A System for Control of River Water Quality for the Community of Madrid Using QUAL2E

1992 ◽  
Vol 26 (7-8) ◽  
pp. 1867-1873 ◽  
Author(s):  
F. Cubillo ◽  
B. Rodriguez ◽  
T. O. Barnwell
Keyword(s):  
Water Quality ◽  
User Interface ◽  
River Water ◽  
Waste Treatment ◽  
Stream Water ◽  
River Water Quality ◽  
Decision Makers ◽  
Regional Government ◽  
Stream Water Quality ◽  
Quality Model

The Stream Water Quality Model QUAL2E has been applied to the major rivers of the Comunidad de Madrid in Spain by Canal de Isabel II. Canal de Isabel II is the company responsible for management of Madrid's water supply and waste treatment system. Initially, the model was applied in planning a waste treatment expansion program. Now, QUAL2E is being used to assist in the management of waste treatment plants and in the evaluation of river water quality controls. To facilitate interaction with the model, a comprehensive user interface specific to the Madrid network was written. This paper discusses the unique water quality problems of Madrid, shows how the QUAL2E model was calibrated and verified on the rivers of Madrid, and describes the user interface developed to allow interaction with the model by decision makers in the Regional Government.

Exploring the Role of Ecological Groin in Improving River Water Quality: A Case Study in Wangyu River, China

2013 ◽  
Vol 361-363 ◽  
pp. 589-594
Author(s):  
Cong Cong Chen
Keyword(s):  
Water Quality ◽  
River Water ◽  
Bottom Water ◽  
Stream Water ◽  
Suspended Solid ◽  
River Water Quality ◽  
Particulate Phosphorus ◽  
Stream Water Quality ◽  
Surface Intermediate

The ecological groin being built using elastic filter bulb with biologic filler, has received attention in the community for its role in improving stream water quality through altering stream hydrodynamics, intercepting sediment and thereby reducing the sediment-attached nutrients. As an important watercourse for the project Transferring Yangtse River into Taihu Lake, Wangyu River, was chosen in this study to investigate the effect of ecological groin based on two sampling campaigns in April 2012. The results showed that suspended solid (SS) and total phosphorus (TP) concentration in the water decreased significantly after the ecological groin. The SS and TP concentration in the surface, intermediate and bottom water decreased after the ecological groin by 53.5% and 12.7%, 44.0 %and 14.5%, and 35.5% and 9.3%, respectively, which were greatly related to the facts that ecological groin favored sedimentation and that the total particulate phosphorus accounted for up to 75.0% of TP in the water. Comparatively, TN concentration in the surface, intermediate and bottom water decreased after the ecological groin by 5.6%, 2.4% and 5.1%, respectively. The findings of this study enable us to gain insight into the role of ecological groin in improving river water quality.

Application of Expert Systems Technology in Water Quality Modeling

1989 ◽  
Vol 21 (8-9) ◽  
pp. 1045-1056 ◽  
Author(s):  
Thomas O. Barnwell ◽  
Linfield C. Brown ◽  
Wiktor Marek
Keyword(s):  
Water Quality ◽  
Expert Systems ◽  
Knowledge Engineering ◽  
Stream Water ◽  
Environmental Modeling ◽  
Water Quality Modeling ◽  
Stream Water Quality ◽  
Quality Model ◽  
Knowledge Based ◽  
Available Technology

Computerized modeling is becoming an integral part of decision making in water pollution control. Expert systems is an innovative methodology that can assist in building, using, and interpreting the output of these models. This paper reviews the use and evaluates the potential of expert systems technology in environmental modeling and describes elements of an expert advisor for the stream water quality model QUAL2E. Some general conclusions are presented about the tools available to develop this system, the level of available technology in knowledge-based engineering, and the value of approaching problems from a knowledge engineering perspective.

scholarly journals Water Quality Modeling of Bhima River by using HEC-RAS Software

2020 ◽  
Vol 9 (3) ◽  
pp. 2886-2889
Keyword(s):  
Water Quality ◽  
River Water ◽  
Hydrodynamic Model ◽  
Algal Blooms ◽  
Agricultural Runoff ◽  
Water Quality Modeling ◽  
Water Quality Model ◽  
River Water Quality ◽  
Water Levels ◽  
Quality Model

The River has got religious importance in India. The Bhima River is beginning from Bhimashankar hill and it flows through some parts of Maharashtra and Karnataka state. The assessment of water quality for the development of the places near the bank of River is important. These is controlled by various manmade activities. The quality of river water resources is facing problems because of the continuous agricultural runoff, development and urbanization. Due to mixing of nutrients causes algal blooms, which results eutrophication. The modeling of water quality can be deliberated as useful tool for assessing river water. Bhima River is demarcated as a major and important water body located in Pandharpur, dist. Solapur, Maharashtra. As Pandharpur is having historical background and known as one of the famous Holly places in Maharashtra, this place is facing huge population fluctuation due to migrated pilgrims and rapid growth of urbanization. These two things detrimentally affect River water quality. The main objective of current study was to develop a hydrodynamic model combined with river water quality model for the Bhima River to measure and recognize the processes harmful for the River. For Bhima River a hydrodynamic model was constructed using the HEC-RAS 4.1 software combined with a river water quality model to estimate the amount, distribution and sources of algae, nitrate and temperature. The river model has standardized with the help of previous water levels near the Pandharpur region. It has standardized and calibrated for the assessed parameters by competing them with the present data. The result showed a relationship between DO and temperature range. DO level in Pandharpur and Gopalpur were observed to be fluctuating with respective temperature and during Vari season. However, wastewater discharge from Nalha in sample station 3 i.e. Goplapur shows slit changes in DO and due to this there is necessity to learn other parameters also.

Application of an in-stream water quality model to assist the implementation of the Water Framework Directive to a catchment in Southwest Finland

River Systems ◽  
2006 ◽  
Vol 17 (1-2) ◽  
pp. 155-173
Author(s):  
M. Thouvenot ◽  
H. Hämäläinen ◽  
T. Kirkkala ◽  
D. B. Boorman ◽  
M. Hutchins ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Framework Directive ◽  
Stream Water ◽  
Water Quality Model ◽  
Stream Water Quality ◽  
Quality Model

Identifiability analysis of the CSTR river water quality model

2006 ◽  
Vol 53 (1) ◽  
pp. 93-99 ◽  
Author(s):  
J. Chen ◽  
Y. Deng
Keyword(s):  
Water Quality ◽  
River Water ◽  
Sampling Frequency ◽  
Water Quality Model ◽  
River Water Quality ◽  
Quality Model ◽  
Identifiability Analysis ◽  
Quality Models ◽  
Observational Errors ◽  
Water Quality Models

Conceptual river water quality models are widely known to lack identifiability. The causes for that can be due to model structure errors, observational errors and less frequent samplings. Although significant efforts have been directed towards better identification of river water quality models, it is not clear whether a given model is structurally identifiable. Information is also limited regarding the contribution of different unidentifiability sources. Taking the widely applied CSTR river water quality model as an example, this paper presents a theoretical proof that the CSTR model is indeed structurally identifiable. Its uncertainty is thus dominantly from observational errors and less frequent samplings. Given the current monitoring accuracy and sampling frequency, the unidentifiability from sampling frequency is found to be more significant than that from observational errors. It is also noted that there is a crucial sampling frequency between 0.1 and 1 day, over which the simulated river system could be represented by different illusions and the model application could be far less reliable.

scholarly journals Extension of the River Water Quality Model No. 1 with the fate of pesticides

2011 ◽  
Vol 14 (1) ◽  
pp. 48-64 ◽  
Author(s):  
Veerle C. J. De Schepper ◽  
Katrijn M. A. Holvoet ◽  
Lorenzo Benedetti ◽  
Piet Seuntjens ◽  
Peter A. Vanrolleghem
Keyword(s):  
Water Quality ◽  
Water Column ◽  
River Water ◽  
Bulk Water ◽  
Transport Processes ◽  
Water Quality Model ◽  
River Water Quality ◽  
Model Parameters ◽  
Quality Model ◽  
Run Off

The existing River Water Quality Model No. 1 (RWQM1) was extended with processes determining the fate of non-volatile pesticides in the water phase and sediments. The exchange of pesticides between the water column and the sediment is described by three transport processes: diffusion, sedimentation and resuspension. Burial of sediments is also included. The modified model was used to simulate the concentrations of diuron and chloridazon in the river Nil. A good agreement was found between the simulated pesticide concentrations and measured values resulting from a four-month intensive monitoring campaign. The simulation results indicate that pesticide concentrations in the bulk water are not sensitive to the selected biochemical model parameters. It seems that these concentrations are mainly determined by the imposed upstream concentrations, run-off and direct losses. The high concentrations in the bulk water were not observed in the sediment pore water due to a limited exchange between the water column and the sediment. According to a sensitivity analysis, the observed pesticide concentrations are highly sensitive to the diffusion and sorption coefficients. Therefore, model users should determine these parameters with accuracy in order to reduce the degree of uncertainty in their results.

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