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2016 - Cities Climate Hazards
| Row number | Organisation | Account No | Country | City Short Name | C40 | Reporting Year | Climate hazards | Magnitude of impact | Impact description | a) Asset or service | b) Asset or service | c) Asset or service | City Location | Country Location |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1001 | City of London, ON | 50558 | Canada | London, ON | 2016 | Atmospheric CO2 concentrations | Less serious | Heat waves are often accompanied by smog alerts as the prevailing wind patterns associated with heat waves brings pollutants from upwind emissions sources in the US (coal-fired power plants along the Ohio Valley) With tailpipe emission standards, Ontario's phase out of coal fired power plants, and US regulations for their coal-fired power plants, peak ground-level ozone levels have been trending downwards since the 1990s. | Health and community | (42.9837°, -81.2497°) | (56.130366°, -106.346771°) | |||
| 1002 | Taoyuan City Hall | 54395 | Taiwan | Taoyuan | 2016 | Rain storm | Less serious | Continuous rainfall causes flooding on the main roads and residential area | Water | Health and community | Food and agriculture | (24.993628°, 121.30098°) | (23.69781°, 120.960515°) | |
| 1003 | Taoyuan City Hall | 54395 | Taiwan | Taoyuan | 2016 | Drought | Serious | Decrease in rainfall between winter and spring | Water | Food and agriculture | Health and community | (24.993628°, 121.30098°) | (23.69781°, 120.960515°) | |
| 1004 | Taoyuan City Hall | 54395 | Taiwan | Taoyuan | 2016 | Heat wave | Less serious | Number of hot days had increased with old days decreased, besides , it showed increasing trend in both highest and lowest temperature of a day. | Energy | Commerical | Residential | (24.993628°, 121.30098°) | (23.69781°, 120.960515°) | |
| 1005 | Tongyeong City | 48488 | South Korea | Tongyeong | 2016 | Rain storm | Serious | Due to geographical characteristics, the fishing industry is advanced and there are abundant fishes. They are expecting seasonal changes of precipitation will significantly influence the fishing industries. Changes of catch and kinds of fishes will be influenced by the climate change. | Industry | (34.8544°, 128.4332°) | (35.907757°, 127.766922°) | |||
| 1006 | City of Buffalo | 50550 | USA | Buffalo | 2016 | Other: Precipitation Change | Serious | Rising air temperatures intensify the water cycle by driving increased precipitation..“more water at the wrong time, less water when it’s needed” | Water | Food and agriculture | Health and community | (42.8864°, -78.8784°) | (37.09024°, -95.712891°) | |
| 1007 | Uljin County | 50716 | South Korea | Uljin | 2016 | Extreme hot days | Serious | Ozone layer destruction leads to consistent increase in temperature. | Energy | (36.993066°, 129.400419°) | (35.907757°, 127.766922°) | |||
| 1008 | Uljin County | 50716 | South Korea | Uljin | 2016 | Heat wave | Serious | Duration and frequency of heat wave increase Other negative impacts from global warming | Health and community | (36.993066°, 129.400419°) | (35.907757°, 127.766922°) | |||
| 1009 | Uljin County | 50716 | South Korea | Uljin | 2016 | Drought | Serious | Water shortage due to low precipitation | (36.993066°, 129.400419°) | (35.907757°, 127.766922°) | ||||
| 1010 | Wellington City Council | 43937 | New Zealand | Wellington | 2016 | Rain storm | Serious | Flooding; land subsidence; buildings; siltation; flora and fauna | Residential | Commercial | Food and Agriculture | (26.661763°, -80.268357°) | (-40.900557°, 174.885971°) | |
| 1011 | Wellington City Council | 43937 | New Zealand | Wellington | 2016 | Coastal flood | Extremely serious | Flooding; land subsidence; buildings; siltation; flora and fauna; evacuation of residents; commercial; utilities; economic | Residential | Commercial | Food and Agriculture | (26.661763°, -80.268357°) | (-40.900557°, 174.885971°) | |
| 1012 | Wellington City Council | 43937 | New Zealand | Wellington | 2016 | Flash/surface flood | Serious | Flooding; buildings, land subsidence; siltation; impacts on flora and fauna; evacuation of residents; commercial; utilities; economic | Residential | Commercial | Food and Agriculture | (26.661763°, -80.268357°) | (-40.900557°, 174.885971°) | |
| 1013 | Wellington City Council | 43937 | New Zealand | Wellington | 2016 | Drought | Less serious | Less water for a variety of services; utilities | Residential | Commercial | Food and Agriculture | (26.661763°, -80.268357°) | (-40.900557°, 174.885971°) | |
| 1014 | Wellington City Council | 43937 | New Zealand | Wellington | 2016 | Storm surge | Extremely serious | Flooding; land subsidence; buildings; siltation; flora and fauna; evacuation of residents; commercial; utilities; economic | Residential | Commercial | Food and Agriculture | (26.661763°, -80.268357°) | (-40.900557°, 174.885971°) | |
| 1015 | Wellington City Council | 43937 | New Zealand | Wellington | 2016 | Severe wind | Serious | Buildings; flora and fauna; evacuation of residents, commercial; utilities; economic | Residential | Commercial | Food and Agriculture | (26.661763°, -80.268357°) | (-40.900557°, 174.885971°) | |
| 1016 | City of Buffalo | 50550 | USA | Buffalo | 2016 | Other: Public Health Issues | Extremely serious | Changes in historic precipitation and temperature patterns impacting water quality and flooding, heating and cooling costs, and public health. | Health and community | Commerical | Emergency services | (42.8864°, -78.8784°) | (37.09024°, -95.712891°) | |
| 1017 | Ville de Salaberry-de-Valleyfield | 60680 | Canada | Salaberry-de-Valleyfield | 2016 | Other: Rain freezing | Serious | (45.250091°, -74.133086°) | (56.130366°, -106.346771°) | |||||
| 1018 | Canberra | 43928 | Australia | Canberra | 2016 | Rain storm | Serious | Climate projections for the water cycle indicate even more reduced reliability of evenly spread rain throughout the year. In the mid to longer term, winter and early spring rain is projected to decrease, but there will be more intense rain events in the warmer months of late spring and summer. With decreasing reliability of rainfall, plant life will become stressed and this has flow-on effects for natural ecosystems and urban landscapes. | Water | Health and community | Food and Agriculture | (-35.3075°, 149.1244°) | (-25.274398°, 133.775136°) | |
| 1019 | Municipalidad de La Paz | 50364 | Bolivia | La Paz | 2016 | Other: Retroceso de glaciares | Extremely serious | La disminución de las nevadas cordilleranas y el retroceso de los glaciares producirá una merma en los caudales de los ríos, de las vertientes y con ello, escasez de agua para riego, producción de alimentos, energía, actividad turística, pero especialmente para el consumo humano | Water | Food and agriculture | Energy | (-16.5°, -68.15°) | (-16.290154°, -63.588653°) | |
| 1020 | Ayuntamiento de Morelia | 50356 | Mexico | Morelia | 2016 | Drought | Serious | Afectacion de zonas de cultivo | Food and agriculture | Emergency services | Health and community | (32.502581°, -117.069292°) | (23.634501°, -102.552784°) | |
| 1021 | Kolkata Metropolitan Area | 35904 | India | Kolkata | C40 | 2016 | Cyclone (Hurricane/Typhoon) | Serious | A report by the Inter Agency Group on historical occurrences of tropical cyclones indicates that Kolkata Metropolitan Area has been hit 11 times by severe cyclonic storms between 1977 and 2011. The intensity and size has of the storms have also increased. | Energy | Emergency services | Transport | (22.556147°, 88.40706°) | (20.593684°, 78.96288°) |
| 1022 | Kolkata Metropolitan Area | 35904 | India | Kolkata | C40 | 2016 | Monsoon | Serious | The average rainfall in Kolkata Metropolitan Area has increased from approximately 1510mm in 1901 to 1750mm in 2011. A comparison of 10 yearly blocks between1972 and 2011 shows that the average rainfall has increased considerably between 1992 and 2011. The rainfall has also been erratic in the same period. Although the total number of recorded heavy rainfall incidences is 78, with mean of 2.2 per year, there have been considerable variations, with some years having none and others having six. | Energy | Emergency services | Transport | (22.556147°, 88.40706°) | (20.593684°, 78.96288°) |
| 1023 | Kolkata Metropolitan Area | 35904 | India | Kolkata | C40 | 2016 | Heat wave | Serious | The climate of Kolkata Metropolitan Area is considered to be tropical wet and dry, with an annual mean temperature of 28.3°C.Over the last 63 years instances of daily maximum temperature exceeding 40°C have increased ; the pre-monsoon season. Mean annual maximum temperature (31.2°C) is projected to increase by between 1.0-1.6°C by mid-century and by 1.7-3.3°C by end-century. Maximum temperature in Kolkata was recorded between 41.1°C and 41.5°C during April and May 2014. The city has recorded three deaths and 20 hospitalisation cases due to heat stress in 2015 (IDSP cell, 2015). Temperature increase will be more in winter. With rise in local temperatures, there is likely to be an accompanying rise in illnesses and deaths that will occur as a direct result of an increase in severe heat waves. | Energy | Food and agriculture | Health and community | (22.556147°, 88.40706°) | (20.593684°, 78.96288°) |
| 1024 | Kolkata Metropolitan Area | 35904 | India | Kolkata | C40 | 2016 | Flash/surface flood | Serious | Kolkata Municipal Corporation, the most important ULB in Kolkata Metropolitan Area, is currently ranked as the third most vulnerable city in the world from coastal flooding. Kolkata Metropolitan Area’s slums are highly vulnerable to floods and cyclones because of poor construction materials, weak social structures and their vulnerable locations. Some are located in highly vulnerable zones that were previously low-lying wetlands surrounded by vast water bodies into which sewage flows from the city. | Water | Transport | Food and agriculture | (22.556147°, 88.40706°) | (20.593684°, 78.96288°) |
| 1025 | Kolkata Metropolitan Area | 35904 | India | Kolkata | C40 | 2016 | Atmospheric CO2 concentrations | Serious | Kolkata Municipal Corporation, the most important ULB in Kolkata Metropolitan Area is the fifth highest amongst major cities in India emitting 14.8 million tons of greenhouse gases (GHG)I. It is also the second highest contributor in terms of per capita CO2 emission producing 3.29 tons of CO2 per capita. Emissions in Kolkata Metropolitan Area are projected to increase by some 54% by 2025 based on 2014 level. Around 70% of Kolkata’s 15 million inhabitants suffer from some form of respiratory problems caused by pollution from the city’s transport sector. | Health and community | Residential | Commerical | (22.556147°, 88.40706°) | (20.593684°, 78.96288°) |
| 1026 | Kolkata Metropolitan Area | 35904 | India | Kolkata | C40 | 2016 | Subsidence | Serious | 53% of the boroughs with in Kolkata municipal Corporation show a groundwater level decline of 0.13 metres per year or greater. | Water | (22.556147°, 88.40706°) | (20.593684°, 78.96288°) | ||
| 1027 | Kolkata Metropolitan Area | 35904 | India | Kolkata | C40 | 2016 | Vector-borne disease | Serious | With rise in local temperatures, there is likely to be an accompanying rise in illnesses and deaths that will occur as a direct result of an increase in severe heat waves. Due to Maximum temperature in Kolkata Metropolitan Area was recorded between 41.1°C and 41.5°C during April and May 2014. Vector-borne diseases such as malaria and dengue as well as respiratory diseases due to increasing pollution levels, are expected to rise in the city. | Health and community | Water | (22.556147°, 88.40706°) | (20.593684°, 78.96288°) | |
| 1028 | Kolkata Metropolitan Area | 35904 | India | Kolkata | C40 | 2016 | Salt water intrusion | Serious | Water | (22.556147°, 88.40706°) | (20.593684°, 78.96288°) | |||
| 1029 | City of Antipolo | 59989 | Philippines | Antipolo | 2016 | Air-borne disease | Health and community | Residential | (14.625483°, 121.124485°) | (12.879721°, 121.774017°) | ||||
| 1030 | City of Antipolo | 59989 | Philippines | Antipolo | 2016 | Drought | Food and agriculture | Health and community | (14.625483°, 121.124485°) | (12.879721°, 121.774017°) | ||||
| 1031 | City of Antipolo | 59989 | Philippines | Antipolo | 2016 | Extreme hot days | Health and community | (14.625483°, 121.124485°) | (12.879721°, 121.774017°) | |||||
| 1032 | City of Antipolo | 59989 | Philippines | Antipolo | 2016 | Fog | Health and community | Transport | (14.625483°, 121.124485°) | (12.879721°, 121.774017°) | ||||
| 1033 | City of Antipolo | 59989 | Philippines | Antipolo | 2016 | Landslide | Health and community | Transport | Emergency services | (14.625483°, 121.124485°) | (12.879721°, 121.774017°) | |||
| 1034 | City of Antipolo | 59989 | Philippines | Antipolo | 2016 | Rain storm | Transport | Food and agriculture | Emergency services | (14.625483°, 121.124485°) | (12.879721°, 121.774017°) | |||
| 1035 | City of Antipolo | 59989 | Philippines | Antipolo | 2016 | River flood | Health and community | Residential | (14.625483°, 121.124485°) | (12.879721°, 121.774017°) | ||||
| 1036 | City of Antipolo | 59989 | Philippines | Antipolo | 2016 | Tropical storm | Emergency services | Health and community | (14.625483°, 121.124485°) | (12.879721°, 121.774017°) | ||||
| 1037 | City of Antipolo | 59989 | Philippines | Antipolo | 2016 | Cyclone (Hurricane/Typhoon) | Food and agriculture | Health and community | Residential | (14.625483°, 121.124485°) | (12.879721°, 121.774017°) | |||
| 1038 | City of Antipolo | 59989 | Philippines | Antipolo | 2016 | Flash/surface flood | Health and community | Transport | (14.625483°, 121.124485°) | (12.879721°, 121.774017°) | ||||
| 1039 | City of Monterrey | 35871 | Mexico | Monterrey | 2016 | Rain storm | (25.686614°, -100.316113°) | (23.634501°, -102.552784°) | ||||||
| 1040 | Kapiti Coast District Council | 59955 | New Zealand | Kapiti Coast | 2016 | Coastal flood | Serious | Impact on homes and businesses - disruptions and repair costs | Residential | Health and community | Commerical | (-40.915408°, 175.004003°) | (-40.900557°, 174.885971°) | |
| 1041 | Kapiti Coast District Council | 59955 | New Zealand | Kapiti Coast | 2016 | Drought | Serious | Water supply | Food and agriculture | Water | (-40.915408°, 175.004003°) | (-40.900557°, 174.885971°) | ||
| 1042 | Kapiti Coast District Council | 59955 | New Zealand | Kapiti Coast | 2016 | Extreme hot days | Serious | Welfare of older population | Health and community | (-40.915408°, 175.004003°) | (-40.900557°, 174.885971°) | |||
| 1043 | Kapiti Coast District Council | 59955 | New Zealand | Kapiti Coast | 2016 | Forest fire | Less serious | Loss of forests | Food and agriculture | (-40.915408°, 175.004003°) | (-40.900557°, 174.885971°) | |||
| 1044 | Kapiti Coast District Council | 59955 | New Zealand | Kapiti Coast | 2016 | Heat wave | Serious | Welfare of older population | Health and community | (-40.915408°, 175.004003°) | (-40.900557°, 174.885971°) | |||
| 1045 | Kapiti Coast District Council | 59955 | New Zealand | Kapiti Coast | 2016 | Permanent inundation | Extremely serious | Loss of homes, businesses, community assets and communities themselves. | Residential | Health and community | Commerical | (-40.915408°, 175.004003°) | (-40.900557°, 174.885971°) | |
| 1046 | Kapiti Coast District Council | 59955 | New Zealand | Kapiti Coast | 2016 | Rain storm | Serious | Disruption to travel | Transport | (-40.915408°, 175.004003°) | (-40.900557°, 174.885971°) | |||
| 1047 | Kapiti Coast District Council | 59955 | New Zealand | Kapiti Coast | 2016 | River flood | Serious | Impact on homes and businesses - disruptions and repair costs | Residential | Transport | Health and community | (-40.915408°, 175.004003°) | (-40.900557°, 174.885971°) | |
| 1048 | Kapiti Coast District Council | 59955 | New Zealand | Kapiti Coast | 2016 | Salt water intrusion | Serious | Loss of arable land | Food and agriculture | (-40.915408°, 175.004003°) | (-40.900557°, 174.885971°) | |||
| 1049 | Kapiti Coast District Council | 59955 | New Zealand | Kapiti Coast | 2016 | Severe wind | Serious | Disruption to travel | Transport | (-40.915408°, 175.004003°) | (-40.900557°, 174.885971°) | |||
| 1050 | Kapiti Coast District Council | 59955 | New Zealand | Kapiti Coast | 2016 | Storm surge | Extremely serious | Impact on homes and businesses - disruptions and repair costs | Residential | Commerical | Health and community | (-40.915408°, 175.004003°) | (-40.900557°, 174.885971°) |
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In 2016, cities reported over 2,000 climate hazards that are impacting their cities. Globally, cities are reporting that health and community will be most impacted by climate change.
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