Coupling model uncertainty for coupled rainfall/runoff and surface water quality models in river problems

Ecohydrology ◽  
2012 ◽  
pp. n/a-n/a ◽  
Author(s):  
Geoffrey T. Parker ◽  
Ronald L. Droste ◽  
Colin D. Rennie
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Model Uncertainty ◽  
Surface Water Quality ◽  
Coupling Model ◽  
Rainfall Runoff ◽  
Quality Models ◽  
Water Quality Models

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 Transparent water quality model induction in a reservoir affected by the rainfall-runoff process using a grammar-based genetic programming

2021 ◽  
Author(s):  
JongHwa Ham ◽  
Timothy Yoon-Seok Hong
Keyword(s):  
Water Quality ◽  
Heavy Rainfall ◽  
Quality Parameters ◽  
Short Time Period ◽  
Rainfall Runoff ◽  
Quality Models ◽  
Time Period ◽  
Short Time ◽  
Water Quality Models ◽  
Grammar Based Genetic Programming

Abstract Building a reliable water quality prediction model in the catchment is of importance both for understanding the process of these natural systems and providing a basis for water quality management decisions. Due to a rapid change of river flow during a Typhoon season in South Korea, water quality parameters in reservoirs are affected significantly within a short-time period by a rainfall-runoff process. Integrated conceptual hydrological and water quality models seem to be complicated to produce a good model calibration and prediction with reasonable generalizations under these dynamic condition of heavy rainfall events. As an alternative, this paper proposes an evolutionary model induction system based on grammar-based genetic programming (GBGP) to derive the transparent mathematical model for estimating the dynamic change of water quality parameters within a short-time period in an agricultural reservoir affected by the rainfall-runoff process during a typical Typhoon summer period. Results showed that the GBGP system performed to evolve accurate water quality models, expressed in the form of explicit mathematical formulae which could predict the concentration and load of COD, SS, T-N, and T-P during the heavy rainfall event as a function of easily measurable rainfall, cumulative rainfall, and flow rate. The performance of the water quality models evolved by the GBGP was superior to ANN and optimized pollutant rating curve (PRC) model, showing that it has the lowest RMSE value. The transparent nature of water quality models evolved by the GBGP may allow inferences about underlying processes to be made. This work demonstrates that complex dynamic water quality change affected by the rainfall-runoff process in natural catchments can be successfully modelled through the use of GBGP system without costly or time-consuming tasks required in the conceptual modeling approach.

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.

AN EVALUATION OF SUB-SURFACE WATER QUALITY AROUND BHARUCH-SURAT INDUSTRIAL REGION, GUJARAT, INDIA

2019 ◽  
Vol 38 (2) ◽  
pp. 200-220
Author(s):  
SOMNATH SAHA ◽  
◽  
SUKANTA KUMAR SAHA ◽  
TATHAGATA GHOSH ◽  
ROLEE KANCHAN ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Industrial Region
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