Journal of the Korean Society of Environmental Restoration Technology (한국환경복원기술학회지)

The Korea Society of Environmental Restoration Technology (한국환경복원기술학회)
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Research on valuation of ecosystem services for water quality improvement using unmanned aerial vehicles -Focusing on Purchased land in Gwangdong-ri area, Gwangju city(Gyeonggi)-

무인항공기를 활용한 수질개선 생태계서비스 가치 평가 방안 연구 - 경기도 광주시 광동리 일원 매수토지를 중심으로 -

  • Mun, Dong-Choel (Han Gang Watershed Management Committee) ;
  • Kil, Sung-Ho (Dept. of Ecological Landscape Architecture Design, Kangwon National University)
  • 문동철 (한강수계관리위원회) ;
  • 길승호 (강원대학교 생태조경디자인학과)
  • Received : 2023.02.18
  • Accepted : 2024.02.05
  • Published : 2024.02.29
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Abstract

The riparian area plays a crucial role in maintaining the balance between the aquatic and terrestrial ecosystems. The Korean government has recognized the importance of protecting riparian areas and has taken steps to purchase land and create ecobelt to reduce non-point source pollutants(NSPs) that can negatively impact water quality. However, selecting the catchment area and calculating the pollution load can be challenging due to the small area of the purchased land and the limitations of low-resolution DEMs. To address these challenges, this study proposes the use of unmanned aerial vehicles(UAVs) to create a high-resolution DEM and calculate the pollution load through land cover analysis. This approach can provide a more accurate representation of the land use status and help to identify areas that are contributing to NSPs. The quantitative comparison of the difference in water quality improvement ecosystem services according to the scenarios of additional catchment areas shows that even land purchased for the same amount of money may have different ecosystem service values, and this was quantitatively calculated. This can be used to prioritize future land acquisition. Overall, this study's approach could provide valuable insights into the effectiveness of ecobelt in reducing NSPs and inform future efforts to protect riparian areas in Korea and beyond.

Keywords

Acknowledgement

본 연구는 한강수계관리위원회에서 제공하는 자료를 활용하여 수행하였으며 이에 감사드립니다.

References

  1. Ahn S. E., W. Y. Joo, Y. J. Shin, J. Jang, H. S. Kwon, C. K. Kim, H. N. Kim, A. R. Seol, H. L. Lee, W. I. Choi, and H. Y. Heo, (2020) Development of Korea national ecosystem assessment framework to support decision making. Journal of environmental policy and administration. 28(2): 101-129.
  2. Ahmed, R. and Mahmud, K. H., 2022. Potentiality of high-resolution topographic survey using unmanned aerial vehicle in Bangladesh. Remote Sensing Applications: Society and Environment. 26: 100729.
  3. Alidoost, F. and Arefi, H., 2017. COMPARISON OF UAS-BASED PHOTOGRAMMETRY SOFTWARE FOR 3D POINT CLOUD GENERATION: A SURVEY OVER A HISTORICAL SITE. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. IV-4/W4: 55-61. https://doi.org/10.5194/isprs-annals-IV-4-W4-55-2017
  4. Alphonse, A. B., T. Wawrzyniak, M. Osuch, N. Hanselmann. 2023. Applying UAV-Based Remote Sensing Observation Products in High Arctic Catchments in SW Spitsbergen. Remote Sensing. 15(4): 934.
  5. Cole, L. J., J. Stockan, and R. Helliwell, 2020. Managing Riparian Buffer Strips to Optimise Ecosystem Services: A Review. Agriculture, Ecosystems & Environment. 296: 106891.
  6. EPA, 2019. Guidelines for Application of Non-Point Pollution Reduction Techniques in Han River Water System
  7. Fitzgibbon, A. and Zisserman, A., 1998. Automatic 3D model acquisition and generation of new images from video sequences. 9th European Signal Processing Conference (EUSIPCO 1998), Rhodes, Greece. 1-8.
  8. Grau, J., K. Liang, J. Ogilvie, P. Arp, S. Li, B. Robertson and F.-R. Meng, 2021. Improved Accuracy of Riparian Zone Mapping Using Near Ground Unmanned Aerial Vehicle and Photogrammetry Method. Remote Sense. 13(10): 1997.
  9. Hanna, D.E.L., C. Raudsepp-Hearne, and E. M. Bennett., 2020. Effects of land use, cover, and protection on stream and riparian ecosystem services and biodiversity. 34(1): 244-255. https://doi.org/10.1111/cobi.13348
  10. Im, J. Y., C. W. Kang, K. S. Gil, 2021. Applicability on Wet-land for Management of NPS in Organic Matter and Nutrients from Agriculture and Livestock Farm Area . Journal of Wetlands Researh, 23(4): 372-380.
  11. Jeon, J. C., J. Y. Jung, Y. S. Kim and L. H. Kim, 2018. A Review of Research Trend Related to NPS and Suggestion for Research Direction in the Future. Journal of Wetlands Research. 20(1): 80-93
  12. Jo, H. K. and T. W. Ahn, 2014. Application of natural forest structures to riparian greenways, Paddy Water Environ. 12(1): 99-111. https://doi.org/10.1007/s10333-014-0431-5
  13. Jung, P. M., J. I․ Kim, I. A. Yeo, W. Y. Joo, and K. E. Lee,(2021) The selection of measurement Indicators by spatial levels for ecosystem services sssessmen. J. Korean Env. Res. Tech. 24(6): 67-68.
  14. Kim J. S., 2018. Calculating Erosion Amount of Sea-cliff in Dundu-ri by Using UAV. Jorunal of Photo Geography. 28(2): 1-12. https://doi.org/10.35149/jakpg.2018.28.2.001
  15. Kim, D. P., K. S. Back and S. B. Kim, 2021. Production and Accuracy Analysis of Topographic Status Map Using Drone Images. Journal of the Korean Geo-Environmental Society. 22(2): 35-39.
  16. Kim, J., Y. H. Song, W. K. LEE, 2021. Accuracy analysis of Multi-series Phenological Land-cover Classification Using U-Net-based Deep Learning Model, Focusing on the Seoul, Republic of Korea. Korean Journal of Remote Sensing. 37(3): 409-418.
  17. Kim, G. W., 2023. Research on Trend Analysis of Ecosystem Water Quality Regulating Services in National Park. J. Environ. Impact Assess. 32(2): 72~82.
  18. Kim, K. L. and Ryu, J. H., 2020. Generation of Large-scale Map of Surface Sedimentary Facies in Intertidal Zone by Using UAV Data and Object-based Image Analysis (OBIA). Special Issue on Coastal Remote Sensing. 36(2): 277-292.
  19. Kim, N. K., M. S. Park, M. J. Jeong, D. H. Hwang, H. J. Yoon, 2021, A Study on Field Compost Detection by Using Unmanned Aerial Vehicle Image and Semantic Segmentation Technique based Deep Learning. Korean Journal of Remote Sensing. 37(3): 367-378.
  20. Kim, T. W., H. S. Yoo, S. I. Park, J. H. Kim, 2022. Slope Stability in Logging Areas Using Unmanned Aerial Vehicle Imaging. Journal of the Korean Geotechnical Society. 38(7): 39-47. https://doi.org/10.7843/KGS.2022.38.7.39
  21. Kwon, H. G., K. H. Kim, S. M. Na, H. J. Yoon, D. S. Shin, T. H. Im, 2016. Analysis of Nonpoint Source Pollutant Load according to the Land Cover Classification System. Journal of The Korean Society of Hazard Mitigation. 16(6): 411-419. https://doi.org/10.9798/KOSHAM.2016.16.6.411
  22. Kwon, H. G., T. H. Im, D. S. Shin, C. S. Lee, 2018. Analysis of Nonpoint Source Pollution and Calculation of Load Per Unit Area in Transportation Area in Nakdong River Basin. J. Korean Soc. Hazard Mitig. 18(3): 351-362. https://doi.org/10.9798/KOSHAM.2018.18.3.351
  23. Lee, C. H., Y. B. Seong, J. Weber, G. Yadamsuren. 2021. UAV-derived DEM Reveals the Original Geometric Dimension of TabunKhara Impact Crater in Mongolia. Journal of the Korean Geographical Society. 56(6): 705-716.
  24. Lee, D. H., S. H. Kil, S. B. Lee, 2021. A Study on Obtaining Tree Data from Green Spaces in Parks Using Unmanned Aerial Vehicle Images: Focusing on Mureung Park in Chuncheon. Journal of People, Plants, and Environment. 24(4): 441-450. https://doi.org/10.11628/ksppe.2021.24.4.441
  25. Lee, D. S., K. B. Lim, S. E. Hong, 2022. CNN(Convolutional Neural Network), Land Use Status, Image-based Land Use Status Survey, Automation of survey, Reclassification of survey items system. Journal of the Korean Society of Cadastre. 38(1): 1-15.
  26. Lee, J. P., 2021. Quality Assessment of Digital Surface Model Vertical Position Accuracies by Ground Control Point Location. Journal of Cadastre & Land InformatiX. 51(1): 125-136.
  27. Lee, S. H., J. M. Kim, H. S. Shin, S. C. Kwon, 2019. Evaluation of Riparian Buffer for the Reduction Efficiency of Non-point Sources Using HSPF Model. Journal of The Korean Society of Hazard Mitigation. 19(1): 341-349. https://doi.org/10.9798/KOSHAM.2019.19.1.341
  28. Li, X., X. Yu, K. Wu, Z. Feng, Y. Liu and X. Li, 2021. Land-use zoning management to protecting the Regional Key Ecosystem Services: A case study in the city belt along the Chaobai River, China, Science of The Total Environment. 762: 143167.
  29. Libran-Embid, F. F. Klaus, T. Tscharntke, I. Grass, 2020. Unmanned aerial vehicles for biodiversity-friendly agricultural landscapes - A systematic review. Science of The Total Environment. 732: 139204
  30. Lowe, D. G., 1999. Object recognition from local scale-invariant features. Proceedings of the Seventh IEEE International Conference on Computer Vision, Kerkyra, Greece. 2: 1150-1157.
  31. Meinen, B. U. and D. T. Robinson, 2020. Streambank topography: an accuracy assessment of UAV-based and traditional 3D reconstructions, International Journal of Remote Sensing. 41(1): 1-18. https://doi.org/10.1080/01431161.2019.1597294
  32. ME and HGWMC. 2018. The 3rd Management plan('18~'23) of Hna-gang riparian basin. Research report to Hangang watrershed management committee.
  33. ME and HGWMC. 2024. The 4rd Management plan('24~'28) of Hna-gang riparian basin. Hangang watrershed management committee.
  34. ME, MOLIT, MAFRA, MOTIE, KFS, RDA, 2020. A Comprehensive Plan for Rainfall Non-Point Pollution Source Management.
  35. Ministry of Environment. 2022. Basic Policy for the Management of Pollutant Loading Allocation.
  36. NIER, 2019. Technical Guidelines for Total Water Pollution Load Management System.
  37. Oh, S. H. and Kim, M. Jo., 2021. Applicability Review of Street Dimensional Data Survey Using Point Clouds Generated from Drone Photogrammetry. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 39(6) 401-408.
  38. Park, J. H., and Lee, W. H., 2016. Orthophoto and DEM Generation in Small Slope Areas Using Low Specification UAV. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 34(3): 283-290. https://doi.org/10.7848/ksgpc.2016.34.3.283
  39. Park, J. H., J. C. Ryu, D. S. Shin, J. K. Lee, 2019. The Effective Approach for Non-Point Source Management. Journal of Wetlands Research, 21(2): 140-146. https://doi.org/10.17663/JWR.2019.21.2.140
  40. Park, J. K. and Um, D. Y., 2019. Evaluation of Accuracy and Utilization of the Drone Photogrammetry for Open-Pit Mine Monitoring. Journal of Digital Convergence. 17(12): 191-96. https://doi.org/10.14400/JDC.2019.17.12.191
  41. Park, K. O., and Lee, C. H. 2016. Land Generated Waste Load Unit Estimation Based on Land Use Map with LP Optimization. Journal of Wetlands Researh. 18(3) 226-231. https://doi.org/10.17663/JWR.2016.18.3.226
  42. Park, Y. G., K. H. Kim and J. H. Yoo, 2017. GIS Based Development of Module and Algorithm for Automatic Catchment Delineation Using Korean Reach File. Journal of the Korean Association of Geographic Information Studies. 20(4): 126-38.
  43. Park, Y. S., C. K. Kim and W. S. Lee, 2021. A study of useability of ecosystem service assessment on strategic environmental assessment. J. Korean Env. Res.Tech. 24(2): 115-126.
  44. Song, W. K., 2019. Application of UAV for Vegetation Monitoring in Urban Green Space. Journal of the Korea Society of Environmental Restoration Technology. 22(1): 61-72.
  45. Thompson, J.A., J.C. Bell, C.A. Butler, 2001. Digital elevation model resolution: Effects on terrain attribute calculation and quantitative soil-landscape modeling. Geoderma, 100, 67-89. https://doi.org/10.1016/S0016-7061(00)00081-1
  46. Xu, Z., X. Shen, L. Cao, N. C. Coops, T. R.H. Goodbody, T. Zhong, W. Zhao, Q. Sun, S. Ba, Z. Zhang, X. Wu, 2020. Tree species classification using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in subtropical natural forests. International Journal of Applied Earth Observation and Geoinformation. 92: 102173.
  47. Yi, H. C. 2022, Ecosystem Services Valuation and Research Methodology for Mapping Ecosystem Services: Concepts, Trends, Issues, and Applications. Journal of the Korean Geographical Society, 57(2): 189-208.
  48. Yu, J. E., Y. J. Kim, H. C. Sung, K. I. Lee, J. Y. Choi and S. W. Jeon, 2020. Method for Calculating the Pollution Load Amount of Agricultural Non-Point Sources Using Land Cover Map. Journal of Environmental Science International. 29(12): 1249-1260. https://doi.org/10.5322/JESI.2020.29.12.1249