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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 901 | Hongcheon County | 51105 | South Korea | Hongcheon | 2016 | Rain storm | Serious | Expecting higher increase in rainy days and annual precipitation than the national average, largely affecting the city’s affairs | Residential | Emergency services | Commerical | (37.696952°, 127.888683°) | (35.907757°, 127.766922°) | |
| 902 | Hongcheon County | 51105 | South Korea | Hongcheon | 2016 | Drought | Less serious | Expecting drinking water scarcity and damage on crops due to droughts | Water | Food and agriculture | Food and agriculture | (37.696952°, 127.888683°) | (35.907757°, 127.766922°) | |
| 903 | Hsinchu County Government | 54390 | Taiwan | Hsinchu | 2016 | Rain storm | Less serious | Water | Food and agriculture | Health and community | (24.8269°, 121.0129°) | (23.69781°, 120.960515°) | ||
| 904 | Hsinchu County Government | 54390 | Taiwan | Hsinchu | 2016 | Extreme hot days | Less serious | Water | Food and agriculture | Health and community | (24.8269°, 121.0129°) | (23.69781°, 120.960515°) | ||
| 905 | Hsinchu County Government | 54390 | Taiwan | Hsinchu | 2016 | Drought | Less serious | Water | Food and agriculture | Health and community | (24.8269°, 121.0129°) | (23.69781°, 120.960515°) | ||
| 906 | Hsinchu County Government | 54390 | Taiwan | Hsinchu | 2016 | River flood | Less serious | Water | Food and agriculture | Health and community | (24.8269°, 121.0129°) | (23.69781°, 120.960515°) | ||
| 907 | Hsinchu County Government | 54390 | Taiwan | Hsinchu | 2016 | Coastal flood | Less serious | Water | Food and agriculture | Health and community | (24.8269°, 121.0129°) | (23.69781°, 120.960515°) | ||
| 908 | Hsinchu County Government | 54390 | Taiwan | Hsinchu | 2016 | Extreme winter conditions | Less serious | Water | Food and agriculture | Health and community | (24.8269°, 121.0129°) | (23.69781°, 120.960515°) | ||
| 909 | Taipei City Government | 31446 | Taiwan | Taipei City | 2016 | Extreme hot days | Serious | The Frequency and duration of heat waves had a significant increase and lead to significant temperature variability over the past 50 years in the north Taiwan. | Health and community | Residential | Food and agriculture | (25.037525°, 121.563782°) | (23.69781°, 120.960515°) | |
| 910 | Incheon Metropolitan City | 44182 | South Korea | Incheon | 2016 | Extreme hot days | Serious | Health and community | Residential | Energy | (37.456256°, 126.705206°) | (35.907757°, 127.766922°) | ||
| 911 | Hwacheon County | 51101 | South Korea | Hwacheon | 2016 | Heat wave | Serious | global warming is in progress | Food and agriculture | (38.105648°, 127.708049°) | (35.907757°, 127.766922°) | |||
| 912 | Hwacheon County | 51101 | South Korea | Hwacheon | 2016 | Heat wave | Serious | global warming is in progress | Food and agriculture | (38.105648°, 127.708049°) | (35.907757°, 127.766922°) | |||
| 913 | Hwacheon County | 51101 | South Korea | Hwacheon | 2016 | Tropical storm | Serious | Expecting increase power of Typhoon damage due to increased temperature level | Residential | (38.105648°, 127.708049°) | (35.907757°, 127.766922°) | |||
| 914 | Hwacheon County | 51101 | South Korea | Hwacheon | 2016 | Groundwater flood | Serious | Expecting increase power of Typhoon damage due to increased temperature level | Residential | (38.105648°, 127.708049°) | (35.907757°, 127.766922°) | |||
| 915 | Hwacheon County | 51101 | South Korea | Hwacheon | 2016 | Cyclone (Hurricane/Typhoon) | Serious | Expecting increase power of Typhoon damage due to increased temperature level | Residential | (38.105648°, 127.708049°) | (35.907757°, 127.766922°) | |||
| 916 | Hwacheon County | 51101 | South Korea | Hwacheon | 2016 | Cyclone (Hurricane/Typhoon) | Serious | Expecting increase power of Typhoon damage due to increased temperature level | Residential | (38.105648°, 127.708049°) | (35.907757°, 127.766922°) | |||
| 917 | Hwacheon County | 51101 | South Korea | Hwacheon | 2016 | Coastal flood | Less serious | Expecting increase power of Typhoon damage due to increased temperature level | Emergency services | (38.105648°, 127.708049°) | (35.907757°, 127.766922°) | |||
| 918 | Imsil County | 51242 | South Korea | Imsil | 2016 | Drought | Serious | Energy | Water | Food and agriculture | (35.611055°, 127.28266°) | (35.907757°, 127.766922°) | ||
| 919 | Incheon Metropolitan City | 44182 | South Korea | Incheon | 2016 | Extreme hot days | Serious | Health and community | Residential | Energy | (37.456256°, 126.705206°) | (35.907757°, 127.766922°) | ||
| 920 | City of Buffalo | 50550 | USA | Buffalo | 2016 | Other: Heating and cooling costs | Serious | Changes in historic precipitation and temperature patterns impacting water quality and flooding, heating and cooling costs, and public health. | Energy | Health and community | (42.8864°, -78.8784°) | (37.09024°, -95.712891°) | ||
| 921 | Incheon Metropolitan City | 44182 | South Korea | Incheon | 2016 | Heat wave | Serious | Health and community | Residential | Energy | (37.456256°, 126.705206°) | (35.907757°, 127.766922°) | ||
| 922 | Municipality of Trelleborg | 60236 | Sweden | Trelleborg | 2016 | Other: Heating of the sea | Greatly increased growth of algae and cyanobacteria | Commerical | Food and agriculture | (55.3754°, 13.1719°) | (60.128161°, 18.643501°) | |||
| 923 | Incheon Metropolitan City | 44182 | South Korea | Incheon | 2016 | Flash/surface flood | Serious | Residential | Water | Food and agriculture | (37.456256°, 126.705206°) | (35.907757°, 127.766922°) | ||
| 924 | Incheon Metropolitan City | 44182 | South Korea | Incheon | 2016 | Coastal flood | Less serious | Residential | Water | Food and agriculture | (37.456256°, 126.705206°) | (35.907757°, 127.766922°) | ||
| 925 | Inje County | 57630 | South Korea | Inje | 2016 | Rain storm | (38.069468°, 128.170699°) | (35.907757°, 127.766922°) | ||||||
| 926 | Inje County | 57630 | South Korea | Inje | 2016 | Drought | Extremely serious | Water | Food and agriculture | Health and community | (38.069468°, 128.170699°) | (35.907757°, 127.766922°) | ||
| 927 | Inje County | 57630 | South Korea | Inje | 2016 | Severe wind | (38.069468°, 128.170699°) | (35.907757°, 127.766922°) | ||||||
| 928 | Inje County | 57630 | South Korea | Inje | 2016 | Heat wave | (38.069468°, 128.170699°) | (35.907757°, 127.766922°) | ||||||
| 929 | Iskandar Regional Development Authority | 54388 | Malaysia | Iskandar | 2016 | Flash/surface flood | Less serious | Flash floods are quite frequent, but not seen as serious, as they occur only during times of heavy downpour. Certain parts of the city may experience strong damage but not structural. | Commerical | Residential | Transport | (5.714476°, 100.992084°) | (4.210484°, 101.975766°) | |
| 930 | Vilnius City Municipality | 36154 | Lithuania | Vilnius | 2016 | Rain storm | Less serious | 1. Floods in certain parts of the city; 2. Damage to buildings and infrastructure; 3. Disruption of transportation services. | Residential | Transport | (54.687156°, 25.279651°) | (55.169438°, 23.881275°) | ||
| 931 | Daejeon Metropolitan City | 44183 | South Korea | Daejeon | 2016 | Extreme hot days | Serious | Health and community | Energy | Emergency services | (36.350412°, 127.384548°) | (35.907757°, 127.766922°) | ||
| 932 | Jangseong County | 48533 | South Korea | Jangseong | 2016 | Heat wave | Serious | Health and community | (35.301833°, 126.784854°) | (35.907757°, 127.766922°) | ||||
| 933 | Jangseong County | 48533 | South Korea | Jangseong | 2016 | Rain storm | Serious | Emergency services | (35.301833°, 126.784854°) | (35.907757°, 127.766922°) | ||||
| 934 | Jecheon City | 51246 | South Korea | Jecheon | 2016 | Heat wave | (37.132582°, 128.190948°) | (35.907757°, 127.766922°) | ||||||
| 935 | Jecheon City | 51246 | South Korea | Jecheon | 2016 | Flash/surface flood | (37.132582°, 128.190948°) | (35.907757°, 127.766922°) | ||||||
| 936 | Jecheon City | 51246 | South Korea | Jecheon | 2016 | Drought | (37.132582°, 128.190948°) | (35.907757°, 127.766922°) | ||||||
| 937 | Town of Ajax, ON | 60602 | Canada | Ajax, ON | 2016 | Other: Ice Storm | Extremely serious | Energy | Emergency services | Transport | (43.850855°, -79.020373°) | (56.130366°, -106.346771°) | ||
| 938 | Jeju City | 44202 | South Korea | Jeju | 2016 | Heat wave | Serious | Days of heat wave are expected to reach 140 in 2041-2070, more than double compared to the last 30 years. | Health and community | (33.499621°, 126.531188°) | (35.907757°, 127.766922°) | |||
| 939 | Municipality of Hjørring | 58610 | Denmark | Hjørring | 2016 | Rain storm | Serious | Small scale flooding. Longer durations of water coverage | Transport | Residential | Food and Agriculture | (57.456779°, 9.995764°) | (56.26392°, 9.501785°) | |
| 940 | Jeju City | 44202 | South Korea | Jeju | 2016 | Rain storm | Less serious | The number of snowy days in Jeju has decreased since the late 1980s at the rate of 3 days per 10 years. | Water | (33.499621°, 126.531188°) | (35.907757°, 127.766922°) | |||
| 941 | Jeju City | 44202 | South Korea | Jeju | 2016 | Heavy snow | Less serious | The number of snowy days in Jeju has decreased since the late 1980s at the rate of 3 days per 10 years. | Other | (33.499621°, 126.531188°) | (35.907757°, 127.766922°) | |||
| 942 | Jeju City | 44202 | South Korea | Jeju | 2016 | Coastal flood | Serious | Sea temperature and sea level rises triggered by climate change will lead to changes in eco-system in Jeju, which also largely affects its fishery industry | Food and agriculture | (33.499621°, 126.531188°) | (35.907757°, 127.766922°) | |||
| 943 | Pyeongtaek City | 44200 | South Korea | Pyeongtaek | 2016 | Dust storm/sandstorm | Serious | Increased Dust | Health and community | Water | Residential | (36.992108°, 127.112945°) | (35.907757°, 127.766922°) | |
| 944 | Jeongseon County | 51256 | South Korea | Jeongseon | 2016 | Coastal flood | Serious | Expecting submersion of more coastal areas due to sea level rise | Residential | Commerical | Food and agriculture | (37.380755°, 128.660951°) | (35.907757°, 127.766922°) | |
| 945 | Jeonju City | 44194 | South Korea | Jeonju | 2016 | Heat wave | Less serious | Health Vulnerability | Health and community | (35.8242°, 127.148°) | (35.907757°, 127.766922°) | |||
| 946 | Pyeongtaek City | 44200 | South Korea | Pyeongtaek | 2016 | Rain storm | Less serious | Landslides, river flooding, flooding homes | Residential | Emergency services | Transport | (36.992108°, 127.112945°) | (35.907757°, 127.766922°) | |
| 947 | Kaohsiung City Government | 31112 | Taiwan | Kaohsiung | 2016 | Rain storm | Serious | Rainfall intensity brings more flooding and water-soil complex disasters | Transport | Emergency services | (22.629705°, 120.343804°) | (23.69781°, 120.960515°) | ||
| 948 | Kaohsiung City Government | 31112 | Taiwan | Kaohsiung | 2016 | Cyclone (Hurricane/Typhoon) | Extremely serious | The increase in both frequency and intensity of typhoons attacking Taiwan poses challenges to the contingency and recovery capabilities of disaster prevention system | Transport | Residential | Emergency services | (22.629705°, 120.343804°) | (23.69781°, 120.960515°) | |
| 949 | Kaohsiung City Government | 31112 | Taiwan | Kaohsiung | 2016 | Extreme cold days | Less serious | Under the situation of extreme temperatures, cardiovascular disease is a more possible cause of death than respiratory disease | Food and agriculture | Health and community | (22.629705°, 120.343804°) | (23.69781°, 120.960515°) | ||
| 950 | Kaohsiung City Government | 31112 | Taiwan | Kaohsiung | 2016 | Extreme hot days | Less serious | Aggravate the spread of insect-borne diseases such as Dengue Fever, Scrub Typhus, Japanese encephalitis, etc. High temperature may also extend the spreading period or area of these diseases | Health and community | Energy | Water | (22.629705°, 120.343804°) | (23.69781°, 120.960515°) |
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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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