scholarly journals Water-quality modelling of the Upper Mersey river system using an object-oriented framework

2001 ◽  
Vol 3 (3) ◽  
pp. 173-194 ◽  
Author(s):  
Maria Spanou ◽  
Daoyi Chen
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Object Oriented ◽  
River System ◽  
Low Flow ◽  
Quality Model ◽  
Water Quality Simulation ◽  
The United Kingdom ◽  
Frequency Curves

The aim of this paper is to present the recent advances in the development of an object-oriented software system for water-quality management, and discuss the results from its application to the study of the Upper Mersey river system in the United Kingdom. The software has been extended and includes tools for the construction of flow duration and low-flow frequency curves using different methods, the sensitivity analysis and parameter estimation of the water-quality model, and the stochastic simulation of the mass balance at the discharge points of point-source effluents. The application of object-orientation has facilitated the extension of the software, and supported the integration of different models in it. The results of the case study are in general agreement with published values. They also include low flow estimates at the ungauged river sites based on actual data for the artificial sources, and water-quality simulation results, which have not been presented earlier in the literature for the Upper Mersey system.

scholarly journals Longitudinal River Monitoring and Modelling Substantiate the Impact of Weirs on Nitrogen Dynamics

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 189
Author(s):  
Geovanni Teran-Velasquez ◽  
Björn Helm ◽  
Peter Krebs
Keyword(s):  
Water Quality ◽  
Nitrogen Dynamics ◽  
Low Flow ◽  
Quality Data ◽  
Quality Model ◽  
Spatiotemporal Resolution ◽  
Water Quality Data ◽  
River Monitoring ◽  
The Impact

The fluvial nitrogen dynamics at locations around weirs are still rarely studied in detail. Eulerian data, often used by conventional river monitoring and modelling approaches, lags the spatial resolution for an unambiguous representation. With the aim to address this knowledge gap, the present study applies a coupled 1D hydrodynamic–water quality model to a 26.9 km stretch of an upland river. Tailored simulations were performed for river sections with water retention and free-flow conditions to quantify the weirs’ influences on nitrogen dynamics. The water quality data were sampled with Eulerian and Lagrangian strategies. Despite the limitations in terms of required spatial discretization and simulation time, refined model calibrations with high spatiotemporal resolution corroborated the high ammonification rates (0.015 d−1) on river sections without weirs and high nitrification rates (0.17 d−1 ammonium to nitrate, 0.78 d−1 nitrate to nitrite) on river sections with weirs. Additionally, using estimations of denitrification based on typical values for riverbed sediment as a reference, we could demonstrate that in our case study, weirs can improve denitrification substantially. The produced backwater lengths can induce a means of additional nitrogen removal of 0.2-ton d−1 (10.9%) during warm and low-flow periods.

RIONET: a water quality management tool for river basins

2003 ◽  
Vol 48 (10) ◽  
pp. 47-53 ◽  
Author(s):  
H. Reuter ◽  
G. Krause ◽  
A. Mönig ◽  
M. Wulkow ◽  
H. Horn
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Waste Water Treatment ◽  
Sediment Cores ◽  
Water Quality Management ◽  
River Basins ◽  
Bulk Water ◽  
Management Tool ◽  
Quality Model ◽  
Main River

The water quality management tool RIONET for river basins has been developed with regard to the EU Water Framework Directive. The management tool can simulate the water quality in catchment basins not only in the dimension of a single river but in whole river networks. A submodel of the IWA River Water Quality Model No. 1 is used in RIONET. The river model is based on the assumption that self purification processes in the river takes place both in the benthic biofilm and the bulk water phase. Laboratory experiments with sediment cores underline the major role of the benthic biofilm. The input parameters of the management tool such as volumetric flow rates from waste water treatment plants and flow velocities and discharge in the main river and its tributaries can be loaded directly from geographic information systems (GIS). The subcatchment basin of the river Bode in Saxon Anhalt was used for test runs of RIONET.

scholarly journals Predictive scenarios for surface water quality simulation - A watershed case study

CATENA ◽  
2018 ◽  
Vol 170 ◽  
pp. 283-289 ◽  
Author(s):  
I.M.H.R. Antunes ◽  
M.T.D. Albuquerque ◽  
S.F. Oliveira ◽  
G. Sánz
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Water Quality Simulation

scholarly journals Fuzzy Optimization Model for Waste Load Allocation in a River with Total Maximum Daily Load (TMDL) Planning

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2618
Author(s):  
Jae Heon Cho ◽  
Jong Ho Lee
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Water Quality Management ◽  
Fuzzy Optimization ◽  
Fuzzy Model ◽  
Low Flow ◽  
Satisfaction Level ◽  
Waste Load Allocation ◽  
Pollutant Load ◽  
Waste Load

In traditional waste load allocation (WLA) decision making, water quality-related constraints must be satisfied. Fuzzy models, however, can be useful for policy makers to make the most reasonable decisions in an ambiguous environment, considering various surrounding environments. We developed a fuzzy WLA model that optimizes the satisfaction level by using fuzzy membership functions and minimizes the water quality management cost for policy decision makers considering given environmental and socioeconomic conditions. The fuzzy optimization problem was formulated using a max–min operator. The fuzzy WLA model was applied to the Yeongsan River basin, which is located in the southwestern part of the Korean Peninsula and Korean TMDLs were applied. The results of the fuzzy model show that the pollutant load reduction should be increased in the Gwangju 1 and Gwangju 2 wastewater treatment plants (WWTPs) and in subcatchments with high pollutant load. In particular, it is necessary to perform advanced wastewater treatment to decrease the load of 932 kg ultimate biochemical oxygen demand (BODu)/day in the large-capacity Gwangju 1 WWTP and reduce the BODu emission concentration from 4.3 to 2.7 mg/L during the low-flow season. The satisfaction level of the fuzzy model is a relatively high at 0.81.

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