A quantidade mais relevante para avaliar os impactos dasmudanças noníveldo mar nessas comunidades éo aumento relativo doníveldo mar - a mudança de altitude entre a altura dasuperfÍcie da Terra e a altura dasuperfÍcie do mar.
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wVTRJCZ0Vu0zo0Uflfyv/LHewFSgVKm8LKgoChBBFEJvE+3aFl2hTpKKKYo2TU4qVT5iQzordpnRoo/K/l1HFUXF2rkRaLhBQnbJjiQVtAXkOGp1imoIts1sojakmhN4rdpnRoo/K/l5Q5DDmCwi+6CF42uOJCjMskAcZVwndR5BtE2KdYqmEOYWynKg+U0btQ4rdpnRoo/K/mMrgNDpL2gqLt1BBFgcmsypxgTmaHIuK5W2WQtkLlFQUzYSsxTTKqNTKcoNgBDit2mdGigQcV/NBhOqHLSrLY2BsDqDoWZcotcCNrEKEQICFvBRCzJpRTUzZcoWeYazordpnRciVQaBi/55YZpA+m9q4XIUrMmm0i0wg8KU0Iy1A78lRbNchRuAAOVuFTIQQs7dM6K3aZ0aKPyv6FMSRn9SFwpUoqU16zBZpt0lr9yUUbSU03cgioRQR4ZsW2iVwm9NbtM6NFH5X9Bp9v3ITSjuiNINmZXNLYUJm93LwdzmMSSVvM7Z0VKleWoWKb01u0zo0Uflf0CJDaZnMU2p73bam2FQoKELwhTKyEKNrOCAlQsqyrKZaI0N6a3aZ0aKPyv6UJrRHUY0goJzU2VmWcIOCeUDvJQlb2lFErMmygENLemt2mdGij8pVqjaVP1sXkoVhXp/wA+jRY6nVa1hhEKN7hyDk0qJTmKVKm0qUUdkSV5DEANTRJCrdqn0aKPyl9SO0e36ds/+fTr1KbvWNUSpFoQ0NcvUWaUQi0i0lSVmK5RlBsoMFwotkKgpoQ4q9pr4b6gXqBeoF6gWHdmxS+otJpCsz0PpwOX+fSotcxzQxDi/m3i0oOzBRIyrKpQWVZkHLMpU2ClZ1KadlDV7V7V7V7VtYwR9jh5Aa0SpU/zaVUU6TsQ2qRuovCjRvcOCDgjfMs1w4qUCgVmWawsSVJUlAolSZkqSsxUlZipKly3P82ps2ixN2EqVspU34QtNhfZGNAToUoOQNmggWKzKZvFwoRCCj+fwW1RK3W6kWEre0/jjaFlQbaFKnQULToAUXCJ/neKdKnkplsVnMzUtgWnNT7QaCnjKXVA1BmZNbmcm73yrKsqDbTaQs6G6LgpUrMs69RTKzLNaVNsylTo/8QAJhEAAQMDAwQDAQEAAAAAAAAAAQACERAwQAMSMQQgITIUIkFQUf/aAAgBAwEBPwHsa3cj47hlG40I2xim4xu5HnFFs3BjC2br9PaMUWzdLiVFsYhvA3YwihenOKF9kfq2GJ7oxihgeYikqazflT3FCpu7pXhFn+KYwwO4oVN8Ohag8pmQUKm+E4KMgoVOBOSUKnAHGSUKnBYGkLU+qYZvRYKFThOErRZ+JzduKUKnChM+vkJ+puxSm1OHuPdOAU2pw/GMVpM3L46+Ontg4gURfPaV03Ndf3xeb5Q7Cum5rr++MGyJuDvK6bmuv740rdvtjvK6bmuv7ZAUeJrKlTbK6bmuv75AMImUW3yum5rr++VvGyL5XTc11/f+SUzULOF8ly+S5PduM5X5cn+G4RRrCSthW04P/8QAJREAAQMEAgIDAQEBAAAAAAAAAQACEQMQMUASMCEyBCBQEyJB/9oACAECAQE/AfoTCz+AE+7cdDzCH4DU+7cdFRC87rU+7cdDhKAjVPW1Pu3HTM6p6wql2Y6YXMY3wqiCJTMdRpiZU7I+rVUTUUzHXx3mqqmoymY7HCVjcCqpqKp47Sf+oefrGsFVQCcqeO3iFEWiewdoVbCEBOVL173YlU3SE7YCrYvTx3uTTshV8XpeugGAHZCr4vR9dB8zshfIxej66EJ3hUzyKf41gvkYvSH+dIeFU8oeDqhfIxeh66RMI1C5Bp1QvkYvQ9dIriJ1gvk4vQ9dM6wVZvJfyX8lTECPxB9Wp92Y1T41Gp92Y1iQFOk1PuzGsWgpzIPjSan3bjYcPCF47Wp92Y2CJXFT3tT7sxtc5dHe1PuzG1I5d7URK4BcAh42uImfzS1OfCaSUfC5qVI0f//EADIQAAEDAQcDBAEDBAMBAAAAAAEAAhEhAxAgMDFAcRJBUCIyUWETQoGRBCMzYBRSYqH/2gAIAQEABj8C2NPGSFJya4AncIYbPY6IZE46bmFrlQMoYAncIYbPYwxS7XZzn037U7hDDZ7Enuq7aVTZ0VcumWE7hDDZ7HQo9XhRs6ZITuEMNnsaOptY2suU4qYKXUuooU4wncIYbPY1FUBkT4+coJ3CGGzu/tiSvyHpI7hC0TvwwGjv8p1naCHty6KuTGAR4XS6ccHEE7hDDZ39H4yxp/UUfxmR06pqb9jZaeAG7Cdwhhs7vUYTupw0TmnvovxvMOajaN9re+ZVGL48FVGl84tc2BgCdwhfMXWV0PEr2qApLaqGCM6RsJ2utb+84aX0Vbq447r7wNTuELp/Suj9KKstoCHr68FotL5zo0ygncIXdPVRSNbrLaR2XSzVEYa7+iicP1swncJt0dK9l1ltiZlQdcdcEhTt4VMdMckVvpjCdwm3BgHK/dFWW20BXUQvpT4WuTGRGAJ3CbcC6jkXCrrrLcSgo21NlXNopvCdwmqipCl0QiQrOhG50RDgZU+FjJrirgCdwm8XSTC6brLd8ZWuCMemZrdrfXJpkhO4TeLgeyJ7Iqy3UsUP0v1xQ0L2qMfpC9pXqEZRhs4Nbo75lMgJ3CbwtFoVpdZbomJXTAbHwnD/AK91GOW6nuvebtFBEKQKKQFUXPXvKrVQoWl2imLvSFUJ3QJF09Juo1S6ikBVbhprdOYE7hN4UGi9L5VSbrLdQWyuoCCniDLu6qqYul4kKbM/svtTVAuFU6VM0+E19zl70AwyFTUqRqu6lNPdCTIKgd0GsoUfVqrRH/4jUr1LpZQBdJKDWUKHUZBVNFVUulqlyi+gv+8QTuE3haKroUa3WW+cO6qqKTfpRU0u6dFVPuZc5FC5x+FqgmoIFC0bUXPUhdD6hOb2KPwgU17boHa6Z0vphkqik4aIJ3CbwohVWt1lfrdU7o/C6j2vlQQCoaA3hSvaJXSUR8rRBnxdQa3SpUhUACErpU/Ckr5CgMaEQO6JgGV6WNbwpmqhzQ7lAQG8L5H2qADi+cOuGDdqq3t4TuE3jDZc3dIcW8IubaO6h9r8j/0o2tq51dBKd/TuMjtO5l/tQ/FH2pUDe1vpf95E3ze3hO4TeMHp1Vl+Tp/a/wDBZ+9ycwfCYmcbkgqeqpRDVXZ0yqqqpfVBTNLzOUE7hN4w2V3obLii99k5zz3TgWFvaqNlaMMdinf1FoI+BuYs9V/cmVCqqFV8HoioOUE7hN4w2XO/kL1ap0KvhKqik6qbq4a3hO4TeMNlz4A5FMrTayL4yQncJvGGy58A8fScSO3hKXSvUtV94aYXcJnGGx58BKLWymtbrtaZ1bovnHS4J3CZxhsefAnp7oOKlQvUKL6yfVt63/ai6l9cATuEzjDY85vVav6EXNtQ7H1EUwwNVNo8NRLbYGMdE2lboKKnOnYQtLtbplTpfTAE7hM4wQHdJVl12nVmNn5QI9t0SByvTatJXS7VNqKr02jSV0GnKazraI7ro6gftf5WSodc62d+ylxm5xB0XW5w4X5ZogEGk6r/ACsXULRtFqoOqhekHVcqM7RVu1zdbtFK9OQE7hM4w2PObD/UEbSyoe4UNQP5myhwmAd037RVmobqvXataUys/dxi96JJTU3lDhQNO6/DZ+0XSFJu1XVlRh02kEZDuEzjDY85gb8r2yndZq7sntHvKm0oPlN4VmmcopgZUhdNpQo0/dMAMxcWP9pU2XqCkthWl34x7gg609ICaB3XTZCXHUqS3AKLTMpfIVcU5dL5VLyLwncJnGGx5zfe5VMqhhVeVUyoJKopJlelxCmar3n+VE0vo4qryqEi70mFVxKmTK97v5XvN0u0VIulVzNVrdTbUwhO4TOMNjz4UqO3fBXDXHQKu0BChUF1MATuEzjDY8+GPS504a5Nb67OirjogncJnGGx5v8Axh/qu6S6qlhnwEAD+EHZVNzMrW+t8KiCdwmV7LVarVaqx5uLT3ViGp7vgLrcJLkWj2v7eBLWmsps91TYTsYwUwhO4QwQrOpvsU8fSb9JsfpHguLpHiQncIYbO9lrNG3H/j2gDT2KL3mXu1Pg6INPfINcmNwE7hDDZ+KDidEXCYOTTfhO4Qw2fjBOGMdMcmi0zq4QncIYbPxgEQFXP1Vbq1vjN1wu4Qw2fjKqWZ0XxhjJjBVTe7hDDZ+NiFRTfTLlS3W6t9cmmCqpe7hDDZx46l3S5UzNFQXfWzCdwhhs4HkKKO8oZpm6l0HIqqYwncIYbPyVZyq3/WGuwdwhhs/JRRTkwdcWi0VM8J3CGGz8pA0UZtVGVTEE7hDDZ+UB7quRTNpkhO4Qw2dxe5flDW9HwuoeQBKgDfu4Qw2d1m35KhWzf/XkNUHHLrtHcLuu67ruu6s4ua8fpK/JIiE+0P6j5CXIRkVVMqc3suy7Lsuy7XQVNf5UDyBlUVNprdXZ08fHypn/AF/X/VgSKr1QqfCdK0uF1UPtEfF9Fpkaqm1//8QAKBAAAwACAgICAgMBAQEBAQAAAAERITFBURBhcaEggUBQkTCxwdHw/9oACAEBAAE/If8AghrmUTvCaMRCjda9CWr0Nd6OTQWydH6EyMdpBvZrYkYx5FbMkJp5ni7sykZPxKP0SkOCoaVGuBOOIWx6EOGJ+HcEwProe/BqsmZjZsUngVOqVmZsaaFvRmeF5ZPkxtJlfIbKNlPAzR9Xx30PwaohTXP8D5G7B76GUb8W7En2ZmBmQfPoTjDfYSrY8GXRkGEvPfgKWuxw0+By1LHgNUYMmS8HqMThMmEN4KbIgnQ1/pX2ZrJMUahD4E7Et6nwRsYaJyNzLg9pNL0HPoQn9wpIlG02mcJ+LlliVskoimcwsWfG8HD6Phvqfj9v+CncOexNOPw8Q9D3kTXBk1Ro2J5HsZnx38E8Damhxtj32K/oaVwMcoZNi0QjaF/RkPGjnw/GvCfscEKvRAKoajNupiMILPhutFPI7cEjDG454YPKIbFzMQS2ooW5sNhsq/BwCiMGqSKSo3jDwfS8N9T8fv8A8FymVoYxbeFjRksmYLsYGdjDbJswDtojsMmz0MM8jeTNCbRswQ2LOCbTQspcDwJVYJGVmyGPMGGcwSL5OKV6C09kA4g23x4JsNtsjcZp+vBq0uDMEL39ChQJnLYwJntyU2xpT2NNy2R21SkPr+O+r+P3/wCBslTQUbk35Tkqw8ZIwti6Hx4F2LYeteeAYhRfsbyhvoPRzY+QleRcmo0Y69jZKpGSGsm4lRyFSGyY6JBaHw1gWLZJigtGVwht9ioI/IkmLNIRrIxMcNDFoMlsjGNkBExKIqZLSfhWB9M+2Pp/j9v+AtCzmtoWc/4Z8KkPDMm8GDa7MVSJCwrGcidMEPWptO/EZKP/AMjtvQamhp5/8GaZCbag6/YhxGNLwbSU4OBeyqDZ6MpFMFzGfAEkwxJITw8rRBRs5WDHiiUEqehTUQmR+iFpm9DbMB9GxQshNz0KlLQQ9h5GeBkwRMU6CJvYlGiPr+G+n+P3f4LJFoMisWMCwbOBE1TN4Gm+C36NYHG/EwZ5HiHOf+RsVBJaMBOnIqVj2LbNfAs6GmvZXQzHI1aRD2IU78f/AMYnBmO4vh0hQztMXQpBqImSrF6G8Dp4ZdbbE42mN0sCfJyFkYytDesyY9wPihFGpwfX8N9P8fu+Hlp40yzktJgck1WRK3lBJb7n/PkYyC2yiisiTGyMWxpSyJgU5Nh0g1M7RKqjOycg1R9bGyI5F7RRmbG8HDDYwjQeh9jzfDjxshUjDHg+BbRosFEqzqXzZmNGuhroWULBUrKuxzmF0WYZZ2lBDUY3AVZEy0ZOQzbGuWJjGk+D6nhvo/giz0Sfvw9Nje+OPIkhUcBogmHnLNHjd/0hU2MoQkeza7g6iaMNQ+YPbMylGjBE8kedEg8Wy6jH1Hqj+NmBh8wj78E8Gx8ialTE8CGmPB68I/ERZ4YMmk/wl8Qe/B7oLgSTTEaEYnRCGGHodpg72yu+hO6JRvCFivBop2hqeRPh5MLZE8KNn0vDfV/CCf6+E5rRuKitqngIaeL/AFGpRlppj7QufL/poCYudqvlcglNPI2j1CwInwOWKbAwUJx5E1BBuDWxoKB02KgjexcyDwjLPhefB/A/H7OTgTYmn6G09DL4ErNMyaQ9BoN4GrgrRGtuh8hqElDEMTdwNF6LijjSEoJ56J90laZecBIs+DRluH1PDfV8RnMJ4+x4lKnsus/TEQIuj9t5EqU9f9MCWf0ZV5Y64gS7HGmJRicXYnx2UTGT5F+41wNoeUS0Z7IFaFENPgTw6PRuE5EbOjOYaOhmZtj86KXJmmIshOuUbcBXk8i/w6vDdwWtCaaYTbEqHhaDcQqaFSXQcljRmsnEmLDgzFC1VhU7h7GOUfU8d9MiLoSI0WRsiT0hJLs+5/DlnlJCWwpjWy299he2JCUjCaY8qiM+SR6PkbdEfDK7NNC7FNegi2iH6GoR2LQv9Dcjy+iyvY63nA1VsjuUbaM+L6MAq4FfApHdoYvQrXkSSaGkPSKKvkUNG2oXswvAl2KmmL7iHnbBaY7RYFIN4gokbLJtP9Epj70JAYJ9eG+mLaFEO2QwI8un3P4jpcvbG2ZWdo2jwNT2XQfjQtB1PGjlQqhVssST4FDvIpRbGwHSUhGzFyNE4J1kSZJiyyylRhHxE6EqxuEvG2PCL4ssjWB8x6OTQnNlZCHDKiHkSmrHSqICWMuYITDrS2NlDWaPwxb2PLOirBjgJ7ENDkyJn0vDfSORSZUuz0TJtrB9j+KkTRBVmhKGilkbKMshwVvgiBrmikNyW3+w1YFDWjdkdeTA0whqYpXQk2yERFHGWaeGaY8t4MsuBYC2IRh1KCZsTUMtnYuTwWq6IREQMHlnfofkLbAmWRHvkWoEP8BhWK2UvghXsaLqnPB2D5Voet9H2x9YSqISm+QqbJqqiQXZ9r+NkbnY0USXCJPYQkf4OCPBhwYwyHwRsJiwc6LeBuFbGFs0vY0NCNpFuSIQfo/9JfRazToOCWIM2idkvhTkY2YJGZIlESG5gUqswlgbbdHZof8AUQ8CzhbFtES2C1yVgnkS/wAGisSxDik5omUom7FZGiWguhatn1fDfU8YWjky0w8uvk+9/H4IGjZAap2U6+DjWRIpI9B4Y2eeRtGYQZW9CECejFaNFsSX7EMyn0G5NxDW/EwOefbG6Hry8dDd5G23DIk0PUeoxOg1UMyVyyXkVcFQY5uCCtETHzaImwqYFEOPp+G+oZ2MFfLBUcPZYhc4Ho7nP8nJEtDbR4EZU5Jk2dxgaG2BJsTkSiU6RMGe2bI/QeFfGuTPAmTpRODBNZ8cqRJmMycPeYRj2beTnImN/IjzCmVusCtjkstFGWJVSQI2K+4NqxwLQ2OvoOuJBCF7FuzkekXGOyjsyI+r56E4zBUoTVHkajh97+SnGQ3owV8D5lo3ga6F8E2EWKQthBYFwMjzj/MbwHTDWhQJ7D1aOVlPDgW0QhbRDZjQ0JSRjXswJV5Ypyg1XwNMlsYGk8FMVo5NjoGsRbHA60xIkNZtH35NVZIq3gdY4NfIwzlnYXC8EdDJOwy+PzyaBlbPcoiiNsyZ7PvfyqNKtlAErK0ujLQZaZM0jfIk9hIdtptDXuH2yjR0lQjSGxjTSqGySs3YaLbLDUPRswKzN+xDPTBh+GA6N+hrIhKx/pmoIYM7F7CzJkwfPZGPBrJnOCm4ZMmLKJMFt8lRYsix4PYIshloSWIy3vCED6vlkSGHIIoEcpIkcPt/ykOEaaZ7jVQTpGgbIEzjAoy2N5MiTWTGawKV7QR079kmadbFW8JMyHyDk0Ja2jZCFvBj2QrrDRpqbmGnTiG2bdw/Q0NRZx6NmQaefQ1yP4KhsFtY36EngVbFxkNpY1sQm6iaARht0efhPFeOkYnL5H0+BlGJU2PRFH9EJ1KM/gRUxvgzlT1EiBS2LlaGwkT1GHx+WRLS3sOK/GNMPC+//gv4TWsEOxYK2RtHBxPlC2MhwNJYGWPFWSI0zrRVEf8AgsENAkg3JbhopBZ+3sTIm0qdg20GylLHkLDMiS9BKE5WSUr09E9zheOtn1ZZFNmghUT32Ho0Z2L53LH7gUQ5W3nFKMryIIcwT9GVFdP2cWVM4ZaohZBBuBvFQiYryh9QmaN6GYl7OGyNNaMctn1PLdo2GZlT2e5yL7/5iljEpo9obcdBrnwRmjI7ssd1DJsaKbatCsj+QR9SoRZamkhWTOi/psyz/wAh1PojMaC7ezJfgQ5U3oSVW6Pqi1CEifYrohImDJTo/OYvXHRE2LkohaEPtp06mXBwmMyZTI1C6ex454yZuIkP7OSGxZhMZtspI9kdiUzge0K0DdLyGO0M2dGZVx8EfOiWY+v5akEwfA9EyvQe2f8Aq/OWTfnxpBfyVh0ahQdGcfFA+DUMRFz2ZDQMmeRvDfvDxA/YsqUHSB9Ekhlqxogw826T02hZZRo4KdDG87Q9IrGBZhREFdh+kg5L9DHupOUJPT50UzkKUkwfIZ7HKkRTQfIl0gxpTpHd8JzycO0JFwdj1hDrEoVp9wVk2NGwOwdgzAhuXyTkYMwD2IniH8hq78zU/veNjJsINUt3kMTMo6yLwzhgh1F+X/ksPX7HTpWEKkGcCiONZFLgv9iwqKbQz8NY9m/2NwLIs4ZsPsXZMDh9nUhIhyujX7DTRCLlmOio2GIInaEjyP8AZmK8jWOwQip2EvHh4vAfhG2k5Haf/pFXB4pQRUr/ADRqzMfmdQXHkxzPj+Ecq09IxdGU/wCSQ1QkzPBGKWizK8OTTyyNOBIyR3GbVyadDFsSURlgiJsWOBFUKeSM/A2kzHwhsJyMaN6GpoazkYdE5oNePBs/yJpNPcxMI7ZRQPBkVzDkn6hN6DbHIz5FofsRNRsI+40PpjmzkJvo+n+bE/t8ZnYi9DXYcyIBD0DlVHVK0yM6jv5LSqfAyQnCirH2jHqZyZ2ZDIt6JrasHZ7NjzhCbVY0UYnkGaEvplJZ8WuvHsZbbOMlXBxs48Qz4DVTNfAkYm6IwexqU1o3mO0xHicfUN2FRnjGEJxEZEWvIvQ8BiPY3XI/+B4ySKmSTHB9D82b7LxCLog0e0v5VAxi4tRyz50pcJpC2rRafY1g20x2mgmZZsZpnRmqRX0JK+zHJUMTFkNZmmMhBrIhGJOGDw4iqZraYtjxRGHsdmNHKRDyR+x+bQPK9nSQ52iZVnQU2zdFWBBgZ7H0vzZvuv6Cznxk+oNtoUvYsweBPIcayPoSGiaYjemK7M7hwOIImxY4FPQUL2QhUrMoo+Gexe2PP4mmMmxiOA6WYNt2OVaJ88oSTVgvYpGbYv8A+o5LCQ/ge2jhMXGzlMTYIcJ6OSPrfm3fZf0GGa2IfWL5YhTkNaZ/6PU2oS4E+DBqUEgicw/8IWBqldEp07IclLxBoQ+fCKQM4EmQ1jZpks2KlIq6CVVNIjWUMkiCq3gcIs9CVV4GaMCaYyYK9kU9mv8ANo+w/oHIrAjxm+kPjbbfyevHBYNblMcMS8o2FjIrwJJoea0YhbdkGsnJNHMIHwcKetC+y8kJr48NEZBr/PDccGriJnIzR7LL4Ef1BxRkeRW9hpX0EybzS1CEOccDxlXqCR5GA1d6/Pg+4/ocoTkLnDjomVyz9wfmEnA2i2OOjNk7GIyWGUvYjyeCbYk8iRVoYS7HkufF6K68HLsTYeV//ZGw/wAC2fIl5Qw0MLLGLnIhrmKuuLg2xpimlPlBLfV9mJPCQiWRbtxBXTHsaImSUy1wLKysn1/z4PsP+iyYSCPhk+xxPzRWU+n+KwmtwRK3hmDIan5Jx6OJc9HEQWhw0FY3HKTQjF5qgnXUZKnIRdjrwPKxgdaMHoceicFgp9ZJ3sV8GVsq5ZmsCamBOkGE/BiKDxM2Umxl7GMmchtBGNB2SUMRMOhhOAdquzkehLsNpkW9jH1fy5G2o56G0229rX/T0TYQc3B64HOSXNC1dEo0owNjAtvRI4LhD7CfnofOQNMchWn+hGn+4bVXTXhQicD0wFgTW9eyBBz5isyVwRHbYsu3yFa/+g3shNohi8HTESvvuFHoNjiZdCXkWY4w2Nk/kWQng1GN5wh59EehHgsDZZK9OSG1y8RmcmbCWRgsGPWh4D1ohBV0NOjSsYWDmBzPsjHbOsoXVlKOq+yVM0TwwZFRHOOykyMYWJ9fmyfef9ZK9InmeQkP5GWUr0KTFth/ESZIK9oxEfPgLiG2OXqHIuuv/XjAbLflo8bGf4DoR/mBQw7Jz4syMecjYli+xNq0NXdL0WGDI/g35PgwMSJlgqwv2JvnQ+glNtZMgnaPhHsq0bHHsjP0b0Ibfg6l40MBS9i9RIYMqBCUytD7CJL2cyH9hY0zTPDfSfj95/0Yo22yYUO0ViuIMnWaBZVSeWP0PJ59I9IIKSMOKONu03yFRphfH7ppdavRFoCVPoGwRVRz47bH5m0Og8gimz2359DRQLYWjMgqeCbIxRsSOlkedMokULPBZDTsGtldx/gusAtqjeTwJpjkTBppiyZOhT0GSQ8sQaK8H/gqQbnmc5GRlVfA0l/wWR8m9jIJvKPgH0PDfSfj9p/0VTUcEvC/2Nx/Jj6ub0L4yvklWjsqiS0mxj1o1yXSbtn0oMdWz7DYo5hsu7Tjyji/7EEb/ZcznT8MK34H3HMbkZyafjjYv/v4dZkQtOuCPTQw/Nidgz0EwMamGIM5GUeCNHOBsQlLa0zQZWcEXwJMNqZ32Rb8Z/RBFImsbHg/Q1ksfsax4ffgZxbMYwvQ+rw0Uw58FFdy9PZg8bEfMyMw+Hw30n4/af0rIY7TsLGp6FRr/SmAqOmF4JjkGSouELkQNI7wiEdGu8zZoS8MU1gnRXyO7krrTHhghQdVMT+yPkfZszCFEJoPTEcskA8cNkto+TOxpaKOafRytivAJazs+l4b6z8ftP6VpPD0OX+NJjEKtHwVwEvvwKAwSehvobkJTx4Bb5MlUKWU5NhmD1gmjVGmYO3QldCh7QjdyNyNhI40NZkPQqvxK6aaEhQqdQwKy2Ncx9jShOPY7z0MnpyfU8N9Z+P2njSyJKg248aQu0log+n9A3wAxpgaZvwUBERjZjx3MTyZlDdCV2ijDcG8mEehpiMeaTcmFO3Yl2RgcE+xxvXiJHh0WvDAY4iNNIyFwsTUSPQWPYzvAnO+zVP5FT0Mvg8doDQ9A9A9A9AZOTTy8IaGkkwIrin+kN2xj8RutsRYGi/0BknmT4FGAM9xC1TjJgWpFbTBUeheCJDrZmFwF0CmJWmNYMTJB1KcHoY85i4Gmcj66OjHpCw8MiE+yUW7GMtfAUwzSPffgdQlkS0Oxh9XwzPY9FfZX2V9i5jYtxMzy/P0BybdiUl6M7Rt/oW51okXK09GMaGSAYSfAuQlkWVR5FstMjbgRBrxra3+hpPDFJWkJA95IWgnXGjs2VttcceCTKRUbvI2oaQSc8CpIVx4T5Qsh5fg70ZWxrgVs+l4b634/f8AKqokZQ1VGVeRYX+jScbGa8F/qBeVyhPJKhNox7ZEr0P/AAooMTJRQJOEJq5NpQa4J2/Xg4TjBczktmBpoeEKkMNmNrgY5/BoI5LiSIZioNom6fjNco+t4b6n4/f/AKlKoPqyaxCQGmkhPHoRIyC/wTKEW1kYbrSekS2qN7OyDH8o7zTwdOXB5YY0+FSmWBMk/wBHIrg2GMYExiMUxTENJeRK8FVWIkM1hDtMqPsev9H2x9T8fv8A9W2rS6Mx3hEzMoqMnw8tGtDY6M9RKY0wYM2weqsSW1+hoqlE8/lwNXQXIaDa/wD0ovmk6H46+COj5PD9joeCujkqQwfXPtj6n4/f/q0+8+ibBnRY1lBCYmJ1CaIgpeHQniPxgN6HgzmWRyAJgjCe/A3lwkjLZYIpVonJrR8DGY60IPoyX/6ZcEd6OBRv6NndmDk0n2x9T8fv/wBY2klwIJpYi0OoTaE4wMeo9HJHIaOciWBboPJyKfAtTY1fkJW2Ouh08MP2Ro8mbKFdgofgNxDdDSDhY5Gm4GmvhHpk0N0a/DfU/H7/APWoTaI2d/B0JpD5CbTFkYIvJliXZ8mbvBQzTEN0zsF9GqToF2i2hRKqPesas9CdBEmaZJOeGseMwTnoRE86JEmR7ykKTAVwBIa/DfU/BtJVuFyJ5/rmNWgvKuUSf2kyvgTjO8binibLRbE3IKjnyZ5JryHFbxGixGtjrwstwIWht+jOYoiSUeyGsIjRoKRyOMGLI9dSEbdKbB/oTHjWGfx+G+p+CEjVMWGf69qqM1hkZb6eibRKOUy2RPEyx4K4F2FNvIvA1g7Ceci2P2jP1S6BxnBU8GEJ5lLAlvEHhIZHleJ3gZiyNLANMpzMsggeh2mFg+r4b6n4/f8A7HHNsSXbyZL2NNiGLIhoUPBgyZsm5IaYdolgW0rhi8KPawVpSU9Blmxlml2bHyEToufhuSMgYTzBwElkaPjw31Px+/8A2K02UpkVErb9CXkyNOSJGZ7L2ZWhIhqCBm2UNE6jtf6JNizwLOg3xDuoXyBOBsw02OcimxORSU1orWpmJEUyPreG+p+P3/7GwqLq1kzysc7LgKtgtnAykZQ1HUIbyQ/2YCr9jz3SRiGnWy90odyJxmzkjgxs6QmsZDWT9gmcEhepfDWT6h9sfU/H7/8AZWEdIw5BmgbITemhqjwZRnyOtM2sIk9Hsdp/pPbRyuEl8jMmLsP3gQdcjORWmW2yzEmzYi3x9Tw31Px+/wCNKK47Kdo9oKv711/XrYmCsSoqOtn+AwWRDTtGLfjQyNkciE6wPLJCUKpeBZYHghrhDJRp7GHNptYFl0KTwqVC8Bgl4b6H4/f8W4ZpdeJBuhVf17cVExp8cMSVpOaRL34Gk3gc8CUahviEmiXJ+gtcCNQYYQ00ujsguJeNXIZFGP2wdUiGsCV5Ei2RwwUgPW/JykJrD0en/B6/8Hr/AMHp/wACIjw+vCwrNjXdOyaN7X9hJVyTlr5Iu7EoNcjQ+hc5MPKED1kZLXJ8ojLF8QxYo0XpC1eJIkewXQeAhkaiaZhk2nwYaMEq9HoE6CdBOggJLoVdoV6DTOKi2aijNJEdojsjv+tencxa6jlSDZLBkQ22PakmhK7IuMMnYSEkslTrwNqcDLjJXyxxPCEieBrNjdMpY8Da6CezJsrgTCyz2KzsFVyyQ3sZds7g7bPcL2nuIYdG/ZnQ2PA7/WvHL4Co/wDIjAxyfClZ9DwGrNj2f6MivsqiauhMCxyNVbF2eSmmRTK/ZxqDHSuCgsjrMA3capkDsKLxpKI7l4ayhpvw0aCzEwSCsa6/rVkWT4MNdmXwKMD5cIthqJHSXmZ8L7LyJ5L4T4pi4LyJ02PgL2LuIuiITcMTmal8XI2bilKRX4+RY+myOQaZoMX9c9kRBZVWv2FltfAf3SLzQZSns1TbEwRqhmNLUyrI2ZWxU2RuaG9jIU6ZaQlLJjiCWaMPOhoDSxBuWBLDK4cQ+gpHmLqOBKEFkgmlXIkFRoY5OBqs/9oADAMBAAIAAwAAABAMMMNeGO4KQ3gdxOruZTuuC5uvqm4O6OMSwg8Bun230AAAMMMMQyw/XU98O6OrEL+rCvQ22iKeLt3eHekhY+utN8AAAMMMOFdWtkPxPdputTcY5KGBVnOWIhI7ZcP5IL68EPcwwgMMMPawyV4ZWcOYgn5cu59XZqgdnxMpdr7iTCJv00nfBSCMMMNFvRroYiD9ijeRYzBsBEpi2+uDT8oBgyIIKnWv/hSgMMMMPgcQjJuAYB+JyDBMH2wdpMex4UfRy7DSzPM811ACAMMMMMN8KG+Ut3nBA3d7+v58uDRoQ4oLCwOL4SMiXPcAAAMMMMMMOOTmFL1XBaTe9UNEXNQyfxUB4XmgjS6eqR9UAAAMMMMMMMMCjjABcQOuow9XM6sdJcG27LCTzLBSGrRR8AAAMMMMMMMNHc2vHB0svVOuJS2LcGCa1dwY7i7rTfwdSAAAAMMMMMMMMM5zntwey2y9S58qdMGuWc31UBYKxgz4ZicgggMMMMMMMMMsOTs7+Prcb32y0oAixt213nDO+7SvWXN2BgAMMMMMMMMMMNOfzFNIjSbApfYYry/2Iz0og2JSIPzxzDSAMMMMMMMMMMNF0tHu6sEw9Ppn/PDkr11ryEM5p8HLJ4AAAMMMMMMMMMMMN/pKcqRzPT/NM74GRYGW+mgZIrP/AOu2AAADDbLLLTLHbPDl51wdr0XT43PXIkxdM3nmxHSMar/9UAAADDzHZl3FLTlBjzSVPLU6sahjJjbkv8+3lWtosFQCD0AAADDv5VjBrbjRP7X4iNoMw1t7Wb+thdQF4b2w4oDCzzdAAADDDDDDDDDDDDDDG/UeNAPsr/nzGSCMnleiDSABQrD080oDDDDDDDDDDDDDDDbVo5W4rMZnyPrnScLY1PuGOCsBIYsgDDDDDDDDDDDDDDDDM5ARsVB6vZG4Fzt6aE/ByUeDB/c0gDDDDDDDDDDDDDDDDRZghoy9HHOjI2drS5whGI02DD/oAADDDDDDDDDDDDDDDDDB6n+bHgtQeOnibtmWraWMeDD3AAADDDDDDDDDDDDDDDDDDSsFznYMXphWeGJf1Sh8w+DSlAAADDDDDDDDDDDDDDDDDDDBuejyAfbAan35i6KIIyWDD/IAADDDDDDDDDDDDDDDDDDDDtthrRCpQRie0K926i0WDD/sIADDDDDDDDDDDDDDDDDDDDD5m1DI4PK1wywoJaPcSDD/AAHAAwwwwwwwwwwwwwwwwwwwwxxVTku4AXTRooCVIdhihqYFDAwwwwwwwwwwwwwwwwwwwwwyaE+E8segocmmK8jUqyxRpFgwwwwwwwwwwwwwwwwwwwwxxANG7H61v22aex8y6DMuamJv/8QAIBEAAgIDAQEBAQEBAAAAAAAAAAEQESAhMTBAQWFRcf/aAAgBAwEBPxDDe2JaoUOOBjhMaGLFSsLxU15sb0K09wsFyGxQ2hrBYKFNYKeRedx7oSmTEdKhC4Ico6NFQhP4FebND27hFlCEIfYTHsSGhrK5X5V5pWxqG2IRUIYnFQhdHwc1FFQoQxd8C81rYlplkJ4LaKEMqNmNw1ChOEXK7F48CHD8vwY1ssTmy8FoqxBoqUKVg0LDiDEPzX+hilFC4WKE4oeCLhecxD9GRh2F5FFUJCHpCEJjY5UJCF5zQh+tpsLqFrE9GxVWxuyxsTE7jQ4QmXCNBX8ZHXpwbbMTbootexO4tMrU0J0j9EoZUoQ1ZRgp9Qjr3dohmxdLZQoo/IrUIoaKlSnFDniNR18BLSNOCmyipQmNFRYmWWKEOW0dz178LtUWITlDQoRZZRRQhQoTLz+vgdaDVCE4sQxFypoqF4e56+C6Gq3s1UivQrU0NTWLUKYmXCw9z18KKtMQ3Xo9qYnHBOx4tiZYxsuLFl0dfErMs4fpKE6LEyrHoT0XChM6NHBMULI6+JOhIVWJiZ0S0PULsZQ1gjo1Cw4wd/HVOwhMRVjVCRQ9TUoa0MTw5L7R/wBDaujqn8mw2CEzoxRR+jYnKFyCEIUe3zy1suFw1FCRRW4QxCUOoU+09vlWjsBpoTEypZ+lFlnUMXSsPae3zJkNEV6of8ExPCsOoa0IsqxKPaHdaLXv51o2dIdQTLFIuLEJi2VuFyfae30XbR0MYtqLEWKKFZZWhQp9p7fVTp2VCFK2UUXUIqfae31fiZYxQmWVCKFUMuLmx/A/gNuTXz9RFYIsTi4Qhcuo0Uo0V86ZVieGJWUpGxoarYhQoTRcsUXh/8QAHxEAAwEAAwEBAQEBAAAAAAAAAAERECAhMTBAQWFx/9oACAECAQE/EOMX9Yxa9WJi4MlGTlOLLnxifxkJ2Omid8X7qZcQth5rJzReDx85nUkeIM80xjxEEJiZRY8mPiicnnL8aCEExrE+x42TFqYmLYJE6EzzjR8Hn5zFbGLH5k2ahC4J9l6G71cZw9EUfQ1+JzWhNYeXii6kQQnsxomLUqsXD5JhRfK96HoCV9EJwmLIfwomJixv4NB8Xkofrv6bStr0fSLULaPaXEIWTWT5PAjSpZC/TB0NroIpR5dhBCELWy7cnL5O/TFi+y9OkNFRCZ0dhIgl2QamKi1kIMSJz+RSVQ312NyaOqIsfYnDQuyQ/ohen9H2ydDevSdEP4MTLwXCIr0dv7np1gj0lCW+i5/RMT29DEyiYn1jeLiuGTE6LPtQja6O9q9lx5OaYmJk6IQnBYnspR79zVQ1NcmLjMQnweoe36FL+ERZXgmQa+qYuE4/ApTx/A0ZfbCROJp+F4X4J40Tl8iiVYpQnfhS/BpP0VP0IuzHQQuoT4JExCRCExb8vkwh/CYuUzZ1kGo2JjyCxbRvUy3Oz+8Pl+VSqC7iRCcJqeQnBCG8os+G+P46sWzVlFyYmJjWQo5Ekf8AYv8AZ178cGlB+8Jk1InI31j15/OSo7MgxPWJlPR5cTGIevP6BpNHUsSMnNcUfzi8/pPdGAkHyWvE9pcecXv6JpPJ16GiYgkLITixLHn9ZJBIn0LtC41ixcnj+nj9g+ifqrrz+wY2wl2QRCEJC8I8lJhOqRJC/pa2/sWLJk4wXQ8VY6dibOzsr/PR0/hQksHgSDVds7hvjCauj+8v/8QAKhABAAICAgEEAgEFAQEBAAAAAQARITFBUWFxgaGxEJFQIDBAwfDx4dH/2gAIAQEAAT8Q/sY+AuyPcClrUG6drLjetXE3N9TcS2M59hzA9q5jHTk24iuUthuEnoECP0YaVVsULH9y1Nu5iAyqWJYO29x0vT1GiW48TKjhYgv9UIrat4uXNhfzCFSK7HqCApJu17dxAMTiNR1RwlBzBXhl0hN9xyBgNC7eII7eZgDPcSm1u+JSgdZhoQwQKRPdmm211UTLAsPeDRREXXezOxmI6xmVNswbthxCyMhmZHGO5fSqZXUqAvgOI5E2zJ6cGtS1hgri5aFDMMi0olWZVuGlgtMQqtzJtLgYjbE+Mnzn1D+lK/ICkE6jcY248P8AgUOBZydxTUOcLhFYRbe5VJk7qWFi/SWk0YpusniADF9MMuoTPKO2XcW4EXUvDR4lRkfWXOUB3CAhrmBectYhw/ZHtx9JbPYIIFHVlSbTV8y6AGeIhA5TiIizUAFFwKtwG4s1pKq4RmYbqKUuyBkczgVLBiVtEEA2SoKlKj7iN2PdKMqgbqDTuyKgUHMChd8kBYN8ELAE1FwsZgMdZW1LdrFejEjEXF4Q5ihPmG2gV8zaAMIxtyOZqGfWGIXEeAiQU1WKxVp5gXgwtZ6Q3LLuAbKu5bkLjgIQ4h5AojuAFbnN3WfKQfpSvzUNep+n/BP5BVReobq0IMI1fcNKKaurmKUhVkRRNsSBZIxrxe4GTXpENr9iUBRzBF3qDXNVFhDjqKulQ0XQBFnR7iQtemWsIUxUoAM21CkZLmJTk4Zc0PSV7BdzCGyM4q1SiW/3CsVTyxMlcsTOYjRNmIMKPNQy+RADuUkBj0jC3kQVXT3UKqCH3HBV4mAi+IiFY7goYhzEAVqnqIWuqTYFrBAbd0xCizzAoAMKmIISCC1h1G2aJjS4j3LLAWjgmWasKFyu/EoCrWzDWLTuahblwqXEuOmYj0GMS2bdfqfLfUP60qVK/HzP0/4IMLsRWgHX4TmsxwhmIDjBM067mVCkddxbaJQML7i4Suo5UxLttzNCnDFojYQXybmVmHvNJptW+JkIVLSblzrtjgHLqc7frKQBQ5uUSSvUGBv/AHAoQz1MjiLZItkKQdkQ1R7TKzl8RwxBFVsmVHz1C71m8Rdhq0s8TFh0M2V9GABeb3UQFLmXmmpQCC9jMDw9EwFAXmDe6TBUwZZlIXzDNuprkMw2xuMZg8YrETC2h5VFyx3eZTlbFpBiy81DVRTLfE3prvuK5WjPWALOEiLaM+BLBSg4nxP1PnvqH9SV+anyP0/4AKolAqHAxLE2se0plt5ljaX0BUNoMUlH/wAgLy5YBZhe5d52IjpqAtPJphKLiYLxm5eGLOMwhzvISlN7lAK5iJur2jYtmogsA3KmZjSQgkV1AQpFqVHcTBbDxGzXmWVcai07XbL4K7iFzn0lilhYekqi7p1BdAsJmF56ieYikcRSzricoj4lLBZww8iuBJK8vMZQb9I1HPTuKKcCBRdhM19TQAKI3h51AwrOWA00k7MMN6TcvNgPMEor5luSjakylKKrMQhuuIgt745JiCIJV3LBcpty6mW1qfA/X4R8DKlSpUP7f0/4FRFwOYdtKxtXxE53bl3KRYfqP7jAvxEGjEDS3JhTf2lx3N1HcwTQ3K9MO2rldbxMSbQxmUDBms4p+poNIYIEzuYBsP8AUC7KHKKrZWGKr4fMVa7tj/dCWnjzM3NCLmyVnnn+wYlraIRWeCK5QvaonljqVWOODiApbuCxLHu4qaVZmmJaggwJVEIwXZ1Bd6aXccq0CMK6WCktc43LuaIDWZpBzmAQ9iUjTYZgG7/2TWyIhBS8TKyTcdFF3AQV4CZOSTJLLuWKT0TN0NXcNAx3EuGZ0IupQLzWSFj5anxM+Vh/VlSpUrc+f+n83Lly/wC1xUuSihS1guWYAolhhi0uCFuSVVVk0dayTYRa2kXoKOplsjs6iqwvmYOYBw3KFOhxMawPM5G7grButpdvLDu7lUplhBXfMoBo3ChMEPLNcypcPdstolowwgRV7RWCroHkIULu/aNLUr9wXbD9RqAg9kA2XiE2qx8xeaa9YiqCout6kuGAbqGvfcCgX6xuusdQgpfIRUqWSVZzfMIAq+cys04jEwXHnIrucHbMYxXPUvApYVYuZP1Kjz2kcMnMK7htBWrl0i2O5ncCQmnHUENo8R7FHcLQ1BOeCo5ijP0c+Uh/VlSpX4H7/wBP4vrkEVuM8p+AetTOlQDghVWpmtNx8w49/wBtlWlyRLdes8Si82ZgjbDiZNZOJYDoiHgOGXYtZlGMsRpth4meOZTpk+IP4AIWeVcRXwbMkDm8IA0u8EwAStk0Sx+phZWSXCWGooL0xtZxFa1ikAc4hWL3xEqGmZrlIkyupe6/aB0+0ouVb3E3efEezUKYhdNsFKSyE0xeiF0vaDAbbjN21FXbllALm4DKfBH61wMCgFDiBLNc5WEW2O5etLgAKEXmajh+qZq8iM0OZRqrI4UaPM8AJWsI7sW3MvcYxcyzA8EDMA7jcZIhwmO4JwgAzpPlPqH9GVKlRhqQwvh7K4fw6IWhYRE2V0A2pLkWbiIAbt5Zlt36qP7imTUItdOCJGzDEKNXzMKYdMo7Vlle6gF+YmyrlRr6lKpDG7AgJoITctQSuoNHLKRqryR2lOTMVjW9sFm75Mb8NHUpMULkjqIWaTEdYZ9S1XyXDYANxtyx5YwpeOoAWzKmHdRDgpFmjfcubWoAlX7zYZGZcQaqlwbGDUYU2JmLhdBxBSgsV3uXeMMQObO+4ReIZ7RyEa5IXX/4RUxm+4BGRcRcIvx4gLxAUeY3E25I4pX34lBYXiEboalEHogGgBGA41L8KTTASAAo0OocJAAtLOphKz1BQ+E+V+oP05UqVGxTAKwM/p/F+bRyZY0ei3bWMQLQqn9IwBw6Qgan0aen44P7VTSeeIp6ocMM5gh5gpw1hhlcouoEWKeWBhBxEq3czOF2nVS9QBap0xLiivEdCKcXEx6uWtRLMUVFGmnmBasl+IreIlsWPM5FoiYchMnebiJaiAbHjuNtT2mJWLjY93CK2xOmiYZIyylQU5xMObXEqK2DfEoJWIRQt5eZWgvInQZalS1ZqX5YbiRXINEcNsMwdwCoZc+IBKAhLnNBl+BGy5GseIfDkwdRNAXEJ0ZkxvaJutHMUXg4iKjXDEHZa+ICi/Jg9Fbbj/t0Cds1A12RE0miZL4fU+Uh/XlRDZU7zc1Knzv0/jxIOOO1sWwg4AlAMBKQjmtL6wJ4nb/HP9q95cKyibETKLbUPJlBvCXuD6ibW5cWCYF2yYTI1uY5ItYxPEK6WkSiE0GSIyl43K2A4vc4XvUwKC5nwuFZrwQt3sNwLAnFShY1AEhvxM3K/EzFFQ3S+oGWnUcsXUqJTG2UdFHrCMreKleJXep6beIgoYFGZdaG+JsDeiOkAjONwBRUgIFh1GoFzLcEiJoxnuKWX1FsG+q4jQtE3KUG8ShbF9sbYO42ZYrPETgJG3eYBadmABLxj8yDbVydQtrAcwDdmiGA0XuUahGMRgLRuWgBd34gYj3jtuz9T5yD9OVNyZlfuYgxRL8app1zC04QTH1v0/4WKp11LViuSHlLoIbtFrOMMYpoBjuCFZVnJ6Ihly8EbkHUc4KvSQoUMwAgG+oUsEO6i+JQ1FWuswgsbhZEF9YVkWE8Xk7jZyGTUpqnBiAxUuq3a6uBSWuyIImnEtbfqBu0qOEy8xJT94KJrwkuuAdRQirFs4PWoZckKPAlGVn1i5YCeZxgObI0ZlzNfQNXLJWrDncqiC4gEGadzKAo8hUzZlcMLZqnUXMXXDPSs4l6HLxDTGE3MQCnctpzURteZXUIMVXbDAB5PcbtZBfsiUc9xtxlCQyvcJppNPc30PRzFFIfBH6ny31Ph4RBaF3CAPI69pZABpuJZNqrc+Z+mcf4VHrCKZe1DUFTFFxA2CQAmORBVORHiF+ZQq90OVvR7joUvHSjesxHSRgH8RRoHtCwKHEV5s78S+C3qYOz8RZNPiZyWqNS6EY7lYZH4l9kjnPEDyjiAW2IAuNlDURsqnEMHhLsG6mAFtj20A5lAlrAOWiJS5iaqNJtxHvwJkzJzLZxRuhtlh0s4nAD56hRBXDiKmw6mniDDMVl0kRKJeQGW1vUxBSbmBrrmIm2uoIMUYuWWW13KOeqjvcPUotDIFa4YqKXLcFHcAilMK8lzKqx5nw0+Wh/VgGSS9GDyqctfhIgxRXHUH7P0/4nGFvxN4tobaIQDSgNQR1i/WWEPpFctEA2XLVjczd0TEivVHC5ckBQW9JXBSdMvA1buPhFYQKFN5uXAN9yjRQTsZqIE4cRtYi+Zcc14fBCrpvEssy8kYCYN3AWaWGStTIahWkAT3dMpVxh3CWroiGDdweeICANblWB+nEGfgxd4qWEMbloC+2MI7At8TDtfuWwyRqpjKEPEpgOWIFlQTOIQO22DLC6YTRYa0l5bf3EBp5ZllWErgR4Qoi7xzFW8eE1CgMDwuJfQeZWxriEEyOcTEBkRhC2GOYlbnkQfhAv0srnlqK/GkLZe1AqBbKEQfu/T/iGG58QxndK3UOEQNAQUEIyQLQYvKJmBb8yhZwRyt55uNyzW4t1fDESXo9S0sTpiVQdEDiVEpO5iVgNEaXWuO5rwN1DBQ5RaC1UTZ56iriHcFfg2EbKxHdozDA5DpcFSilRCgUygNmoqw4rEAwsAInFxHCOyJUrbUxJXFFQLFPrHUBx3DID2hjZT8QycDQSgmdDcQtivE2hy0Myp1m4qgeqGlN4smfM+ZQK6gGlrmFalqYBQEcIQpmtygR4nOR6lwRlpPESCvxHXTLzM2ClESUXbAoaEbwjPmCi8fqfKQfowEbuk5l2pS+D7R6FLXi4l9yVg/f+n/HS6N07lbBqwjyjZSpL5IjpsiKVsMRWXyRsPe4hbh4eIKDI9y9WpWClbliarphysjUK2Xs6g2F0QFLedzZJCjtL5JmkQO7iLiMXDbkqJe5MUi1CspXEyKvEzENC1iUIwblE4Yg+PJAsbY4KxObZLLwWQTYOO4G0qAK/KIXtDCb00QmM1x1MNDiXEKJsuO9v06lphyH7h5hDonnHcoS2Br4zCHAylpnMdalrjMRKqPmUkYuPhBeY7NW4m0MktGp7wsdjccAEvcBMRHJFadmfIQfrzL4Fy1MZqmFCEKItC0FZOgmJUdU8P+SgLvkblxCqxSQl0rZ6QYacSlU8TLk1LkuPMMqiprz2smQivC1c4CD5l9rB1HVQuqi7sswqovPc0VaxAxlpXMy6BnuFthXvUtSriBVX2hIcxVAB+YZKHJwyiEYDidAMojYVcBMhmnoQMAVcWmLZhwNcQ4KZ6BfFys1uMEq8cwEXVFXbE14GOYAL1gYGCQ0UHTLJZeIXMTdH6mJqkKl4GS5c2lxLEQJxUwFbrcLqXljyC+iKLlsMcR2rXFx8k6S3bHUTzFMKM8HG58H9T5yG/TRLBSDUwAC5T0l5UKZauKy2NQ0O8/p/yWEOYX1W+IaZaofSAC0Nw2GquFoa5nJTG/MuqqmxlCimPMcJ3ZiFVU5YYFd4hr0ZTPzB2eke9NOYFAIVZmcF8zlX7qLQ4YrJqPKnxMODMvQDkuIraeAl0Shw3BuNoNRdFJiojFMVqO7JddYg99dzmtTFdW/EsGcrzK2in4gO6dhFbRfRqYINCwi0BB1GBYph7lVM8q7YDLc76nlAcTYuBQw1HtRXmFlQzm4a1wB07ZagWrkZYxcBvHmoTgwNxUYsbVFrrqaFke8jRN9Y7Ziz9T5z6g/SjBkxeYCymgYDqMaJimIwDTHy/wBMNf5KTk5hFsIy89xVCgmpiNznuXVesdwdhBN3njmYK7MqMn/UZxWGNxTQS03PhjVbSk8zu5Fy2Li8+IoqsFEtJc5Rc9LXEQXMyEdxPcRGaB5gObWIsO45LaOCLCtFy9w1ovMVWvWlbvPUQ60RbatWAWjkRUi//koMekU3ZA1RVF9Y02DEwGUyj6gd7g1fEDdRlhyiJwcAQcVj3C9GIaTMssrzqpZTBzMCAIBXAKqIIDRhiaQuTqARpbLhfQze7uUG4YgAUQWIS03uGVgJTDqv1PlIby8PqXRY6ahIoOE1LJo7A3FWNjmD936f7HP+D55iyCMWGUVCNwviVUXaJqCKDbtYiLW8S6aq1c5FXxUKOCWZbeJyYpheIKdHwbgy3ulVLx8h8svoQ5Wo3AXeSPMN0NTlJucXLAQvJBlbfcF8XAj7MGAAixmISYvmYmzlA0QJoFyQwth4gZsdrEtB10Nw4WJZ6QwGzy2ytZbhZFBdLvxEBh+KJBmXVZuZDzKrMo5CNOY7n2CpZ0hKvTEJQ2GCbpEuzPtKUIg96CgFunRKhZ2sMy0OOxlnsFhyx285yoeFC6uJ1ilnzHEUG7IUaCu4c6QlZbh2G4czbzBQEBEAVR1GAAeoKXRPifKQfrfUwgpVJbJ6mZYFF2zK2trm+58z9P8AY0z/AIJ5n7oSZRvC+IlTBCYKjq5jK+oGFUNpEPlTUoVh7mFTzC1qtOJQbF/cZIwPSU5YL5RIeUIpnfNViNU1AtZgDK8l6amem7ACq6hkKrKek0RhJYWAvszdEucwdxwsA4Ky866livfXMwMrZvkmMZ95FsYGb2jXKKpCvMKh1cfdlAiwEj7LAnYzinTh9IShxfEwq0Kq4qasGbdx2LNeSdRUdmVeBt2ZVVYj5jirQPDLlPLS2OmhZZXUIA1Zk1A4qCyyUot5SWWPCFgLXFxRUwmSEaLRlnuOpgBR6TIvERUbcsXFpfEua2buBPaZLL4KfKT4T6meYeJUFpxzN3tVaNKQ3qfI/T/la1LzKe31fEPKWiPcBOATLNUo9ynG9SKSNGB6ilLpuYlvqEm5VWGXy1MjUpUsXwpGXG0uSHLG7e5kx0ecTDfnXUXBmvpMnBfMsZBDD9MAlAZiwarCBSUKHwgkCtXEF29ojatRBzWTFdwGWIvROAbu6DRCRbYfqZKClHYzEIGXZIDAZfWYJJ0gwA0lYLQdEcEDGQHwi0TCXTM1VWzuUwXYdBL6ZThvMttVH+o2BaQ5kO4RvhL2E1mBpmoA/OoSMg0EQ5NYPMWZN40AeqCiSYHbFhXQaYEBrTOZ1nyk+I+oxEArKopY3u46y9UAUaHED/u4fxZB616AuXKLJYLQgiCNjz/jjmJoMfxwKGYLvWbyYUYCqKPSYBn2htpPiHz5WHEecgUqBLRRvmXIDixaRqALdtyuFKbgugDKEAJXMtAAmvMomt74lwaLsNQRgPdVtlTcYDmF8K2tPtA6WGRlBKuQ7gj4pNxKitdPMruMViAOtZkJWdqIZzDG2yDJmg2MriSksxNtnlys4zgRbFObbAlka9KUUdwUZi+1q6W4nFgzTpYtGNcNzmZXVSgdlkmawO2oDaFdcTIT0iFbWa8xxK15OYguo57jtVvL0gK/O8y/Lu3FcQCpRCCArreT5hKyAW1zFkMeJZm0fU+U+of1Pr8V3KJV614grDX/AODOI6Zobs11A7dbsgvuX8PKFcypGRwHuGjset9P8Mj/AEcxoKDNbIncShVcELjmWB7o1IRA7JOoLR0AaqJapzzBMu2WkwhEszQ9yrVYwM3k74ggguBCDl6hGEQMiUmqgFLylkslM4qCRbjglCXuqvUDakrsjQRrmHQs2CmtE0loarmK05eopoahaBr01CpyxMZVBi4mlsDqJnpLe4xyipl1U48xhM2ExAojcJzpgrmWqBK47jC0YfiHSAZ8wnT2ZehWtQlyxEo1dEWaiiCwB5Rw3gdoiYHIUr5ycRZJlzDRGgV+p8t9T4z6lSpU1nq4/qaKLf0M4mjce5BdJtllcs+1MxL3GYri784/yaNJNynLLFwwqmDXUasG+Y+PncFaGOE2l+dpSU9Cty0XPCWECrluA/7S8BQ5hHC8VFQvNdRaUUl3NZvuFZXJ3LJSjVQRvlAJ3rxECF2OWIayAhbQCFaXBGXyjsAV0xCiz3Kbozwzkdu4NlFgUqjAguxqOiVQYRZ13ARBsy1uZwNOB4gLtNStBHbOWOBxLtbnTzGJcnUIZbpXUQFG41iUcQYrIYRWk+YV1I9v1EeBz8EqWAGcbiQCeDABHX6ny31B+t9SpUqM1/P6ZxLlrwL9UajN21eCUfSoNjHQvw4eMRMJ8Cd/5BDXlOTJgNaWelFhO0vuoBs8yWaQaszOJhwGJmxS3lQJQMjfekhtYoRy5lYLiapGpoNDuVoW38S+64K5jhAeZgoBnuA1isACv34iAqUJiUkDJjxAVbBmDU8MVUG8qHUXAu6hXENBVQt5FQXBQaiTLmK5Gco3CDOJRSlvVSxJRv8AUHsqwxQ40igADuMmWJXDJdIB0UN3eZpQMBjEpbPgiA+0QFAKmS7TU5wRl6i6qA1XM26BFLODd7xNaPZ3LEwUtVDQ1VCfKfUH6X1/RU/7nT+G3pPE/UoaCbcepArr/JDOq2S+ObCTMo8hAIWPSEHXFdeYcisIg3TUoA23xKicDyRANqdwt0TJjMu8l8XCwBm6ld4YmcswArfUp1X5RiDly1BadDL3DXvMNIYYUADMwBWzUAYmkBLstQORYoUCEtLyEfIxHW3cVS5Ql+8AoNZp1Aob9pkjLvEqk3mED1EW4Q8TEBRhgtra3iEVaveZZXUKxHc9A5gOAXNMrU1C9bjXSit6hRCp/uPSymFfvGryCK37E+Qh/W+pUqVKg/7OH+AO1YUpm8CFrzNIyeZQAg5jcL7wotz3jlW2b8zEaPEIKFnmJ/8AviWqAxE0biQQQ4hI0gXg3OH05zMQGvMpYtfU2DAWPmIB0qisMY6YF8VYuN5xZuDcQBCwYaYlUYixSQKPEd4WjxGZNHcIGq+Zdv8A3L7bsgSMLuZCAOYhELKBudbikIfMwCLUjHAcGL4gq3twsXBahOO5v1HbmDjY8ZiW0koaAHNSrA23mVLnWqlNhSIFZHENB0J8pB+n9SpUqVuD/k4f4DrGECps7cGDR1PEbOot20qNzuUKEK5RF2sw8l1d35ld+UIz1cRlBdSplitRblfqMNaSJAXyEorF0eZuC82QqND1FmkS2lgcxLo/aKDDv3ligw8wRd8RwZfKSz9RGiLV4meu4kXuEbEBH9I9mndRXVpzLgsu45i6av2gcqFwDc4sRiBpgYA8RgGa4ZdTVVUR1koMEvYcNFZvYRfBA8bjpgDEVe82sr1Y2WVx9E+Ug/R+vxUqVP8AodP8ACcmGC78T5IOKgDFUq2TSktRUG8bYQVHjohcVudwQd3csWcJuKnJYUr6pQrb5zGYYcyVpEF1fcDZQ1gKtBinmUnoBiDZDattOMxukW8pGirNSlKC3LFAoYxQ8S1uBoqIFUirManBcbMH7mWzPUtUrbUq8BBJBncxJiVrpFChBi5jhk4QLVUyRxM9a0MAwlHFMdFIcZjEo5BXDBQadMRitpzq4ghsxa1HvN85c3LkQoYlz4ZQIUbJR3jE8jCfOQfq/UqVKlT/AKHT/e5r+57/ANJiGDEHB0VYuXKW+BuI5tszIAXhRuXDK9uWJ7XQ9S3QVcVIrp5jybHqWeA2RqC5aiDhUoiJSQqldVzM5SrElx7bgGbvliDaOHcaKi75hTd+8FZVFMzCWJaAgcGBA7d4l7lzzAG8e8S0mCV1vliYzABlDzGtC25RbS2JaXmJd5jGagU0OMTMiAcSk2BVvBE6GkSuRzS8Ry4Lsl7ElycfqJQotYIVkVx6xPk6GMpVzUO9jv3FGw9I2UVXFYpTljtfH6nzkH6v1/RVwv8Awaf7BlH+gKo28SjSNC2FwuKkPy4/F9RVs0ph/pYqygbZ4lHXUa10eyo4fev6NFzONvFSzvtNIZge7TZDjatYzAMyN9S06Cp2l87GWOlSDXcwZzfrKpDWWFhmeIqKBxuDpsX0guZbIpGNbc31FZ4VGGAPEVeGtvce7PESFaVVQN1kHqGadZqOC1vUsMN9S2DgeILm7gqnRNomFvOZwi42sCvMp+9yxrcDJb8QLWYl4pOoegNixytdc8S00VyHE1Q7A3HsAua5YM6rptgsK4V/uMq2DuK0DbG9QyurAkLR5NPcUQVecQl1QQitfH6j/cnwP1KlSo4rQJcCY6RRozj+2g7KjLqaIL1kJaXfLYdxcwLJRUv9WjaU/FpmEU5xQ8sHQxa1wZdFLAijcRkr3I4cAo8oYi+AbwcpReo+8K1epX0KWNVzL9s4FsIkNWXjHMKcpassNR+xb6RZPSTJmo2B0rgyJGmi4wO8nOtRXD7wxScFbgWF4HO4NKrzNEcWlz6IEEoAV6wAtgYBEB7xtUb2RKWPMRF46QNGKilxICCzDLJEG0sb8xVNsYjszC4Vf2hfyXhGhLCVKjnmK9KlxQIcxBW2QCyNXxLkNTLslHZgKVlLrnEpGxaha18I+6pUp5ji5UqccwpBtxA0Zbz2hdFHEN+AbGbgYANHmIdd7gRA0biiNALxzHlA4SEmGiZMHlHfnGpRnBJ8p9Q/p/X9FQV/0YZx/bxt4mj3ofBCr9kR8tOfAdMBitrd31cqcAK91iVLyEclQkYNhslcaAKe05Lye8WOmAgKYbbOHzLECVU1F4KMkO4ZZvzdbnMqIuizzFyCvOjqezs+2JwdLh8c2kA8tRqeXWFOvi4MpGPWMDBZ9ptiajOATUqKsRV/SEqq+YRAgXY4hyYqFVcVLimYN5uK1ZYgAMSigCENC5vWteIiNjcTQAOzyxXgTvmC08ECwRT1BQ5VqCLgh1McoUVDUdJ+0yilvMqdZ6iqGjzApQwVuOot9+kUAMQwL96hiJHCblNxdDr4jl3DARRVY3UcHQ4mKNWh1bQ/cHKK6uGpUiHjUT5b6n/W6/FSvx/3Omcf20RChaL13YQglQq6cVCNXMHLiItv3kAuer3MwOickjecFYHFsscQR3DPBjpnoxQQ+iADma9ZbbzOGHoH2CqiZyuSpogTHk//AFKe7FBTUHrZKwQEQywhEEA9agBos4ElIFlCccyqu+PiAp31EjJO6h2by8RKgqulhABuEOJiAx3EHJXpK+1QwvkQmVByQA4zGt4htvJM1bRH4TnuURyVmCiATZBTa8ZhWlYwhGqK5u+olsEWrN8E0xGKuEhXNdwsl1KahZevEupw5lDG15g7vWDV0wXimC1JKG9QI3Vwq5qoArYLYEMVwwZDkuUsAFVGICqyI3hnKuiAVYTPw1hiJhDcvGQeIxUyUZ8t9T/rdSpUr8f8zp/uJRkaTiB0RVbzKN93TznxVPBklxpPCi11CHKYA9oFdlAaT3ibsEt/cAQR4h5i7cyzzSqtDSosTg9pVmdz/sSvFMAPBEwJ2LzDhzjBcVdxUid3q4EBBkF3N/cByT/RZRIK3vPM5u5hZFfWOAhbU44WqiWeCjqUpSvDALVES2khGqVcShF9I4eL3LHxMlBDO1syWKeWXyCeSVhA5GaEOMHZvZLD3JkKsiNGR3DGDdwdCngllU0bhVU15iWED1SwUckApbfHmAho6i209RVxC5VvUCU6h6RlViteYtHmOLUthBSDXOJsOD9oKAetD1JWO0XPNuI64Q8QF1yYN3TIwwF0dQ0ej9T5T6n/AFuv6KzP+Z0/wm41csTNwE0oIWEJaARWnCK1mbghmEo9PHmDC7zCAq7ix1qIayzBRiCdiDRQvZNUX4mnefWVg3ArATp1K67D5hZlRoIQNHcSnCKUskCEst4uJJnXMxJj5llVzzAlNMaAyOpVdFK3LcjMsosBxKMuOPEQ0YZoiEEHAWu2UUvJwS29dkY4IYtlypezGKwuVXAdH8iEZchQuPyhovZuoLcaQUHQnyn1P+d1K/o/6nTOJf4uXL/zyeYUwq1hQYDKwbEjmItk+8zdrWphcWsx7U0SENnO5WXqMBd41MwsaEU+JQ2xLCLYmKC+I9p6E2NwXuXis03KhVvN9SrqcbmOTNxVqrzmDkDC1L9LXqIHQSP5r3KAXklJF1x1FDyNnUVuMREawRL5BjZsO5yIQRl8VSsoeUQ7hHcUn+5TjLtbmpcsozxELUGrbgWRW4c2B4QilLcwAljECvST5T6n/e6/p/6nTOIoiqDljxCoI/cuKb+wF9VRaN4a4f4AMmjaF+oF2XbWmGBSrmQrmIxCwO9M50esCuL5IUKrHctezzBBoTqUMBvUq8bxxcWrtfnMooQ7sgurruMjVi64FdS0Cu0ZS0HUTmK6YhRYSAatA1Ub3lhrqAuJhqbF48RXAse4V2KDT3EvDO5ZQqgq7lEaUGWIM3zLESJ5b8TGziAUNNMVW+HJ4lJA6Ny1XZeWJgAc+kSTp/8AkQABGjWfSMFCG0rBsMvcal5E+Y+oUuyzqf8AoT/0J/6EP/owapLKb4ZxLbhCqYc0XfKs5Y2EBPWo3V0m2uoieZDV/wAAIMna2qIlMOqAlHa5McRKkDFQtkldw+sW7LFREU+blgDK9ztMQyc3OKOrl65HmJbyjYORuGbrxBoPaDaiqjKqaL94AYFxiE6yOSZ4hWDEyV/qVQm2E0VGzLjaxw9oha3VkIXOswWw+biUihTruUrMN7lFOlRAs3NaKhL1HFEsyFekfmNVcym6qNUDpXrEUvop6ngPiIBcTF1EFvbmMAsO0Z8ZPkPqeAjmeR+2eR+2eR+2IgQ9LMyg4s4ZuVMm4v8A7hL5IHeIvmbF0kBiNgZrH8B6cxYFUrMRbBUA0lkeWzuKxsuMIYJQWm4yMkuqlrCiLHD0hUjzEFUjgihvvjqZjS+5tXLuAiOy9VEWglxaNQ8QAo8DEHd9upRKrGCm41FFGOYKl1HMGRsfpAW0a2xg4/8AYLywKtuOUHtAtu7dS+AXGISzuMuSWtZwOJjZuMNEdCnOpxC8fqZEVWYpphSZws5yxEVmqLJgDWspBR+E+Q+p8VM1/R8z9MPwouAplhvkEpJY11sc+GKSO1UegfwSAp/UdvL4lsqKaGb6I2I2lJ1FRZEJjJmXilnEEja6jI7u429U6OYSK7yDKtQF4jZRhj3E/cJTePWUtJfOVxBWRxfE3lI/AvLqXBTQZiSN1e5yBr1mGQiguJtwTCHM0AWOosKbbXqXFFVqUUwFbqKmj1yvmN7zCEXKWlNRxSpT9SwuuC05vMa0+4DMTzErFp0wRY28lag55Jjd0nyH1Pjpx+Tc+Q+n+xd01V8fwBLOyXyTKaxkYNA3IljJd8xSlCtwUbK6hN5UZqAwJMK5Ymm5Zls3DFlw9kspuymrYOobC4R+qKnI6hVi5ITRQ9xW4Q55l2FXEO2q9Jg7vUGwMMAwTJqDKv7luC3shIzvqCC64jYa5mTACmfEQbScoVKLm4VrEI7g9HMxhXhhh5rE2duZwkjAK0wRmNp/APjpx+Tc+Q+n+xn+BqYquHZDAZFVGo60AqvoXLOCjqPFKxWHubbhiCTbjzDbWyZTJcuBl6xFo6mHCzssMAEUeYQtW+YsmL5JlyXvxNTdOBlQj1RELPWOzDRsomQdMJRTHEeLAbYloMAyO3mXcUHMrbWswvMtTRmClbcyyFSo4OId9Xi4WOUXiYxCrp9Je4EahXSvSBavASWD0YxL+xn/AAOp8dOPybnyH0/xdLYQcncSTAlO2Wh9t7lrMQ9O4pqKnhxc3DLNA0uiEVLjTKFP7jA4otVUVxhgtVeYTQVzcVStwKlTR2hNwoNy1AO8XioiAwPGiHVfyEwoKb7mY9AslXA2xp8E47l3QEnnDlgrBZYt49ZgBxEVNLrC4S8GJAz4dx2OhmzUUVrGsbjGldqCtTVWDRmgJ/wOp8dOPzzPmfp/jP2BFSgQUVXiXSyGMQbCn5goqZjEK5Xhy8zPNHpl9ssqx3GwmXmABe4C0CXqUjlmY4cQQZQLzKMNg5ZfXxzV7hIYW5YDee40Bw98wUrv4R5LL5p1Ffku41L23AvvIwEXxAvE7ELJLrc73EI3hlABbV3NtsXiBGd9w28Xg7l3TfeoSdviAlhCfEJ8hPjpx/R8z9P8aw/Rd7i25TeUBbZGwjXkV4lh+o0aLzMu+DBBJTEq683Gs08RbMMxvueB1AtlDzMUcHzKnFepmW3u4boJB1qFhKVlL3XcSqGtaiULggggjrbKYcnM/dKSvKCAvEa1QU1UQtgZciwwJpQzBuhTwYqL93cq7XFmkEOtS9Q4ABKDTRzHdPRPkJ8dOPzXkO2D9I7p8Ms/jBlni8R6iK7IgPhcKUqr4RK7pHMuKlMj9waq7YvWYH2TVRiAQxKMMWlphwE6lAqxgynxwTmWWkNIkOWeEFvY2VA5DPJ6xNj6BEq44swQDfEtZGN01llrVUwUumuIoaVGvahLuPoR1EVt8QqqV6yqZcuINAKCAlRkbZjUO0T5CfHTj8pBB7lQiXdejAr+NqFxF3UYrnTdQYOEpAtml5YYyblLg8wec0RQtUxTBx3Cw9AxiC7JkQVYG/tFPpce3nwi7HpFQizkhRQzdkC0PfiDiPL3ATU0IZYzAcIQIo7gcyjcVWjf+pyN9wM1mIlMMv25qIqDxLU10SimTKndxglQsWZIsXbrPkPqfHTj8m58v9P8h4gIAVsY9EgpdnESArhCTnHEK/CTqFTKD7RrlTPWoMQodQJHVazMgEVkKzcByB8yug14S13scwTRlBwId9QQQTirIwErosbm262QKMbROB8SpVh5z3LVVXDtWjUI6Z348xvLmOtsXc0mQYKTurlBbRHlcTNTpPlPqfHTj8m58h9P8gQDeSMrJUrtFMg3aQZcnhESmEhRuB2Qyoe8XKr8RRkF7lnJh4qUFm0eSI0OiU6uuOom+g0uYt3g3glL7PUA4GHEELmvjmVFzULwwjInGoVWGQ2wwOLuNx0hQJR1LCik0bX1hbWqB1ZdRJHsydTOG+2BuiJDnHU+Inyn1Pjpx+Tc+Q+n+QI16LIrAjNEa6IHi4espSIuTuUtWZQUJSrrEbYIEZKiuC4j2a1mmYyge+IBLqhHfriIEVRguCwCBm5fLw6tgH1NC4wkAYEnsYuLsUIb7gILwriVWaU1UJWrXmalMcwWoEpGhmAMIHmCrA4VzBaSm7Y8amOCVWtnxk/5HU+OnH5Nz5D6fxcuX/G8wSsUfGIX83pAlHRUtIWu5jCyWOFzLTmvEpgUPctLMzAKDH4CnbNYvFgRGg4ahTBslTnnhJgA28oQACkoixeMRuMHhxKKy3bbBcMOyURFQZRYtkQYVANFUR7O4Mlh1Kzcy2lwTJuJM7hRgjXqz4yfKfU+OnH55nzP0/hUEPA2otD0zlzunLwm1/R5N/xYUBthG6c5iWltzKPB7lS37oQqzKLLEX7xyDMKvaW1T4hK7eovtDxDzYYgPY0ywCG3MDhwSoJyl4voqu5Vh9SV8AdSm1SzAPZAuWb6/EBDMQxl7QpQgurglSU34j3UAxyQUjqfKfU+E/orM+Z+n8Mm4thzSf8A7CkU0vaMBdoeLh+ebP4tEGGrilo7uw+04QHECZxoKbi53jpwVeGDcNxQdc5iLz6kuyzLw7Evd37pQcTiOzy7ICzHmAFyhUtissX7hG6spz4lNFialirZ1F4IQMFPmBFAUQC3ECjCtS8pWcTqYZgmslmZU1M4ubiw9JmAXlqH/opzn/o5/wCnn/p4I/7cYKKKqAx+HAJkDiEOkaXqOWBYTZw/yC5ugozK8A7BUCwrajbuYvKvEBQLuClyg6GvUy209RU1DNiJfeZlSthF1lkh4TugheWXY0DGYhcKR7aB3G3CdtRtpccOw5lgWFS0CUXtcFomJw/ploocjZEBdUGYXJ6K1EgEFVy4HJeIC6l1FbFj/gJ/5BP/ACCf+QTNr9SIXQ+Kn/vShukR5mIu0WV9SpDwA4n/AK0y6fueF+/43PsGkK0g0kQdBECrSe9uKnJHKvqbW0XkswCjSJ7wCDh1MbZR2wmiX9wpN4XKpwOXMXh5dYieMD3BxR3KUGYzAqa/EW3UdVDuM5rUaFy3bAJhKw29o6BiItcUVLW3YmJomTxA6Ba9YCy/7ijTRB2Vj7y/c037IFt/cVtlebMcZR7xYq8EqI7uMCk9YiDaN5gO2PJf8aFpQWwAKRxYqc0Lshgaq+pUORhdbBruGbEEw2wRaqWtmoWnNotIhhhwDUfTCAKsL5lqELZArXoJdLh8S5GiEHHBqB2aj9oGVb7le9nBKmgkNvRGL7yA/wAYvWW5kThj/c4AIYDiUZrIIRlgFajYSJaMunMrAuGJVuqi3Wn8ae574hXWVTJMF6LmOl5L1BgC41UxoxsBuo5AvVxctNGqlmwdRBSl+kxWzUvvTC+YRdJfpBWgNS3bZLA5fMEYtYWCVGaljeHcCtLqW2Gty4sOYiKFiaNKLuW8VBU1EIgl+YkADuWISsAizEdTkczLEcCGUqZ0biPKoxLYRRBagthUsP1LlJucn8dag0uMQdYl3fMTi5oi8mW90zGmgeYllV4YVcz07hlxeSUGK6YmCZasjEjaTm4g5VlDcS0VhAPuwwsNc21e8LMIX8RcrbY4YwxHjey5VXg8yjPtuNGVOoEoL6jUl6pggrvAsT1LAzWmZa67iCswDJGBrL3gm3RHBE6goBUe1wTFYhiB73LnpCNCQKN57jSy2vMEF7sE4EDhDzP/2Q==)
Elevação costeira na Califa³rnia. As zonas costeiras, definidas como aquelas com elevações inferiores a 10 m, são mostradas em vermelho. Segmentos da costa com elevações superiores a 10 m são coloridos por um gradiente amarelo. Crédito: USGS NED.
A maioria da população mundial vive em terras baixas perto do mar, algumas das quais devera£o submergir atéo final do século 21 devido ao aumento doníveldo mar.
A quantidade mais relevante para avaliar os impactos dasmudanças noníveldo mar nessas comunidades éo aumento relativo doníveldo mar - a mudança de altitude entre a altura dasuperfÍcie da Terra e a altura dasuperfÍcie do mar. Para um observador parado na costa, o aumento relativo doníveldo mar éa mudança laquida noníveldo mar, que também inclui a ascensão e queda da terra sob os panãs do observador.
Agora, usando medições precisas do radar interferomanãtrico de abertura sintanãtico (InSAR) baseado em satanãlite de última geração que pode detectar a ascensão e queda dasuperfÍcie terrestre com precisão milimanãtrica, uma equipe de pesquisa da Universidade Estadual do Arizona rastreou, pela primeira vez, todo o movimento vertical em terra da costa da Califa³rnia.
Eles identificaram pontos de acesso locais da costa afundando, nas cidades de San Diego, Los Angeles, Santa Cruz e Sa£o Francisco, com uma população combinada de 4 a 8 milhões de pessoas expostas a um rápido subsidaªncia terrestre, que sofrera£o maiores inundações. risco durante as décadas anteriores a elevação projetada doníveldo mar.
"Iniciamos uma nova era de mapeamento costeiro com mais de 1.000 vezes mais detalhes e resoluções do que nunca", disse Manoochehr Shirzaei, que éo principal pesquisador do projeto financiado pela NASA. "Os detalhes sem precedentes e a precisão do submilametro resolvidos em nosso conjunto de dados de movimento vertical da terra podem transformar o entendimento demudanças naturais e antropogaªnicas noníveldo mar relativo e nos riscos associados".
Os resultados foram publicados na edição desta semana da Science Advances .
A equipe de pesquisa incluiu o aluno graduado e autor principal Em Blackwell, e os professores Manoochehr Shirzaei, Chandrakanta Ojha e Susanna Werth, todos da Escola de Exploração da Terra e do Espaço da ASU (Werth tem um compromisso duplo na Escola de Geografia e Planejamento Urbano).
Em Blackwell tinha um grande interesse em geologia e, quando Blackwell começou a faculdade, as aplicações do InSAR os levaram a prosseguir com esse projeto. O InSAR usa radar para medir a mudança na distância entre o satanãlite e asuperfÍcie do solo, produzindo mapas de deformação altamente precisos dasuperfÍcie da Terra com uma resolução de 10s m em 100s km de extensão espacial.
A subsidaªncia da terra pode ocorrer devido a processos naturais e antropogaªnicos ou a uma combinação deles. Os processos naturais compreendem tecta´nica, ajuste isosta¡tico glacial, carga de sedimentos e compactação do solo. As causas antropogaªnicas incluem a extração de a¡guas subterra¢neas e a produção de petra³leo e gás.
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Em 2005, aproximadamente 40 milhões de pessoas foram expostas a um risco de inundação costeira de 1 em 100 anos, e até2070 esse número crescera¡ mais de três vezes. O valor da propriedade exposta a inundações aumentara¡ para cerca de 9% do Produto Interno Bruto global projetado, com os EUA, o Japa£o e a Holanda sendo ospaíses com maior exposição. Essas estimativas de exposição geralmente se baseiam apenas em projeções de aumento manãdio global doníveldo mar e não são responsa¡veis ​​pelo movimento vertical da terra.
O estudo mediu toda a costa de 1350 quila´metros da Califórnia entre 2007 e 2018, compilando milhares de imagens de satanãlite ao longo do tempo, usadas para fazer um mapa vertical do movimento terrestre com 35 milhões de pixels a uma resolução de ~ 80 m, compreendendo uma ampla faixa de elevação costeira e taxas de subsidaªncia. Os formuladores de políticas das comunidades costeiras e o paºblico em geral podem baixar livremente os dados (link em dados suplementares).
As quatro áreas metropolitanas mais afetadas nessas áreas incluem San Francisco, Monterey Bay, Los Angeles e San Diego.
"A grande maioria do perametro da baaa de Sa£o Francisco estãopassando por um subsidaªncia, com taxas que chegam a 5,9 mm / ano", disse Blackwell. "Notavelmente, o Aeroporto Internacional de Sa£o Francisco estãodiminuindo com taxas superiores a 2,0 mm / ano. A área da Baaa de Monterey, incluindo a cidade de Santa Cruz, estãoafundando rapidamente sem nenhuma zona de elevação. As taxas de subsidaªncia nessa área atingem 8,7 mm / ano. A área de Los Angeles mostra subsidaªncia ao longo de pequenas zonas costeiras, mas a maior parte da subsidaªncia ocorre no interior ".
As áreas de elevação de terras incluaram o norte da área da baaa de San Francisco (3 a 5 mm / ano) e o centro da Califórnia (mesma taxa).
No futuro, nas próximas décadas, a população costeira deve crescer para mais de 1 bilha£o de pessoas até2050, devido a migração para a costa. O risco futuro de inundação que essas comunidades enfrentara£o écontrolado principalmente pela taxa de aumento relativo doníveldo mar, a saber, a combinação de aumento doníveldo mar e movimento vertical da terra. a‰ vital incluir subsidaªncia da terra em projeções regionais que são usadas para identificar áreas de potencial inundação para a costa urbanizada.
Além do estudo, a equipe de pesquisa da ASU espera que outros membros da comunidade cientafica possam aproveitar seus resultados para medir e identificar os riscos costeiros de maneira mais ampla nos EUA e no mundo.