Comparison of interpolation methods based on Geographic Information System (GIS) in the spatial distribution of seawater intrusion

MAULINA TANJUNG, SAUMI SYAHREZA, MUHAMMAD RUSDI

Abstract


The study of monitoring seawater intrusion and groundwater quality in a coastal area needs to be done regularly to prevent the clean water crisis problems in the future. Accurate and reliable interpolation of seawater intrusion over a region is the requirement of an efficient monitoring. In this study, different interpolation methods were investigated and compared to determine the best interpolation method for predicting the spatial distribution of seawater intrusion in the coastal area of Banda Aceh. Groundwater electrical conductivity (EC) was analyzed to identify the contamination of seawater intrusion into the coastal aquifers. Four interpolation methods such as Empirical Bayesian Kriging (EBK), Global Polynomial Interpolation (GPI), Inverse Distance Weighting (IDW), and Local Polynomial Interpolation (LPI), were used to create the spatial distribution of the groundwater electrical conductivity. The accuracy of interpolation methods was evaluated by using a cross-validation technique through the coefficient of determination (R2) and the Root Mean Square Error (RMSE). The results showed that IDW performed the most accurate prediction values and the best surface which were indicated by the least RMSE and the highest R2 value. It can be concluded that IDW interpolation method is the best method for interpolating the groundwater electrical conductivity associated with seawater intrusion in the coastal area of Banda Aceh.


Keywords


coastal area, comparison, electrical conductivity, groundwater, interpolation, seawater intrusion, spatial distribution

References


Liu, L. 2016. Saline water intrusion. Encyclopedia of Life Support Systems, Natural and Human Induced Hazards 2 1-7.

Afrianita, R.; Edwin, T.; Alawiyah, A. 2017. Analisis intrusi air laut dengan pengukuran Total Dissolved Solids (TDS) air sumur gali di Kecamatan Padang Utara. Jurnal Teknik Lingkungan UNAND 14 62 – 72.

Cahyadi, A.; Adji, T.N.; Marfai, M.A.; Noviandaru, S.; Agniy, R. F. 2017. Analisis dampak intrusi air laut terhadap air tanah di pulau Koral Pramuka. Majalah Geografi Indonesia 31 61-64.

Burrough, P.A.; Mc Donnel, R.A. 1998. Principles of geographical information systems. (New York: Oxford University Press).

Johnston, K.; VerHoef, J. M.; Krivoruchko, K.; Lucas, N. 2001. Using ArcGIS geostatistical analyst. (New York: United States of America).

Gunarathna, M. H. J. P.; Kumari, M. K. N.; Nirmanee, K. G. S. 2016. Evaluation of interpolation methods for mapping pH of groundwater. IJLTEMAS 5 1-5.

Wang, S.; Huang, G. H.; Lin, Q. G.; Li, Z.; Zhang, H.; Fan, Y. R. 2014. Comparison of interpolation methods for estimating spatial distribution of precipitation in Ontario, Canada. Int. J. Climatol. 34 3746-3750.

Sun, Y.; Kang, S.; Li, F.; Zhang, L. 2009. Comparison of interpolation methods for depth to groundwater and its temporal and spatial variations in the Minqin oasis of Northwest China. Environ. Modell. Softw. 10 1163-1170.

Murphy, R. R.; Curriero, F. C.; Ball, W. P.; ASCE, M. 2010. Comparison of spatial interpolation methods for water quality evaluation in the Chesapeake Bay. J. Environ. Eng. 136(2) 160-171.

Hussain, I.; Shakeel, M.; Faisal, M.; Soomro, Z.A.; Hussain, T. 2014. Distribution of total dissolved solids in drinking water by means of Bayesian Kriging and Gaussian spatial predictive process water quality. Water Qual. Expo. Health 6 177-185.

Mirzaei, R. and Sakizadeh, M. 2015. Comparison of interpolation methods for the estimation of groundwater contamination in Andimeshk Shush Plain Southwest of Iran. Environ. Sci. Pollut. Res. 23 2758-2769.

Sriyono; Qudus, N.; Setyowati, D. L. 2008. Model spasial ketersediaan air tanah dan intrusi air laut untuk penentuan zona konservasi air tanah. (Semarang: Universitas Negeri Semarang).

Purnomo, N. A.; Wahyudi; Suntoyo. (2013). Studi pengaruh air laut terhadap air tanah di wilayah pesisir Surabaya Timur. Jurnal Teknik POMITS 1 1 – 5.

Nagelkerke, N. J. D. 1991. A note on a general definition of the coefficient of determination. Biometrika 78 691-692.

Bhunia, G.S.; Shit, P.K.; Maiti, R. 2015. Comparison of GIS-based interpolation methodsfor spatial distribution of soil organic carbon (SOC). J. Saudi Soc. Agri. Sci. 17 114-123.

Adhikary, P.P. and Dash, C.J. 2017. Comparison of deterministic and stochastic methods to predict spatial variation of groundwater depth. Appl. Water Sci. 7 339-348.

Fadel, M.; Tomaszkiewicz, M.; Adra, Y.; Sadek, S.; Najm, M. A. (2014). GIS-based assessment for the development of a groundwater quality index towards sustainable aquifer management. Water Resour. Manag. 10 2-9.

Gnanachandrasamy, G.; Ramkumar, T.; Venkatramanan, S.; Vasudevan, S.; Chung, S. Y.; Bagyaraj, M. 2015. Accessing groundwater quality in lower part of Nagapattinam district, Southern India: using hydrogeochemistry and GIS interpolation techniques. Appl. Water Sci. 5 39 -55.


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DOI: 10.24815/jn.v20i2.16440

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