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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1301 | Prefeitura de Campos de Goytacazes | 60279 | Brazil | Campos de Goytacazes | 2016 | Heat wave | Less serious | O calor, principalmente nos meses de verão é intenso no município, uma vez que escassez de chuvas intensifica o fenômeno. | Health and community | (-21.832284°, -41.268354°) | (-14.235004°, -51.92528°) | |||
| 1302 | Prefeitura de Campos de Goytacazes | 60279 | Brazil | Campos de Goytacazes | 2016 | River flood | Less serious | Por estar localizada na jusante da bacia do rio Paraíba do Sul, o município por vezes recebe um grande volume de água oriundo das outras regiões da bacia. | Water | Health and community | Residential | (-21.832284°, -41.268354°) | (-14.235004°, -51.92528°) | |
| 1303 | Prefeitura de Campos de Goytacazes | 60279 | Brazil | Campos de Goytacazes | 2016 | Vector-borne disease | Extremely serious | Os casos de dengue e zika vem aumentando no município e os vetores dessas doenças estão se disseminando com as alterações e mudanças climáticas acontecendo. | Water | Health and community | (-21.832284°, -41.268354°) | (-14.235004°, -51.92528°) | ||
| 1304 | Prefeitura de Campos de Goytacazes | 60279 | Brazil | Campos de Goytacazes | 2016 | Salt water intrusion | Serious | Com a alteração na vazão do rio Paraíba do Sul, ocorre, como já observado no município, a salinização deste corpo hídrico. Campos está na jusante da bacia e acaba sofrendo com a inconstância do regime de chuvas. | Water | Health and community | Food and agriculture | (-21.832284°, -41.268354°) | (-14.235004°, -51.92528°) | |
| 1305 | Ville de Salaberry-de-Valleyfield | 60680 | Canada | Salaberry-de-Valleyfield | 2016 | Drought | Less serious | (45.250091°, -74.133086°) | (56.130366°, -106.346771°) | |||||
| 1306 | Prefeitura de Feira de Santana | 60287 | Brazil | Feira de Santana | 2016 | Drought | Serious | A seca gera a escassez da água e torna inviável a irrigação do solo. | Food and agriculture | Health and community | Water | (-12.259727°, -38.964661°) | (-14.235004°, -51.92528°) | |
| 1307 | Prefeitura de Feira de Santana | 60287 | Brazil | Feira de Santana | 2016 | Heat wave | Serious | O aumento da temperatura provocada pelas ilhas de calor somada as mudanças climáticas geram desconforto e desequilibrio na saúde física e emocional | Health and community | Food and agriculture | Education | (-12.259727°, -38.964661°) | (-14.235004°, -51.92528°) | |
| 1308 | Prefeitura de Feira de Santana | 60287 | Brazil | Feira de Santana | 2016 | Rain storm | Less serious | Aumento do volume de água gerando inundações de superfície e afetando as comunidades principalemnte as que moram próximas as lagoas. | Health and community | Transport | Energy | (-12.259727°, -38.964661°) | (-14.235004°, -51.92528°) | |
| 1309 | Prefeitura de Rio Verde | 60340 | Brazil | Rio Verde | 2016 | Drought | Serious | A falta de chuva afeta diretamente a produção agrícola que é um dos pilares da economia local. Naturalmente nossa região já possui um clima seco, com a ausência de chuvas essa característica se agrava ainda mais, causando problemas de saúde principalmente no sistema respiratório. | Food and agriculture | Health and community | Water | (-17.968494°, -50.489185°) | (-14.235004°, -51.92528°) | |
| 1310 | Prefeitura de Rio Verde | 60340 | Brazil | Rio Verde | 2016 | Land fire | Serious | Incêndios são comuns nos períodos não chuvosos da nossa região, porém com aumento das temperaturas e aumento das rodovias as queimadas se tornaram mais frequentes e mais perigosas afetando a fauna e a flora e se aproximando muitas vezes da zona urbana. | Food and agriculture | Transport | Emergency services | (-17.968494°, -50.489185°) | (-14.235004°, -51.92528°) | |
| 1311 | Prefeitura de Rio Verde | 60340 | Brazil | Rio Verde | 2016 | Lightning/thunderstorm | Serious | A incidência de raios e chuvas fortes vem aumentando nos últimos anos causando danos tanto na zona urbana, quanto na rural. | Energy | Commerical | (-17.968494°, -50.489185°) | (-14.235004°, -51.92528°) | ||
| 1312 | Prefeitura de Tupã | 60356 | Brazil | Tupã | 2016 | Flash/surface flood | Extremely serious | Dano ao patrimônio público e particular, impedimento de circulação de pessoas | (-21.934002°, -50.519586°) | (-14.235004°, -51.92528°) | ||||
| 1313 | Prefeitura de Tupã | 60356 | Brazil | Tupã | 2016 | Extreme hot days | Serious | Aumento do risco de morte em grupos de risco. Maior gasto de energia com refrigeração. | (-21.934002°, -50.519586°) | (-14.235004°, -51.92528°) | ||||
| 1314 | Bogotá Distrito Capital | 31154 | Colombia | Bogotá | C40 | 2016 | Heat wave | Extremely serious | The heat wave directly affects the human health and their welfare. Also it destroys ecosystems and affects wildlife. | Health and community | Emergency services | Food and Agriculture | (4.598056°, -74.075833°) | (4.570868°, -74.297333°) |
| 1315 | Bogotá Distrito Capital | 31154 | Colombia | Bogotá | C40 | 2016 | Flash/surface flood | Serious | The surface flood directly affects the human health and the transport services | Health and community | Transport | Residential | (4.598056°, -74.075833°) | (4.570868°, -74.297333°) |
| 1316 | Bogotá Distrito Capital | 31154 | Colombia | Bogotá | C40 | 2016 | Rain storm | Extremely serious | affect people who are settled on its slopes, which most often are poor people, vulnerable women and children. | Health and community | Food and agriculture | Transport | (4.598056°, -74.075833°) | (4.570868°, -74.297333°) |
| 1317 | Bogotá Distrito Capital | 31154 | Colombia | Bogotá | C40 | 2016 | Forest fire | Extremely serious | Forest fires destroy ecosystems that have high ecological value for the territory; consume water and resources to extinguish and affect air quality. | Health and community | Emergency services | Health and community | (4.598056°, -74.075833°) | (4.570868°, -74.297333°) |
| 1318 | Bogotá Distrito Capital | 31154 | Colombia | Bogotá | C40 | 2016 | River flood | Extremely serious | River floods affect people who are settled on its slopes, which most often are poor people, vulnerable women and children. | Health and community | Residential | (4.598056°, -74.075833°) | (4.570868°, -74.297333°) | |
| 1319 | Bogotá Distrito Capital | 31154 | Colombia | Bogotá | C40 | 2016 | Landslide | Extremely serious | It occurs in areas with poor and large families with many difficulties to fully recover in the future | Health and community | Residential | (4.598056°, -74.075833°) | (4.570868°, -74.297333°) | |
| 1320 | Bogotá Distrito Capital | 31154 | Colombia | Bogotá | C40 | 2016 | Air-borne disease | Extremely serious | Air-bone diseases directly affect human health, especially children; It has high costs. | Health and community | Emergency services | (4.598056°, -74.075833°) | (4.570868°, -74.297333°) | |
| 1321 | Frederikshavn Kommune | 60577 | Denmark | Frederikshavn Kommune | 2016 | Groundwater flood | Less serious | Damage to properties and infrastructure | Water | (57.442711°, 10.521006°) | (56.26392°, 9.501785°) | |||
| 1322 | Bogotá Distrito Capital | 31154 | Colombia | Bogotá | C40 | 2016 | Hail | Extremely serious | Hailstorms are occurring more frequently in the city affecting mobility, infrastructure, housing and welfare. To recover to this phenomenon is often very slow, directly affects the dynamics of the city and demand immediate attention of emergency services. | Commerical | Transport | Emergency services | (4.598056°, -74.075833°) | (4.570868°, -74.297333°) |
| 1323 | City of Salvador | 42120 | Brazil | Salvador | C40 | 2016 | Rain storm | Serious | Health and community | Residential | Emergency services | (-12.97304°, -38.502304°) | (-14.235004°, -51.92528°) | |
| 1324 | City of Salvador | 42120 | Brazil | Salvador | C40 | 2016 | Heat wave | Serious | Water | Food and agriculture | (-12.97304°, -38.502304°) | (-14.235004°, -51.92528°) | ||
| 1325 | City of Salvador | 42120 | Brazil | Salvador | C40 | 2016 | Coastal flood | Serious | Residential | Food and agriculture | (-12.97304°, -38.502304°) | (-14.235004°, -51.92528°) | ||
| 1326 | Distrito Metropolitano de Quito | 42178 | Ecuador | Quito | C40 | 2016 | Air-borne disease | Serious | Respitarory diseases | Health and community | Emergency services | Health and community | (-0.2333°, -78.5167°) | (-1.831239°, -78.183406°) |
| 1327 | Distrito Metropolitano de Quito | 42178 | Ecuador | Quito | C40 | 2016 | Forest fire | Extremely serious | Biodiversity loss | Food and Agriculture | Health and community | Water | (-0.2333°, -78.5167°) | (-1.831239°, -78.183406°) |
| 1328 | Distrito Metropolitano de Quito | 42178 | Ecuador | Quito | C40 | 2016 | Landslide | Extremely serious | Damage to homes and infrastructure | Emergency services | Health and community | Residential | (-0.2333°, -78.5167°) | (-1.831239°, -78.183406°) |
| 1329 | Distrito Metropolitano de Quito | 42178 | Ecuador | Quito | C40 | 2016 | Flash/surface flood | Serious | Blockin roads | Transport | Health and community | Education | (-0.2333°, -78.5167°) | (-1.831239°, -78.183406°) |
| 1330 | Metropolitan Municipality of Lima | 31170 | Peru | Lima | C40 | 2016 | Coastal flood | Serious | Energy | Water | Transport | (-12.046374°, -77.042793°) | (-9.189967°, -75.015152°) | |
| 1331 | Metropolitan Municipality of Lima | 31170 | Peru | Lima | C40 | 2016 | Drought | Serious | Food and agriculture | Health and community | Commerical | (-12.046374°, -77.042793°) | (-9.189967°, -75.015152°) | |
| 1332 | Metropolitan Municipality of Lima | 31170 | Peru | Lima | C40 | 2016 | Heat wave | Serious | Health and community | Emergency services | Residential | (-12.046374°, -77.042793°) | (-9.189967°, -75.015152°) | |
| 1333 | Metropolitan Municipality of Lima | 31170 | Peru | Lima | C40 | 2016 | Landslide | Serious | Health and community | Transport | Emergency services | (-12.046374°, -77.042793°) | (-9.189967°, -75.015152°) | |
| 1334 | Metropolitan Municipality of Lima | 31170 | Peru | Lima | C40 | 2016 | Heavy snow | Serious | Health and community | Emergency services | Residential | (-12.046374°, -77.042793°) | (-9.189967°, -75.015152°) | |
| 1335 | Municipality of Curitiba | 31156 | Brazil | Curitiba | C40 | 2016 | Rain storm | Extremely serious | The occurrence of this climate hazard may probably have a serious impact on the urban infrastructure, such as the transport system, electricity supply, water supply, waste collection and others essential urban services for normal city progress. | Transport | Energy | Residential | (-25.431063°, -49.264693°) | (-14.235004°, -51.92528°) |
| 1336 | Municipality of Curitiba | 31156 | Brazil | Curitiba | C40 | 2016 | Severe wind | Extremely serious | The occurrence of this climate hazard may probably have a serious impact on the urban infrastructure, such as the transport system, electricity supply, water supply, waste collection and others essential urban services for normal city progress. | Transport | Energy | Residential | (-25.431063°, -49.264693°) | (-14.235004°, -51.92528°) |
| 1337 | Municipality of Curitiba | 31156 | Brazil | Curitiba | C40 | 2016 | River flood | Extremely serious | The occurrence of this climate hazard may probably have a serious impact on the urban infrastructure, such as the transport system, electricity supply, water supply, waste collection and others essential urban services for normal city progress. | Transport | Energy | Residential | (-25.431063°, -49.264693°) | (-14.235004°, -51.92528°) |
| 1338 | Municipality of Curitiba | 31156 | Brazil | Curitiba | C40 | 2016 | Hail | Less serious | The occurrence of this climate hazard may probably have a serious impact on the urban infrastructure, such as the transport system, electricity supply, water supply, waste collection and others essential urban services for normal city progress. | Transport | Energy | Residential | (-25.431063°, -49.264693°) | (-14.235004°, -51.92528°) |
| 1339 | Prefeitura de São Paulo | 31184 | Brazil | São Paulo | C40 | 2016 | Flash/surface flood | Serious | São Paulo is situated in a region with high rainfall and floods are naturally usual. But the increase of the frequency and intensity of them cause much more damages. | Transport | Commerical | Residential | (-23.5595°, -46.738229°) | (-14.235004°, -51.92528°) |
| 1340 | Prefeitura de São Paulo | 31184 | Brazil | São Paulo | C40 | 2016 | Heat wave | Serious | Tropic of Capricorn crosses São Paulo, what means it is a region of transition of tropical to temperate zone. Average temperatures have increased almost 2°C since 1940, and heat waves are much more common. | Health and community | Transport | Energy | (-23.5595°, -46.738229°) | (-14.235004°, -51.92528°) |
| 1341 | Prefeitura de São Paulo | 31184 | Brazil | São Paulo | C40 | 2016 | Drought | Extremely serious | The 2014-2015 drought experience left clear that water supply may be severely affected because of new sources scarcity. | Water | Health and community | Commerical | (-23.5595°, -46.738229°) | (-14.235004°, -51.92528°) |
| 1342 | Prefeitura de São Paulo | 31184 | Brazil | São Paulo | C40 | 2016 | Vector-borne disease | Serious | São Paulo suffers already with dengue, zika and chikunguya virus transmitted by mosquitoes, and increasing heat may increase the presence of mosquitoes and other vector borne disease. | Health and community | Commerical | Residential | (-23.5595°, -46.738229°) | (-14.235004°, -51.92528°) |
| 1343 | Daejeon Metropolitan City | 44183 | South Korea | Daejeon | 2016 | Extreme hot days | Extremely serious | Health and community | Emergency services | Residential | (36.350412°, 127.384548°) | (35.907757°, 127.766922°) | ||
| 1344 | Región Metropolitana de Santiago | 31180 | Chile | Región Metropolitana de Santiago | C40 | 2016 | Heat wave | Less serious | Prolonged periods with temperatures close to 40°C. | Water | Health and community | Food and agriculture | (-33.44889°, -70.669265°) | (-35.675147°, -71.542969°) |
| 1345 | Región Metropolitana de Santiago | 31180 | Chile | Región Metropolitana de Santiago | C40 | 2016 | Flash/surface flood | Serious | Floods with high sediment load, both in urban and rural areas. | Water | Transport | Energy | (-33.44889°, -70.669265°) | (-35.675147°, -71.542969°) |
| 1346 | Región Metropolitana de Santiago | 31180 | Chile | Región Metropolitana de Santiago | C40 | 2016 | Forest fire | Extremely serious | Fire in outlying areas of the city. | Health and community | Food and agriculture | Emergency services | (-33.44889°, -70.669265°) | (-35.675147°, -71.542969°) |
| 1347 | Región Metropolitana de Santiago | 31180 | Chile | Región Metropolitana de Santiago | C40 | 2016 | Cold wave | Less serious | Prolonged periods with temperatures close to 0°C. | Food and agriculture | Health and community | Emergency services | (-33.44889°, -70.669265°) | (-35.675147°, -71.542969°) |
| 1348 | Región Metropolitana de Santiago | 31180 | Chile | Región Metropolitana de Santiago | C40 | 2016 | Drought | Serious | Significant water shortages, with direct impacts on the population and agriculture. | Food and agriculture | Energy | Water | (-33.44889°, -70.669265°) | (-35.675147°, -71.542969°) |
| 1349 | Comune di Lucca | 36477 | Italy | Lucca | 2016 | Atmospheric CO2 concentrations | Extremely serious | These two hazards are for us strictly connected: the Municipality of Lucca has a particular geographical conformation, that lead the territory to hold back polluting emission: from some local studies conducted by the regional environment Entity protection, in collaboration with some european projects, it's emerged like the principal cause of PM10, PM2,5 and NO emission in our territory is home heating and transport services.On the other side, also CO2 emission is a topic fou our administration that try to face it overall in which sector that majorly contribute to their emission, mainly building contruction and vehicles circulation. | Energy | Residential | Commercial | (43.839917°, 10.617374°) | (41.87194°, 12.56738°) | |
| 1350 | Mwanza City Council | 60245 | United Republic of Tanzania | Mwanza | 2016 | Flash/surface flood | (-2.51643°, 32.917452°) | (-6.369028°, 34.888822°) |
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Description
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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