Water resources of the Mississippi embayment; Cretaceous aquifers in the Mississippi embayment, with discussions of quality of the water

1965 ◽  
Author(s):  
E.H. Boswell ◽  
G.K. Moore ◽  
L.M. MacCary ◽  
H.G. Jeffery ◽  
Keyword(s):  
Water Resources ◽  
Mississippi Embayment

Water resources of the Mississippi embayment; Tertiary aquifers in the Mississippi embayment, with discussions of quality of the water

1968 ◽  
Author(s):  
R.L. Hosman ◽  
A.T. Long ◽  
T.W. Lambert ◽  
H.G. Jeffery ◽  
Keyword(s):  
Water Resources ◽  
Mississippi Embayment

Fluctuations of Annual Precipitation and Water Resources Quality in Ukraine

2016 ◽  
Vol 10 (4s) ◽  
pp. 621-629
Author(s):  
Valentina Pidlisnyuk ◽  
◽  
John Harrington JR ◽  
Yulia Melnyk ◽  
Yuliya Vystavna ◽  
...  
Keyword(s):  
Water Resources ◽  
Surface Waters ◽  
Precipitation Amount ◽  
Ion Concentration ◽  
Annual Precipitation ◽  
Resource Quality ◽  
Phosphate Ion ◽  
Regional Trends

The article focuses on examining the influence of fluctuations in annual precipitation amount on the quality of surface waters. Water quality was estimated with data on BOD, COD and phosphate–ion concentration within five selected regions of Ukraine. Analysis of the precipitation data (1991 – 2010) showed different regional trends. Using the statistics, determination of the interconnection between precipitation amount and water resources quality were done. The obtained regularities and associated uncertainties can be used for prediction of changes in water resource quality and as a guide for future adaptation to possible climate change.

Physico-Chemical Analysis of Groundwater and Effect of Climatic Change in Angul-Talcher Area

2018 ◽  
Vol 6 (12) ◽  
pp. 26
Author(s):  
Aliva Bera ◽  
D.P. Satapathy
Keyword(s):  
Water Resources ◽  
Linear Regression ◽  
Regression Model ◽  
Climatic Change ◽  
Linear Regression Model ◽  
Ann Model ◽  
Quality Of Water ◽  
Physico Chemical ◽  
Simulation Based

In this paper, the linear regression model using ANN and the linear regression model using MS Excel were developed to estimate the physico-chemical concentrations in groundwater using pH, EC, TDS, TH, HCO3 as input parameters and Ca, Mg and K as output parameters. A comparison was made which indicated that ANN model had the better ability to estimate the physic-chemical concentrations in groundwater. An analytical survey along with simulation based tests for finding the climatic change and its effect on agriculture and water bodies in Angul-Talcher area is done. The various seasonal parameters such as pH, BOD, COD, TDS,TSS along with heavy elements like Pb, Cd, Zn, Cu, Fe, Mn concentration in water resources has been analyzed. For past 30 years rainfall data has been analyzed and water quality index values has been studied to find normal and abnormal quality of water resources and matlab based simulation has been done for performance analysis. All results has been analyzed and it is found that the condition is stable. 

Ground-water resources of the lower Yellowstone River valley between Miles City and Glendive, Montana, with a section on the chemical quality of the water

Circular ◽  
10.3133/cir93 ◽  
1951 ◽  
Author(s):  
Alfred E. Torrey ◽  
Frank Albert Swenson ◽  
Herbert A. Swenson
Keyword(s):  
Water Resources ◽  
Ground Water ◽  
River Valley ◽  
Chemical Quality ◽  
Yellowstone River

Low-flow characteristics of streams in the Mississippi embayment in Tennessee, Kentucky, and Illinois, with a section on quality of the water

1965 ◽  
Author(s):  
P.R. Speer ◽  
W.J. Perry ◽  
J.A. McCabe ◽  
O.G. Lara ◽  
H.G. Jeffery
Keyword(s):  
Flow Characteristics ◽  
Low Flow ◽  
Mississippi Embayment
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