Water and Environmental Engineering Institute. Wt Water Resources Engineering i Group. Technical University of Valencia.

Transcripción

1 TECHNICAL OVERVIEW OF AQUATOOL Joaquín Andreu, Javier Paredes, Abel blsolera Water and Environmental Engineering Institute. Wt Water Resources Engineering i Group. Technical University of Valencia. asolera@hma.upv.es es WR Systems INTEGRATE at the BASIN SCALE: WaterBodies, W.Uses (Demands), Infrastructures AQUIFERS Complex relationships that affect water availability both in SPACE &TIME Implications on all aspects (w. quality, environment, economy, ) can only be captured by means of adequate integrated modeling

2 Integrative DSS In order to complete basin identification, and for the development of further analysis activities, it is crucial to have a DSS integrating, in a single model and for the entire basin, allthe relevant surface water elements (e.g., river reaches, lakes,...), aquifers, infrastructures (e.g., dams, reservoirs, diversions, returns, groundwater abstraction,...), water uses (e.g., agricultural uses, urban uses, industrial uses,...), environmental requirements on flows, water rights and priorities, and operating rules for the system. DSSShells Shells (DSSS) Generalized tools to build DSS, bring the possibility of relatively easy, systematic and homogeneous application of DSS over wide regions, as for instance many river basins in Spain provide guidance in the development of the DSS AQUATOOL: DSSS designed for integrated management of complex water resource systems

3 The DSS allows the user to: Input and modify the space configuration of a water resource system Edit and manage geo referenced data bases containing physical characteristics, management characteristics perform simulation runs of the management for multiple different alternatives, time horizons and scenarios, using different hydrological data and also different operating policies. Obtaining multi-objective performance indicators (reliability, resiliency and vulnerability); and environmental requirements indicators. Aquatool structure DESIGN UNIT (AQUATOOLDMA) DATA BASE GIS HYDROLOGIC OPTIMIZATION HYDROLOGIC (OPTIGES) SIMULATION (SIMGES) EIGENVALUES GROUNDWATER (AQUIVAL) RISK SIMULATION (SIMRISK) WATER QUALITY SIMULATION (GESCAL) HYDRO COST VALUATION HABITAT (ECOGES) SIMULATION (CAUDECO) RAINFALL RUNOFF (EVALHID) GRAPHICAL ANALISIS UNIT (GRAPHDMA) Implemented on Design Unit Not implemented yet

4 Design tool A unique and user friendly interface that provides easiness of data management, model use and results analysis. The DSS allows the user to: Input and modify the space configuration of a water resource system Edit and manage georeferenced data bases containing physical characteristics, management characteristics Direct acces to the different calculation modules Graphical annalisis of results Define and compare different alternatives. Data base designed as MS Acces DB Connection to GIS shp HIDROLOGIC SIMULATION and OPTIMIZATION (SIMGES AND OPTIGES) Elements Resources: given inflows Transport system: channels and rivers Regulation: reservoirs and aquifers Hydropower stations Consumptive demand system: Consumptive demand system: channels, water users and returns to water system

5 " Simulacion historica. Demanda -1" " Simulacion historica. Demanda -1" " Simulacion historica. Demanda -1" SIMGES & OPTIGES: WATER MANAGEMENT SIMULATION AND OPTIMIZATION for given hydrologic inflows scenarios INTERNAL PROCESS: In every month, a network flow optimization i algorithm (Out-of of- kilter) finds a flow solution which is compatible with the physical restrictions, and tries to minimize weighted deviations from operating rules (Target supplies, flows, and reservoir storage); respecting priorities Iteration is needed to take into account non-linearities and surface-groundwater relationships Jucar-4 (Caudal tramo río tipo 1) Sueca (Suministro superficial a demanda) 1 Jucar-12 (Caudal tramo río tipo 1) Analisis of management of drouht problems SYSTEM INFLOWS long duration of drought Climate change REGULATION IN RESERVOIR Operation rules are needed to reduce impact of drought

6 WATER QUALITY SIMULATION MODULE Water quality model coupled with a simulation model.. SIMULATES W.Q. FOR THE ENTIRE SYSTEM Mechanicistic model for rivers and reservoirs. Conventional constituents. RIVER o Temperature o Nitrogen cycle o o Arbitrary constituents DO + OM o RESERVOIR Eutrophication problem. NITROGEN CYCLE ORGANIC CYCLE PHOSPHORUS CYCLE NEW ING OF TOXIC POLLUTANTS W.Q. results used to modify constraints in simulation & to predict the impact of corrective measures in an integrated way at basin scale and assessing the real efficiency of the measures

7 j j j CAUDECO Ecological flows module Caudales. Simulacion base OBJECTIVE OF THE MODULE Estimation of Total Habitat Seriesin in different water bodies, species and ages for different management alternatives. oct 8 se ep 81 ag go 82 jul 83 ju un 84 ay 85 br 86 mar 87 fe eb 88 en ne 89 dic 89 no ov 9 oct 91 se ep 92 ag go 93 jul 94 ju un 95 ay 96 br 97 mar 98 fe eb 99 en ne dic no ov 1 oct 2 se ep 3 ag go 4 jul 5 m3/s m a m a 6 5 Hábitat Total. (Masa28.1/Barbo/Adulto) Curva SPU oct 8 ago 81 jun 82 abr 83 feb 84 dic 84 oct 85 ago 86 jun 87 abr 88 feb 89 dic 89 oct 9 ago 91 jun 92 abr 93 feb 94 dic 94 oct 95 ago 96 jun 97 abr 98 feb 99 dic 99 oct ago 1 jun 2 abr 3 feb 4 dic 4 oct Q (m3/s) Bioperiodos Especie Etapa Oct Nov Dic Ene Feb Mar Abr May Jun Jul Ago Sep Barbo Alevín Barbo Adulto Cacho Alevín Cacho Juvenil Cacho Adulto INCORPORTAING ECOLOGICAL ASPECTS IN PLANNING AND MANAGEMENT STUDIES CAUDECO: waited habitat on management alternatives OBJECTIVE To obtain Habitat Time Series for different species and water bodies under a defined water management of a water resources system CAUDECO inputs SIMGES output Instream flow m 3 /s oct 96 oct 97 oct 98 oct 99 oct oct 1 oct 2 oct 3 oct 4 oct 5 oct 6 oct 7 oct 8 m Habitat studies Weighted Usable Area Flow curve m 3 /s Habitat studies Bio Periods Species Size Oct Nov Dec Jan Feb Mar Apr May June July Aug Sept Luciobarbus b. Large Luciobarbus b. Small Squalius c. Large Squalius c. Medium Squalius c. Small % CAUDECO output Habitat Time Series Other outputs Habitat Duration Curves Cumulated Habitat Time Series Other habitat availability indicators 25 oct 96 oct 97 oct 98 oct 99 oct oct 1 oct 2 oct 3 oct 4 oct 5 oct 6 oct 7 oct 8

8 Riskannalisys unit: Simrisk Probabilidades de Fallo en Demanda. Demanda: RegCabeceraTajo Probabilidades de Estado en Embalse. Embalse: Buendia volumenes en hm3 Probabilidad de Excedencia. Buendia (Jun - 21) Probabilidad(%) Deficit (75-1) Deficit (5-75) Deficit (25-5) Deficit (2-25) obabilidad(%) Pr Volumen Embalse (hm3) V Mar-2 Feb-2 Ene-2 Dic-1 Nov-1 Oct-1 Sep-1 Ago-1 Jul-1 Jun-1 May-1 Abr-1 Mar-1 Feb-1 Ene-1 Dic- Nov- Oct- Sep- Ago- Jul- Jun- May- Abr- Meses Mar-2 Feb-2 Ene-2 Dic-1 Nov-1 Oct-1 Sep-1 Ago-1 Jul-1 Jun-1 May-1 Abr-1 Mar-1 Feb-1 Ene-1 Dic- Nov- Oct- Sep- Ago- Jul- Jun- May- Abr- Meses Probabilidad % Risk based management method Probabilidades de Fallo en Demanda. Demanda: RegCabeceraTajo 25 Deficit (75-1) Deficit (5-75) Deficit (25-5) Deficit (2-25) Probabilidad(%) Abr- Jul- Jun- May- Ago- Mar-1 Feb-1 Ene-1 Dic- Nov- Oct- Sep- Abr-1 Meses Jul-1 Jun-1 May-1 Ago-1 Mar-2 Feb-2 Ene-2 Dic-1 Nov-1 Oct-1 Sep-1 Probabilidades de Estado en Embalse. Embalse: Buendia volumenes en hm obabilidad(%) Contreras hm3) ume in Alarcón, C and Tous dams (h Pr Volu mes ene feb mar abril may jun Supply of 24/5 With measures Minimum volume jul ago sep Mar-2 Feb-2 Ene-2 Dic-1 Nov-1 Oct-1 Sep-1 Ago-1 Jul-1 Jun-1 May-1 Abr-1 Mar-1 Feb-1 Ene-1 Dic- Nov- Oct- Sep- Ago- Jul- Jun- May- Abr- Meses

9 Risks associated to planning decisions (design of the system): unconditioned multiple future hydrological scenarios for very long time horizons after the effect of initial conditions are dissipated, the probabilities stabilize: ilidad(%) 1 5 Probabilidades de Estado en Embalse. Embalse: ARENOS volumenes en hm Long term measures Probab Jun-1 Feb-1 Oct-9 Jun-9 Feb-9 Oct-8 Jun-8 Feb-8 Oct-7 Jun-7 Feb-7 Oct-6 Jun-6 Feb-6 Oct-5 Jun-5 Feb-5 Oct-4 Jun-4 Feb-4 Oct-3 Jun-3 Feb-3 Oct-2 Jun-2 Feb-2 Oct-1 Jun-1 Feb-1 Oct- Meses EVALHID HERRAMIENTA PARA LA EVALUACIÓN DERECURSOS HÍDRICOS ENLAZADA CON LOS OS DE SIMULACIÓN DE LA GESTIÓN CARACTERÍSTICAS. Modelo agregado semidistribuido (modelación por subcuencas de tamaño libre). Varios modelos disponibles en la misma aplicación: Témez, HBV, Sacramento, GR2M, Funcionamiento independiente o conjunto con SIMGES. Se utilizar para obtener algunas o todas las series de aportaciones Proporciona series de recarga por lluviaa a acuíferos (segúnmodelos) Escala temporal configurable (diaria, mensual). Las salidas de las cuencas se pueden acumular en puntos de desagüe. Posibilidad, para cualquier modelo, de no modelar la parte subterránea y sacar la infiltración por archivo para que sea una entrada de acuífero de Aquatool u otro programa.

10 Datos climáticos Parámetros O TÉMEZ O HBV EVALHID O SACRAMENTO 17 PARÁMETROS 6 VARIABLES DE ESTADO SERIES APORTACIONES: SUPERFICIAL / RECARGA/ ETC O DE ANÁLISIS DE LA GESTIÓN GIS and Aquatool Link Aquatool GIS (optional) Database connection Edit elements data on GISwindow View results on GIS window Export results syntesis to GIS format Export results to GIS WEB support Flow model dlon GIS map (future)

11 Connect aquatool elements to GIS elements Extrapolación de resultados a masas de agua

12 Vista en GIS con tabla de atributos Conectar a base de datos. Los visores de GIS ofrecen la posibilidad de vincular una capa de SHP a una tabla de base de datos. Para ello solo hace falta disponer de un campo común. Para hacerlo en arcview el proceso es el siguiente: 1. Exportar el esquema en forma de un SHP por cada tipo de elemento. 2. Cargar la capa de imagen SHP en arcview (p.e. "aqtdemandas.shp") 3. Hacer una copia del archivo de base de datos del modelo en otro con extensión "mdb" 4. Cargar la tabla de datos en arcview (g (igual que se cargan las imágenes). 5. Sobre la leyenda de la capa de imagen pedir la opción "join" (btn dcho "Joins and relates" "Join " 6. El menú siguiente pide seleccionar los campos enlazados en ambas capas. Los campos a enlazar son "CODELEMENT" con "CodElemento"

13 Export and view aquatool s results on GIS Yearly demand + deficit Maximal déficit on (1,2 or 1) years Flow model on GIS map

14 Interactionwith software developed by collaboration with other entities SMAA Aquatool s aquifer simulation model (aquival) managed on a GIS assisted tool (company: TRAGSATEC) HIDROSPATIUM General spatial data dt infrastructure. It implements data and results of aquatool. (company : Geoslab and ZetaAmaltea) Modules development Aquatool short history Application Simulation i module Duero, Turia, Palancia, Pl Guadalfeo Optimization module; Segura; Eugui, Estella y Guindano en groundwater module Navarra; Iregua en Logroño; Ebro 1992 Graphic interface (simwin, optiwin) Hydrologic Plans: Júcar, Tajo, Segura, Guadiana, others?; PHN: Spain 1997 Risk analisis modules (simrisk, mashwin, ) 2 Water quality simulation module (gescal) Jucar, Tajo, Segura Water Framework Directive: Jucar Pilot basin; Duero; Segura; Some European and American basins (research works) 26 New graphic interface Hidrologic Plans: all spanis basins (simges and gescal) Habitat simulation module (Caudeco) Júcar, Duero