The Applicability of DC Resistivity Imaging to Investigating the Feedback Mechanism Between Water Quality and Transpiration Beneath Circular Islands in the Okavango Delta, Botswana: A Case Study of Thata Island

2007 ◽  
Author(s):  
Loago N. Molwalefhe ◽  
Elisha M. Shemang
Keyword(s):  
Water Quality ◽  
Feedback Mechanism ◽  
Okavango Delta ◽  
Dc Resistivity ◽  
Resistivity Imaging

Surface Water Quality Assessment. Case Study: Târnava Mare River, Mediaș Town-Romania

2011 ◽  
Vol 4 (5) ◽  
pp. 70-72
Author(s):  
Cristina Roşu ◽  
◽  
Ioana Piştea ◽  
Carmen Roba ◽  
Mihaela Mihu ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Assessment ◽  
Surface Water Quality ◽  
Water Quality Assessment

IMPACT OF INDUSTRIAL EFFLUENTS ON GROUND WATER QUALITY- A CASE STUDY OF GUJRANWALA, PAKISTAN

2018 ◽  
Vol 2 (1) ◽  
pp. 18-20 ◽  
Author(s):  
Muhammad Usman ◽  
Mian Bilal Khalid ◽  
Hafsa Yasin ◽  
Abdul Nasir, ◽  
Ch Arslan
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Industrial Effluents ◽  
Ground Water Quality

Establishment of Method for Identification of Water Quality in Fire-Tube Boiler - A Case Study for UTHM Biodiesel Plant's Boiler

2019 ◽  
Vol 11 (5) ◽  
Author(s):  
Kamal N. M. A. N. M. ◽  
◽  
Nasir N. F. ◽  
Abdul Patar M. A. ◽  
Seis M. F. ◽  
...  
Keyword(s):  
Water Quality ◽  
In Fire

Potential impacts of slum urbanisation on channel bank storage in the Bang Pakong River, Thailand

2012 ◽  
Vol 7 (4) ◽  
Author(s):  
K. Harriden
Keyword(s):  
Water Quality ◽  
Balance Equations ◽  
Physical Processes ◽  
Social Phenomena ◽  
Urban Settlements ◽  
Recharge Rates ◽  
Water Quality Deterioration ◽  
Informal Urban Settlements ◽  
Storage Processes

Generally regarded as social phenomena, this paper regards slum urbanisation as an environmental actor. Specifically, how slum developments modify hydrogeomorphological processes motivates this research. Using the Bang Pakong River, eastern Thailand, as a case study, a literature review was conducted. The literature reviewed indicated changes in physical processes such as channel bank stability, water quality, flow regimes and the hydrological balance equations can occur with slum development. Given the importance of channel banks as the physical basis of many slum sites, this paper focuses on the possible changes to channel bank storage in the Bang Pakong River following slum urbanisation. The research highlights possible changes to channel bank storage processes, notably decreased storage recharge rates; increased anthropogenic extraction; and probable water quality deterioration. Deeper scientific understanding of how river processes are affected by specific forms of urban development can contribute to better management of both informal urban settlements and rivers.

Investigation of a New Approach to Predict Water Quality Extremes with a Case Study of Chemical Determinands in Stream Water

1991 ◽  
Vol 24 (6) ◽  
pp. 25-33
Author(s):  
A. J. Jakeman ◽  
P. G. Whitehead ◽  
A. Robson ◽  
J. A. Taylor ◽  
J. Bai
Keyword(s):  
Water Quality ◽  
Stream Water ◽  
Probability Distributions ◽  
Management Strategies ◽  
Hybrid Modelling ◽  
Trend Model ◽  
Environmental Extremes ◽  
Modelling Approach

The paper illustrates analysis of the assumptions of the statistical component of a hybrid modelling approach for predicting environmental extremes. This shows how to assess the applicability of the approach to water quality problems. The analysis involves data on stream acidity from the Birkenes catchment in Norway. The modelling approach is hybrid in that it uses: (1) a deterministic or process-based description to simulate (non-stationary) long term trend values of environmental variables, and (2) probability distributions which are superimposed on the trend values to characterise the frequency of shorter term concentrations. This permits assessment of management strategies and of sensitivity to climate variables by adjusting the values of major forcing variables in the trend model. Knowledge of the variability about the trend is provided by: (a) identification of an appropriate parametric form of the probability density function (pdf) of the environmental attribute (e.g. stream acidity variables) whose extremes are of interest, and (b) estimation of pdf parameters using the output of the trend model.

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