IPWM: AN INTERVAL PARAMETER WATER QUALITY MANAGEMENT MODEL

1996 ◽  
Vol 26 (2) ◽  
pp. 79-103 ◽  
Author(s):  
G.H. HUANG
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Water Quality Management ◽  
Management Model ◽  
Interval Parameter ◽  
Quality Management Model

Development and Application of a Water Quality Management Model of Onondaga Lake, NY

2008 ◽  
Vol 2008 (15) ◽  
pp. 2142-2151
Author(s):  
James R. Rhea ◽  
Pradeep Mugunthan ◽  
David Glaser ◽  
Kevin Russell ◽  
Joseph J. Mastriano
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Water Quality Management ◽  
Management Model ◽  
Onondaga Lake ◽  
Quality Management Model

scholarly journals Integrated Water Quality Management Model for the Rural Transboundary River Basin—A Case Study of the Sutla/Sotla River

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2569
Author(s):  
Gorana Ćosić-Flajsig ◽  
Barbara Karleuša ◽  
Matjaž Glavan
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Quality Management ◽  
River Basin ◽  
Water Status ◽  
Water Quality Management ◽  
Management Model ◽  
Future Climate Change ◽  
Quality Management Model ◽  
Soil And Water

The intensive use of soil and water resources results in a disbalance between the environmental and economic objectives of the river basin. The water quality management model supports good water status, especially downstream of dams and reservoirs, as in the case of the Sutla/Sotla river basin. This research aims to develop a new, improved integrated water quality management model of rural transboundary basins to achieve environmental objectives and protection of the Natura 2000 sites. The model uses river basin pressure analysis to assess the effects of climate and hydrological extreme impacts, and a programme of basic and supplementary measures. The impact assessment of BASE MODEL, PAST, and FUTURE scenarios was modelled using the soil and water assessment tool (SWAT) based on land use, climate and hydrological data, climate change, presence or lack of a reservoir, and municipal wastewater and agriculture measures. Eight future climate change scenarios were obtained with optimistic (RCP4.5) and pessimistic (RCP8.5) forecasts for two periods (2020–2050 and 2070–2100), both with and without a reservoir. The model shows that the most significant impacts on the waterbody come from the nutrients and sediment hotspots, also shows the risk of not achieving good water status, and water eutrophication risk. The modelled average annual increase in sediment is from 4 to 25% and in total N from 1 to 8%, while the change in total P is from −5 to 6%. The conducted analysis provides a base for the selection of tailor-made measures from the catalogue of the supplementary measures that will be outlined in future research.

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