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Spatial Trends and Temporal Variation Using Geographic Information Systems (GIS) in Talomo River, Davao City, Philippines


Authors : John Camilo E. Naraval; Carl Dave Duyan; Dr. Joel S. Pardillo

Volume/Issue : Volume 11 - 2026, Issue 4 - April


Google Scholar : https://tinyurl.com/2taz2m4j

Scribd : https://tinyurl.com/3t653czk

DOI : https://doi.org/10.38124/ijisrt/26apr2163

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This study analyzes the spatial trends and temporal variability of water quality in the Talomo River Watershed, Davao City, Philippines, using Geographic Information Systems (GIS). A descriptive-quantitative approach was applied to evaluate key parameters across 14 monitoring stations from 2019-2024, including Biochemical Oxygen Demand (BOD), Dissolved Oxygen (DO), fecal coliform, Total Suspended Solids (TSS), nitrate, phosphate, pH, temperature, color, and chloride. Results show that average BOD levels reached up to 9.02 mg/L (Station 7), exceeding the standard of 5 mg/L, while DO ranged from 6.31–8.37 mg/L, remaining above the minimum threshold. Fecal coliform concentrations were critically high across all stations, with values reaching 158,675.91 MPN/100 mL, far beyond the allowable 100 MPN/100 mL. TSS values peaked at 155.98 mg/L, exceeding the 65 mg/L limit in several upstream stations. Nitrate concentration reached 13.58 mg/L at Station 1, surpassing the 7 mg/L standard, while chloride peaked at 2,427.11 mg/L, indicating localized contamination. In contrast, pH (7.80–8.30), phosphate (0.06–0.27 mg/L), temperature (23.48–28.54°C), and color remained within permissible limits. Spatial analysis using IDW revealed pollution hotspots in upstream and midstream sections. The findings emphasize the need for targeted watershed management and improved wastewater control strategies.

Keywords : GIS, Inverse Distance Weighting (IDW), Water Quality, Talomo River Watershed, Philippines.

References :

  1. Aguilar-Torrejón, J. A., Balderas-Hernández, P., Roa-Morales, G., Barrera-Díaz, C. E., Rodríguez-Torres, I., & Torres-Blancas, T. (2023). Relationship, importance, and development of analytical techniques: COD, BOD, and TOC in water—An overview through time. SN Applied Sciences, 5, Article 118. https://doi.org/10.1007/s42452-023-05318-7
  2. Department of Environment and Natural Resources. (2016). DAO 2016-08: Water Quality Guidelines and General Effluent Standards of 2016. DENR, Philippines.
  3. Dumdum, R. C., Jamero, S. B., Suelto, M. C., Paragamac, J. B. R., & Gorgonio, C. T. (2024). Spatio-temporal analysis of land cover change: The case of Talomo-Lipadas Watershed, Davao City. University of Mindanao International Multidisciplinary Research Journal, 9(1), 1–16. https://doi.org/10.55990/umimrj.v9i12024.1
  4. Galera, A. F., David, C. P. C., & Cuvin-Aralar, M. L. A. (2018). Water quality assessment of the Meycauayan–Marilao River system. Environmental Monitoring and Assessment, 190(10), 1–15. https://doi.org/10.1007/s10661-018-7005-6
  5. Hoang, T. T., Muhoza, C., Onyango, J. A., & Van Dijk, M. P. (2025). The spatiotemporal distribution of water quality characteristics of the tropical, transboundary Sio-Malaba-Malakisi River Basin using multivariate statistical techniques. Environmental Monitoring and Assessment, 197(3), 245–260. https://doi.org/10.1007/s10661-025-14282-1
  6. Kaushal, S. S., Likens, G. E., Pace, M. L., Utz, R. M., Haq, S., Gorman, J., & Grese, M. (2018). Freshwater salinization syndrome: Expanding the scope of the salinization gradient in freshwater ecosystems. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1764), 20180087. https://doi.org/10.1098/rstb.2018.0087
  7. Khan, R., Sharma, S., & Dutta, V. (2021). Assessment of physicochemical parameters and water quality of freshwater ecosystems: A review. Environmental Science and Pollution Research, 28(20), 25345–25364. https://doi.org/10.1007/s11356-021-13211-5
  8. Liu, Z., Zhang, Z., Zhou, C., Ming, W., & Du, Z. (2021). An adaptive inverse-distance weighting interpolation method considering spatial differentiation in 3D geological modeling. Geosciences, 11(2), 51. https://doi.org/10.3390/geosciences11020051
  9. Md Anawar, H., & Chowdhury, R. (2020). Remediation of polluted river water by biological, chemical, ecological, and engineering processes. Sustainability, 12(17), 7017. https://doi.org/10.3390/su12177017
  10. Rahman, H., Ferdouse, J., Ullah, A. K. M. A., & Hossain, M. T. (2022). Water quality assessment and identification of novel bacterial strains in the Halda River water of Bangladesh. Environmental Health Insights, 16, 1–13. https://doi.org/10.1177/11786302221135164
  11. Rivera, J. C., Cruz, R. P., & Villanueva, M. S. (2022). Spatio-temporal assessment of manganese contamination in relation to river morphology: Marinduque, Philippines. Sustainability, 15(10), 8276. https://doi.org/10.3390/su15108276
  12. Said, A., Ahmed, M., & Rahman, T. (2022). Phosphate dynamics in freshwater ecosystems. Journal of Environmental Water Quality, 11(2), 45–58.
  13. Sharma, S., Singh, P., & Sharma, R. (2021). Assessment of surface water quality using physico-chemical parameters: A case study of River Ganges, India. Environmental Nanotechnology, Monitoring & Management, 16, 100530. https://doi.org/10.1016/j.enmm.2021.100530

This study analyzes the spatial trends and temporal variability of water quality in the Talomo River Watershed, Davao City, Philippines, using Geographic Information Systems (GIS). A descriptive-quantitative approach was applied to evaluate key parameters across 14 monitoring stations from 2019-2024, including Biochemical Oxygen Demand (BOD), Dissolved Oxygen (DO), fecal coliform, Total Suspended Solids (TSS), nitrate, phosphate, pH, temperature, color, and chloride. Results show that average BOD levels reached up to 9.02 mg/L (Station 7), exceeding the standard of 5 mg/L, while DO ranged from 6.31–8.37 mg/L, remaining above the minimum threshold. Fecal coliform concentrations were critically high across all stations, with values reaching 158,675.91 MPN/100 mL, far beyond the allowable 100 MPN/100 mL. TSS values peaked at 155.98 mg/L, exceeding the 65 mg/L limit in several upstream stations. Nitrate concentration reached 13.58 mg/L at Station 1, surpassing the 7 mg/L standard, while chloride peaked at 2,427.11 mg/L, indicating localized contamination. In contrast, pH (7.80–8.30), phosphate (0.06–0.27 mg/L), temperature (23.48–28.54°C), and color remained within permissible limits. Spatial analysis using IDW revealed pollution hotspots in upstream and midstream sections. The findings emphasize the need for targeted watershed management and improved wastewater control strategies.

Keywords : GIS, Inverse Distance Weighting (IDW), Water Quality, Talomo River Watershed, Philippines.

Paper Submission Last Date
31 - May - 2026

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