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

  • 제25권6호
  • /
  • Pages.51-64
  • /
  • 2022
  • /
  • 1229-3032(pISSN)
  • /
  • 2733-5011(eISSN)
한국환경복원기술학회 (The Korea Society of Environmental Restoration Technology)
권호 표지
DOI QR코드

DOI QR Code

InVEST 모형을 이용한 도시 생태계의 홍수 조절서비스 평가

Evaluation of Flood Regulation Service of Urban Ecosystem Using InVEST mode

  • 투고 : 2022.11.09
  • 심사 : 2022.12.08
  • 발행 : 2022.12.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Along with the urbanization, the risk of urban flooding due to climate change is increasing. Flood regulation, one of the ecosystem services, is implemented in the different level of function of flood risk mitigation by the type of ecosystem such as forests, arable land, wetlands etc. Land use changes due to development pressures have become an important factor in increasing the vulnerability by flash flood. This study has conducted evaluating the urban flood regulation service using InVEST UFRM(Urban Flood Risk Model). As a result of the simulation, the potential water retention by ecosystem type in the event of a flash flood according to RCP 4.5(10 year frequency) scenario was 1,569,611 tons in urbanized/dried areas, 907,706 tons in agricultural areas, 1,496,105 tons in forested areas, 831,705 tons in grasslands, 1,021,742 tons in wetlands, and 206,709 tons in bare areas, the water bodies was estimated to be 38,087 tons. In the case of more severe 100-year rainfall, 1,808,376 tons in urbanized/dried areas, 1,172,505 tons in agricultural areas, 2,076,019 tons in forests, 1,021,742 tons in grasslands, 47,603 tons in wetlands, 238,363 tons in bare lands, and 52,985 tons in water bodies. The potential economic damage from flood runoff(100 years frequency) is 122,512,524 thousand won in residential areas, 512,382,410 thousand won in commercial areas, 50,414,646 thousand won in industrial areas, 2,927,508 thousand won in Infrastructure(road), 8,907 thousand won in agriculture, Total of assuming a runoff of 50 mm(100 year frequency) was estimated at 688,245,997 thousand won. In a conclusion. these results provided an overview of ecosystem functions and services in terms of flood control, and indirectly demonstrated the possibility of using the model as a tool for policy decision-making. Nevertheless, in future research, related issues such as application of models according to various spatial scales, verification of difference in result values due to differences in spatial resolution, improvement of CN(Curved Number) suitable for the research site conditions based on actual data, and development of flood damage factors suitable for domestic condition for the calculation of economic loss.

키워드

과제정보

본 연구는 국립생태원 2022년 지역의 생태가치 및 인식 증진방안 연구(NIE-고육연구-2022-07)와 핵심 생태자산 과 생태계서비스 가치평가 및 보전방안 연구(NIE-전략연구-2022-03)의 지원을 받아 수행되었으며 일부 내용을 발췌 및 요약 정리하였습니다.

참고문헌

  1. Agilan V.Umamahesh NV. 2017. Modeling nonlinear for developing non-stationany rainfall intensity-duration-frequency curve. International journal of climatology. Int. J. Climatol 37: 1265-1281. https://doi.org/10.1002/joc.4774
  2. Bisht DS.Chatterjee C and Kalakoti S. 2016. Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study. Nat Hazards 84: 749-776. https://doi.org/10.1007/s11069-016-2455-1
  3. Bulti DT․Abebe BG. 2020. A review of flood modeling methods for urban pluvial flood application. Model Earth Syst Environ 6: 1293-1302. https://doi.org/10.1007/s40808-020-00803-z
  4. Burian S and Edwards F. 2002. Historical Perspectives of Urban Drainage. Global Solutions for Urban Drainage. 10.1061/40644(2002)284.
  5. Chin A. 2006. Urban transformation of river landscapes in a global context. Geomorphology 79(3-4): 460-487. https://doi.org/10.1016/j.geomorph.2006.06.033
  6. Carlotta Q.Elena C.Alessandro P. 2021. Experimental Flash Floods Assessment Through Urban Flood Risk Mitigation (UFRM) Model: The Case Study of Ligurian Coastal Cities. Frontiers in Water (3).
  7. Choi JY and Lee SD. 2018. Evaluation of Ecosystem Service for Distribution of Korean fir using InVEST Model. J. Environ. Impact Assess 27(2): 181~193. (In Korean with English Summary) https://doi.org/10.14249/EIA.2018.27.2.181
  8. de Groot RS․Wilson MA and Boumans RMJ. 2002. A typology for the classification, description and valuation of ecosystem functions, goods and services. Ecological Economics 41(3): 393-408. https://doi.org/10.1016/S0921-8009(02)00089-7
  9. Eigenbrod F.Bell VA.Davies HN, Heinemeyer A.Armsworth PR and Gaston KJ. 2011. The impact of projected increases in urbanization on ecosystem services. Proc Biol Sci. 7: 278(1722).
  10. Endreny TA and Imbeah N. 2009. Generating robust rainfall intensity-duration-frequency estimates with short-record satellite data. J. Hydrol.371: 182-191. https://doi.org/10.1016/j.jhydrol.2009.03.027
  11. Frei C․Schol R․Fukutome S․Schmidli J and Vidale PL. 2006. Future change of precipitation extremes in Europe: Intercomparison of scenarios from regional climate models. Journal of Geophysical Research. 111.
  12. Hanna DEL.Tomscha SA.Ouel et Dallaire C and Bennett EM. 2018. A review of riverine ecosystem service quantification: Research gaps and recommendations. Edited by Danny Hooftman. Journal of Applied Ecology 55: 1299-1311. https://doi.org/10.1111/1365-2664.13045
  13. JRC TECHNICAL REPORTS. 2017. Global flood depth-damage functions Methodlogy and the database with guidelines.
  14. Jung KH.Jung SJ.Son YK and Hong SY 2007. Classification of Hydrologic Soil Group of Korean Soils. Rural Development Administration(RDA). (In Korean with English Summary)
  15. Kadaverugu A.Rao C and Gorthi K. 2021. Quantification of flood mitigation services by urban green spaces using InVEST model: a case study of Hyderabad city. India. Modeling Earth Systems and Environment. 7(10): .1007.
  16. Kim TY․Song CH․Lee WK․Kim MI․Lim C H․Jeon SW and Kim JS. 2015. Habitat Quality Valuation Using InVEST Model in Jeju Island. J. Korean Env. Res. Tech. 18(5): 1-11. (In Korean with English Summary)
  17. NRCS-USDA. 2007. Part 630 Hydrology National Engineering Handbook, Chapter 7 Hydrologic Soil Groups.
  18. Nedkov S and Burkhard B. 2012. Flood regulating ecosystem services-Mapping supply and demand, in the Etropole municipality, Bulgaria. Ecological Indicators 21: 67-79. https://doi.org/10.1016/j.ecolind.2011.06.022
  19. Quan NH.Hieu ND and Van Thu TT. 2020. Green Infrastructure modelling for assessment of urban flood reduction in Ho Chi Minh city. CIGOS 2019. Innovation for sustainable infrastructure. Springer Singapore 1105-1110.
  20. Rangari VA․Umamahesh NV and Bhatt CM. 2019. Assessment of inundation risk in urban floods using HEC RAS 2D. Model Earth Syst Environ 5: 1839-1851. https://doi.org/10.1007/s40808-019-00641-8
  21. Rao KK.Patwardhan SK.Kulkarni A.Kamala K.Sabade SS and Kumar KK. 2014. Projected changes in mean and extreme precipitation indices over India using PRECIS. Global and Planetary Change 113: 77-90. https://doi.org/10.1016/j.gloplacha.2013.12.006
  22. Ryu DH and Lee DK. 2013. Evaluation on economic value of the Greenbelt's ecosystem services in the Seoul Metropolitan Region. Korea Planners Association 48(3): 279-292. (In Korean with English Summary)
  23. Song CH․Lee WK․Choi HA․Jeon SW․Kim J U․Kim JS and Kim JT. 2015. Application of InVEST Water Yield Model for Assessing Forest Water Provisioning Ecosystem Services. Journal of the Korean Association of Geographic Information Studies 18(1): 120-134. (In Korean with English Summary) https://doi.org/10.11108/KAGIS.2015.18.1.120
  24. Suwon-si .2007. Suwon Sewage System Maintenance Master Plan(change). (In Korean with English Summary)