scholarly journals Characterizing the spatial variability of groundwater quality using the entropy theory: I. Synthetic data

2004 ◽  
Vol 18 (11) ◽  
pp. 2165-2179 ◽  
Author(s):  
Y. Mogheir ◽  
J. L. M. P. de Lima ◽  
V. P. Singh
Keyword(s):  
Spatial Variability ◽  
Groundwater Quality ◽  
Synthetic Data ◽  
Entropy Theory

Attribute Recognition Model Based on Entropy Weight and Its Application to Evaluation of Groundwater Quality

2010 ◽  
Vol 29-32 ◽  
pp. 2698-2702
Author(s):  
Xian Qi Zhang ◽  
Wen Hong Feng ◽  
Nan Nan Li
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Information Entropy ◽  
Simple Calculation ◽  
Weight Coefficient ◽  
Entropy Theory ◽  
Entropy Weight ◽  
Recognition Model ◽  
Model Based ◽  
Attribute Recognition

It is necessary to take into account synthetically attribute of every index because of independence and incompatibility resulted from single index evaluating outcomes. Through the information entropy theory and attribute recognition model being combined together, attribute recognition model based on entropy weight is constructed and applied to evaluating groundwater quality by a new method, weight coefficient by the law of entropy value is exercised so that it is more objective. The outcome from concrete application indicates that it is suitable to evaluate water quality with reasonable conclusion and simple calculation.

Groundwater Quality: Analysis of Its Temporal and Spatial Variability in a Karst Aquifer

Ground Water ◽  
2017 ◽  
Vol 56 (1) ◽  
pp. 62-72 ◽  
Author(s):  
Roger Pacheco Castro ◽  
Julia Pacheco Ávila ◽  
Ming Ye ◽  
Armando Cabrera Sansores
Keyword(s):  
Spatial Variability ◽  
Groundwater Quality ◽  
Karst Aquifer ◽  
Quality Analysis ◽  
Temporal And Spatial Variability ◽  
Temporal And Spatial

scholarly journals Spatial variability and long-term analysis of groundwater quality of Faisalabad industrial zone

2016 ◽  
Vol 7 (6) ◽  
pp. 3197-3205 ◽  
Author(s):  
Muhammad Salman Nasir ◽  
Abdul Nasir ◽  
Haroon Rashid ◽  
Syed Hamid Hussain Shah
Keyword(s):  
Spatial Variability ◽  
Groundwater Quality ◽  
Industrial Zone ◽  
Term Analysis

scholarly journals A Study on Spatial Variability of Groundwater Quality From a Fluoride Infested Aquifer of Nalgonda District of Telangana State, India.

2018 ◽  
Vol 7 (3.31) ◽  
pp. 228
Author(s):  
K M. Ganesh ◽  
M Sita Rama Reddy ◽  
A C.S.V.Prasad ◽  
J Jeevan Kumar
Keyword(s):  
Spatial Variability ◽  
Groundwater Quality ◽  
First Person ◽  
Third Person ◽  
The Subject ◽  
Telangana State ◽  
Nalgonda District

The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work.  The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first person.  

Redesigning and monitoring groundwater quality and quantity networks by using the entropy theory

2019 ◽  
Vol 191 (4) ◽  
Author(s):  
Mohammad Nazeri Tahroudi ◽  
Abbas Khashei Siuki ◽  
Yousef Ramezani
Keyword(s):  
Groundwater Quality ◽  
Entropy Theory

scholarly journals Assessment of spatial structure of groundwater quality variables based on the entropy theory

2003 ◽  
Vol 7 (5) ◽  
pp. 707-721 ◽  
Author(s):  
Y. Mogheir ◽  
J. L. M. P. de Lima ◽  
V. P. Singh
Keyword(s):  
Spatial Structure ◽  
Groundwater Quality ◽  
Gaza Strip ◽  
Monitoring Network ◽  
Entropy Theory ◽  
Correlation Model ◽  
Groundwater Quality Monitoring ◽  
Spatial Sampling Design ◽  
The Gaza Strip ◽  
The Cost

Abstract. Fundamental to the spatial sampling design of a groundwater quality monitoring network is the spatial structure of groundwater quality variables. The entropy theory presents an alternative approach to describe this variability. A case study is presented which used groundwater quality observations (13 years; 1987-2000) from groundwater domestic wells in the Gaza Strip, Palestine. The analyses of the spatial structure used the following variables: Electrical Conductivity (EC), Total Dissolved Solids (TDS), Calcium (Ca), Magnesium (Mg), Sodium (Na), Potassium (K), Chloride (Cl), Nitrate (NO3), Sulphate (SO4), alkalinity and hardness. For all these variables the spatial structure is described by means of Transinformation as a function of distance between wells (Transinformation Model) and correlation also as a function of distance (Correlation Model). The parameters of the Transinformation Model analysed were: (1) the initial value of the Transinformation; (2) the rate of information decay; (3) the minimum constant value; and (4) the distance at which the Transinformation Model reaches its minimum value. Exponential decay curves were fitted to both models. The Transinformation Model was found to be superior to the Correlation Model in representing the spatial variability (structure). The parameters of the Transinformation Model were different for some variables and similar for others. That leads to a reduction of the variables to be monitored and consequently reduces the cost of monitoring. Keywords: transinformation, correlation, spatial structure, municipal wells, groundwater monitoring, entropy

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