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Statistical Framework to Assess Water Quality for Irrigation and Drainage Canals
Author(s) -
Shaban M.
Publication year - 2017
Publication title -
irrigation and drainage
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 38
eISSN - 1531-0361
pISSN - 1531-0353
DOI - 10.1002/ird.2042
Subject(s) - drainage , irrigation , water resource management , water quality , environmental science , hydrology (agriculture) , quality (philosophy) , geology , geotechnical engineering , biology , agronomy , physics , ecology , quantum mechanics
The rapid pace of economic growth in Egypt has been accompanied by resource depletion and environmental degradation. Consequently, management action and regular assessment to meet the challenges are essential. The aim of this work is to introduce a statistical framework to assess water quality for irrigation and drainage canals in accordance to monitoring objectives that deal with pollutant concentrations and loads. The water quality/quantity data collected from 2000 to 2013 for the El‐Salam Canal and the Hadus Drain in Egypt were used as case studies. A framework that includes a series of statistical tools was employed to facilitate better handling of the collected data and then transform it into fruitful information. These tools included descriptive statistics, frequency/percentile analysis and presenting pollutant loads through boxplot analysis. Finally, hierarchical cluster analysis was employed to classify the monitoring locations into a number of groups that have similar water quality conditions. The success in applying the proposed framework to the El‐Salam Canal and Hadus Drain data showed its effectiveness and applicability to check compliance with water quality standards and allocate waste loads from different sources as well as classifying water quality status. Copyright © 2016 John Wiley & Sons, Ltd.