scholarly journals River Water Quality Model no. 1 (RWQM1): II. Biochemical process equations

2001 ◽  
Vol 43 (5) ◽  
pp. 11-30 ◽  
Author(s):  
P. Reichert ◽  
D. Borchardt ◽  
M. Henze ◽  
W. Rauch ◽  
P. Shanahan ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Complex Model ◽  
River Water Quality ◽  
Biochemical Process ◽  
Water Quality Modelling ◽  
Quality Model ◽  
Elemental Mass ◽  
Transformation Processes ◽  
Selection Of

In this paper, biochemical process equations are presented as a basis for water quality modelling in rivers under aerobic and anoxic conditions. These equations are not new, but they summarise parts of the development over the past 75 years. The primary goals of the presentation are to stimulate communication among modellers and field-oriented researchers of river water quality and of wastewater treatment, to facilitate practical application of river water quality modelling, and to encourage the use of elemental mass balances for the derivation of stoichiometric coefficients of biochemical transformation processes. This paper is part of a series of three papers. In the first paper, the general modelling approach is described; in the present paper, the biochemical process equations of a complex model are presented; and in the third paper, recommendations are given for the selection of a reasonable submodel for a specific application.

Identifiability and uncertainty analysis of the River Water Quality Model No. 1 (RWQM1)

2001 ◽  
Vol 43 (7) ◽  
pp. 329-338 ◽  
Author(s):  
P. Reichert ◽  
P. Vanrolleghem
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Model ◽  
River Water Quality ◽  
Model Parameters ◽  
Water Quality Modelling ◽  
Quality Model ◽  
Model Predictions ◽  
Selection Of

State of the art models as used in activated sludge modelling and recently proposed for river water quality modelling integrate the knowledge in a certain field. If applied to data from a specific site, such models are nearly always overparameterised. This raises the question of how many parameters can be fitted in a given context and how to find identifiable parameter subsets given the experimental layout. This problem is addressed for the kinetic parameters of a simplified version of the recently published river water quality model no. 1 (RWQM1). The selection of practically identifiable parameter subsets is discussed for typical boundary conditions as a function of the measurement layout. Two methods for identifiable subset selection were applied and lead to nearly the same results. Assuming upstream and downstream measurements of dissolved substances to be available, only a few (5-8) model parameters appear to be identifiable. Extensive measurement campaigns with dedicated experiments seem to be required for successful calibration of RWQM1. The estimated prior uncertainties of the model parameters are used to estimate the uncertainty of model predictions. Finally an estimate is provided for the maximum possible decrease in prediction uncertainty achievable by a perfect determination of the values of the identifiable model parameters.

River Water Quality Model no. 1 (RWQM1): III. Biochemical submodel selection

2001 ◽  
Vol 43 (5) ◽  
pp. 31-40 ◽  
Author(s):  
P. Vanrolleghem ◽  
D. Borchardt ◽  
M. Henze ◽  
W. Rauch ◽  
P. Reichert ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Model ◽  
River Water Quality ◽  
Quality Model ◽  
Conversion Model ◽  
General Rules ◽  
Model Component ◽  
Model Features ◽  
Selection Of

The new River Water Quality Model no.1 introduced in the two accompanying papers by Shanahan et al. and Reichert et al. is comprehensive. Shanahan et al. introduced a six-step decision procedure to select the necessary model features for a certain application. This paper specifically addresses one of these steps, i.e. the selection of submodels of the comprehensive biochemical conversion model introduced in Reichert et al. Specific conditions for inclusion of one or the other conversion process or model component are introduced, as are some general rules that can support the selection. Examples of simplified models are presented.

River Water Quality Modelling: III. Future of the Art

1998 ◽  
Vol 38 (11) ◽  
pp. 253-260 ◽  
Author(s):  
L. Somlyódy ◽  
M. Henze ◽  
L. Koncsos ◽  
W. Rauch ◽  
P. Reichert ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Task Group ◽  
Water Quality Modelling ◽  
Quality Model ◽  
Nitrogen And Phosphorus ◽  
Support Tool ◽  
Research Education ◽  
River Water Quality Modelling

This paper is the third of a three-part series summarizing the background to and objectives of the activity of the IAWQ Task Group on River Water Quality Modelling (RWQM). On the basis of the two other papers and a comparison between the best known state of the art river model, QUAL2E, and the IAWQ Activated Sludge Model (ASM) No. 1, the Task Group proposes to develop improved conversion models for inclusion in a river water quality model. The model should describe the cycling of oxygen, nitrogen, and phosphorus in both water and sediment, and should be compatible with the ASM to support the development of integrated emission reduction strategies. The model should be particularly well suited to handle problems characterized by significant temporal and spatial influences (e.g. CSOs and NPSs). It should serve for research, education, improved communication, knowledge transfer, regulatory applications such as catchment planning, and improved data collection. Anticipated results of the Task Group effort include: (i) standardized conversion sub-models; (ii) a decision support tool to guide model construction and usage; and (iii) case study applications. The model development, which is not intended to result in a software product, is intended to be an open-ended and flexible process to encourage the participation of interested professionals.

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.

Water Framework Directive catchment planning: a case study apportioning loads and assessing environmental benefits of programme of measures

2009 ◽  
Vol 59 (3) ◽  
pp. 407-416 ◽  
Author(s):  
Bob Crabtree ◽  
Sarah Kelly ◽  
Hannah Green ◽  
Graham Squibbs ◽  
Gordon Mitchell
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Framework Directive ◽  
Control Point ◽  
Water Quality Management ◽  
Ecological Status ◽  
Current Approach ◽  
River Water Quality ◽  
Environmental Benefits ◽  
Water Quality Modelling

Complying with proposed Water Framework Directive (WFD) water quality standards for ‘good ecological status’ in England and Wales potentially requires a range of Programmes of Measures (PoMs) to control point and diffuse sources of pollution. There is an urgent need to define the benefits and costs of a range of potential PoMs. Water quality modelling can be used to understand where the greatest impact in a catchment can be achieved through ‘end of pipe’ and diffuse source reductions. This information can be used to guide cost-effective investment by private water companies and those with responsibilities for agricultural, industrial and urban diffuse inputs. In the UK, river water quality modelling with the Environment Agency SIMCAT model is regarded as the best current approach to support decision making for river water quality management and planning. The paper describes how a SIMCAT model has been used to conduct a trial WFD integrated catchment planning study for the River Ribble catchment in the North West of England. The model has been used to assess over 80 catchment planning scenarios. The results are being used support a national assessment of the cost-effectiveness of proposed PoMs.

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