Identifying Homogeneous Water Quality Regions in the Nile River Using Multivariate Statistical Analysis

Awadallah, Ayman G.; Yousry, Mohsen

doi:10.1007/s11269-012-9997-0

Cited by 19 publications

(6 citation statements)

References 27 publications

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“…[11]. When nonpoint source pollution is predominant, land use pattern can be used to predict the seasonal variation in water quality [12].…”

Section: Introductionmentioning

confidence: 99%

Seasonal Water Quality Upstream of Dahuofang Reservoir, China – the Effects of Land Use Type at Various Spatial Scales

Chen

et al. 2014

CLEAN Soil Air Water

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Inappropriate land use is considered a main factor in the deterioration of water quality. The relationship between land use and water quality (RLW) is complex, so the exploration of how seasonal water quality is affected by land use at various spatial scales can benefit our understanding of the RLW. We examined data for 110 sampling sites upstream of Dahuofang Reservoir in China. RLWs in three seasons and at three spatial scales were analyzed via Spearman's rank correlation coefficient. After excluding unreliable data attributed to point source pollution and spatial autocorrelation, we found that land use in the riparian zone within 100 m of the river was correlated with water quality during the rainy season. Taking into account the influences of spatial pattern of the land use on water quality, breakpoint regression analysis indicated that when fragmented forest land covers more than 37% of the local riparian zone, the deterioration of water quality will be mitigated, in contrast water pollution would be exacerbated when un-fragmented dry farmland exceeds 54%. Therefore, when analyzing RLW, selection of the appropriate spatial scale and season as well as improvement of land use patterns can facilitate rational and effective basin management.

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“…[11]. When nonpoint source pollution is predominant, land use pattern can be used to predict the seasonal variation in water quality [12].…”

Section: Introductionmentioning

confidence: 99%

Seasonal Water Quality Upstream of Dahuofang Reservoir, China – the Effects of Land Use Type at Various Spatial Scales

Chen

et al. 2014

CLEAN Soil Air Water

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“…Ward's method uses an analysis of variance approach to evaluate the distances between clusters where groups are formed so that the pooled within‐group sum of squares is minimized. In addition, the method tends to create clusters of small size and was regarded as very efficient (Awadallah and Yousry, ).…”

Section: Methodsmentioning

confidence: 99%

Statistical Framework to Assess Water Quality for Irrigation and Drainage Canals

Shaban

2016

Irrig. and Drain.

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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.

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“…The study area of this work includes four water ways, Figure 1, Rosetta branch (one of the main two branches of the Nile River) and El‐Mahmoudia canal represent two of the vital water resources for the Nile Delta and the western Delta regions. As general, the water quality status of the Nile River in Egypt has been investigated in many publications whether comparing measured water quality records against the national water quality standards for the Nile River (Amaal M Abdel‐Satar, 2005; El‐Sayed & Salem, 2015; Shamrukh & Abdel‐Wahab, 2011; Wahaab & Badawy, 2004), applying statistical tools (Awadallah & Yousry, 2012; Hamed, 2019; Khalil et al, 2011; Yousry & El Gammal, 2015) or using a WQI (Al‐Afify et al, 2018; Badawy et al, 2020; El‐Rayes et al., 2018; El Sayed et al, 2020; Elhdad, 2019; Elshemy & Meon, 2017; Goher et al, 2014; Hasaballah et al, 2019; Khan et al, 2008; M. Radwan, 2005; Reda et al, 2015; Z. Salem et al, 2017; Z. E.‐S. Salem et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Surface water quality management for drinking use in El‐Beheira Governorate, Egypt

Hussien

Rashwan

Elshemy

2021

Water Environment Research

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This research was initiated to assess and manage water quality status of fourteen surface drinking water intakes in El‐Beheira Governorate, Egypt. The study was conducted on four main branches of water resources in the governorate. Three water quality indices (WQIs) and two multivariate statistical techniques were applied, based on the Egyptian guidelines for the Nile River. Water quality records were collected for two successive years, 2014 and 2015, and were analyzed by descriptive statistics. The results revealed the critical water quality status of the four branches at the fourteen intakes. The multivariate statistical techniques returned the critical water quality conditions to the agricultural drainage and the domestic wastewater discharges. In addition, a new software application was developed to manage WQIs calculation. An urgent water quality monitoring and assessment system should be initiated for the drinking water resources all over Egypt, based on the developed water quality assessment techniques of this study. Practitioner points Three different WQIs and two different statistics tools were applied. Critical water quality status for the investigated surface drinking water intakes was reported. Agricultural drainage then domestic effluents are the main pollution sources. A new software application was developed to calculate WQIs to support decision makers.

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Identifying Homogeneous Water Quality Regions in the Nile River Using Multivariate Statistical Analysis

Cited by 19 publications

References 27 publications

Seasonal Water Quality Upstream of Dahuofang Reservoir, China – the Effects of Land Use Type at Various Spatial Scales

Seasonal Water Quality Upstream of Dahuofang Reservoir, China – the Effects of Land Use Type at Various Spatial Scales

Statistical Framework to Assess Water Quality for Irrigation and Drainage Canals

Surface water quality management for drinking use in El‐Beheira Governorate, Egypt

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