Escoamento Superficial: Vazão, Hidrógrafa, Inundações, Modelos hidrológicos • Q - Volume de água passando por um ponto por unidade de área • Q=VA ou WDV Figure 1.18 modified from www.usda.gov/stream_restoration/chap1.html Vazão e hidrógrafa www.aquatic.uoguelph.ca/rivers/chphys.htm Hidrógrafa Anual Hidrógrafa de evento Figure 1.14 www.usda.gov/stream_restoration/chap1.html Efeitos da urbanização em uma hidrógrafa de evento Figure 1.15 http://www.usda.gov/stream_restoration/Images/scrhimage/chap1/fig1-15.jpg Caminhos do escoamento superficial www.usda.gov/stream_restoration/chap1.html Fig. - 2.10 Escoamento superficial • Ocorrem quando solos – Estão saturados (após pesada chuva) – Possuem baixa permeabilidade (ex. argila) • Fortemente influenciado pela paisagem e uso da terra – Região de exposição de rochas e base de lagos são impermeáveis ou tem baixa permeabilidade – Superfícies impermeáveis (estacionamentos) gera superfícies impermeáveis – Práticas de atividades florestais e agrícolas afetam o fluxo dos sistemas de drenagem Características Físicas que Afetam o Escoamento • • • • • • Uso da Terra Vegetação Tipo de Solo Área de drenagem Forma da bacia Altitude • • • • • Declividade Topografia Direção de orientação Padrão de drenagem Presença de lagos, reservatórios Inundações • Nós tendemos a ver inundações como eventos não previsíveis e desastrosos. De fato inundações podem ser previsíveis e são ocorrências necessárias. • Como a superfície impermeável afeta a probabilidade de inundações? www.aquatic.uoguelph.ca/rivers/chphys.htm • Intervalo de Recorrência – “1 em 100 anos de inundação” – = probabilidade de 0.01 ou 1% – Também referido como intervalo de recorrência – Definido como P = 1 / T, onde: • P = Probabilidade de Inundação • T = Intervalo de Recorrência Influência humana sobre as inundações • Rápido escoamento em rios canalizados aumenta a frequencia de inundações e o pico na hidrógrafa em pontos a jusante www.aquatic.uoguelph.ca/rivers/chphys.htm Associando Uso da Terra com a Qualidade da Água Menos Superfície Impermeável = Mais Água Superfície Impermeável • Fornece uma superfície para acumulação de poluentes • Leva ao aumento dos poluentes via escoamento e inundação • Inibe a recarga dos aquíferos Impactos das mudanças do uso da terra Efeitos Hidrológicos – – – – Ruptura do balanço natural da água Aumento do pico de inundação Aumento do escoamento superficial Maior frequencia de inundações Escoamento superficial e desenvolvimento www.mmsd.com/stormwaterweb/Volume1B.htm The Importance of Spatial Patterns Surface hydrologists have recognized the importance of spatial patterns of runoff generation, particularly as driven by topography (e.g. TOPMODEL, SHE, InHM, POWER, ……) ln(a / tanB) 15 But numerical experiments suggest that even small rates of recharge to deeper layers can dramatically influence patterns of wetness 13 11 9 7 5 CRWR GIS in Water Resources Consortium GIS Water Resourc es Bringing together these two communities by using a common geospatial data model http://www.crwr.utexas.edu/giswr ArcGIS Hydro Data Model Hydrography Hydrology Maidment, 2002 National Hydro Data Programs http://www.crwr.utexas.edu/giswr/nhdconf/nationalhydro.html National Elevation Dataset (NED) Elevation Derivatives for National Applications (EDNA) National Hydrography Dataset (NHD) Watershed Boundary Dataset Streams Drainage Areas Hydrography Channels Terrain Surfaces Rainfall Response Digital Orthophotos Thematic Layers supporting the Arc Hydro data model Michael Zeiler “Modeling Our World” How do we combine these data? Digital Elevation Models Watersheds Streams Waterbodies Maidment, 2002 An integrated raster-vector database Maidment, 2002 Integrating Data Inventory using a Behavioral Model Relationships between objects linked by tracing path of water movement Maidment, 2002 Intrinsic Hydrologic Modeling • Dr Tarboton – DEM-based hydrologic modeling • USGS – Stream Stats • Mean annual flows and pollutant loads http://ststdmamrl.er.usgs.gov/streamstats/expert.htm Dynamic Linked Library Can have Fortran subroutines in a DLL Muskingum flow routing Maidment, 2002 Independent Hydrologic Model VB progam reads and writes text files Maidment, 2002 Interfaces to Arc Hydro Data and Models Analysis, Modeling, Decision Making Arc Hydro Geodatabase Maidment, 2002 Three basic water problems • Too little water (Drought and water supply) • Too much water (Flooding) • Its dirty (Water Quality) Also have significant GIS effort on environmental issues related to water such as habitat assessment Maidment, 2002 1996 Texas Drought • George W. Bush, (then Governor of Texas) asked: “Tell me how much water we have, how much water we’re using and how much water we need” • State water officials did not have adequate answers Maidment, 2002 Texas Water Planning • 1997 Texas Legislature passed Senate Bill 1 which provided for – State-wide geospatial data development (topography, hydrography, land use, soils and orthophotos) – Water planning in 14 regions rather than state-wide – Assessment of water availability for all water permits Maidment, 2002 Hydrologic Cataloging Units (HUCS) Guadalupe Basin (4 HUC’s) • 2015 HUC’s cover continental US • average area ~ 1 county Hydrologic Unit Code = 12100203 Maidment, 2002 Water Availability in the Guadalupe Basin Stream Gauge (14) Water Diversion (440) Estimate water availability at each legally permitted water diversion point based on “naturalized” flow at stream gages and the effects of other permitted diversions Maidment, 2002 Digital Elevation Model San Marcos basin National Elevation Dataset 30m x 30m cells 11,000,000 cells to cover San Marcos basin 70,000,000 cells to cover Guadalupe basin Maidment, 2002 Drainage Area Delineated from the Digital Elevation Model Arc Hydro attribute DrainArea Maidment, 2002 Estimating Naturalized Flow at Diversion Points Qf Af Qd Ad Naturalized flow record at stream gage (50 years of monthly flows) Estimated flow record at diversion point Qd = Qf Ad Af Maidment, 2002 Length Downstream Flow distance (D to F) = Length Downstream (D) – Length Downstream (F) Length Downstream (F) F D D Seepage losses F Arc Hydro attribute LengthDown Length Downstream (D) Maidment, 2002 Flood Hydrology and Hydraulics ArcView Input Data DEM HEC-GeoHMS HEC-HMS Flood discharge ArcView Flood plain maps Hec-GeoRAS HEC-RAS Water surface profiles Maidment, 2002 Stream Definition: Waller Creek Austin Watersheds with Streams derived from Aerial Photographs Streamlines generated by the aerial photographs are not always continuous. Maidment, 2002 Information for Correcting Stream Network •DEM •Contours •Storm sewers •Orthophotos Maidment, 2002 Resulting Corrected Stream Subsequent steps: • Verification of corrected streams by flood hydrologists. • Running “tracer” program to connect arcs. • Burning of streams into DEM. Maidment, 2002 Area to Stream Outlet Connectivity Maidment, 2002 Area to Sewer Inlet Connectivity Maidment, 2002 Area to Area Connectivity: SchematicLinks built using NextDownID Maidment, 2002 TIWSS Texas Integrated Water Simulation System WRAP Water Availability SWAT Water Quality Arc Hydro Geospatial and Temporal Data HEC Models Flooding & Water Management Modflow Groundwater Maidment, 2002 Flood Plain Mapping Maidment, 2002 Connecting HMS and RAS Maidment, 2002 Flood Hydrology and Hydraulics ArcView Input Data DEM HEC-GeoHMS HEC-HMS Flood discharge ArcView Flood plain maps Hec-GeoRAS HEC-RAS Water surface profiles Maidment, 2002 HEC-RAS: Background River Analysis System model of the U.S. Army Corps of Engineers Input = cross-section geometry and flow rates Output = flood water elevations Cross-Section Schematic Normal Water Surface Flood Water Surface Floodway Left Bank Station Floodway Main Channel Right Bank Station Maidment, 2002 Waller Creek Watersheds Network Channel Maidment, 2002 HEC-RAS: Cross-Section Description Points describe channel and floodway geometry Bank station locations Water surface elevations and floodplain boundaries Maidment, 2002 Discharge at a Particular Cross-Section Maidment, 2002 HEC-RAS: Output Graphical Text File Maidment, 2002 Floodplain Mapping: Plan View Maidment, 2002 3D Terrain Modeling: Ultimate Goal Maidment, 2002