初探風險指標與淹水事件之關聯性－以新北市為例

Exploring the Relationship between Risk Indicators and Flooding Events-A case study in New Taipei City, Taiwan

10.6128/CP.202303_50(1).0003

陳姿伶(Tzu-Ling Chen)；林子閎(Zih-Hong Lin)

淹水災害 ； 風險指標 ； 風險評估 ； 羅吉斯迴歸 ； 地理加權羅吉斯迴歸 ； Flooding ； Risk indicators ； Risk assessment ； Logistic regression ； Geographically Weighted Logistic Regression (GWLR)

都市與計劃

50卷1期（2023 / 03 / 31）

57 - 84

繁體中文;英文

在全球氣候變遷的影響下，淹水災害越發頻繁，增加洪患管理的難度。為了系統性地解構災害事件，災害風險評估是一個重要的分析手段，其分析成果可以做為洪患管理的參考，爰此，淹水災害的風險評估是一個重要的課題。本研究欲探討風險指標對於淹水事件的發生機率是否會產生影響，並且探討風險指標對於災害事件的影響是否存在空間的異質性。本研究首先對風險指標進行空間群聚的分析，描繪風險指標在研究區的空間群聚狀況；接著透過羅吉斯迴歸研析風險指標對淹水事件的關聯性；最後透過地理加權羅吉斯迴歸探討影響能力的空間異質性。研究成果發現羅吉斯迴歸模型的預測有約60.9%的正確性，其中淹水潛勢面積比例對於淹水災害的發生有最高且正向的影響力；弱勢族群對於水災的影響屬於負相關。而地理加權羅吉斯迴歸的模式表現比起羅吉斯迴歸還好，可以顯著提升模式的配適性，並對影響力空間異質性的空間樣態進行初探。本研究之成果可做為未來淹水災害的調適策略之參考。

Global climate change has affected our environment and increased the frequency of flooding disasters. To strengthen disaster management, flood risk assessment provides a systematical analysis to assess the elements of flooding disaster. The risk assessment for flooding disaster is an essential issue for disaster reduction. This study intends to explore whether risk indicators can influence the probability of occurrence of floods. This work first applies hotspot analysis to reveal the spatial distribution and cluster of each risk indicator. Logistic regression is then adopted to build a model and explore the relationships between risk indicators and flooding events. Finally, geographically weighted logistic regression is used to analyze the spatial heterogeneity phenomenon in the last part. Analytical results indicate that the logistic model has approximately 60.9% accuracy in the study area. A positive correlation is found between flooding events and inundation potential area percentage, while minority groups have a negative correlation with flooding events. Moreover, the geographically weighted logistic regression approach has better goodness-of-fit than the original one. This investigation also reveals that the spatial heterogeneity phenomenon still exists in the relationships between risk indicators and flooding events. The results of this work can be utilized as a reference for further flooding adaptation strategies.

1. 何謹余,童慶斌,王涴雅(2020)。災與氣候變遷調適在區域治理上之融合研究─以坡地災害為例。農業工程學報，66(2)，12-25。
   連結：
2. 林子平,林憲德,李仁豪(2001)。台南市都市環境透水性能實測解析。都市與計劃，28(2)，211-235。
   連結：
3. 林文苑,洪啟東(2017)。臺灣本島網格化災害脆弱度空間分布評估與OWA分析應用。地理學報，87，39-78。
   連結：
4. 張學聖,劉佩佳(2015)。考量空間關聯之地區洪災脆弱性研究以雲林縣易淹水地區為例。地理學報，79，1-29。
   連結：
5. 詹士樑,黃書禮,王思樺(2003)。臺北地區洪水災害風險分區劃設之研究。都市與計劃，30(4)，263-280。
   連結：
6. Akter, M.,Jahan, M.,Kabir, R.,Karim, D. S.,Haque, A.,Rahman, M.,Salehin, M.(2019).Risk assessment based on fuzzy synthetic evaluation method.Science of The Total Environment,658,818-829.
7. Berland, A.,Shiflett, S. A.,Shuster, W. D.,Garmestani, A. S.,Goddard, H. C.,Herrmann, D. L.,Hopton, M. E.(2017).The role of trees in urban stormwater management.Landscape and Urban Planning,162,167-177.
8. Bisht, D. S.,Chatterjee, C.,Kalakoti, S.,Upadhyay, P.,Sahoo, M.,Panda, A.(2016).Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study.Natural Hazards,84(2),749-776.
9. Cai, T.,Li, X.,Ding, X.,Wang, J.,Zhan, J.(2019).Flood risk assessment based on hydrodynamic model and fuzzy comprehensive evaluation with GIS technique.International Journal of Disaster Risk Reduction,35,101077.
10. Carrão, H.,Naumann, G.,Barbosa, P.(2016).Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability.Global Environmental Change,39,108-124.
11. Chang, H. S.,Chen, T. L.(2016).Spatial heterogeneity of local flood vulnerability indicators within flood-prone areas in Taiwan.Environmental Earth Sciences,75(23),1-14.
12. Chen, A. S.,Hsu, M. H.,Teng, W. H.,Huang, C. J.,Yeh, S. H.,Lien, W. Y.(2006).Establishing the database of inundation potential in Taiwan.Natural hazards,37(1-2),107-132.
13. Chen, T. L.,Lin, Z. H.(2021).Planning for climate change: evaluating the changing patterns of flood vulnerability in a case study in New Taipei City, Taiwan.Stochastic Environmental Research and Risk Assessment,35(6),1161-1174.
14. Chuang, M. T.,Chen, T. L.,Lin, Z. H.(2020).A review of resilient practice based upon flood vulnerability in New Taipei City, Taiwan.International Journal of Disaster Risk Reduction,46,101494.
15. Chun, H.,Chi, S.,Hwang, B. G.(2017).A spatial disaster assessment model of social resilience based on geographically weighted regression.Sustainability,9(12),2222.
16. Cutter, S. L.,Barnes, L.,Berry, M.,Burton, C.,Evans, E.,Tate, E.,Webb, J.(2008).A place based model for understanding community resilience to natural disasters.Global Environmental Change,18(4),598-606.
17. De Moel, H.,Aerts, J. C.,Koomen, E.(2011).Development of flood exposure in the Netherlands during the 20th and 21st century.Global Environmental Change,21(2),620-627.
18. Dewan, A.(2013).Floods in a megacity: geospatial techniques in assessing hazards, risk and vulnerability (pp. 119-156).Dordrecht:Springer.
19. Fotheringham, A. S.,Brunsdon, C.,Charlton, M.(2003).Geographically Weighted regression: the analysis of spatially varying relationships.New York:John Wiley and Sons.
20. Getis, A.,Ord, J. K(1992).The Analysis of Spatial Association by Use of Distance Statistics.Geographic Analysis,24,189-206.
21. Grahn, T.,Nyberg, L.(2017).Assessment of pluvial flood exposure and vulnerability of residential areas.International Journal of Disaster Risk Reduction,21,367-375.
22. Greene, G.,Paranjothy, S.,Palmer, S. R.(2015).Resilience and vulnerability to the psychological harm from flooding: The role of social cohesion.American Journal of Public Health,105(9),1792-1795.
23. Hadipour, V.,Vafaie, F.,Deilami, K.(2020).Coastal Flooding Risk Assessment Using a GIS-Based Spatial Multi-Criteria Decision Analysis Approach.Water,12(9),2379.
24. Hazarika, N.,Barman, D.,Das, A. K.,Sarma, A. K.,Borah, S. B.(2018).Assessing and mapping flood hazard, vulnerability and risk in the Upper Brahmaputra River valley using stakeholders’ knowledge and multicriteria evaluation (MCE).Journal of Flood Risk Management,11,S700-S716.
25. Hu, P.,Zhang, Q.,Shi, P.,Chen, B.,Fang, J.(2018).Flood-induced mortality across the globe: Spatiotemporal pattern and influencing factors.Science of The Total Environment,643,171-182.
26. IPCC=Intergovernmental Panel on Climate Change(2014).Climate Change 2014: Impacts, Adaptation and Vulnerability.Contribution of Working Group 2 to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change,Cambridge, UK:
27. Irajifar, L.,Alizadeh, T.,Sipe, N.(2013).Disaster resiliency measurement frameworks: State of the art,In Presented at the World Building Congress.Brisbane, Australia:
28. Jato-Espino, D.,Sillanpää, N.,Andrés-Doménech, I.,Rodriguez-Hernandez, J.(2018).Flood risk assessment in urban catchments using multiple regression analysis.Journal of Water Resources Planning and Management,144(2),04017085.
29. Jodar-Abellan, A.,Valdes-Abellan, J.,Pla, C.,Gomariz-Castillo, F.(2019).Impact of land use changes on flash flood prediction using a sub-daily SWAT model in five Mediterranean ungauged watersheds (SE Spain).Science of The Total Environment,657,1578-1591.
30. Johnson, B. A.,Scheyvens, H.,Khalily, M. B.,Onishi, A.(2019).Investigating the relationships between climate hazards and spatial accessibility to microfinance using geographically-weighted regression.International Journal of Disaster Risk Reduction,33,122-130.
31. Karamouz, M.,Hosseinpour, A.,Nazif, S.(2011).Improvement of urban drainage system performance under climate change impact: Case study.Journal of Hydrologic Engineering,16(5),395-412.
32. Lyu, H. M.,Shen, S. L.,Zhou, A. N.,Zhou, W. H.(2019).Flood risk assessment of metro systems in a subsiding environment using the interval FAHP-FCA approach.Sustainable CIties and Society,50,101682.
33. Lyu, H. M.,Shen, S. L.,Zhou, A.,Yang, J.(2019).Perspectives for flood risk assessment and management for mega-city metro system.Tunnelling and Underground Space Technology,84,31-44.
34. Mehaffey, M.,Wainger, L.,Wade, T.,Yankee, D.,Smith, E.,Bott, V.,Yarbourgh, R.(2008).Assessing vulnerabilities from alternative development patterns.Landscape and Urban Planning,87(1),84-95.
35. Miles, B.,Band, L. E.(2015).Green infrastructure stormwater management at the watershed scale: urban variable source area and watershed capacitance.Hydrological Processes,29(9),2268-2274.
36. Nkeki, F. N.,Asikhia, M. O.(2019).Geographically weighted logistic regression approach to explore the spatial variability in travel behaviour and built environment interactions: Accounting simultaneously for demographic and socioeconomic characteristics.Applied Geography,108,47-63.
37. Ouma, Y. O.,Tateishi, R.(2014).Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: methodological overview and case study assessment.Water,6(6),1515-1545.
38. Rodrigues, M.,de la Riva, J.,Fotheringham, S.(2014).Modeling the spatial variation of the explanatory factors of human-caused wildfires in Spain using geographically weighted logistic regression.Applied Geography,48,52-63.
39. Shan, X.,Wen, J.,Zhang, M.,Wang, L.,Ke, Q.,Li, W.,Du, S.,Shi, Y.,Chen, K.,Liao, B.,Li, X.,Xu, H.(2019).Scenario-based extreme flood risk of residential buildings and household properties in Shanghai.Sustainability,11(11),3202.
40. Smith, A.,Bates, P. D.,Wing, O.,Sampson, C.,Quinn, N.,Neal, J.(2019).New estimates of flood exposure in developing countries using high-resolution population data.Nature Communications,10(1),1-7.
41. Tabari, H.(2020).Climate change impact on flood and extreme precipitation increases with water availability.Scientific Reports,10,1-10.
42. Tanoue, M.,Hirabayashi, Y.,Ikeuchi, H.(2016).Global-scale river flood vulnerability in the last 50 years.Scientific Reports,6,36021.
43. Tate, E.,Rahman, M. A.,Emrich, C. T.,Sampson, C. C.(2021).Flood exposure and social vulnerability in the United States.Natural Hazards,106(1),435-457.
44. Tsai, M. H.,Chang, Y. L.,Shiau, J. S.,Wang, S. M.(2020).Exploring the effects of a serious game-based learning package for disaster prevention education: The case of Battle of Flooding Protection.International Journal of Disaster Risk Reduction,43,101393.
45. UNDRR=United Nations Office for Disaster Risk Reduction(2020).Sendai Framework for Disaster Risk Reduction 2015-2030.
46. UNISDR (United Nations Office for Disaster Risk Reduction) (2019) Disaster Statistics. https://www.unisdr.org/we/inform/disaster-statistics. Dec. 15, 2020.
47. Vis, M.,Klijn, F.,De Bruijn, K. M.,Van Buuren, M.(2003).Resilience strategies for flood risk management in the Netherlands.International Journal of River Basin Management,1(1),33-40.
48. Voogd, J. H.(1982).Multicriteria evaluation for urban and regional planning.
49. Wang, C.,Du, S.,Wen, J.,Zhang, M.,Gu, H.,Shi, Y.,Xu, H.(2017).Analyzing explanatory factors of urban pluvial floods in Shanghai using geographically weighted regression.Stochastic Environmental Research and Risk Assessment,31(7),1777-1790.
50. Wang, H.,Stephenson, S. R.,Qu, S.(2019).Modeling spatially non-stationary land use/cover change in the lower Connecticut River Basin by combining geographically weighted logistic regression and the CA-Markov model.International Journal of Geographical Information Science,33(7),1313-1334.
51. Wu, L.,Deng, F.,Xie, Z.,Hu, S.,Shen, S.,Shi, J.,Liu, D.(2016).Spatial analysis of severe fever with thrombocytopenia syndrome virus in China using a geographically weighted logistic regression model.International Journal of Environmental Research and Public Health,13(11),1125.
52. Yang, W.,Xu, K.,Lian, J.,Ma, C.,Bin, L.(2018).Integrated flood vulnerability assessment approach based on TOPSIS and Shannon entropy methods.Ecological Indicators,89,269-280.
53. Zhou, X.,Bai, Z.,Yang, Y.(2017).Linking trends in urban extreme rainfall to urban flooding in China.International Journal of Climatology,37(13),4586-4593.
54. 童慶斌,劉子明,林嘉佑,曹榮軒,李明旭(2015)。氣候變遷水資源風險評估與調適決策之探討。土木水利，42(4)，30-45。
55. 溫在弘(2015).空間分析方法與應用.臺北市:致良出版社有限公司.