20220713 13472500 1.0 TRUE TRUE floodTool_Depth_HAZUS The WV State Hazard Mitigation Officer (SHMO) in the WV DHSEM funded the generation of statewide Hazus Level 1 1% annual chance flood loss estimation. As part of this analysis a 1% annual chance depth grid raster was created. While less accurate than more formal HEC_RAS models, the Hazus L1 depth grid nonetheless provides a generalized estimation of depth where none would otherwize be available. HAZUS Flood Flood Tool FEMA WVGISTC WV Statewide 1% annual chance flood depth grid created in 2010 Hazus L1 analysis. WV DHSEM-SHMO, Michael Baker International iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAEVhJREFUeJztnVmPI0UTRT0zPeww7EggJOAJBP//3/AASDyw7+vM9Kdbn27r TkyW28Yuu6L7HMnyXq4qVx5HRkalLy4vLy83sBiPHz/e3LlzZ7rta+9yXd+9e/don1OXp/u6PHr0 6Go9Li4uptfocT2m++fA63bo9v/777+b+/fvT9vy22+/bX7//fdpuXpM2/b8889P13Pb6fVItJ/q d7UNfbb3r7bH26T36rG///57ev7ZZ5994v4zzzwzvdafpcf0Xen+vXv3jnZs3CTOc7TeIkYHXRXY MXAjy4PfQtJjbjxen3ztObE4Ldx9G6vEZCQAy0nLsGx0u35m7qf6neR+ydsjefmxuX35zz//TFJN iQndr+tV1wOeBmGdiPwlX0IWdXkWwR9//PFEA1mLqMzDhw+nixq1rrXeEo4jJK+zmFt3bafer/cq irEIRjLx95ARUX3NHKPXpMRqZKaL93+KVTiyGkV3MA/COhGOIISjiCVxo/zzzz+nz6qRltfj3DgS sqzcfdW1GrW6dF7XehEZudTunZZZRbGrhDIS2oUq0+yOO+rTskairGJdw/eyVhDWCWWVjUmPLZ2j 0IH/3HPPXQnrXPmqbWgfqCundZRc1MD3TatqGdpORVmJtrfu95RFRlq1G2iR1PeOGElHuEuu7bI4 /flzy6oiQ15Psr4j+IYxOpCz23CMA3L0GU6sv/DCC6s+6DOSkbhqpJSNe9QlVBRlETuC8X7VZZQf M06Au7tco149L4H6dj6+a4SlLqqjK78uu7n5+tEy1vzdnQOEdQKWzBtlA8/oYe5XvDboczcIJ72T XK/rus657Tn6um1kdm6b63MZgVWhzEmrrlfKyjD6999BWAtzCiFkRFIbq3NBNfo6t6hMCmnXLliS OSovq0awc8uRjPT+lHfm0Y7Rbff7/UNRt3fbNlJx9DQIqznXJfDrc0v8ujtKymVn/dl1ZQHb6qD2 ob4no7TRPsokuNZBOTBddF/dU11SWhKZBwecF3TJggcPcjlOuGfkO1q/ue1demCmIwgLDsIRiaiN ck4glX3k5MjHyXkl2w8ho6uM1rJrnY85N+goVVKr+S0XhGodLbJRcv8UAy83DYQFB+HuUzbAWlpQ E+k5UjbXPZ2rhM9umy6HCstSsUwcdW0bPfTtvK7rnpFvjjjWOi3YD4QFB+EGPpd0/vnnn4f1U37N iy++uHXkrOZ5HAlVMe5LVsHXxLwjqbn1mZPNXBGpl+lIqw6QwO4gLDgINTrXO9XoIbuKrgPLUgNd FIG54VZpbctlHZLfSenkclK89XzA+r45meZ1RnB+XNvr+iyEtT8ICw5mLhIRrkNSVFTlYGHl++YS 0aNu5SFlGbksr4fXxdGQ809zwvJjo31w3WeuZZS2GwgLDqbWdgnfz1OCsvG727XruXw1We3PVIJ7 G3OlAxkF+pIScm4uE/E1h+WIydszErek5/UdbTfsB8KCg/BQf3alRoWpFkCehC1GDTclkyNpucz/ cgrP6HM8M0Tt1tb1yM/3bTHKveXrvQ2atUGf4ylmvE8oXdgPhHUCMrrICKQWde5SRLi2roQT5llq kNs0GuUbdfXytXretUwaBVRjz7KDzD9JlnMJe82UkKfdZC4pp7Cp38u2EbwUst8rRqOKwt+xTpEa LQv2A2EtTA6bm+wujciuydoP6hpJ5f26/iMJ+LXOI+Vr1N2TtHS+n/aj7jtCcVez4tdLcpaoZaX3 +0TkXGdPb+PJ87Rsfc62bfb26DNG83dpIsFffvllGgXNQYc6XQ7sB8JamNpIndzVQZxn8Cdu7KP3 r42sXxLb6qpG5zFmJOao09GTq8l1LaH4scyJZeJe9zWdzq+//npVVPrKK688EeH69ZZMzqSRl6wp qzK+7jvRNvz111+TsLQONbreNaqGp0FYC5NRlA5cNRb9+gtdu1K6/kpnriYP8FrrswbyFJfROjnS qWUDuuScVdm1zGXVqXE8YZ+uNV+WyycUFTmK0rI8l5aoCXa/x/tdYrGMcvmOtOYEUycL9Kk5Wt+3 3nrrarYMf4fZhcz3w24grBORv9pqUGqobjTbGIlgbuTrnMzJyqIalSOMtivzYEKRigVk4ef89MKz jfqUmJdeeulqmYq4aoRUz3mso5U+rcaje9umMhZap8zlaZ21bg8ePBjuq7VHzWsGYZ1QVjqoPQzv X3nnYkbD9qM/llizsEbb7OdGI30iIyflnjw/lfdTPfXG+8ORkfNejoo8CaBF5NE5dydrWYH/EELk fvYUzdmNHW2n1ykjLXc5t+2rtX1/XUBYC+Nf35rbcQMayccN0BHY3GkgazroRyUBeQrK3EhcrSjX RftMI3w1UZ3RjkSj6EnRlKSWEsr81Msvvzws9vTnpWiyK5qR1raISM+7Sythap1038KdG2iA/wbC Whg1vjyjP//NRjhHVWcF8IGeleBrZU6oo3xbytivcZfPI4AaYdNF2/7TTz9NQlI+Svkg54SU0P72 228nIWkkLnNQua/1vHBXMssuLKy5H4zR5IKVfK/Om5S0Xn/99Wlb5n6M1vZj0wmEtRBurLVLU3+5 a1Ler/Hj/qX26JbnP3eu5NDZCg5FkZAkonX/4Ycfpi6YRub0WEaVloUiEF3UoC0TP++u4DfffLP5 8ccfN2+//fbm008/fWJKGef+9P733nvvqkzBPwpzp794f2r9HLm6bKIWs9b31ZxXdgEdEUqsivok T39noz/BQFSHgbAWpDaeWq+UEUi97dcp0vD/7eng15C9GrQa0bvvvrs5Ny6I1HpJBEo0e3RO664u m3NKatBqxHqNBx5c4pEJdG37m2++uXnnnXemx+r0L+4e+s9IsyarSivr4Cwm/1i4/srdx1Hyfa4S 3394oef1B65aliNAf/Z1/9gD+4OwFiAbTJ15c05ac3kS/WLnyJmiEglL791W3HgqJCE1TEVVjmD0 mNZNstL2q6uk10hk7gIK10ol6uYpupLUtCy/tubB3FXedi5h5qWc19Lrc46uOkXydQnx/HyLWFGm lq/vRvL042v8l6LusEcXYp+h6yqtmotxJKLGrdyNLted9Hsq1Fi/++67KcqQXN94443p2iNlWtcv vvhi8+qrr24+/PDD6T3qynobJTO9RoKTPHRb1xmF1chnF7GYOj2y3qPlzg0SjLqTNUrOKM/dPn03 FhTdvuVAWEemHvijquYU1HUHt/I9ikzUoJUj+uqrrzbff//9VJSYf3F1LhwhKaoSTpxrnSWKr7/+ eoqYtK3q5ml/SEpab71GotPzuq+ITI1fkYq6Vu52VWE4hzQadaz7eq68YFRGksvIpHylniyt9c4f kNFcWnAcENYCjLp5o9GifK4e3L6dDUHyUkP++OOPN6+99trZZeX1U+T00UcfTfclICWgFXWpsWud JSqJSN09Cc55Jz3/wQcfTKNqEp7/TNXdNuXAFGnVaMrduxzNq9O3zI3OiVxeLWqt7x9FXMJ5M9dr +bWurfOyqWQ/Luc/4m8YtdYnK9X36c7UBiMBqPukrtUaku3GMyZ4ZgV35T7//PPNl19+ufnss88m YbluSuuvbcsKdOW/nFfKRLWW51xV/cOGkXRG3by6H/M5cd3J5aPC3dz2xBGZS1WQ1fFBWAtHVhbW 3EnBJhPwo/yJuk/+26ms6D53o3ByOf8WXuuqcoRPPvlkWlfdd5dP2yBZqXvr9/h5dyuFE/dZzDm3 L10mklRBzY325e36Y1PLTry9Wcsl3HV1An80+R8cB4R1RDJ68sGvbo0rsWu5grtNasiKMtyoMppQ 98o5E0VWOdXwuWUl5qIei8UNPkc0dfv999+foqc8QVmPWwhOjFvS2e2rOSxPjLcvlksdgTRZODqK yPzDkaOe7gaSu1oGhLUwklUe0MZD7NkIRzktF2Dm+XCdG0MWgOqiaMtiqzNW5Kk9+0Sr+5Ciql1K n4voyEm4lsy5tjqyO1dPB8cBYS1Mdgsyz+JKb5UF+Jc+q6cdUbgws/uBXxPePo9SSXrL211Dk9FK iuuY+6L+83OeKuTbKUqfEF1HAuvocD4HxwNhLUTWUM0NjateyQe/o45soNsOeDeOtc9ImjM2eFuc 89I2S9i69hxSdcTN4jDHFkDu63qep/e/K9n1A2Ox1hKIuo271onBfiCsBcgcVs7WMJrfXF3G/Msr J3ozotj2OZ1x/s4J8yrpUeRy7KjFPyY504OFpe9Dpxx5RNMDH9m1HdVfed27fz9rBGEtRBYuZs7F 82D5gPZoX85esEvitktjyK5TysYN3ufe1VlGvW/qjAnH3m6vU57X6JFYyUoXraOiK8/A4Mh2bmI/ uoLLgbAWporHXb+c0z0LIc1NO+hH25JymiuCrZXrx94n7pL73EBLSMl2VeRLVirSzfmttkW+S0WC 8H8Q1gnJU0A84jeaD6tWX3fOYc3hbfZsCRmJiV0LbA/FgnI05xIU14ipEDani8moylPrmJp0R1jH B2EtTDZE/9mBu0Oe+7tWw+8ioZuSI1nDfFGWjCcBlEQlJ9XGZZ1YjQLrfw169BOWA2GdgHpyrqVU q7HhvPi78dxjfD/rA2GdiNpVcCJ+dEIunJ7c966TI1paHwjrBMzNFOACUTgv+cORj3Eu4PpAWEdi dMCPqI8vNfoF+zE6+ZyRvvWBsI7ItpG9uVEvRLUOUlKM9K0XhHUkth3oOatAfQ/CWg95mo7vw7pA WCeiHvxZ0Q7no04MKBDVekFYR2Jb7dRcFxFZnZ+uhbe3FYQFAG1AWADQBoQFAG1AWADQBoQFAG1A WADQBoQFAG1AWADQBoQFAG1AWADQBoQFAG1AWADQBoQFAG1AWADQBoQFAG1AWADQBoQFAG1AWADQ BoQFAG1AWADQBoQFAG1AWADQBoQFAG1AWADQBoQFAG1AWADQBoQFAG1AWADQBoQFAG1AWADQBoQF AG1AWLC5vLzcPHz4cLo8fvx4c+/evc39+/ena4A1gbBuOZKVLvUxievu3bubO3funG3dACoICyYk J0VUuhaICtYIwrrlSEyWk4SlyEoRFtEVrBGEBUOBEWHBGkFYtxxFU5aTc1eOsNw9BFgLCOuWU2Wl C8BaQVjwVFdQF6IrWCMIC67IbqBLHchlwZpAWLeczGEleqzWZwGcG4QFs9ICWBsI65azTVZIDNYG wgKANiCsW07mqYioYO0gLABoA8ICgDYgrBtOrafKLqBuM+cVdAJh3XA8r5UZiQugCwjrhjM3GR8J dugIwrol0nr06NF02+cJMoUMdARh3XAkJ8nKMzFIVBcXF9MFoBsctTecjKSct/I87nQLoRsI6xbg pHteIyzoCMK64VhM2QV0hKWuImUN0AmEdcMZTcRHwh26grAAoA0ICwDagLAAoA0ICwDagLAAoA0I CwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDa gLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAA oA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0I CwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDa gLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAA oA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0I CwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDagLAAoA0ICwDa gLAAYNOF/wEjifTqmidnjQAAAABJRU5ErkJggg==