Accuracy of predictive water quality models-comparison with measured surface water concentrations of crop chemicals in Northern Ohio

1988 ◽  
Vol 7 (4) ◽  
pp. 261-262
Author(s):  
David I. Gustafson
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Models ◽  
Models Comparison ◽  
Water Quality Models ◽  
Northern Ohio

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.

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 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.

Nutrient Speciation and Refractory Compounds in Water Quality Models

2016 ◽  
Vol 15 (0) ◽  
pp. 9781780408323-9781780408323
Author(s):  
D. L. Clark ◽  
G. Hunt ◽  
M. S. Kasch ◽  
P. J. Lemonds
Keyword(s):  
Water Quality ◽  
Quality Models ◽  
Refractory Compounds ◽  
Water Quality Models

The Use of Water Quality Models in Belgium

1987 ◽  
Vol 19 (7) ◽  
pp. 1197-1202 ◽  
Author(s):  
A. Van Der Beken
Keyword(s):  
Water Quality ◽  
Quality Models ◽  
Water Quality Models
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