Hydrochemical characteristics and identification of groundwater pollution sources in tropical savanna

被引:26
作者
Abdulsalam, Abduljalal [1 ,2 ]
Ramli, Mohammad Firuz [1 ]
Jamil, Nor Rohaizah [1 ]
Ashaari, Zulfa Hanan [1 ]
Umar, Da'u Abba [3 ]
机构
[1] Univ Putra Malaysia, Fac Forestry & Environm, Dept Environm, Serdang 43400, Selangor, Malaysia
[2] Kaduna State Univ, Fac Sci, Dept Geog, Kaduna, Nigeria
[3] Fed Univ Dutse, Fac Sci, Dept Environm Sci, Dutse, Nigeria
关键词
Classic chemical method; Groundwater; Pollution sources; Tropical savanna; MULTIVARIATE STATISTICAL-ANALYSIS; WATER-QUALITY INDEX; RISK-ASSESSMENT; BASIN; PLAIN; RIVER;
D O I
10.1007/s11356-022-18552-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Groundwater pollution of the watershed is mainly influenced by the multifaceted interactions of natural and anthropogenic processes. In this study, classic chemical and multivariate statistical methods were utilized to assess the groundwater quality and ascertain the potential contamination sources affecting the groundwater quality of Galma sub-watershed in a tropical savanna. For this purpose, the data set of 18 groundwater quality variables covering 57 different sampling boreholes (BH) was used. The groundwater samples essentially contained the cations in the following order of dominance: Ca2+ > Na+ > Mg2+ > K+. However, the anions had HCO3- > Cl- > SO4-2 > NO3- respectively. The hydrochemical facies classified the groundwater types of the sub-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 of the studied area. The weathering of the basement rocks was responsible for the concentrations of these ions in the groundwater chemistry of the sub-watershed. Hierarchical cluster analysis (HCA) grouped the groundwater samples (boreholes) into five clusters that are statistically significant regarding the similarities of groundwater quality characteristics. The principal component analysis (PCA) extracted two major principal components explained around 65% of the variance and suggested the natural and anthropogenic processes especially the agricultural pollutants including synthetic fertilizers, and leaching of agricultural waste as the main factors affecting the groundwater quality. The integrated method proved to be efficient and robust for groundwater quality evaluation, as it guaranteed the precise assessment of groundwater chemistry in the sub-watershed of the tropical savanna. The findings of this investigation could be useful to the policy makers for developing effective groundwater management plans for the groundwater resources and protection of the sub-watershed.
引用
收藏
页码:37384 / 37398
页数:15
相关论文
共 63 条
[1]   Evaluation of groundwater quality in central Saudi Arabia using hydrogeochemical characteristics and pollution indices [J].
Alharbi, Talal ;
El-Sorogy, Abdelbaset S. ;
Qaysi, Saleh ;
Alshehri, Fahad .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (38) :53819-53832
[2]   Spatial and seasonal changes in monitoring water quality of Savanna River system [J].
Aliyu, Adamu Gaddafi ;
Jamil, Nor Rohaizah Binti ;
bin Adam, Mohd Bakri ;
Zulkeflee, Zufarzaana .
ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (02)
[3]  
[Anonymous], 2018, Standard Methods For the Examination of Water and Wastewater
[4]  
[Anonymous], 2018, Nature-Based Solutions for Water
[5]  
Badamasi S, 2016, V24, P51
[6]   Heavy Metal(loid)s in the Groundwater of Shabestar Area (NW Iran): Source Identification and Health Risk Assessment [J].
Barzegar, Rahim ;
Asghari Moghaddam, Asghar ;
Soltani, Shahla ;
Fijani, Elham ;
Tziritis, Evangelos ;
Kazemian, Naeimeh .
EXPOSURE AND HEALTH, 2019, 11 (04) :251-265
[7]   Identification of hydrogeochemical processes and pollution sources of groundwater resources in the Marand plain, northwest of Iran [J].
Barzegar, Rahim ;
Moghaddam, Asghar Asghari ;
Tziritis, Evangelos ;
Fakhri, Mir Sajjad ;
Soltani, Shahla .
ENVIRONMENTAL EARTH SCIENCES, 2017, 76 (07)
[8]   Groundwater quality assessment using multivariate analysis, geostatistical modeling, and water quality index (WQI): a case of study in the Boumerzoug-El Khroub valley of Northeast Algeria [J].
Bouteraa, Oualid ;
Mebarki, Azeddine ;
Bouaicha, Foued ;
Nouaceur, Zeineddine ;
Laignel, Benoit .
ACTA GEOCHIMICA, 2019, 38 (06) :796-814
[9]   Chemical modeling of groundwater in the Banat Plain, southwestern Romania, with elevated As content and co-occurring species by combining diagrams and unsupervised multivariate statistical approaches [J].
Butaciu, Sinziana ;
Senila, Marin ;
Sarbu, Costel ;
Ponta, Michaela ;
Tanaselia, Claudiu ;
Cadar, Oana ;
Roman, Marius ;
Radu, Emil ;
Sima, Mihaela ;
Frentiu, Tiberiu .
CHEMOSPHERE, 2017, 172 :127-137
[10]   Spatial modelling of groundwater quality across a land use and land cover gradient in Limpopo Province, South Africa [J].
Dube, Timothy ;
Shoko, Cletah ;
Sibanda, Mbulisi ;
Baloyi, Moses M. ;
Molekoa, Mmasabata ;
Nkuna, Dimakatso ;
Rafapa, Bentley ;
Rampheri, Berel M. .
PHYSICS AND CHEMISTRY OF THE EARTH, 2020, 115