Source characterization of disinfection byproduct precursors in two Arkansas water-supply reservoirs

Fact Sheet ◽  
1997 ◽  
Author(s):  
Michael L. Pomes ◽  
W.R. Green ◽  
E.M. Thurman ◽  
W.H. Orem ◽  
H.T. Lerch
Keyword(s):  
Water Supply ◽  
Source Characterization ◽  
Disinfection Byproduct ◽  
Water Supply Reservoirs

Future Data Collection Needs on Water Supply Reservoirs

WRPMD'99 ◽  
1999 ◽  
Author(s):  
Saša Tomi
Keyword(s):  
Data Collection ◽  
Water Supply ◽  
Future Data ◽  
Water Supply Reservoirs

Susceptibility of Water Supply Reservoirs to Drought Conditions

1998 ◽  
Vol 3 (2) ◽  
pp. 140-148 ◽  
Author(s):  
Antonino Cancelliere ◽  
Alessandro Ancarani ◽  
Giuseppe Rossi
Keyword(s):  
Water Supply ◽  
Drought Conditions ◽  
Water Supply Reservoirs

PUBLIC ATTITUDES IN MASSACHUSETTS TOWARD THE RECREATIONAL USE OF DOMESTIC WATER SUPPLY RESERVOIRS

1980 ◽  
Vol 16 (2) ◽  
pp. 279-284 ◽  
Author(s):  
Walter H. Bumgardner ◽  
Lawrence R. Klar ◽  
Aldo Glirin
Keyword(s):  
Water Supply ◽  
Public Attitudes ◽  
Domestic Water ◽  
Recreational Use ◽  
Domestic Water Supply ◽  
Water Supply Reservoirs

scholarly journals Characterization of the aquifers of the Bangui urban area, Central African Republic, as an alternative drinking water supply resource

2013 ◽  
Vol 58 (8) ◽  
pp. 1760-1778 ◽  
Author(s):  
C.L. Djebebe-Ndjiguim ◽  
F. Huneau ◽  
A. Denis ◽  
E. Foto ◽  
G. Moloto-a-Kenguemba ◽  
...  
Keyword(s):  
Drinking Water ◽  
Water Supply ◽  
Urban Area ◽  
Central African Republic ◽  
Drinking Water Supply

Evaporation from water supply reservoirs: An assessment of uncertainty

2009 ◽  
Vol 376 (1-2) ◽  
pp. 261-274 ◽  
Author(s):  
Lisa D. Lowe ◽  
J. Angus Webb ◽  
Rory J. Nathan ◽  
Teri Etchells ◽  
Hector M. Malano
Keyword(s):  
Water Supply ◽  
Water Supply Reservoirs

scholarly journals Integrating macroseismic intensity distributions with a probabilistic approach: an application in Italy

2021 ◽  
Vol 21 (8) ◽  
pp. 2299-2311
Author(s):  
Andrea Antonucci ◽  
Andrea Rovida ◽  
Vera D'Amico ◽  
Dario Albarello
Keyword(s):  
Southern Italy ◽  
Central Italy ◽  
Probabilistic Approach ◽  
Source Characterization ◽  
Strong Earthquakes ◽  
Intensity Prediction ◽  
Macroseismic Intensities ◽  
Earthquake Effects ◽  
Available Information

Abstract. The geographic distribution of earthquake effects quantified in terms of macroseismic intensities, the so-called macroseismic field, provides basic information for several applications including source characterization of pre-instrumental earthquakes and risk analysis. Macroseismic fields of past earthquakes as inferred from historical documentation may present spatial gaps, due to the incompleteness of the available information. We present a probabilistic approach aimed at integrating incomplete intensity distributions by considering the Bayesian combination of estimates provided by intensity prediction equations (IPEs) and data documented at nearby localities, accounting for the relevant uncertainties and the discrete and ordinal nature of intensity values. The performance of the proposed methodology is tested at 28 Italian localities with long and rich seismic histories and for two well-known strong earthquakes (i.e., 1980 southern Italy and 2009 central Italy events). A possible application of the approach is also illustrated relative to a 16th-century earthquake in the northern Apennines.

scholarly journals Impact of Changes in Land Use and Land Cover in the Contribution Basin of Doutor João Penido Water Supply Reservoir of Juiz de Fora, MG, Brazil

2021 ◽  
Vol 11 (1) ◽  
pp. 108
Author(s):  
Juliana Nazareth de Lana ◽  
Márcio de Oliveira ◽  
Vanessa Romario de Paula ◽  
Cézar Henrique Barra Rocha
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Water Supply ◽  
Quality Parameters ◽  
E Coli ◽  
The City ◽  
Water Supply Reservoirs ◽  
Limnological Parameters

Changes in the land use and land cover in areas adjacent to water reservoirs directly affect the quality of this water. This research presents a study on the water quality in the basin of one of the most important public water supply reservoirs in the city of Juiz de Fora, Minas Gerais. The main objective of this study was to analyze the behavior of limnological parameters and the correlation with land use and land cover in the contribution basin of the Doutor João Penido reservoir (CBJPR). The methodology was based on the analysis of water quality parameters, related to water samples collected from 2012 to 2015. Six sampling points were chosen from different locations: spring, medium course, main tributaries of the reservoir and the reservoir catchment. The parameters analyzed were turbidity, total solids (TS), oxygen consumed (OC), dissolved oxygen (DO), electrical conductivity, total nitrogen (TN), total phosphorus (TP), E. Coli, temperature, pH and total dissolved solids (TDS). The Kendall’s tau test was used to analyze the correlations between the parameters of water quality, land use and land cover in the CBJPR. In general, measured parameters showed better results in spring and in reservoir catchment, showing a worse quality of the water along the tributaries and the dilution power of the reservoir. The correlations pointed to the need for protection and preservation of forests in strategic locations to ensure good water quality.

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