scholarly journals Countrywide Groundwater Quality Trend and Suitability for Use in Key Sectors of Korea

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1193
Author(s):  
Chanhyeok Jeon ◽  
Maimoona Raza ◽  
Jin-Yong Lee ◽  
Heejung Kim ◽  
Chang-Seong Kim ◽  
...  
Keyword(s):  
Groundwater Quality ◽  
Monitoring Network ◽  
Temporal Variations ◽  
World Health ◽  
Quality Data ◽  
Water Type ◽  
Suitability Analysis ◽  
Water Quality Data ◽  
Suitability Evaluation ◽  
Groundwater Samples

Under changing climate, increasing groundwater use has risen the concern for groundwater quality variations over recent years, to maintain a healthy ecosystem. The objectives were to identify trend of temporal variations in groundwater quality and its suitability for different uses in Republic of Korea. Water quality data were collected from 198 monitoring stations of Groundwater Quality Monitoring Network (GQMN), annually for the period of ten years (2008–2017). Non-parametric trend analysis of a Mann–Kendall test and Theil–Sen’s slope was done on groundwater physico-chemical data of ten years. Groundwater suitability evaluation was done for use in main sectors including domestic (drinking) and agriculture (irrigation). For drinking suitability analysis, results were compared with World Health Organization (WHO) and Korean Ministry of Environment (KME) established guidelines. For irrigation suitability evaluation, electrical conductivity (EC), Sodium Adsorption Ratio (SAR), percent of Na+, Residual Sodium Carbonate (RSC), US Salinity Laboratory (USSL), and Wilcox diagram were used. Most significantly, water type belongs to Ca-HCO3 and Ca-SO4 types, but a small proportion belongs to Na-CO3 and Na-Cl types. Approximately, 96% and 93% of groundwater samples are suitable for drinking, based on WHO and KME guidelines, respectively. Around 98% and 83% of groundwater samples are in suitable range for irrigation use, based on USSL and Wilcox diagrams, respectively.

scholarly journals Study of groundwater contamination and drinking suitability in basaltic terrain of Maharashtra, India through PIG and multivariate statistical techniques

2020 ◽  
Vol 69 (4) ◽  
pp. 398-414 ◽  
Author(s):  
Vasant Wagh ◽  
Shrikant Mukate ◽  
Aniket Muley ◽  
Ajaykumar Kadam ◽  
Dipak Panaskar ◽  
...  
Keyword(s):  
Major Ions ◽  
Principal Component ◽  
World Health ◽  
Quality Data ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Water Quality Data ◽  
Post Monsoon ◽  
Groundwater Samples

Abstract The integration of pollution index of groundwater (PIG), multivariate statistical techniques including correlation matrix (CM), principal component analysis (PCA), cluster analysis (CA) and various ionic plots was applied to elucidate the influence of natural and anthropogenic inputs on groundwater chemistry and quality of the Kadava river basin. A total of 80 groundwater samples were collected and analysed for major ions during pre- and post-monsoon seasons of 2012. Analytical results inferred that Ca, Mg, Cl, SO4 and NO3 surpass the desirable limit (DL) and permissible limit (PL) of Bureau of Indian Standards (BIS) and the World Health Organization (WHO) in both the seasons. The elevated content of total dissolved solids (TDS), Cl, SO4, Mg, Na and NO3 is influenced by precipitation and agricultural dominance. PIG results inferred that 52.5 and 35%, 30 and 37.5%, 12.5 and 20%, 2.5 and 5% groundwater samples fall in insignificant, low, moderate and high pollution category (PC) in pre- and post-monsoon seasons, respectively. PC 1 confirms salinity controlled process due to high inputs of TDS, Ca, Mg, Na, Cl and SO4. Also, PC 2 suggests alkalinity influence by pH, CO3, HCO3 and F content. PIG and statistical techniques help to interpret the water quality data in an easier way.

scholarly journals Domestic Groundwater Quality in the Northern Governorates of the West Bank, Palestine

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Banan Hejaz ◽  
Issam A. Al-Khatib ◽  
Nidal Mahmoud
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Groundwater Quality ◽  
West Bank ◽  
Pollution Prevention ◽  
Drinking Water Quality ◽  
World Health ◽  
Quality Data ◽  
The West ◽  
Water Quality Data

Like several parts in the Middle East, the West Bank is in a significant water scarcity status. Palestinians use groundwater as the main water source, supplying more than 90% of the consumed water in the West Bank. The aim of this study is to enhance the knowledge on drinking water quality in the West Bank. Groundwater quality data was obtained from the Palestinian Water Authority, including the years 2015 and 2016, from the Northern six districts of the West Bank. The water quality data were analyzed and matched with the World Health Organization (WHO) guidelines and the Palestinian standards for drinking water quality. The findings of this study revealed that groundwater in the north of the West Bank comply with several drinking water requirements including total hardness, pH, and sodium and chloride content. Conversely, 18% of the samples exceed the limits for nitrate concentration. The fecal Coliforms and total Coliforms results show that 98.7% of the samples give no risk, but 1.3% of the samples give low risk, and no sample gives intermediate-to-high risks. The microbial and chemical pollution of groundwater is postulated to inadequate wastewater management, high use of fertilizers, and uncontrolled disposal of animal manure. Therefore, it is crucial to disinfect drinking water at the source of production before supply as an immediate action, followed by implementing pollution prevention measures.

Groundwater Quality Assessment Using Geospatial Techniques and WQI in North East of Adama Town, Oromia Region, Ethiopia

2020 ◽  
Vol 3 (1) ◽  
pp. 22-36 ◽  
Author(s):  
Shankar Karuppannan ◽  
Nafyad Serre Kawo
Keyword(s):  
Groundwater Quality ◽  
Sustainable Use ◽  
World Health ◽  
Geospatial Techniques ◽  
Distribution Maps ◽  
North East ◽  
Drinking And Irrigation ◽  
Groundwater Samples ◽  
Arc Gis ◽  
Health Organization

Assessment of groundwater quality is vital for the sustainable use of the resources for domestic and agricultural purposes. In this study spatial variation of physicochemical parameters were analyzed for Northeast Adama Town. Water Quality Index (WQI) and irrigation indices were used to determine the suitability of groundwater for drinking and irrigation purposes, respectively. Further, the physical-chemical results were compared with the Ethiopian standards and the World Health Organization (WHO) standards for drinking and public health. Using GIS interpolation methods in Arc GIS 10.3.1, spatial distribution maps of pH, TDS, EC, Cl−, HCO32−, SO42−, Ca2+, Mg2+, Na+ and K+, RSC, SAR, Na% were prepared. Results indicated that except ASTU well 2, all samples are below the desirable limits of WHO. The WQI results indicated that 85% of samples and 15% of samples were in good and poor categories, respectively. Irrigation indices show that the most groundwater samples have excellent water classes, indicating that they are suitable for irrigation purposes.

scholarly journals Hydrochemistry of Groundwater in Northeast Part of Anbar Governorate – West of Iraq

2019 ◽  
Vol 16 (1) ◽  
pp. 0088
Author(s):  
Hussein Ilaibi Zamil Al-Sudani
Keyword(s):  
Electrical Conductivity ◽  
Groundwater Quality ◽  
Total Dissolved Solids ◽  
Water Type ◽  
Hydrochemical Parameters ◽  
Dissolved Solids ◽  
Drinking Purposes ◽  
Groundwater Samples ◽  
Geological Formation ◽  
Continental Origin

A groundwater quality assessment has been carried out in northeast part of Anbar governorate in western Iraq. We analyzed hydrochemical parameters such as pH, electrical conductivity, total dissolved solids presence of ions to describe groundwater quality. The study area has the only confined aquifer within the geological formation extended in area. Values of groundwater hydrochemical parameters were ranged from (7) to (7.9) for ph, (1599) to (6800) µmhos/cm for electrical conductivity (EC) and (1048) to (4446) mg/l for total dissolved solids (TDS). The origins and types of groundwater in the area were of marine origin and MgCl2 water type while only (6) samples were of continental origin and Na2SO4 water type. Groundwater utilization indicated that it can't be used for drinking purposes, while few groundwater wells can be used for agricultural and (33) groundwater samples can be used for animal purposes. However, the nature of the soil in the area and the depth of the groundwater qualified water for agricultural uses in significant and wide ranges.

scholarly journals Clustering of Time Series Water Quality Data Using Dynamic Time Warping: A Case Study from the Bukhan River Water Quality Monitoring Network

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2411
Author(s):  
Seulbi Lee ◽  
Jaehoon Kim ◽  
Jongyeon Hwang ◽  
EunJi Lee ◽  
Kyoung-Jin Lee ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Monitoring Network ◽  
Water Quality Monitoring ◽  
Euclidean Algorithm ◽  
Quality Monitoring ◽  
Quality Data ◽  
Time Warping ◽  
Water Quality Data ◽  
Dynamic Time

It is essential to monitor water quality for river water management because river water is used for various purposes and is directly related to the health and safety of a population. Proper network installation and removal is an important part of water quality monitoring and network operation efficiency. To do this, cluster analysis based on calculated similarity between measuring stations can be used. In this study, we measured the similarities between 12 water quality monitoring stations of the Bukhan River. River water quality data always have a station-dependent time lag because water flows from upstream to downstream; therefore, we proposed a Dynamic Time Warping (DTW) algorithm that searches for the minimum distance by changing and comparing time-points, rather than using the Euclidean algorithm, which compares the same time-point. Both Euclidean and DTW algorithms were applied to nine water quality variables to identify similarities between stations, and K-medoids cluster analysis were performed based on the similarity. The Clustering Validation Index (CVI) was used to select the optimal number of clusters. Our results show that the Euclidean algorithm formed clusters by mixing mainstream and tributary stations; the mainstream stations were largely divided into three different clusters. In contrast, the DTW algorithm formed clear clusters by reflecting the characteristics of water quality and watershed. Furthermore, because the Euclidean algorithm requires the lengths of the time series to be the same, data loss was inevitable. As a result, even where clusters were the same as those obtained by DTW, the characteristics of the water quality variables in the cluster differed. The DTW analysis in this study provides useful information for understanding the similarity or difference in water parameter values between different locations. Thus, the number and location of required monitoring stations can be adjusted to improve the efficiency of field monitoring network management.

scholarly journals Pioneering water quality data on the Lake Victoria watershed: effects on human health

2015 ◽  
Vol 13 (3) ◽  
pp. 920-930 ◽  
Author(s):  
Tamie J. Jovanelly ◽  
Julie Johnson-Pynn ◽  
James Okot-Okumu ◽  
Richard Nyenje ◽  
Emily Namaganda
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Lake Victoria ◽  
Fecal Coliforms ◽  
World Health ◽  
Quality Data ◽  
Water Quality Data ◽  
Data Set ◽  
Forest Reserves ◽  
Elevated Exposure

Four forest reserves within 50 km of Kampala in Uganda act as a critical buffer to the Lake Victoria watershed and habitat for local populations. Over a 9-month period we capture a pioneering water quality data set that illustrates ecosystem health through the implementation of a water quality index (WQI). The WQI was calculated using field and laboratory data that reflect measured physical and chemical parameters (pH, dissolved oxygen, biological oxygen on demand, nitrates, phosphates, fecal coliform, and temperature turbidity). Overall, the WQI for the four forest reserves reflect poor to medium water quality. Results compared with US Environmental Protection Agency and World Health Organization drinking water standards indicate varying levels of contamination at most sites and all designated drinking water sources, with signatures of elevated nitrates, phosphates, and/or fecal coliforms. As critical health problems are known to arise with elevated exposure to contaminants in drinking water, this data set can be used to communicate necessary improvements within the watershed.

scholarly journals Groundwater Quality of Coastal Aquifer Evaluation Using Spatial Analysis Approach

2018 ◽  
Vol 34 (6) ◽  
pp. 2902-2912
Author(s):  
J. Saravanan ◽  
Kishan Singh Rawat ◽  
Sudhir Kumar Singh
Keyword(s):  
Groundwater Quality ◽  
Spatial Data ◽  
Tamil Nadu ◽  
Research Work ◽  
Quality Parameters ◽  
World Health ◽  
Entire Study ◽  
Groundwater Samples ◽  
Health Organization

Groundwater quality of Thiruvallur (district of Tamil Nadu) of coastal areas of the Bay of Bengal has been studied. Standard overlay analysis; techniques have been used for analyzing spatial data in Geographic Information System platform. For this research work, groundwater samples were collected from bore wells and open wells covering the whole study area. The collected samples were analyzed for physical, cations and anions. The thematic maps of groundwater quality parameters of the entire study area were prepared using Inverse Distance Weightage interpolation technique. Further, water quality index was computed for the region on a recommendation of standard permissible limitsrecommended by World Health Organization (WHO) 2006 for the suitability of groundwater for drinking purposes.

Groundwater Origin and Quality Appraisal through a Combined Geochemical and Isotopic Approach in the Great Algiers District (Algeria)

2021 ◽  
Author(s):  
Dalèle Khous ◽  
Adnane Souffi Moulla ◽  
Mohammed El-Hocine Cherchali ◽  
Hadjer Chorfi ◽  
Mounia Benchabane ◽  
...  
Keyword(s):  
Water Quality ◽  
World Health ◽  
Water Type ◽  
Groundwater Origin ◽  
Groundwater Samples ◽  
Quality Of Waters ◽  
Atmospheric Disturbances ◽  
Direct Infiltration ◽  
Health Organization

Abstract The assessment of the origin of water that is allocated both for people and for irrigation in the eastern part of the Mitidja plain was carried out making use of geochemical and isotopic tools (18O, 2H and 3H). Both hydrochemical and isotopic information gathered for eastern Mitidja alluvial aquifer were used for the sake of assessing the mechanisms controlling groundwater chemistry. This allowed one to identify: (i) the natural or the anthropogenic processes that control groundwater quality, (ii) the origin of groundwater and when its recharge occurs. The work involved sampling campaigns, in situ measurements, and analyses of ions, heavy metals and water isotope content. Results showed a fair overall chemical quality of waters, since the assessment of water quality using water quality index (WQI) revealed that 90 % of the groundwater samples are good. Mitidja’s groundwaters fall into the Cl−SO4−Ca water type, that is mainly induced by water-rock interactions (dissolution of evaporites). The concentrations in Fe, Mn, Ni and Cd for some of the samples were found higher than the prescribed limits recommended by the World Health Organization. Isotopes indicate that groundwater is young since it originates from direct infiltration of precipitation that is mostly induced by Mediterranean atmospheric disturbances.

Main knowledge gaps in critical zone processes and behaviour: Extracting information from water quality time-series data and models outputs

2020 ◽  
Author(s):  
Zahra Thomas ◽  
Ophélie Fovet ◽  
Qian Zhang ◽  
Channa Rajanayaka ◽  
Christian Zammit ◽  
...  
Keyword(s):  
Water Quality ◽  
Time Series ◽  
Monitoring Network ◽  
Water Quality Monitoring ◽  
Critical Zone ◽  
Quality Monitoring ◽  
Quality Data ◽  
Knowledge Gaps ◽  
Water Quality Data ◽  
Insight Into

<p>In the last few decades, the degradation of water quality and resulting regulations, such as the European Water Framework Directive, the United States Clean Water Act, and the New Zealand Resource Management Act 1991 have promoted water quality monitoring in terms of parameter richness, spatial density and high temporal resolution. Long-term catchment observatories have been strengthened to gain insight into hydrological and biogeochemical processes. New technologies have been developed and deployed to collect more in situ water quality data at higher frequencies. Thus, water quality monitoring around the world has produced a large amount of data from research catchments but also from national monitoring networks. Despite these efforts, water quality data are highly heterogeneous in terms of targeted parameters, measurement methods, sampling frequencies. Also, accessibility to water samples differ from each hydrological compartment (stream, groundwater, soil water and precipitation). Among water quality time-series, higher sampling frequencies are available for stream water where monitoring is relatively easy to carry out generating a high amount of data. However, groundwater data are rare since monitoring and access is relatively difficult. Also, the aim of monitoring network evolved with time. In fact, networks are usually established for a specific purpose which is changing with time and the questions the network is trying to answer? This raise the issue of spatial and temporal flexibility- multi purpose network and the use of network to support model development which could be seen as a “theoretical” monitoring network.</p><p>The objective of this talk is to present a review of methods used for analysing temporal water quality signals and models outputs, based on a panel of examples from few but densely monitored environmental research observatories. Such infrastructures also give an insight into critical zone (CZ) research that help to build a transdisciplinary community to identify the main knowledge gaps in CZ processes and behaviour.</p>

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