20241009 13491600 1.0 TRUE <div style='text-align:Left;font-size:12pt'><div><div><p><span>Os índices de assimetria </span><span>de </span><span>d</span><span>renagem de </span><span>3</span><span> </span><span>o</span><span>rdem do Brasil. Os dados foram gerados a partir da Aplicação TecDEM</span><span>/Matlab</span><span> utili</span><span>z</span><span>ando o Modelo Digital do Terreno SRTM 90 metros. Como estrategia para processar o volume</span><span> </span><span>de dados </span><span>com a capacidade computacional disponível, o territorio brasileiro foi subdividido em áreas menores usando como recorte espacial </span><span>as bacias hidrográficas da ANEEL - Agência Nacional de Energia Eléctrica. </span><span>Posteriormente o resultado dos dados processados foram integrados em uma única camada. Os vetores de assimetria representam o comportamenteo da drenagem em relação a linha média da sub-bacia.</span></p></div></div></div> Assimetria de Drenagem Índice T Bacia de 3 ordem Bacias Hidrográficas Brasileiras Mapa de assimetria de drenagem de terceira ordem do Brasil utilizando o programa TecDEM/Matllab Serviço Geológico do Brasil <div style='text-align:Left;font-size:12pt'><p><span>sem restriçao sobre o compromisso de citar a fonte</span></p></div> indice_assimetria iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAC1xJREFUeJzt3UlPVVkXxvEtXFrplEYEKRsUOxSNOiCaaBw4MWr8Bn4AP5MT p8Y4NXEgAQGjkSB2YAM2NCqooNLavHlWcg3lW6BVcjlnHf6/5AaudcGTqtSTfdZZe+3U6dOnvwcA cCAV9QUAwO8isAC4QWABcIPAAuAGgQXADQILgBsEFgA3CCwAbhBYANwgsAC4QWABcIPAAuAGgQXA DQILgBsEFgA3CCwAbhBYANwgsAC4QWABcIPAAuAGgQXADQILgBsEFgA3CCwAbhBYANwgsAC4QWAB cIPAAuAGgQXADQILgBsEFgA3CCwAbhBYANwgsAC4QWABcIPAAuAGgQXADQILgBsEFgA3CCwAbhBY ANwgsAC4QWABcIPAAuAGgQXADQILgBsEFgA3CCwAbhBYANwgsAC4QWABcIPAAuAGgQXADQILgBsE FgA3CCwAbhBYANwgsAC4QWABcIPAAuAGgQXADQILgBsEFgA3CCwAbhBYANwgsAC4QWABcIPAAuAG gQXADQILgBsEFgA3CCwAbhBYANwgsAC4QWABcIPAAuAGgQXADQILgBsEFgA3CCwAbhBYANwgsAC4 QWABcIPAAuAGgQXADQILgBsEFgA3Urm5uSGVSoXs7OwwMzMTZmdno74mAPhHqT179oSamppQW1sb bt68Gbq6uv75kwAQsdTJkydDSUmJvbS6WrVq1d8+kJOTE8rLyy3IhoeHI7tQAEgdOHDgx7+FxsbG UFZWZt9PTU2FrKwsC7J169ZZWBFYAGJTdK+vr7fX9+/fw/Pnz0NBQYGFld4XFhbaZ9IrMP0ZAET+ lFChVF1dbSssFeJHRkbC58+fQ3FxcaisrLTPjI6OhomJiWW9WAAr24JtDfn5+fZ1bm7OVldNTU1h y5YtFmTj4+NWoCewAMSqD0tFd62qDh8+/KOm1dvbGx49erQ8VwgA/7ZxVKGlW8XJycnw6tWr8PHj x9/9UQBY3sDS6urTp0+hv78/dHR0hKGhoaW5AgDIxNacwcHB0NLSEp4+fWpFeACIbWC9ffs2dHd3 2zYe1bZUkAeAWAaWmky1hUe3hHpKODAwkLkrA4A/CSw1i3758sVqWWySBhDrwPr27ZsF1tevX+17 AIhtYBUVFYW//vor1NXVWeFdHfAAsFwY4AcguYGlJ4QVFRW2KVpPDT98+JCZKwOAPw0sTSfdsGFD 2LRpU3jz5g2BBSDegaXWBgWWut77+voyc2UAsBQ1LO0pbGhosFvCGzdu/JdfAQDLV3Sfnp62FwDE PrA0LvnFixdLezUAkInA0sEUelIIALEPLM3D0vhkFeBVy2KrDoDYBZa25Gi0jDrd9ZRQBfifjwYD gFgElvYRakX18OHD0NPTY+8BINZ9WJs3bw7Pnj3jrEIA8Q0s3f7l5eXZjPeqqioCC0D8i+6a3KBz CgEg1oGlQX6c/Awg1oGlVgaNRb569aod9fX+/fvMXRkA/ElgqeCu+pWmjmqsDKNlAMQ2sAoKCmy0 jA6j0Fx39WPRMAog9vOw1NagW0LdGgJAbNsaNHVUwaWvABDrTveJiYnw7t07uy0EgFjvJRwdHbXx yOPj45m5KgBY6hqWnhIODQ39218BAMsbWE1NTTYPS++lt7c33L9/P4yNjdFUCiAegZWVlRXKysrC tm3b7FDVwsJCmzyqCaTp8AKATPjPCbN27VrrfNdcrAsXLlhosV0HQCb90ZJIqysd96V6lp4cslUH QGwDS60N3d3dtlUnJydn6a4KAJY6sLQ1R0P8SktLrZ6lplK1O3BrCCB2gaWQOnfunH2voLp9+3a4 ePGirbgAIFaBpSeGubm59r2eEmrOO6srAJnyx30ICqj0nKwnT55YJzwAxDawtFVHHe/6CgCZQqcn gJW1wtI5herDAoDYr7BUt6LYDiD2gaXeK22C1v5CPTWk6A4g9jWsNWvWhPXr11vxndUWgNgFlgb4 afNzV1eXtTSo8x0AYhlYOjFHBfd79+7ZYRScoAMgtoFVWVkZjh07Zk2jmu+u7TkAENsalob27d+/ 3/YP9vT0hJGREWpYAOIZWHoyWF9fH+bm5iyodKqOZr1zewgglm0N5eXlYefOnbbaUlBp5IwaSdXi oEI8rQ4AYtXWoD6s7du3W2hp7Iw2ROvV3t4epqamluqvAbCCLVlg6dawqKjIbg+rq6ttpaUi/J07 d0JBQYGtxDRCWYX6yclJ+7xWZRpJoxWYxi3riaO+X716tQ0F1HvdamoE86lTp8Lly5dt5VZbWxt2 7NhhKznNkp8/mll/l+bN62e5LQWSZUk3P2t1pZWWXlJcXBz27t1rXxVQairVDPjXr19bEOkJo0JO YabPqGivP1fnvFZpnZ2dVszftWtXOHr0aHjw4IEFllZyBw8etM/oaLG+vj679VT9rKKiwk700c8S WECyZHRaQ0lJSThz5oyFiEJJQVVXV2fNpirMNzc32xmHeXl59tLqa2ZmJmzcuNFCZ3p6OmRnZ9tq SoG3b98++70KKv2e9AEYt27dsj4whZ267XVm4uPHj+2WlOmnQHJkNLB0MIUCKX1eoYJGf6bbRq2G RKsphZEC7ciRI3ZLqCmm+fn54ezZs/YZfa/PqH1C9M/1XnR7qBVd+imlfr9eCkO9VzgCSIaMBpZC SCunNK2W0gGUlh6xnF6Rzaenj/Pp9vFn+vn5v0MUXvpd8/8eAP4lboCfbiNV7NeMeXXfA0iOxAWW ng5ev349tLS0hLGxsagvB8ASSlxgAUiuxAWWamZ6Kpku9ANIjsT9X62mU7U6bN261UJLrQ3MmweS IXGBpY75hoaGcP78eZvT1draGtra2tjPCCRA4gJLrRRqn1BwqQl1/rYdAL4lLrBEzafaBtTf3898 LiBBEhlY6qLX1pyXL1/a1hx1wqsnSw2lAPxKZGBp2472FB4/fty2+8iVK1dsugMAvxIbWDU1NaGq qsqaRzs6OmykDQDfEhlYKrxrL6GK7tqiow3QHEEG+JfIwJp/bqK26ijA1JOlp4ea4MDIZsCnRAeW TqPWzCy9dHuoFgetuPRiThbgT6IDS3OxNBTw0KFDtrJSPau3tzeMjo4SWIBDiQ6s9Fad3bt3/7hF 1ChmTT7VLHi9V50LgA+JD6z5VIjXmOXGxkZrc9AIGo1WBuDDigosFd/10oRSFeH1PQA/VlRgzadZ 8jroQnsOtfIaHBy07TwA4mvFBpbGz2jmu8Yp6xxDNZemRyprC49ePEkE4mXFBpaG/GmPoTrgdUyY 3uucRFFdS/sQ1cMFID5WbGCpiVQv1bJ0UKtWXGlaaakgf+3atUivEcDfrdjASlNo6ezEn+lWUVt6 dLSYVls6+BVAtFZ8YC1Eh76eOHHCvl66dCl0d3ezpQeIGIG1AAWVtvPoUAvNiNdTRK26AESHwFqA niDqdlH7D9URPzU1tbz/ZQD8HwJrEdp/qJOkFVazs7OLfRTAMiCwFqGOeN0aatqD9h6yjQeIFoG1 CK2qtFF6YGDAJjwAiBaB9YvDLNSTpT2HGlWj20MA0SGwfjEbXsX38vLyUFpaaqdIA4gOgfUbNSzN 1AIQPQLrN06Rbm5uDtXV1XbWobbssNICokFg/WZ7g/YcapuOAgxANAisXwSVCu+dnZ3h7t27Nk6Z 8w2B6BBYv2hr0JYcnWmop4UjIyMcdw9EiMBahM4v1KpKp+3oxYEVQLQIrEVo6qhWVdr0nJ5GCiA6 BNYi9Ss9DWxvb2dKAxATBNYCJiYmbEtOf3+/1bAARI/AWuhfTCplJ+toiF9ra6ttfgYQLQJrAepu 15QGnaijhlECC4gegbUIFdrb2tqoYQExQWAtUsMaHh62Vga1NwCIHoG1AM3B0sETKrrT0gDEA4G1 APVf6YBVBZa25wAIkfsfOtdu2FFTVGAAAAAASUVORK5CYII=