Hydrological Observatory description. Lisbon. Atlantic Ocean

Similar documents
Hydrologic Modelling of the Upper Malaprabha Catchment using ArcView SWAT

Rong Jiang. Map of River. Table of Basic Data. China 14. Serial No. : China-14

Fenhe (Fen He) Map of River. Table of Basic Data. China 10

Drought modelling. Application to case studies.

HYDROLOGIC AND WATER RESOURCES EVALUATIONS FOR SG. LUI WATERSHED

Appendix D. Model Setup, Calibration, and Validation

DEVELOPMENT AND APPLICATION OF A HYDROCLIMATOLOGICAL STREAM TEMPERATURE MODEL WITHIN SWAT

Overview of a Changing Climate in Rhode Island

12 SWAT USER S MANUAL, VERSION 98.1

Optimal Artificial Neural Network Modeling of Sedimentation yield and Runoff in high flow season of Indus River at Besham Qila for Terbela Dam

Catalonia is a small region, managed by an autonomous government (depending from Spain), and placed in NE. Spain, next to Mediterranean sea.

Dr. S.SURIYA. Assistant professor. Department of Civil Engineering. B. S. Abdur Rahman University. Chennai

PRELIMINARY ASSESSMENT OF SURFACE WATER RESOURCES - A STUDY FROM DEDURU OYA BASIN OF SRI LANKA

Calculating the suspended sediment load of the Dez River

Measures Also Significant Factors of Flood Disaster Reduction

1. Evaluation of Flow Regime in the Upper Reaches of Streams Using the Stochastic Flow Duration Curve

INTRODUCTION TO HEC-HMS

D DAVID PUBLISHING. Vulnerability to Landslides in the City of Sao Paulo. 1. Introduction. 2. Methodology

Section 4: Model Development and Application

July, International SWAT Conference & Workshops

1990 Intergovernmental Panel on Climate Change Impacts Assessment

Huong River. Serial No. : Viet Nam-8 Location: Thua Thien Hue Province, Viet Nam N 16 00' '

Effect of land use/land cover changes on runoff in a river basin: a case study

Vulnerability assessment of Sta.Rosa-Silang subwatershed using SWAT

GEOL 474/674 Practice Exam #1 Fall This exam counts 20% of your grade for this course; your instructions are as follows:

MODULE 8 LECTURE NOTES 2 REMOTE SENSING APPLICATIONS IN RAINFALL-RUNOFF MODELLING

The Stochastic Event Flood Model Applied to Minidoka Dam on the Snake River, Idaho

ENGINEERING HYDROLOGY

Effects of Physical Catchment Characteristics on River Flow

Simulation of sedimentation rates using the SWAT model A case study of the Tarbela Dam, Upper Indus Basin

SNOW AS POTENTIAL FLOOD THREAT

Thailand 8. Tonle Sap. Map of River

DESCRIPTION OF A HYDROLOGIC DATASET. Department of Environmental Sciences, Wageningen University and. Research Center. Wageningen, The Netherlands

Flood Inundation Analysis by Using RRI Model For Chindwin River Basin, Myanmar

The Importance of Snowmelt Runoff Modeling for Sustainable Development and Disaster Prevention

Drought Monitoring in Mainland Portugal

Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC

Climate also has a large influence on how local ecosystems have evolved and how we interact with them.

How to integrate wetland processes in river basin modeling? A West African case study

Geog Lecture 19

Integrating Hydrologic and Storm Surge Models for Improved Flood Warning

Table (6): Annual precipitation amounts as recorded by stations X and Y. No. X Y

Designing a Dam for Blockhouse Ranch. Haley Born

Tarbela Dam in Pakistan. Case study of reservoir sedimentation

Each basin is surrounded & defined by a drainage divide (high point from which water flows away) Channel initiation

The Hydrology and Water Resources of the Proglacial Zone of a Monsoonal Temperate Glacier

REDWOOD VALLEY SUBAREA

Impacts of precipitation interpolation on hydrologic modeling in data scarce regions

Basins-Level Heavy Rainfall and Flood Analyses

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

Building a European-wide hydrological model

Setting up SWAT to quantify water-related ecosystem services in a large East African watershed

Development and Land Use Change in the Central Potomac River Watershed. Rebecca Posa. GIS for Water Resources, Fall 2014 University of Texas

SPECIFIC DEGRADATION AND RESERVOIR SEDIMENTATION. By Renee Vandermause & Chun-Yao Yang

13 Watershed Delineation & Modeling

Soil Erosion Calculation using Remote Sensing and GIS in Río Grande de Arecibo Watershed, Puerto Rico

PRECIPITATION. Assignment 1

5/4/2017 Fountain Creek. Gage Analysis. Homework 6. Clifton, Cundiff, Pour, Queen, and Zey CIVE 717

Geostatistical Analysis of Rainfall Temperature and Evaporation Data of Owerri for Ten Years

STATISTICAL ESTIMATION AND RE- ANALYSIS OF PRECIPITATIONS OVER FRENCH MOUNTAIN RANGES

3.0 TECHNICAL FEASIBILITY

DROUGHT IN MAINLAND PORTUGAL

Tropical Montane Cloud Forests: Importance and Challenges in a Changing Environment

Hydrologic Overview & Quantities

INVESTIGATING CLIMATE CHANGE IMPACTS ON SURFACE SOIL PROFILE TEMPERATURE (CASE STUDY: AHWAZ SW OF IRAN)

Introduction Fluvial Processes in Small Southeastern Watersheds

VULNERABILITY TO FLOODING IN THE CITY OF SAO PAULO

VT EPSCoR Streams Project: Highlights & Future Plans. Streams Project Symposium April 27, 2009

Solution: The ratio of normal rainfall at station A to normal rainfall at station i or NR A /NR i has been calculated and is given in table below.

2015 Fall Conditions Report

HYDROLOGICAL MODELING OF HIGHLY GLACIERIZED RIVER BASINS. Nina Omani, Raghavan Srinivasan, Patricia Smith, Raghupathy Karthikeyan, Gerald North

Analyzing spatial and temporal variation of water balance components in La Vi catchment, Binh Dinh province, Vietnam

Estimating Probable Maximum Precipitation for Linau River Basin in Sarawak

A GIS-based Approach to Watershed Analysis in Texas Author: Allison Guettner

THE MAXIMUM QUANTITIES OF RAIN-FALL IN 24 HOURS IN THE CRIŞUL REPEDE HYDROGRAPHIC AREA

EFFICIENCY OF THE INTEGRATED RESERVOIR OPERATION FOR FLOOD CONTROL IN THE UPPER TONE RIVER OF JAPAN CONSIDERING SPATIAL DISTRIBUTION OF RAINFALL

Graduate Courses Meteorology / Atmospheric Science UNC Charlotte

Near Real-Time Runoff Estimation Using Spatially Distributed Radar Rainfall Data. Jennifer Hadley 22 April 2003

Development of the Hydrologic Model

MODELING RUNOFF RESPONSE TO CHANGING LAND COVER IN PENGANGA SUBWATERSHED, MAHARASHTRA

Rick Faber CE 513 Building a Base Map Lab #2 6/2/06

DOMINANT DISCHARGE IN THE KOR RIVER, FARS PROVINCE, IRAN

INFLOW DESIGN FLOOD CONTROL SYSTEM PLAN 40 C.F.R. PART PLANT YATES ASH POND 2 (AP-2) GEORGIA POWER COMPANY

Surface Processes Focus on Mass Wasting (Chapter 10)

Application of SWAT Model to Estimate the Runoff and Sediment Load from the Right Bank Valleys of Mosul Dam Reservoir

Executive Summary. Water Quantity

Technical Note: Hydrology of the Lukanga Swamp, Zambia

Modelling snow accumulation and snow melt in a continuous hydrological model for real-time flood forecasting

Flash Flood Flash Flood Forecasting and Early Warning System (FFEWS)

NATIONAL HYDROPOWER ASSOCIATION MEETING. December 3, 2008 Birmingham Alabama. Roger McNeil Service Hydrologist NWS Birmingham Alabama

Workshop: Build a Basic HEC-HMS Model from Scratch

Determination of Urban Runoff Using ILLUDAS and GIS

Study of Hydrometeorology in a Hard Rock Terrain, Kadirischist Belt Area, Anantapur District, Andhra Pradesh

PRELIMINARY DRAFT FOR DISCUSSION PURPOSES

Physical Geography: Patterns, Processes, and Interactions, Grade 11, University/College Expectations

Climate Change Impact Assessment on Long Term Water Budget for Maitland Catchment in Southern Ontario

Watershed simulation and forecasting system with a GIS-oriented user interface

Laboratory Exercise #4 Geologic Surface Processes in Dry Lands

Sedimentation in the Nile River

Application of Satellite Data for Flood Forecasting and Early Warning in the Mekong River Basin in South-east Asia

Transcription:

Sado river, Portugal Location The Sado River is located in the southwest of Portugal and it is the largest river that entirely flows in the Portuguese territory. The river originates at the south of the basin, in the Vigia mountain. The river flows initially from south to north (which is very unusual in Portugal) and subsequently turns west, towards the Atlantic Ocean. There are two major cities in the basin: Setúbal, located in the estuary, about 35 km south of Lisbon (the capital of Portugal), and Alcácer do Sal, about 40 km south of Setúbal (approx. 64,000 and 15,000 inhabitants, respectively). The tidal limit is ca. 20 km upstream Alcácer do Sal. Lisbon Atlantic Ocean Setúbal Alcácer do Sal Sado River Spain Catchment description The economic sectors in the basin are distributed roughly as follows: 15 % primary, 30 % secondary, and 55 % tertiary. The main use of the land is non-irrigated agricultural. Atlantic Ocean The maximum altitude of the basin is 230 m. The length of the river, its average slope and the basin area are 180 km, 1,5º/ 00 and 7 640 km 2. The basin is essentially a sedimentary cenozoic basin. There are numerous areas of conservation value and the endogenous ichthyofauna is mainly Rutilus alburnoides, and the introduced Anguilla anguilla. The Sado River estuary is also known for its important population of dauphins. Around 2001, the river basin plans for the major Portuguese rivers, including the Sado River, were accomplished, providing a very comprehensive and integrated characterization of the basins regarding all the water related issues, such as the physical systems and the ecosystems, and the economic and the legal systems. Key descriptors Basin area at the monitoring section 2713 km 2 Start of the rainfall and flow measurements 1933/1934 Mean annual rainfall 650 mm Mean annual runoff 91 mm Modulus of flow 7.8 m 3 s -1 Highest instantaneous peak flow and date 2008 m 3 s -1, Dec 1949 Lowest daily mean flow 0.0 m 3 s -1 (in dry years)

Hydrological summary Hydrological Observatory description According to the characterization carried out in the Sado River basin plan, the mean annual rainfall in the Sado River basin for the period between 1941/42 and 1990/91 was estimated at 621 mm, from which only 175 mm is surface runoff (mean annual flow volume of ca. 1350 hm³). Figure. Sado River basin. Mean annual rainfall (mm). Figure. Sado River basin. Mean annual flow (mm).

Within the years and among years, the flow regime is very irregular being characterized by several months with very low flows or even without any flow. The number of months without flow in some small river basins may reach up to 3 months. There are several dams located in the basin (mainly in tributaries of Sado River) which provide storage capacities for urban supply and for irrigation purposes. The most important dams are the following ones (between brackets, the name of the stream, the watershed area, if available, and the year in which the exploitation started): - Alvito (Odivelas water stream, 212 km 2, 1977); - Odivelas (Odivelas water stream, 1972); - Campilhas (Campilhas water stream, 109 km 2, 1954); - Fonte Serne (Benatelar water stream, 30 km 2, 1976); - Monte da Rocha (Sado River, 1972); - Pego do Altar (Santa Catarina water stream, 743 km 2, 1949); - Roxo (Roxo water stream, 351 km 2, 1967); - Vale do Gaio (Xarrama water stream, 509 km 2, 1949) The storage capacity created by the previous dams is approximately 220 hm³/year, that is to say, only about 16 % of the available water resources. Due the locations of the dams and to their relatively small storage capacities the flows in the basin can be considered as approximately representing the natural regime. However, effluent returns from waste water treatment facilities are significant in some river reaches.

Figure. Sado River basin. Main dams. Data availability Most of the rainfall and flow data are in the public domain and available in the internet. Supporting data e.g. describing geology, soils, elevation, and land use, are also available, namely in the Sado River basin plan. Facilities The Instituto da Água, IA (which is the water authority in Portugal), undertakes flow monitoring at a large number of sites within Sado River basin, with the longest series of records starting in the early 1930s. According to the IA there are 39 stream gage stations in Sado River basin, from which a significant number is presently inactive. Only 14 stations have flow records, most of them during very short recording periods. From those 14 stations, 3 are located in the Sado River, one of them presently deactivated. The IA also maintains a network of water quality monitoring stations within the catchment. Other meteorological data, besides rainfall, are collected by the IA and also by Portuguese Meteorological Institute.

Figure. Sado River basin. Flow monitoring network: quantity (left side) and quality (right side).

Table. Sado River basin. Annual flow records at the stream gauging stations. Taking into account that Moinho da Gamitinha stream gauging station dominates a significant portion of the upstream basin of Sado River, also receiving water from São Domingos, Campilhas,

and the Roxo rivers, and that it has a considerable long recording period it could become part of an observatory system. Figure. Schematic location of Moinho da Gamitinha stream gauging station. Value to network The Sado Observatory provides data for hydrological conditions that are common in its region but which are quite different from those monitored by many other observatories in the network. Some important distinguishing features of the Sado catchment in the European context are: The large size of the basin, long time series, the low area specific runoff, and the long periods without flow in certain subbasins. Contact for further information Joao Hipolito, CEHIDRO/IST, jh@civil.ist.utl.pt Manuela Portela, CEHIDRO/IST, mps@civil.ist.utl.pt Links for the download of Sado River basin plan: http://www.ccdr-a.gov.pt/app/pbhsado/