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Sherburne County Multi -Hazard Mitigation Plan, 2020 <br />VULNERABLE POPULATIONS <br />There has been an increase In the older adult populartlon. Extreme weather events cause a range of health impacts <br />and disruptions that vary across population group; The vulnerabkty of a group is a function of its sensitivity to a harard, <br />exposure to nsks, and capacity for responding or coping with the impacts. Children and older adults are often identified as <br />groups vulnerable to climate change: threats, including extreme weather and natural disasters. For example, physiologically <br />these groups have a louver capacity to tolerate extreme heat and are often dependent on others for transportation to <br />cooling centers These groups are atso often critically dependent on others during a disaster, such as needing help to <br />evacuate during a flood or wildfire, or to find alternative housing if displaced. Planning for the specific needs of vulnerable <br />populations strengthens, local efforts to reduce the impact of extreme weather -related events. Population trend data <br />provided here for HSEM Reg eon 6 are intended to highlight the changes in two key demographic groups for the region, <br />but planners and managers should also consider future changes in other populations of concern. such as those with low <br />incomes, immigrant grc-.)ps ind-eer,*-is peoules pe^ions with disabilities, or vulnerable occupational grr aps (such as <br />outdoor workers): <br />• <br />2015 050 1 clian a 015 20!io Chan <br />1.274,638 1.616.464 +27�5 585,000 1 1.039.608 +78':e <br />The f0ow-ng case study is intended to illustrate the links between climate and weather and natural disasters, Acting as <br />a "fomsmg event," the case study demonstrates how a previous weather -related event (i.e., drought and extreme heat] <br />impacted Lmportant economic drivers. environmental resources, and population health. Then. the Climate Projection Data <br />section compares weather data from the case study with baseline and projected weather data to show the possibilities of <br />future disaster events. This case study highlights the relevancy of climate projection data for understanding future climate <br />and weather risks m Mmritsota. <br />EVENT: EXTREME HEAT DATE: JULY 2011 <br />The Extreme Heat Wave of 2011 impacted all Region 6 coumies in addition to the rest of Minnesota and much of <br />the Midwest. putting nearly 141 million Americans under some level of heat advisory or warning. By far, the most <br />intense heat and humidity records were recorded In Minnesota, where Monneapolrs experienced Its most humid day <br />an record and tied the all-time record for a heat index (1 i9 degrees)_ The magnitude and persistence of high dew <br />point temperaturex and heat index values led rreteoraiagista to label the event a "humidity stofm". In the metro <br />area temperatures soared both day and night — two days. hit a maximum 100 degrees and 12 more reached 90 <br />degrees, whale a record of 80 degrees was set for nighttime laws. Due to the urban heat island effect, temperatures <br />in the metre, region are often higher compared to less urban surrounding areas, usually an average of 2 degrees <br />higher. However, during heat waves this temperature difference can spike to as much as 9 degrees. ultraviolet (UV) <br />monitoring showed dangerously elevated levels of radiation during the heat wave. which rate lead tact acute and <br />chronic effects on the skin, eyes, and immune system, anduding skin cancer and cataracts. The average UV index for <br />July 2011 (9 71 was the highest for any July since 1994, The UV index for days during peak heat intensity were above <br />10, a level associated with a very high risk of serious health effects. <br />51.. , , <br />Page I L - 6 <br />