scholarly journals Groundwater Quality in Agricultural Lands Near a Rapidly Urbanized Area, South China

2021 ◽  
Vol 18 (4) ◽  
pp. 1783
Author(s):  
Lingxia Liu ◽  
Shihua Qi ◽  
Wenzhong Wang
Keyword(s):  
Groundwater Quality ◽  
Evaluation Method ◽  
Groundwater Resources ◽  
Principal Component ◽  
Poor Quality ◽  
Fuzzy Synthetic Evaluation ◽  
Agricultural Lands ◽  
Agricultural Areas ◽  
Porous Aquifers ◽  
Geogenic Sources

Understanding the groundwater quality and its factors is a key issue in the context of the use and protection of groundwater resources in agricultural areas near urbanized areas. This study assessed the groundwater quality in agricultural areas in the Pearl River Delta (PRD) by a fuzzy synthetic evaluation method and determined the main factors controlling the groundwater quality by principal component analysis (PCA). Results showed that approximately 85% of groundwater sites in agricultural lands in the PRD were good-quality (drinkable). Drinkable groundwater was 95% and 80% in fissured aquifers and porous aquifers, respectively. Poor-quality groundwater in porous aquifers was controlled by four factors according to the PCA, including the seawater intrusion; the lateral recharge and irrigation of surface water and geogenic sources for As, Fe, NH4+, and Mn; the wastewater infiltration; and the geogenic sources for iodide. By contrast, another four factors, including the infiltration of wastewater and agricultural fertilizers, the geogenic sources for heavy metals, the geogenic sources for iodide, and the irrigation of contaminated river water, were responsible for the poor-quality groundwater in fissured aquifers. Therefore, in the future, the groundwater protection in agricultural lands in the PRD should be strengthened because the majority of groundwater in these areas was good-quality and suitable for drinking and agricultural purposes. In addition, poor-quality groundwater in agricultural lands in the PRD was a small proportion and negligible because the factors for poor-quality groundwater are complicated.

scholarly journals Hydrochemical and multivariate analysis of groundwater quality in the northwest of Sinai, Egypt

2017 ◽  
Vol 15 (4) ◽  
pp. 644-657 ◽  
Author(s):  
M. F. El-Shahat ◽  
M. A. Sadek ◽  
W. M. Salem ◽  
A. A. Embaby ◽  
F. A. Mohamed
Keyword(s):  
Groundwater Quality ◽  
Groundwater Resources ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Human Consumption ◽  
Development Programs ◽  
Aquifer Recharge ◽  
Economic Activities ◽  
Groundwater Samples ◽  
Principal Factors

The northwestern coast of Sinai is home to many economic activities and development programs, thus evaluation of the potentiality and vulnerability of water resources is important. The present work has been conducted on the groundwater resources of this area for describing the major features of groundwater quality and the principal factors that control salinity evolution. The major ionic content of 39 groundwater samples collected from the Quaternary aquifer shows high coefficients of variation reflecting asymmetry of aquifer recharge. The groundwater samples have been classified into four clusters (using hierarchical cluster analysis), these match the variety of total dissolvable solids, water types and ionic orders. The principal component analysis combined the ionic parameters of the studied groundwater samples into two principal components. The first represents about 56% of the whole sample variance reflecting a salinization due to evaporation, leaching, dissolution of marine salts and/or seawater intrusion. The second represents about 15.8% reflecting dilution with rain water and the El-Salam Canal. Most groundwater samples were not suitable for human consumption and about 41% are suitable for irrigation. However, all groundwater samples are suitable for cattle, about 69% and 15% are suitable for horses and poultry, respectively.

scholarly journals Irrigation Groundwater Quality Characteristics: A Case Study of Cyprus

Atmosphere ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 302 ◽  
Author(s):  
Georgios Nikolaou ◽  
Damianos Neocleous ◽  
Christos Christophi ◽  
Theodosia Heracleous ◽  
Marinos Markou
Keyword(s):  
Adverse Effects ◽  
Groundwater Quality ◽  
Precision Agriculture ◽  
Groundwater Resources ◽  
Salt Content ◽  
Infiltration Rate ◽  
Climate Impacts ◽  
Soil Infiltration ◽  
Agricultural Areas

This study was conducted in order to investigate possible quality changes in Cyprus’ groundwater resources over a 10-year period of pumping and to check the suitability of primary irrigation water. Water samples (n = 890) from private wells in agricultural areas were analyzed from 2009 to 2018 to determine various physicochemical properties. The sodium adsorption ratio (SAR) and residual sodium carbonate (RSC) were also calculated to evaluate potential soil degradation issues. Sodium, chloride and sulphate were found to be the predominant ions in groundwater. Quality evaluation showed possible restrictions in groundwater use for irrigation in relation to its salt content and the toxicity of specific ions having adverse effects on sensitive and several moderately sensitive crops. In particular, an increasing trend was observed in pumped groundwater for boron ion concentrations. Nevertheless, all samples evaluated were suitable for irrigation in terms of soil sodicitation and soil infiltration rate. This study indicates that in order to maintain long-term agricultural sustainability it is imperative to develop strategic plants to mitigate the adverse effects of water-pumped quality deterioration on soils and crops. Precision agriculture techniques may be adapted for better water and nutrient input/output management, thus protecting groundwater from salinization in agricultural areas. These results, among others, may be a useful tool to enhance the ability of Cyprus’s agricultural water sector to adapt to observed and anticipated climate impacts.

scholarly journals The groundwater quality of Aruba, Bonaire and Curaçao: a hydrogeochemical study

2000 ◽  
Vol 79 (4) ◽  
pp. 459-466 ◽  
Author(s):  
M.H.G. van Sambeek ◽  
H.G.M. Eggenkamp ◽  
M.J.M. Vissers
Keyword(s):  
Groundwater Quality ◽  
Urban Areas ◽  
Isotope Composition ◽  
Groundwater Resources ◽  
Agricultural Waste ◽  
Poor Quality ◽  
Anthropogenic Influences ◽  
Calcite Dissolution ◽  
Caribbean Islands ◽  
Groundwater Samples

AbstractThe Groundwater resources on the Caribbean Islands of Aruba, Bonaire and Curaçao are limited and of poor quality. The groundwater of the islands is brackish, due to both seawater mixing and the semi-arid climate of the islands. Two hundred and thirty water samples were collected to relate chemical variations in the groundwater of the three islands to the underlying differences in geology, and to define the natural versus anthropogenic influences. Both the chemical and isotopic (δ180, δD, and δ37Cl) compositions of samples were determined.Several geochemical processes are recognised in the chemistry of the groundwater samples. The most important processes are calcite dissolution, cation exchange, silicate weathering and potassium fixation. In (sub)urban areas anthropogenic influences affect the groundwater quality: high nitrate concentrations were measured. Infiltrating domestic and agricultural (waste)water replenishes the aquifer, and has a desalinization effect on the groundwater quality. This phenomenon is primarily seen on Curaçao, the most populated island.Oxygen and hydrogen isotopie compositions of groundwaters from Curaçao and Bonaire show that the samples are either meteoric water, or are affected by evaporation or seawater mixing. No distinction could be made between the last two processes. Only a few samples were measured for the Cl-isotope composition; all showed that no physical processes have taken place.

scholarly journals Hydrochemical Characteristics and Identification of Groundwater Pollution Sources in Tropical Savanna

2021 ◽  
Author(s):  
Abduljalal Abdulsalam ◽  
Mohammad Ramli ◽  
Nor Jamil ◽  
Zulfa Ashaari ◽  
Da’u Umar
Keyword(s):  
Groundwater Quality ◽  
Groundwater Pollution ◽  
Groundwater Resources ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Pollution Sources ◽  
Water Type ◽  
Multivariate Statistical ◽  
Factors Affecting ◽  
Anthropogenic Processes

Groundwater pollution of the watershed is mainly influenced by the multifaceted interactions of geogenic and anthropogenic processes. In this study, classic chemical and multivariate statistical methods were used to assess the groundwater quality and identify the potential pollution sources affecting the groundwater quality of Galma sub-watershed in a tropical savannah. For this purpose, the dataset of 18 groundwater quality variables covering 57 different sampling boreholes (BH) was used. The order of abundance of the main cations and anions in the samples are Ca2+ > Na+ > Mg2+ > K+ and HCO3− > Cl− > SO4−2 > NO3− respectively. Piper diagram classified the groundwater types of the watershed into mixed Ca–Mg–Cl type of water, which means no cations and anions exceeds 50%. The second dominant water type was Ca–Cl. The Mg–HCO3 water type was found in BH 9, and Na–Cl water type in BH 29 respectively. Hierarchical cluster analysis grouped the sampling boreholes into five statistically significant clusters based on similarities of groundwater quality characteristics. Principal component extracted two principal components that explained around 65% of the total variance, which natural and anthropogenic processes especially agricultural activities as the dominant factors affecting the groundwater quality. The findings of this study are useful to the policy and decision-makers for formulating efficient groundwater utilization and management plans for the groundwater resources.

Quality Appraisal of Groundwater in Arid Regions Using Probabilistic and Deterministic Approaches

2019 ◽  
Vol 25 (4) ◽  
pp. 331-344
Author(s):  
Milad Ebrahimi ◽  
Hamidreza Kazemi ◽  
Majid Ehteshami ◽  
Thomas D. Rockaway
Keyword(s):  
Groundwater Quality ◽  
Arid Regions ◽  
Groundwater Resources ◽  
Effective Means ◽  
Probabilistic Approach ◽  
Principal Component ◽  
Human Consumption ◽  
Deterministic Approach ◽  
Climate Conditions

ABSTRACT This study explores using probabilistic and deterministic approaches for evaluating the quality of groundwater resources. The proposed methodology first used the probabilistic approach, which included multivariate statistical analysis, to classify the groundwater's physiochemical characteristics. Then, building on the obtained results, the deterministic approach, which included hydrochemistry analyses, was applied for comprehensive assessment of groundwater quality for different applications. To present this multidisciplinary approach, a basin located in an arid region was studied. Considering the results from correlation and principal component analyses, along with hierarchical Q-mode cluster analysis, chloride salts dissolution was identified within the aquifer. Further application of the deterministic approach revealed degradation of groundwater quality throughout the basin, possibly due to the saltwater intrusion. By developing the water quality index and a multi-hazard risk assessment methodology, the suitability of groundwater for human consumption and irrigation purposes was assessed. The obtained results were compared with two other studies conducted on aquifers under similar arid climate conditions. This comparison indicated that quality of groundwater resources within arid regions is prone to degradation from salinization. The combined consideration of probabilistic and deterministic approaches provided an effective means for comprehensive evaluation of groundwater quality across different aquifers or within one.

scholarly journals The effect of deep percolation in agricultural lands on contaminant concentration of groundwater

2021 ◽  
Vol 1 (2) ◽  
pp. 33-40
Keyword(s):  
Nitrate Concentration ◽  
Groundwater Resources ◽  
Winter Season ◽  
Health Improvement ◽  
Deep Percolation ◽  
Agricultural Lands ◽  
Significant Difference ◽  
Result Show ◽  
Agricultural Areas ◽  
Nitrate Distribution

Abstract: Balance management and the health improvement of the limited groundwater resources are unavoidable to prevent of water scarcity. The irrigation drainable water is the main factors of groundwater contamination that depended on leaching amount, type of surface contaminants and used fertilizer provided the different levels of pollution. In this research, the effect of deep percolation amount on nitrate concentration and salinity in Shahrekord plain is analyzed. The sensitivity of chemical parameters such as Ca, SO4, Cl, Na, K, HCO3 relative to season variation, also nitrate distribution in 80 to 86 years are investigated. For this subject, 10 agricultural areas were identified and estimated their discharge volume and deep percolation. The result show that the groundwater nitrate concentration in the summer season is depended on depletion volume from the effective limitation with R-squared value equal to 0.9, except two cases that NO3 is under the wastewater effect. Na, K and HCO3 in the winter season have a significant difference rather than summer. Also nitrate mapping indicated that the considerable part of groundwater nitrate is happen by leaching in the agricultural lands.

scholarly journals The hydrochemical characteristics and quality assessment of groundwater in Shuangliao City, China

2019 ◽  
Vol 98 ◽  
pp. 01034 ◽  
Author(s):  
Mingjun Liu ◽  
Changlai Xiao ◽  
Xiujuan Liang
Keyword(s):  
Groundwater Quality ◽  
Human Activities ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Hydrochemical Characteristics ◽  
Analytic Hierarchy ◽  
Liaohe River ◽  
Geological Conditions ◽  
Type Water

In this study, a hydrochemical investigation was conducted in Shuangliao city to identify the hydrochemical characteristics and the quality of groundwater using descriptive statistics and correlation matrices. And on that basis, combined with Analytic hierarchy process (AHP), an improved two-level fuzzy comprehensive evaluation method is used to evaluate the groundwater quality. The results indicate that the major cations and anions in groundwater are Ca2+ and HCO3-, respectively. The chemical types are mainly HCO3—Ca type water, some areas are complicated due to the influence of human activities. The evaluation results show that the water quality in the area is mostly III type water, and the groundwater quality in some areas is IV or V water due to the influence of primary geological conditions or human activities. The groundwater quality in the East Liaohe River Valley and Shuangliao urban area is relatively poor, and in the northwest part which is the saline alkali soil area is also relatively poor.

scholarly journals Adsorption Mechanism of Patulin from Apple Juice by Inactivated Lactic Acid Bacteria Isolated from Kefir Grains

Toxins ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 434
Author(s):  
Pascaline Bahati ◽  
Xuejun Zeng ◽  
Ferdinand Uzizerimana ◽  
Ariunsaikhan Tsoggerel ◽  
Muhammad Awais ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
High Performance ◽  
Apple Juice ◽  
Adsorption Mechanism ◽  
Health Hazard ◽  
Principal Component ◽  
Poor Quality ◽  
Potential Health ◽  
Potential Health Hazard ◽  
Kefir Grains

In the food industry, microbiological safety is a major concern. Mycotoxin patulin represents a potential health hazard, as it is heat-resistant and may develop at any stage during the food chain, especially in apple-based products, leading to severe effects on human health, poor quality products, and profit reductions. The target of the study was to identify and characterize an excellent adsorbent to remove patulin from apple juice efficiently and to assess its adsorption mechanism. To prevent juice fermentation and/or contamination, autoclaving was involved to inactivate bacteria before the adsorption process. The HPLC (high-performance liquid chromatography) outcome proved that all isolated strains from kefir grains could reduce patulin from apple juice. A high removal of 93% was found for juice having a 4.6 pH, 15° Brix, and patulin concentration of 100 μg/L by Lactobacillus kefiranofacien, named JKSP109, which was morphologically the smoothest and biggest of all isolates in terms of cell wall volume and surface area characterized by SEM (Scanning electron microscopy) and TEM (transmission electron microscopy). C=O, OH, C–H, and N–O were the main functional groups engaged in patulin adsorption indicated by FTIR (Fourier transform–infrared). E-nose (electronic nose) was performed to evaluate the aroma quality of the juices. PCA (Principal component analysis) results showed that no significant changes occurred between control and treated juice.

scholarly journals Large-Scale Precipitation Variability over Northwest China Inferred from Tree Rings

2011 ◽  
Vol 24 (13) ◽  
pp. 3457-3468 ◽  
Author(s):  
Keyan Fang ◽  
Xiaohua Gou ◽  
Fahu Chen ◽  
Edward Cook ◽  
Jinbao Li ◽  
...  
Keyword(s):  
Tree Ring ◽  
Large Scale ◽  
Principal Component ◽  
Northwest China ◽  
Poor Quality ◽  
Contour Method ◽  
Precipitation Reconstruction ◽  
Nw China ◽  
Climate Station ◽  
Instrumental Records

Abstract A preliminary study of a point-by-point spatial precipitation reconstruction for northwestern (NW) China is explored, based on a tree-ring network of 132 chronologies. Precipitation variations during the past ~200–400 yr (the common reconstruction period is from 1802 to 1990) are reconstructed for 26 stations in NW China from a nationwide 160-station dataset. The authors introduce a “search spatial correlation contour” method to locate candidate tree-ring predictors for the reconstruction data of a given climate station. Calibration and verification results indicate that most precipitation reconstruction models are acceptable, except for a few reconstructions (stations Hetian, Hami, Jiuquan, and Wuwei) with degraded quality. Additionally, the authors compare four spatial precipitation factors in the instrumental records and reconstructions derived from a rotated principal component analysis (RPCA). The northern and southern Xinjiang factors from the instrumental and reconstructed data agree well with each other. However, differences in spatial patterns between the instrumentation and reconstruction data are also found for the other two factors, which probably result from the relatively poor quality of a few stations. Major drought events documented in previous studies—for example, from the 1920s through the 1930s for the eastern part of NW China—are reconstructed in this study.

scholarly journals Evaluating the groundwater quality of Damodar Fan Delta (India) using fuzzy-AHP MCDM technique

2021 ◽  
Vol 11 (7) ◽  
Author(s):  
Sadik Mahammad ◽  
Aznarul Islam
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Fuzzy Ahp ◽  
Poor Quality ◽  
Quality Parameters ◽  
Analytic Hierarchy ◽  
Fan Delta ◽  
Quality Water ◽  
Calcium Magnesium ◽  
Groundwater Quantity

AbstractIn recent years, groundwater pollution has become increasingly a serious environmental problem throughout the world due to increasing dependency on it for various purposes. The Damodar Fan Delta is one of the agriculture-dominated areas in West Bengal especially for rice cultivation and it has a serious constraint regarding groundwater quantity and quality. The present study aims to evaluate the groundwater quality parameters and spatial variation of groundwater quality index (GWQI) for 2019 using the fuzzy analytic hierarchy process (FAHP) method. The 12 water quality parameters such as pH, TDS, iron (Fe−) and fluoride (F−), major anions (SO42−, Cl−, NO3−, and HCO3−), and cations (Na+, Ca2+, Mg2+, and K+) for the 29 sample wells of the study area were used for constructing the GWQI. This study used the FAHP method to define the weights of the different parameters for the GWQI. The results reveal that the bicarbonate content of 51% of sample wells exceeds the acceptable limit of drinking water, which is maximum in the study area. Furthermore, higher concentrations of TDS, pH, fluoride, chloride, calcium, magnesium, and sodium are found in few locations while nitrate and sulfate contents of all sample wells fall under the acceptable limits. The result shows that 13.79% of the samples are excellent, 68.97% of the samples are very good, 13.79% of the samples are poor, and 3.45% of the samples are very poor for drinking purposes. Moreover, it is observed that very poor quality water samples are located in the eastern part and the poor water wells are located in the northwestern and eastern part while excellent water quality wells are located in the western and central part of the study area. The understanding of the groundwater quality can help the policymakers for the proper management of water resources in the study area.

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