EVALUATING THE ACCURACY OF THE REGULARIZED AND TENSION SPLINE INTERPOLATION METHODS TO ESTIMATE AND MAP THE CONCENTRATION OF NITRATE ON THE SURFACE WATER OF PULAU TUBA, LANGKAWI, KEDAH
Keywords:
Interpolation, Nitrate, Regularized, Spline, TensionAbstract
This study aims to evaluate the efficiency of the regularized and tension spline interpolation methods to predict and map nitrate concentration on the surface water of Pulau Tuba, Langkawi. Kedah. Sampling activities were carried out using the Niskin Water Sampler and immediately brought into the lab to determine the nitrate level using an Ultraviolet Visible spectrophotometer and the cadmium reduction method. The geolocations of sampling points were recorded using the Geographic Positioning System (GPS). The training set (50%) and the testing set (50%) were chosen randomly based on 20 sampling points. Two types of spline interpolation methods were compared: the regularized and tension spline interpolation methods. Evaluation of prediction of models was carried out using the correlation analyses, linear regression analysis and error analyses when comparing the actual and prediction values. Determination of the map accuracy was carried out after inserting map elements. The study found that the tension spline method had a better prediction of nitrate concentration. The accuracy of the map was found to be at 90%. The study's outcome can be used as guidelines by concerned parties to monitor, manage, and develop strategic policies for the sustainable development of the coastal water of Pulau Tuba, Langkawi, Kedah.
References
Alam, M. S., Han, B., Gregg, A., & Pichtel, J. (2020). Nitrate and biochemical oxygen demand change in a typical Midwest stream in the past two decades. H2Open Journal, 3(1), 519-537. https://doi.org/10.2166/h2oj.2020.054
APHA. (1999). 4500-NO3-E cadmium reduction method. Standard Methods for the Examination of Water and Wastewater. 20th Edition, American Public Health Association, (20th ed., pp. 1203-1206). Washington DC: American Water Works Association and Water Environmental Federation.
Balazs, C., Morello-Frosch, R., Hubbard, A., & Ray, I. (2011). Social disparities in nitrate-contaminated drinking water in California’s San Joaquin Valley. Environmental Health Perspectives, 119(9), 1272-1278. https://doi.org/10.1289/ehp.1002878
Bashir, I., Lone, F. A., Bhat, R. A., Mir, S. A., Dar, Z. A., & Dar, S. A. (2020). Concerns and threats of contamination on aquatic ecosystems. Bioremediation and Biotechnology, 1-26. https://doi.org/10.1007/978-3-030-35691-0_1
Bauza, J., Morell, J., & Corredor, J. (2002). Biogeochemistry of nitrous oxide production in the red mangrove (Rhizophora Mangle) forest sediments. Estuarine, Coastal and Shelf Science, 55(5), 697-704. https://doi.org/10.1006/ecss.2001.0913
Bezyk, Y., Sówka, I., Górka, M., & Blachowski, J. (2021). GIS-based approach to spatio-temporal interpolation of atmospheric CO2 concentrations in limited monitoring dataset. Atmosphere, 12(3), 384. https://doi.org/10.3390/atmos12030384
Cano-Rocabayera, O., De Sostoa, A., Padrós, F., Cárdenas, L., & Maceda-Veiga, A. (2019). Ecologically relevant biomarkers reveal that chronic effects of nitrate depend on sex and life stage in the invasive fish Gambusia holbrooki. PLOS ONE, 14(1), e0211389. https://doi.org/10.1371/journal.pone.0211389
Chai, T., & Draxler, R. R. (2014). Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature. Geoscientific Model Development, 7(3), 1247-1250. https://doi.org/10.5194/gmd-7-1247-2014
Chen, C., Twycross, J., & Garibaldi, J. M. (2017). A new accuracy measure based on bounded relative error for time series forecasting. PLOS ONE, 12(3), e0174202. https://doi.org/10.1371/journal.pone.0174202
Deng, H., He, J., Feng, D., Zhao, Y., Sun, W., Yu, H., & Ge, C. (2021). Microplastics pollution in mangrove ecosystems: A critical review of current knowledge and future directions. Science of The Total Environment, 753, 142041. https://doi.org/10.1016/j.scitotenv.2020.142041
Ehrnsten, E., Sun, X., Humborg, C., Norkko, A., Savchuk, O. P., Slomp, C. P., Timmermann, K., & Gustafsson, B. G. (2020). Understanding environmental changes in temperate coastal seas: Linking models of benthic fauna to carbon and nutrient fluxes. Frontiers in Marine Science, 7. https://doi.org/10.3389/fmars.2020.00450
Elshout, P. M., Dionisio Pires, L. M., Leuven, R. S., Wendelaar Bonga, S. E., & Hendriks, A. J. (2013). Low oxygen tolerance of different life stages of temperate freshwater fish species. Journal of Fish Biology, 83(1), 190-206. https://doi.org/10.1111/jfb.12167
Fernandes, S. O., & Loka Bharathi, P. A. (2010). Nitrate levels modulate denitrification activity in tropical mangrove sediments (Goa, India). Environmental Monitoring and Assessment, 173(1-4), 117-125. https://doi.org/10.1007/s10661-010-1375-x
Ferronato, N., & Torretta, V. (2019). Waste mismanagement in developing countries: A review of global issues. International Journal of Environmental Research and Public Health, 16(6), 1060. https://doi.org/10.3390/ijerph16061060
Henley, S. F., Porter, M., Hobbs, L., Braun, J., Guillaume-Castel, R., Venables, E. J., Dumont, E., & Cottier, F. (2020). Nitrate supply and uptake in the Atlantic Arctic Sea ice zone: Seasonal cycle, mechanisms and drivers. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2181), 20190361. https://doi.org/10.1098/rsta.2019.0361
Kamaruddin, S. A., Zainolabdin, S. N., Abd.Aziz, K. N., & Roslani, M. A. (2019). Comparative Study of Regularized and Tension Spline Interpolation Method to Map Surface-Water Salinity of Pulau Tuba, Langkawi, Kedah. Multidisciplinary Informatics Journal, 2(1), 91-97. https://drive.google.com/file/d/1_qkJEiQql_Fh9KMOWZeeqoHgFrKQOPJC/view
Kamaruddin, S. A., Abd. Aziz, K. N., Roslani, M. A., & Zainol, Z. E. (2021a). Sustainable management of the coastal water pH of pulau tuba using the inverse distance weighted (IDW) method. Jurnal Intelek, 16(2), 162-174. https://doi.org/10.24191/ji.v16i2.428
Kamaruddin, S. A., Zainolabdin, S. N., Abd.Aziz, K. N., Roslani, M. A., Zohir, N. S., & Al-Bakri, N. Y. (2020a). A comparative study of the accuracy of regularized and tension spline interpolation methods to map the surface water temperature of pulau tuba, Langkawi, Kedah. Charting the Sustainable Future of ASEAN in Science and Technology, 285-295. https://doi.org/10.1007/978-981-15-3434-8_25
Kamaruddin, S., Abd Aziz, K., Roslani, M., Tajam, J., Zaınolabdın, S., & Mohd Razman, N. (2018). Mapping of salinity level using spline interpolation techniques over the water of sungai merbok, kedah. Malaysian Journal Of Sustainable Environment, 5(2), 114-130. doi:10.24191/myse.v5i2.5620
Kamaruddin, S., Abd.Aziz, K., Roslani, A., Zainol, Z., Ahmad, A., Shaari, M., Nazri, R., & Tajam, J. (2022). The Mapping of Salinity Level Using The Inverse Distance Weighted (Idw) Interpolation Method Along The Coastal Area of Pulau Tuba, Langkawi. Malaysian Journal Of Sustainable Environment, 9(1), 55-76. doi:10.24191/myse.v9i1.17292
Kamaruddin, S., Rusli, H., Abd.Aziz, K., & Roslani, M. (2020b). Characteristics and distribution of microplastics in surface sediment of selat pulau tuba, langkawi, kedah. Malaysian Journal Of Sustainable Environment, 7(2), 133-154. doi:10.24191/myse.v7i2.10269
Kamaruddin, S. A., Ahmad Nasir, N. A., Rahim, N. S., Shuhaime, N., Hashim, M. A., Khazali, A. S., Abd. Aziz, K. N., & Roslani, M. A. (2021b). A comparative accuracy of regularized and tension spline methods to estimate and model the surface water pH of pulau tuba, Langkawi, Kedah. Science Letters, 15(2), 116-134. https://doi.org/10.24191/sl.v15i2.13834
Keller, R. M., Beaver, L., Prater, M. C., & Hord, N. G. (2017). Dietary nitrate and nitrite concentrations in food patterns and dietary supplements. Nutrition Today, 55(5), 218-226. https://doi.org/10.1097/nt.0000000000000253
Liu, Q. G., Diao, Z. G., & Sun, J. Y. (2010). Assessment and mechanisms of water eutrophication in Chaohu lake, China. Advanced Materials Research, 113-116, 1433-1438. https://doi.org/10.4028/www.scientific.net/amr.113-116.1433
McIsaac, G. (2020). Surface water: Nitrogen fertilizer pollution. Fresh Water and Watersheds, 197-203. https://doi.org/10.1201/9780429441042-28
Molnar, N., Welsh, D. T., Marchand, C., Deborde, J., & Meziane, T. (2013). Impacts of shrimp farm effluent on water quality, benthic metabolism and N-dynamics in a mangrove forest (New Caledonia). Estuarine, Coastal and Shelf Science, 117, 12-21. https://doi.org/10.1016/j.ecss.2012.07.012
Nedwell, D. (1975). Inorganic nitrogen metabolism in a eutrophicated tropical mangrove Estuary. Water Research, 9(2), 221-231. https://doi.org/10.1016/0043-1354(75)90012-3
Njeban, H. S. (2018). Comparison and evaluation of GIS-based spatial interpolation methods for estimation groundwater level in AL-Salman district—Southwest Iraq. Journal of Geographic Information System, 10(04), 362-380. https://doi.org/10.4236/jgis.2018.104019
Ogryzek, M., Krypiak-Gregorczyk, A., & Wielgosz, P. (2020). Optimal Geostatistical methods for interpolation of the ionosphere: A case study on the St Patrick’s Day storm of 2015. Sensors, 20(10), 2840. https://doi.org/10.3390/s20102840
Suteja, Y., & Purwiyanto, A. I. (2018). Nitrate and phosphate from rivers as mitigation of eutrophication in Benoa Bay, Bali-Indonesia. IOP Conference Series: Earth and Environmental Science, 162, 012021. https://doi.org/10.1088/1755-1315/162/1/012021
Vitousek, P. M., Aber, J. D., Howarth, R. W., Likens, G. E., Matson, P. A., Schindler, D. W., Schlesinger, W. H., & Tilman, D. G. (1997). Human alteration of the global nitrogen cycle: Sources and consequences. Ecological Applications, 7(3), 737-750. https://doi.org/10.1890/1051-0761(1997)007[0737:haotgn]2.0.co;2
Wagner, T., & Erickson, L. E. (2017). Sustainable management of eutrophic lakes and reservoirs. Journal of Environmental Protection, 08(04), 436-463. https://doi.org/10.4236/jep.2017.84032
Yang, X., Wu, X., Hao, H., & He, Z. (2008). Mechanisms and assessment of water eutrophication. Journal of Zhejiang University SCIENCE B, 9(3), 197-209. https://doi.org/10.1631/jzus.b0710626
Yao, B., Cao, J., Zhao, C., & Rengel, Z. (2011). Influence of ammonium and nitrate supply on growth, nitrate reductase activity and N-use efficiency in a natural hybrid pine and its parents. Journal of Plant Ecology, 4(4), 275-282. https://doi.org/10.1093/jpe/rtq033
Yu, G., Wang, J., Liu, L., Li, Y., Zhang, Y., & Wang, S. (2020). The analysis of groundwater nitrate pollution and health risk assessment in rural areas of Yantai, China. BMC Public Health, 20(1). https://doi.org/10.1186/s12889-020-08583-y
Zhao, H., Yuan, M., Strokal, M., Wu, H. C., Liu, X., Murk, A., Kroeze, C., & Osinga, R. (2021). Impacts of nitrogen pollution on corals in the context of global climate change and potential strategies to conserve coral reefs. Science of The Total Environment, 774, 145017. https://doi.org/10.1016/j.scitotenv.2021.145017
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