface water bodies is a tedious as well as expensive process. For the depiction of water quality in simple and easy to understand terminology Water Quality Index (WQI) is found to be one of the widely used tool. It provides a transparent picture of the status of the pollution of a water body that is why it has been widely accepted by policy makers as well as other concerned authorities. Many WQI models have been developed throughout the world, using various water quality parameters, different techniques to generate subindices and also involving various mathematical techniques for aggregation of subindices. This paper deals with the comparison of various water quality models-based om number of parameters used, methods to generate subindices, aggregation techniques as well as their application and uses.

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