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Development of real-time investigation technique for nonpoint pollution source distribution using programming interface

    Kwan Sik Min Affiliation
    ; Dong Ha Lee Affiliation
    ; Tri Dev Acharya Affiliation

Abstract

Currently both central and local governments that are aware of the importance of conserving rivers, are making continuous efforts to solve the problem of non-point pollution sources (NPS) flowing into rivers. This study established a reactive web service app with a mobile application, to accommodate the need for systematic and scientific investigation and management of NPS. The developed investigation and management techniques incorporate all the PC-based administrative features, thereby improving development efficiency. A prototype of mobile GIS platform for a survey, inspection, and input was proposed, in which data related to pollution source locations and attributes can be effectively collected, stored, updated, and adjusted. To demonstrate, we conducted a quantitative analysis of river pollution source using GPS and GIS to show further details of the framework, which provides geographic information required to develop management technique of NPS flowing into rivers and related parameters in the form of a map. Furthermore, based on the interpolated maps and various environmental factors, the prediction of NPS as well as other parameters can be done. The research will not only improve the efficiency of investigation and management of NPS but also contribute to establishing a management policy, which covers quick decision-making and reaction to inflow accidents.

Keyword : non-point pollution sources (NPS), reactive web service, geographic information (GI), mobile GIS, GPS, pollution source investigation and management technique

How to Cite
Min, K. S., Lee, D. H., & Acharya, T. D. (2019). Development of real-time investigation technique for nonpoint pollution source distribution using programming interface. Journal of Environmental Engineering and Landscape Management, 27(3), 126-134. https://doi.org/10.3846/jeelm.2019.9801
Published in Issue
Aug 26, 2019
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References

Chen, X., Zhou, W., Pickett, S. T. A., Li, W., & Han, L. (2016). Spatial-temporal variations of water quality and its relationship to land use and land cover in Beijing, China. International Journal of Environmental Research and Public Health, 13(5), 449. https://doi.org/10.3390/ijerph13050449

Chen, Y., Zhao, K., Wu, Y., Gao, S., Cao, W., Bo, Y., Shang, Z., Wu, J., & Zhou, F. (2016). Spatio-temporal patterns and source identification of water pollution in Lake Taihu (China). Water, 8(3), 86. https://doi.org/10.3390/w8030086

Cho, M., Jang, T., Jang, J. R., & Yoon, C. G. (2016). Development of agricultural non‐point source pollution reduction measures in Korea. Irrigation and Drainage, 65(S1), 94-101. https://doi.org/10.1002/ird.1993

Fonseca, A., Boaventura, R. A., & Vilar, V. J. (2018). Integrating water quality responses to best management practices in Portugal. Environmental Science and Pollution Research, 25(2), 1587-1596. https://doi.org/10.1007/s11356-017-0610-1

Hobbie, S. E., Finlay, J. C., Janke, B. D., Nidzgorski, D. A., Millet, D. B., & Baker, L. A. (2017). Contrasting nitrogen and phosphorus budgets in urban watersheds and implications for managing urban water pollution. Proceedings of the National Academy of Sciences, 114(16), 4177-4182. https://doi.org/10.1073/pnas.1618536114

Jung, Y., Yeo, K., Oh, J., Lee, S., Park, J., & Song, C. G. (2016). The economic effect of green roofs on non-point pollutant sources management using the replacement cost approach. KSCE Journal of Civil Engineering, 20(7), 3031-3044. https://doi.org/10.1007/s12205-016-0370-3

Lee, M., Park, G., Park, M., Park, J., Lee, J., & Kim, S. (2010). Evaluation of non-point source pollution reduction by applying best management practices using a SWAT model and QuickBird high resolution satellite imagery. Journal of Environmental Sciences, 22(6), 826-833 (in Korean). https://doi.org/10.1016/S1001-0742(09)60184-4

Lee, C., Kim, K., & Lee, H. (2018). GIS based optimal impervious surface map generation using various spatial data for urban nonpoint source management. Journal of Environmental Management, 206, 587-601. https://doi.org/10.1016/j.jenvman.2017.10.076

Liu, J., Shen, Z., Yan, T., & Yang, Y. (2018). Source identification and impact of landscape pattern on riverine nitrogen pollution in a typical urbanized watershed, Beijing, China. Science of the Total Environment, 628, 1296-1307. https://doi.org/10.1016/j.scitotenv.2018.02.161

Liu, G. D., Wu, W. L., & Zhang, J. (2005). Regional differentiation of non-point source pollution of agriculture-derived nitrate nitrogen in groundwater in northern China. Agriculture, Ecosystems & Environment, 107(2), 211-220. https://doi.org/10.1016/j.agee.2004.11.010

McGrane, S. J. (2016). Impacts of urbanisation on hydrological and water quality dynamics, and urban water management: a review. Hydrological Sciences Journal, 61(13), 2295-2311. https://doi.org/10.1080/02626667.2015.1128084

Min, K. S. (2014). A Study on the construction of pollution management system with influx the urban stream. Journal of Korea Spatial Information Society, 22(2), 45-52 (in Korean). https://doi.org/10.12672/ksis.2014.22.2.045

Ministry of Environment. (2007). Official testing method with respect to water pollution process (Ministry of Environment Notice No. 2007-147). Korea.

Ministry of Environment. (2006). Water environmental management master plan. Korea.

Mutch, J. (1998). The hydrologic cycle and water movement, Nitrate-agricultural sources and fate in the environmentperspectives and direction. In Proceedings of the workshop, Eastern Canada Soil and Water Conservation Centre, Charlottetown (pp. 3-7). Canada.

Ouyang, W., Gao, X., Wei, P., Gao, B., Lin, C., & Hao, F. (2017). A review of diffuse pollution modeling and associated implications for watershed management in China. Journal of Soils and Sediments, 17(6), 1527-1536. https://doi.org/10.1007/s11368-017-1688-2

Ramadas, M., & Samantaray, A. K. (2018). Applications of remote sensing and GIS in water quality monitoring and remediation: a state-of-the-art review. In S. Bhattacharya, A. B. Gupta, A. Gupta, & A. Pandey (Eds.), Water remediation (pp. 225-246). Singapore: Springer. https://doi.org/10.1007/978-981-10-7551-3_13

Shin, S. C., Kim, S. J., Chae, H. S., Kwon, G. R., & Lee, Y. A. (2002). Development of management system for a drainage basin using spatial information. Journal of the Korean Association of Geographic Information Studies, 5(3), 33-44 (in Korean).

Zamparas, M., & Zacharias, I. (2014). Restoration of eutrophic freshwater by managing internal nutrient loads. A review. Science of the Total Environment, 496, 551-562. https://doi.org/10.1016/j.scitotenv.2014.07.076