Geostatistical analysis using GIS for mapping groundwater quality: case study in the recharge area of Wadi Usfan, western Saudi Arabia

Marko, Kuswantoro; Al-Amri, Nassir S.; Elfeki, Amro

doi:10.1007/s12517-013-1156-2

Cited by 65 publications

(35 citation statements)

References 10 publications

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“…En iyi yarıvariogram modelini belirlemek için RMSE değeri kullanılmış, en küçük RMSE değerini gösteren model seçilmiştir [23]. Tablo 4'te görüldüğü gibi elde edilen sonuçlar, RMSE'ye dayalı en iyi yarıvariogram modelinin her su kalitesi parametresi için değiştiğini göstermektedir.…”

Section: Tablo 4 Her Yarıvariogram Modeli Için Kök Ortalama Kare Hatunclassified

“…Bunun yanında "tahmin hatası" terimi gerçekte ölçülen ve tahmin edilen değerler arasındaki farkı tanımlamak için kullanılır. Tahmin sonuçlarının doğruluğu için, ortalama hata (ME) 0'a yakın olmalı, kök ortalama kare hatası (RMSE) ve ortalama standart hata (MSE) mümkün olduğunca küçük olmalı ve kök ortalama kare standartlaştırılmış hata (RMSSE) 1'e yakın olmalıdır [23,51]. Sonuçlar, tahmin edilen ve ölçülen değerler arasındaki karşılaştırmaların makul derecede iyi olduğunu göstermektedir (Şekil 7).…”

Section: Tablo 4 Her Yarıvariogram Modeli Için Kök Ortalama Kare Hatunclassified

“…RMSE, en iyi model değerini karşılaştırmak için kullanılır ve en küçük RMSE değeri verilere en uygun modeli gösterir [23]. Bu araştırmada, yeraltısuyu kimyasının mekansal analizi için CBS yazılımı çerçevesinde uygulanan akış şeması Şekil 3'te gösterilmiştir.…”

Section: Introductionunclassified

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Isparta İl Merkezi̇ Yeraltisuyu Kali̇tesi̇ni̇n Jeoi̇stati̇sti̇ksel Yöntemler Kullanilarak Coğrafi̇ Bi̇lgi̇ Si̇stemleri̇ İle Hari̇talanmasi

Demer¹,

Hepdeniz²

2018

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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ÖZYeraltısuyu kalitesi, mekansal dağılıma bağlı olarak analiz edilmesi ve yönetilmesi gereken önemli bir çevresel unsurdur. Bu çalışmanın amacı, Coğrafi Bilgi Sistemleri (CBS) ve jeoistatistiksel algoritmalar kullanılarak Isparta il merkezinin yeraltısuyu kalitesinin değerlendirilmesine genel bir bakış sağlamaktır. GROUNDWATER QUALITY MAPPING OF ISPARTA CITY CENTER WITH GEOGRAPHICAL INFORMATION SYSTEMS USING GEOSTATISTICAL TECHNIQUES ABSTRACTGroundwater quality is an important environmental factor that must be analyzed and managed depending on spatial distribution. The aim of this study was to provide an overview for assessing the groundwater quality of Isparta province center using Geographical Information System (GIS) and geostatistical algorithms. In this study calcium (Ca 2+ ), magnesium (Mg 2+ ), sodium (Na + ), chloride (Cl -), nitrate (NO 3 -), electrical conductivity (EC) and temperature (T) parameters of waters were used. To reduce the skewness in the distributions of the groundwater chemical parameters, a data transformation process has been performed and it has been determined that the best semivariogram model based on the root mean square error (RMSE) changes for each water quality parameter. The normal kriging method has been applied to map the spatial distribution of groundwater chemistry. In terms of drinking water quality standards, all locations except for two locations have been found in accordance with the TS 266 (2005) criteria. High concentrations of NO 3 -in unsuitable locations (IC-3 and IC-8) were thought to be related to agricultural activities in the region. According to the spatial distribution prediction maps, EC, Ca 2+ and Mg 2+ concentrations of the waters in the region increase towards the northern part of the study area. Ca 2+ ,

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Section: Tablo 4 Her Yarıvariogram Modeli Için Kök Ortalama Kare Hatunclassified

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Isparta İl Merkezi̇ Yeraltisuyu Kali̇tesi̇ni̇n Jeoi̇stati̇sti̇ksel Yöntemler Kullanilarak Coğrafi̇ Bi̇lgi̇ Si̇stemleri̇ İle Hari̇talanmasi

Demer¹,

Hepdeniz²

2018

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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“…Kumar and Remadevi (2006) have compared various models of variogram such as spherical, exponential, and Gaussian to identify the spatial variation of groundwater in Rajasthan, India. Marko et al (2013) reported in their study of Wadi Usfan in the western region of Saudi Arabia that most of groundwater is not suitable for drinking purposes. Narany et al (2015) reported that the groundwater quality of Amol-Bahol plain, Iran that maps generated by ordinary kriging of EC, SAR, Na% indicated an increasing trend of concentration from western and southern areas to the east and north-east of the plain.…”

Section: Introductionmentioning

confidence: 99%

Geostatistical methods in evaluating spatial variability of groundwater quality in Al-Kharj Region, Saudi Arabia

et al. 2017

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The analyses of 180 groundwater samples of AlKharj, Saudi Arabia, recorded that most groundwaters are unsuitable for drinking uses due to high salinity; however, they can be used for irrigation with some restriction. The electric conductivity of studied groundwater ranged between 1.05 and 10.15 dS m -1 with an average of 3.0 dS m -1 . Nitrate was also found in high concentration in some groundwater. Piper diagrams revealed that the majority of water samples are magnesium-calcium/sulfate-chloride water type. The Gibbs's diagram revealed that the chemical weathering of rock-forming minerals and evaporation are influencing the groundwater chemistry. A kriging method was used for predicting spatial distribution of salinity (EC dS m -1 ) and NO 3 -(mg L -1 ) in Al-Kharj's groundwater using data of 180 different locations. After normalization of data, variogram was drawn, for selecting suitable model for fitness on experimental variogram, less residual sum of squares value was used. Then cross-validation and root mean square error were used to select the best method for interpolation. The kriging method was found suitable methods for groundwater interpolation and management using either GS? or ArcGIS.

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“…Using the ordinary kriging, they generated the maps of spatial variability of groundwater depth and quality for different time periods and found that the groundwater in 76.2% of the area is not safe for potable uses. In a variety of studies, El-Fadel et al (2014), Marko et al (2014), Lahlou et al (2013), Yimit et al (2011), Dash et al (2010, Adhikary et al (2010), Nas and Berktay (2010), Al Kuisi et al (2009), Nas (2009), Sun et al (2009, Ahmadi and Sedghamiz (2008) and Hu et al (2005) have employed geostatistical methods and the ordinary kriging for mapping groundwater levels and generating the maps of groundwater quality variables.…”

Section: Introductionmentioning

confidence: 99%

The temporal and spatial variations in groundwater salinity in Mazandaran Plain, Iran, during a long-term period of 26 years

et al. 2017

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Groundwater resources are one of the main sources of water supply for agricultural sector in Iran. Therefore, this study aimed to investigate the situation of groundwater salinity in Mazandaran for use in agriculture. In this study, statistical analysis of collected data, proper semivariogram model selection, cross validation of predictions and preparing probabilistic and zoning maps using geostatistical tools in the ArcGIS software, were performed. To investigate the spatial variations and preparing zoning maps of water salinity, ordinary kriging (OK) was used and the zoning maps were prepared. Spatial structure of electrical conductivity (EC) assessment showed a moderate spatial dependence in most years. Zoning and probabilistic maps of EC showed that the salinity of groundwater will be added and the most probable salinity is related the lowland areas in the eastern part of the plain. The use of this groundwater for irrigation in the long term can decrease the rice yield and faced rice production with a serious risk. The results of the Mann-Kendall and the Sen tests indicated a decreasing trend in the area of groundwater with EC higher than one dS/m in Mazandaran plain that this expressing an improvement in the quality of groundwater in the plain.

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Geostatistical analysis using GIS for mapping groundwater quality: case study in the recharge area of Wadi Usfan, western Saudi Arabia

Cited by 65 publications

References 10 publications

Isparta İl Merkezi̇ Yeraltisuyu Kali̇tesi̇ni̇n Jeoi̇stati̇sti̇ksel Yöntemler Kullanilarak Coğrafi̇ Bi̇lgi̇ Si̇stemleri̇ İle Hari̇talanmasi

Isparta İl Merkezi̇ Yeraltisuyu Kali̇tesi̇ni̇n Jeoi̇stati̇sti̇ksel Yöntemler Kullanilarak Coğrafi̇ Bi̇lgi̇ Si̇stemleri̇ İle Hari̇talanmasi

Geostatistical methods in evaluating spatial variability of groundwater quality in Al-Kharj Region, Saudi Arabia

The temporal and spatial variations in groundwater salinity in Mazandaran Plain, Iran, during a long-term period of 26 years

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