Assessment of Groundwater Quality of Anamur and Aydıncık Districts of Mersin, Türkiye in Terms of Irrigation Using Geographic Information System

Yıl 2025, Cilt: 22 Sayı: 3, 757 - 766, 29.09.2025

Demet Köseoğlu , Hakan Arslan

https://doi.org/10.33462/jotaf.1581182

Öz

Monitoring groundwater quality is very important in coastal areas with intensive irrigation. Excessive use of groundwater use coastal areas can lead to seawater intrusion. The quality of irrigation water significantly has a significant impact on a crop productivity and can cause soil salinization. This study was conducted to determine the quality of groundwater quality and assess its suitability for irrigation in the coastal regions of Anamur and Aydıncık districts in Mersin province. In August 2021, samples were taken from 51 groundwater wells used for greenhouse irrigations, and the values of pH, electrical conductivity (EC, Na, Mg, K, Cl, SO4, HCO3, and Ca were measured. To assess the suitability of the water for irrigation, values for %Na, PI, RSC, PS, MR, KI, and SAR were calculated. Additionally, spatial distribution maps were created for the water’s chemical properties and irrigation water quality indices. The groundwater’s EC values ranged from a minimum of 0.475 dS m⁻¹ to a maximum of 1.13 dS m⁻¹. According to the spatial distribution map, it was determined that 92.03% of the region’s groundwater quality is classified as Class 3 in terms of irrigation suitability. In 9.71% of the study area, magnesium (Mg) levels exceeded the acceptable threshold for irrigation water. Based on potential salinity (PS) values, 84.91% of the area falls within the medium class for irrigation suitability. The Permeability Index (PI) varies between 17.19 and 48.17, with an average value of 29.84. The potassium (K) values ranged from between 0.391 mg L⁻¹ to 10.557 mg L⁻¹, with 68.3% of the groundwater samples in the region exceeding the threshold value which could pose a risk for irrigation. It was determined that there were no problems in terms of SAR, KI and RSC in the groundwater samples in the area. Groundwater quality is above the limit values in some regions. Due to the intensive agricultural activities in the study area and its proximity to the coastline, it was established that groundwater extraction in the area should be controlled.

Anahtar Kelimeler

Groundwater quality , Geographic information system , Irrigation , Seawater intrusion

Etik Beyan

There is no need to obtain permission from the ethics committee for this study.

Coğrafi Bilgi Sistemi Kullanılarak Mersin İli Anamur ve Aydıncık İlçelerinin Yeraltısuyu Kalitesinin Sulama Açısından Değerlendirilmesi

Öz

Yoğun sulama yapılan kıyı bölgelerinde yeraltı suyu kalitesinin izlenmesi çok önemlidir. Kıyı bölgelerinde aşırı yeraltısuyu çekimi yapılması deniz suyu girişimine neden olabilmektedir. Sulama suyu kalitesi bitki verimini önemli derecede etkilemekte ve toprakta tuzlanmaya neden olabilmektedir. Bu çalışmada, Mersin ili Anamur ve Aydıncık ilçelerinin kıyı bölgelerindeki yeraltısuyu kalitesini belirlemek ve sulamada kullanıla birliğini incelemek amacıyla yürütülmüştür. Seraların sulanmasında kullanılan 51 adet yeraltısuyu kuyusundan Ağustos 2021 tarihinde örnek alınmış ve örneklerin pH, EC, Na, Mg, K, CI, SO4, HCO3, Ca değerleri tespit edilmiştir. Suların sulamaya uygunluğunu belirlemek için %Na, PI, RSC, PS, MR, KI, SAR değerleri belirlenmiştir. Suların kimyasal özellikleri ile sulama suyu kalite indekslerine ait değerlerin alansal dağılım haritaları hazırlanmıştır. Yeraltı sularının EC değeri en düşük 0.475 dS m-1 ve en yüksek ise 1.13 dS m-1 olarak ölçülmüş ve alansal dağılım haritasına göre bölgenin %92.03 lük kısmında yeraltısuyu kalitesinin sulamada açısından 3. Sınıf olduğu tespit edilmiştir. Çalışma alanının %9.71 lik kısmında ise Mg değerlerinin sulama suyu sınır değerinden yüksek olduğu belirlenmiştir. Potansiyel tuzluluk (PS) değerlerine göre ise alanının %84.91 sulama açısından orta sınıfta yer almıştır. Permeabilite İndeksi (PI) değerleri 17.19 ile 48.17 arasında değişmekte olup, ortalama değeri ise 29.84 olarak ölçülmüştür. Yersularından K değerleri 0.391 mg L-1 ile 10.557 mg L-1 arasında ölçülmüş ve bölgenin % 68.3’ ündeki K değerlerinin sulama açısından sorun oluşturabilecek seviyenin üzerinde olduğu tespit edilmiştir. Alandaki yeraltısuyu örneklerinde SAR, KI ve RSC açısından herhangi bir sorun olmadığı belirlenmiştir. Yeraltısuyu kalitesi bazı bölgelerde sınır değerlerinin üzerindedir. Çalışma alanının yoğun tarım yapılan ve deniz kıyısına yakın bölgelerden oluşması nedeniyle, yeraltısuyu çekiminin kontrollü şekilde yapılması gerektiği belirlenmiştir.

Anahtar Kelimeler

Yeraltısuyu kalitesi , Coğrafi bilgi sistemleri , Sulama , Denizsuyu girişimi

Etik Beyan

Bu çalışma için etik kuruldan izin alınmasına gerek yoktur.

Kaynakça

• Abdelkarim, B., Telahigue, F., Abaab, N., Boudabra, B. and Agoubi, B. (2023). AHP and GIS for assessment of groundwater suitability for irrigation purpose in coastal-arid zone: Gabes region, southeastern Tunisia. Environmental Science and Pollution Research, 30(6): 15422-15437. https://doi.org/10.1007/s11356-022-23193-4
• Abdessamed, D., Jodar-Abellan, A., Ghoneim, S. S., Almaliki, A., Hussein, E. E. and Pardo, M. Á. (2023). Groundwater quality assessment for sustainable human consumption in arid areas based on GIS and water quality index in the waterhed of Ain Sefra (SW of Algeria). Environmental Earth Sciences, 82(21): 510. https://doi.org/10.1007/s12665-023-11183-9
• Abulibdeh, A., Al-Awadhi, T., Al Nasiri, N., Al-Buloshi, A. and Abdelghani, M. (2021). Spatiotemporal mapping of groundwater salinity in Al-Batinah, Oman. Groundwater for Sustainable Development, 12: 100551. https://doi.org/10.1016/j.gsd.2021.100551
• Alkan, Ç., and Meral, R. (2024). Investigation of water quality of the Karasu River in Bilecik Province in terms of agricultural irrigation. Journal of Tekirdag Agricultural Faculty, 21(4): 1001-1016.
• Arslan, H. (2013). Application of multivariate statistical techniques in the assessment of groundwater quality in seawater intrusion area in Bafra Plain, Turkey. Environmental Monitoring and Assessment, 185: 2439-2452. https://doi.org/10.1007/s10661-012-2722-x.
• Arslan, H. (2017). Determination of temporal and spatial variability of groundwater irrigation quality using geostatistical techniques on the coastal aquifer of Çarşamba Plain, Turkey, from 1990 to 2012. Environmental Earth Sciences, 76(1): 38. https://doi.org/10.1007/s12665-016-6375-x
• Arslan, H. and Çolak, M. G. (2023). The assessment of groundwater quality through the water quality and nitrate pollution indexes in northern Türkiye. Environmental Monitoring and Assessment, 195(10): 1257. https://doi.org/10.1007/s10661-023-11854-x
• Arslan, H., Ayyıldız Turan, N., Demir, Y., Güngör, A. and Cemek, B. (2017). Assessment of spatial and seasonal changes in groundwater nitrate pollution of agricultural lands through ordinary and indicator kriging techniques. Archives of Agronomy and Soil Science, 63(7): 907-917. https://doi.org/10.1080/03650340.2016.1249472
• Arumugam, T., Kinattinkara, S., Kannithottathil, S., Velusamy, S., Krishna, M., Shanmugamoorthy, M. and Boobalakrishnan, K. V. (2023). Comparative assessment of groundwater quality indices of Kannur District, Kerala, India using multivariate statistical approaches and GIS. Environmental Monitoring and Assessment, 195(1): 29. https://doi.org/10.1007/s10661-022-10538-2
• Ayers, R. S. and Westcot, D. W. (1985) Water Quality for Agriculture. Irrigation and Drainage Paper, 29 (rev.1). FAO, Rome, Italy.
• Beyaz, R. and Kazankaya, A. (2024). Effect of NaCl-induced salt stress on germination and initial seedling growth of Lotus corniculatus L. cv.'Leo'. Journal of Tekirdag Agricultural Faculty, 21(1): 24-34.
• Bhunia, G. S., Keshavarzi, A., Shit, P. K., Omran, E. E. and Bagherzadeh, A. (2018). Evaluation of groundwater quality and its suitability for drinking and irrigation using GIS and geostatistics techniques in semi-arid region of Neyshabur, Iran. Applied Water Science, 8(6): 168. https://doi.org/10.1007/s13201-018-0795-6
• Cemek, B., Arslan, H., Küçüktopcu, E. ande Simsek, H. (2022). Comparative analysis of machine learning techniques for estimating groundwater deuterium and oxygen-18 isotopes. Stochastic Environmental Research and Risk Assessment, 36(12): 4271-4285.
• Delgado, C., Pacheco J., Cabrea A., Baltlori E., Orellana R. and Baustista, F. (2010). Quality of groundwater for irrigation in tropical karst environment; the case of Yucatan, Mexico. Agricultural Water Management, 97: 1423–1433. https://doi.org/10.1007/s00477-022-02262-7
• Devic, G., Djordjevic, D. and Sakan, S. (2014). Natural and anthropogenic factors affecting the groundwater quality in Serbia. Science of the Total Environment, 468: 933–942. https://doi.org/10.1016/j.scitotenv.2013.09.011
• Dhaoui, O., Agoubi, B., Antunes, I. M., Tlig, L. and Kharroubi, A. (2023). Groundwater quality for irrigation in an arid region—application of fuzzy logic techniques. Environmental Science and Pollution Research, 30(11): 29773-29789. https://doi.org/10.1007/s11356-022-24334-5
• Doneen, L. D. (1962) The Influence of Crop and Soil on Percolating Water. Biennial Conference on Groundwater Recharge, P. 156–163, 28-29 June 1961, California, U.S.A.
• Doneen, L. D. (1964) Notes on Water Quality in Agriculture. Department of Water Science and Engineering, University of California, U.S.A.
• Duraisamy, S., Govindhaswamy, V., Duraisamy, K., Krishinaraj, S., Balasubramanian, A. and Thirumalaisamy, S. (2019). Hydrogeochemical characterization and evaluation of groundwater quality in Kangayam taluk, Tirupur district, Tamil Nadu, India, using GIS techniques. Environmental Geochemistry and Health, 41: 851–873. https://doi.org/10.1007/s10653-018-0183-z
• Eaton, F. M. (1950). Significance of carbonates in irrigation water. Soil Science, 69(2): 123–134. https://doi.org/10. 1097/00010694-195002000-00004
• Food and Agriculture Organization of the United Nations (FAO). (1994). Water Quality for Agriculture. FAO Irrigation and Drainage Paper. Rome, Italy.
• Gasmi, O., Louati, M., Chekirbane, A., Menchen, A., Twihri, A., Alday, J. J. G. and Mlayah, A. (2022). Assessment of groundwater quality and pesticide distribution in Mornag aquifer using GIS-based technique (Northeast Tunisia). Arabian Journal of Geosciences, 15(11): 1042. https://doi.org/10.1007/s12517-022-10210-6
• Jha, M. K., Shekhar, A. and Jenifer, M. A. (2020). Assessing groundwater quality for drinking water supply using hybrid fuzzy-GIS-based water quality index. Water Research, 179: 115867. https://doi.org/10.1016/j.watres. 2020.115867
• Kelly, W.P. (1940). Permissible composition and concentration of irrigation waters. Proceedings of the American Society of Civil Engineers, 66(4-1): 607-613.
• Kıy Şahin M. and Arslan, H. (2021). Assessment of groundwater quality for irrigation and drinking using different quality indices and geostatistical methods in Çorum province (Turkey). Irrigation and Drainage, 70(4): 871-886. https://doi.org/10.1002/ird.2593
• Masoud, M., El Osta, M., Alqarawy, A., Elsayed, S. and Gad, M. (2022). Evaluation of groundwater quality for agricultural under different conditions using water quality indices, partial least squares regression models, and GIS approaches. Applied Water Science, 12(10): 244. https://doi.org/10.1007/s13201-022-01770-9
• Maurya, P. K., Ali, S. A., Zaidi, S. K., Wasi, S., Tabrez, S., Malav, L. C. and Yadav, K. K. (2023). Assessment of groundwater geochemistry for drinking and irrigation suitability in Jaunpur district of Uttar Pradesh using GIS-based statistical inference. Environmental Science and Pollution Research, 30(11): 29407-29431. https://doi.org/10.1007/s11356-022-23959-w
• Pappaka, R. K., Somagouni, S. G., Chinthala, K. and Nakkala, A. B. (2024). Appraisal of groundwater quality for suitability of drinking and irrigation purposes of pandameru river basin, anantapur district, AP, India. Arabian Journal of Geosciences, 17(1): 23. https://doi.org/10.1007/s12517-023-11827-x
• Ramkumar, T., Venkatramanan, S., Anithamary, I. and Ibrahim, S. M. S. (2013). Evaluation of hydrogeochemical parameters and quality assessment of the groundwater in Kottur blocks, Tiruvarur district, Tamilnadu, India. Arabian Journal of Geosciences, 6: 101-108. https://doi.org/10.1007/s12517-011-0327-2
• Richards, L. A. (1954) Diagnosis and Improvement of Saline and Alkali Soils, U. S. Department of Agriculture Handbook, Washington USA. 160. https://www.ars.usda.gov/ARSUserFiles/20360500/hb60_pdf/hb60complete.pdf
• Siddha, S. and Sahu, P. (2023). Integrating GIS and irrigation water quality index approaches for identifying groundwater irrigation potential zones in Central Gujarat, India. Environmental Monitoring and Assessment, 195(9): 1082. https://doi.org/10.1007/s10661-023-11695-8
• Sunduraraj, P., Madurai Chidambaram, S. K., Sivakumar, V. and Natarajan, L. (2022). Groundwater quality assessment and its suitability for drinking and agricultural purpose, Dindigul taluk, Tamilnadu, India. Chemical Papers, 76: 6591–6605. https://doi.org/10.1007/s11696-022-02344-4
• Szabolcs, I. (1964). The influence of irrigation water of high sodium-carbonate content on soils. Agrokemia es Talajtan, 13: 237-246.
• Taşan, S. (2023). Estimation of groundwater quality using an integration of water quality index, artificial intelligence methods and GIS: Case study, Central Mediterranean Region of Turkey. Applied Water Science, 13(1): 15. https://doi.org/10.1007/s13201-022-01810-4
• US Salinity Laboratory Staff (1954). Diagnosis and Improvement of Saline and Alkali Soils. US Department of Agriculture, Handbook No. 60, pp: 160.Washington, U.S.A.
• Wilcox, L. V. (1955). Classifcation and Uses of Irrigation Water. US Dept. Agric. Circular no. 969, Washington, DC., U.S.A