scholarly journals THE IMPLICATIONS OF ECONOMIC DEVELOPMENT, CLIMATE CHANGE AND EUROPEAN WATER POLICY ON SURFACE WATER QUALITY THREATS

2017 ◽  
Vol 3 ◽  
pp. 111-123 ◽  
Author(s):  
Jolanta Dąbrowska ◽  
◽  
Katarzyna Pawęska ◽  
Paweł B. Dąbek ◽  
Radosław Stodolak ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Economic Development ◽  
Surface Water ◽  
Water Policy ◽  
Surface Water Quality ◽  
European Water

Impacts of climate change on surface water quality in relation to drinking water production

2009 ◽  
Vol 35 (8) ◽  
pp. 1225-1233 ◽  
Author(s):  
I. Delpla ◽  
A.-V. Jung ◽  
E. Baures ◽  
M. Clement ◽  
O. Thomas
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Drinking Water ◽  
Surface Water ◽  
Surface Water Quality ◽  
Water Production ◽  
Drinking Water Production ◽  
Impacts Of Climate Change

Climate Change how does Weather Affect Surface Water Quality?

Opflow ◽  
2013 ◽  
Vol 39 (1) ◽  
pp. 10-15 ◽  
Author(s):  
Ben Wright ◽  
Ben Stanford ◽  
Josh Weiss ◽  
Jean Debroux ◽  
Jan Routt ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality

scholarly journals Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development?

2017 ◽  
Vol 21 (3) ◽  
pp. 1593-1609 ◽  
Author(s):  
Mark Honti ◽  
Nele Schuwirth ◽  
Jörg Rieckermann ◽  
Christian Stamm
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Management Strategies ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Model Structure ◽  
Predictive Uncertainty ◽  
Socio Economic Development

Abstract. The design and evaluation of solutions for integrated surface water quality management requires an integrated modelling approach. Integrated models have to be comprehensive enough to cover the aspects relevant for management decisions, allowing for mapping of larger-scale processes such as climate change to the regional and local contexts. Besides this, models have to be sufficiently simple and fast to apply proper methods of uncertainty analysis, covering model structure deficits and error propagation through the chain of sub-models. Here, we present a new integrated catchment model satisfying both conditions. The conceptual iWaQa model was developed to support the integrated management of small streams. It can be used to predict traditional water quality parameters, such as nutrients and a wide set of organic micropollutants (plant and material protection products), by considering all major pollutant pathways in urban and agricultural environments. Due to its simplicity, the model allows for a full, propagative analysis of predictive uncertainty, including certain structural and input errors. The usefulness of the model is demonstrated by predicting future surface water quality in a small catchment with mixed land use in the Swiss Plateau. We consider climate change, population growth or decline, socio-economic development, and the implementation of management strategies to tackle urban and agricultural point and non-point sources of pollution. Our results indicate that input and model structure uncertainties are the most influential factors for certain water quality parameters. In these cases model uncertainty is already high for present conditions. Nevertheless, accounting for today's uncertainty makes management fairly robust to the foreseen range of potential changes in the next decades. The assessment of total predictive uncertainty allows for selecting management strategies that show small sensitivity to poorly known boundary conditions. The identification of important sources of uncertainty helps to guide future monitoring efforts and pinpoints key indicators, whose evolution should be closely followed to adapt management. The possible impact of climate change is clearly demonstrated by water quality substantially changing depending on single climate model chains. However, when all climate trajectories are combined, the human land use and management decisions have a larger influence on water quality against a time horizon of 2050 in the study.

scholarly journals Evolution Characteristics of Surface Water Quality Due to Climate Change and LUCC under Scenario Simulations: A Case Study in the Luanhe River Basin

2018 ◽  
Vol 15 (8) ◽  
pp. 1724 ◽  
Author(s):  
Wuxia Bi ◽  
Baisha Weng ◽  
Zhe Yuan ◽  
Mao Ye ◽  
Cheng Zhang ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Driving Forces ◽  
Eastern China ◽  
Surface Water Quality ◽  
Future Climate Change ◽  
Luanhe River Basin ◽  
Evolution Characteristics

It is of great significance to study the effects and mechanisms of the key driving forces of surface water quality deterioration—climate change and LUCC (land use and land cover change). The Luanhe River Basin (LRB) in north-eastern China was examined for qualitatively and quantitatively assessing the responses of total nitrogen (TN) and total phosphorus (TP) loads on different climate scenarios and LUCC scenarios. The results show that from 1963 to 2017, the TN and TP loads basically presented a negative correlation with the temperature change (except for winter), while showing a significant positive correlation with the precipitation change. The incidence of TN pollution is sensitive to temperature increase. From 2020 to 2050, the annual average loads of TN and TP were slightly lower than from 1963 to 2017. The contribution of rising temperature was more significant on nutrient loads. Also, the incidence of TN pollution is sensitive to the future climate change. Under LUCC scenarios, the TN and TP loads and pollution incidence increased correspondingly with the decrease of natural land. The evolution characteristics analysis can provide support for the effect and adaptation-strategies study of climate change and LUCC on surface water quality.

scholarly journals A review of the potential impacts of climate change on surface water quality

2009 ◽  
Vol 54 (1) ◽  
pp. 101-123 ◽  
Author(s):  
P. G. WHITEHEAD ◽  
R. L. WILBY ◽  
R. W. BATTARBEE ◽  
M. KERNAN ◽  
A. J. WADE
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Impacts Of Climate Change

scholarly journals Evolution of Drought–Flood Abrupt Alternation and Its Impacts on Surface Water Quality from 2020 to 2050 in the Luanhe River Basin

2019 ◽  
Vol 16 (5) ◽  
pp. 691 ◽  
Author(s):  
Wuxia Bi ◽  
Baisha Weng ◽  
Zhe Yuan ◽  
Yuheng Yang ◽  
Ting Xu ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Surface Water Quality ◽  
Quality Data ◽  
Simultaneous Occurrence ◽  
Water Quality Data ◽  
Luanhe River Basin ◽  
Extreme Climate

It has become a hot issue to study extreme climate change and its impacts on water quality. In this context, this study explored the evolution characteristics of drought–flood abrupt alternation (DFAA) and its impacts on total nitrogen (TN) and total phosphorous (TP) pollution, from 2020 to 2050, in the Luanhe river basin (LRB), based on the predicted meteorological data of the representative concentration pathways (RCPs) climate scenarios and simulated surface water quality data of the Soil and Water Assessment Tool (SWAT) model. The results show that DFAA occurred more frequently in summer, with an increasing trend from northwest to southeast of the LRB, basically concentrated in the downstream plain area, and the irrigation area. Meanwhile, most of the DFAA events were in light level. The incidence of TN pollution was much larger than the incidence of TP pollution and simultaneous occurrence of TN and TP pollution. The TN pollution was more serious than TP pollution in the basin. When DFAA occurred, TN pollution almost occurred simultaneously. Also, when TP pollution occurred, the TN pollution occurred simultaneously. These results could provide some references for the effects and adaptation-strategies study of extreme climate change and its influence on surface water quality.

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