Introduction
to Hydrology
Lecture content
1) Definition and scope of Hydrology
2) Examples of water resources and engineering problems to which Hydrology provides
answers
3) Methodological approach to hydrological sciences
4) Water balance and the hydrological cycle
5) Hydrological processes overview
6) Hydrological data and space and time scales
Goal: to understand the philosophy of representing the functioning of
hydrological/natural systems through an engineering (quantitative)
description
Hydrology – Introduction - Autumn Semester 2017 1
Definition and scope
Hydrology – Introduction - Autumn Semester 2017 2
Hydrology - Definition
“Hydrology, which treats all phases of the earth's water, is a subject of great
importance for people and their environment. Practical applications of hydrology
are found in such tasks as the design and operation of hydraulic structures, water
supply, wastewater treatment and disposal, irrigation, drainage, hydropower
generation, flood control, navigation, erosion and sediment control, salinity
control, pollution abatement, recreational use of water, and fish and wildlife
protection. The role of applied hydrology is to help analyze the problems
involved in these tasks and to provide guidance for the planning and
management of water resources”.
[Chow et al. 1998]
WATER USE vs WATER CONSERVATION
ê
SUSTAINABLE WATER RESOURCES MANAGEMENT
Hydrology – Introduction - Autumn Semester 2017 3
Elements of
Hydrology and
other
geosciences
Hydrology as
science behind
water resources
problems
Hydrology – Introduction - Autumn Semester 2017 4
Examples of water engineering problems
Hydrology – Introduction - Autumn Semester 2017 5
Examples of water resources engineering problems to which
Hydrology can provide answers
Control of excess of water Conservation (quantity) Conser-
vation
(quality)
Studies and Flood storm Storm Bridges, Sewerage Water supply Irrigation Hydropower Navigation Pollution
facilities mitigation drainage culverts control
required
How much - - - - x x x x x
water is
needed?
How much
water can be
expected?
Min. flow - - - x x x x x x
Annual yield - - - x x x x x x
Flood peaks x x x - x x x x
Flood volume x x - - - - - - x
Groundwater - x - x x x - - x
Hydrology – Introduction - Autumn Semester 2017 6
Hydrology for Water Resources Management How much water is needed?
How much water can be expected?
digital.lib.uiowa.edu/gpc
Hydrology – Introduction - Autumn Semester 2017 7
How much water is needed?
How much water can be expected?
Hydrology – Introduction - Autumn Semester 2017 8
image provided by electrical-engineering-portal.com
Hydrology – Introduction - Autumn Semester 2017 9
Saltina, Brig – flood (1993)
Debris flow Brig, Jean-Pierre Jordan 1993
Debris flow Brig, Roberto Loat BAFU 1993
Hydrology – Introduction - Autumn Semester 2017 10
W. Gujer, Siedlungswasserwirtschaft, 2002
Frankfort Municipal Utilities
Hydrology – Introduction - Autumn Semester 2017 11
[http://water.usgs.gov/outreach/Posters/water_quality/images/WaterQuality_BW.jpg]
Hydrology – Introduction - Autumn Semester 2017 12
140 NATURAL (1929-1953)
POST-DAM (1954-1974)
120 RECENT (1982-2003)
100
Qm (mil m3)
80
60
40
20
MAY
JUN
MAR
AUG
NOV
JAN
JUL
DEC
APR
OCT
SEP
FEB
Q347 - Restwassermenge
Bundesamt für Umwelt BAFU
Hydrology – Introduction - Autumn Semester 2017 13
How much water is needed?
How much water can be expected?
Hydrology – Introduction - Autumn Semester 2017 14
Hailey King, NASA
[http://oceanexplorer.noaa.gov/edu/learning/7_water_cycle/activities/groundwater.html#activity]
Hydrology – Introduction - Autumn Semester 2017 15
Flood irrigation Trickle irrigation
http://photogallery.nrcs.usda.gov/Index.asp Wordpress.com
Furrow irrigation
USDA Natural Resources Conservation Service
Hydrology – Introduction - Autumn Semester 2017 16
How much water is needed?
How much water can be expected?
Hydrology – Introduction - Autumn Semester 2017 17
http://www.britannica.com/technology/water-supply-system/Water-treatment
Hydrology – Introduction - Autumn Semester 2017 18
Hydrology – Introduction - Autumn Semester 2017 19
Auengebiet Gérine im Kanton Freiburg (Foto J.Cl. Bersier, Freiburg)
Fischabstieg am WKW Elz; Quelle: Archiv Wasserkraft Volk AG
Hydrology – Introduction - Autumn Semester 2017 20
http://www.power-technology.com
Hydrology – Introduction - Autumn Semester 2017 21
How much water is needed?
How much water can be expected?
Hydrology – Introduction - Autumn Semester 2017 22
Flood Wallis, 2000
Unwetter 2000 im Wallis (2), PLANAT 16.10.2000
Unwetter 2000 im Wallis (1), PLANAT 16.10.2000
Unwetter 2000 im Wallis (3), PLANAT 16.10.2000
Hydrology – Introduction - Autumn Semester 2017 23
Ufererosion in Wolfenschiessen, Kanton NW 27.08.2005
Hydrology – Introduction - Autumn Semester 2017 24
Methodological approach
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The reference geographical unit: the river basin
terms used as synonymous of “river basin”:
• watershed
• catchment
Process understanding river network
(measurement, observation)
ê
Mathematical Modelling
(simulation, prediction)
unsaturated
soil zone
groundwater/aquifer
(saturated)
http://research.ncl.ac.uk/shetran/images/ShetranProcesses.jpg
Hydrology – Introduction - Autumn Semester 2017 26
Methodological approach
The watershed as hydrologic
system
Physical
Hydrology Engineering
Hydrology
[Chow et al. 1998]
Hydrology – Introduction - Autumn Semester 2017 27
Physical Hydrology / System Engineering Hydrology / System
= Process understanding, Monitoring, Measuring … = Modelling, Conceptualisation, Reproducing processes…
Catchment/ Catchment characteristics
What is a catchment? Influence of catchment characteristics on the hydrograph
How to describe catchment characteristics? (e.g. Relief, Land use, stream density etc.)
e.g. Hypsometric curve, Drainage density
• Mechanisms
• Distribution in Switzerland
Precipitation Frequency analysis
• Measurement (instruments, errors) DDF / IDF Design hyetograph
• Areal rainfall
• Storm rainfall SCS – method, Alternating block method,
Generating
Triangular hyetograph, Chicago, Huff
Snow hydrology
Potential input
• Measurement techniques
• Characterising variables
• Snowmelt
• Snowmelt
modelling Modelling R-R-Transformation
Reasons for modelling
Time and space scales of R-R-Modelling
Structure of a hydrological model / Model components?
R-R-Modelling
Types of models
Precipitation Modelling methods:
excess Evapotranspiration • Measurement/ Estimation/ Evaporation Lumped; Distributed, Semi-distributed
Calculation
• AET vs. PET Modelling approaches for runoff concentration:
Infiltration - Basin response function (via Nash-cascade, Isochrones method, etc. )
• Measurement Estimation of model parameter (Method of moments, Least square)
• Mechanisms: Dunne, Horton
Interception
• Infiltration models: Soil
Horton, SCS-CN, Phi-Index,
Percentage method moisture
Surface flow
Subsurface flow
Potential input
Groundwater flow
Total runoff
• Measurement
• Influencing factors
• Streamflow regimes
• Hydrologic yearbook / flow duration curve
• Hydrograph analysis / Hydrograph components/
Baseflow separation
Erosion & Sediment transport Flood frequency analysis
• Problems Using runoff data from measurements or
• Influencing factors via synthetic precipitation or runoff data
• Estimation of erosion: U.S.L.E. Deterministic Probabilistic
• Types of sediment transport e.g. Probable
Maximum Flood (PMF)
direct indirect
Extreme value Regionalisation
analysis (Index-Flood)
R-R-Modelling
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Water balance
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How much water is available on our planet?
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Water balance
• The water balance defines the conservation of mass across the different compartments
of the hydrological cycle (atmosphere, water bodies, soil and ground, vegetation,
snowpack and ice, …)
• it is computed with regard to a reference geographical unit / scale
• Earth
• continent
• region
• river basin
• soil column
•…
• The concept of conservation of mass implies the identification of an incoming and an
outgoing flux, and of a storage variation over a given unit of time.
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The hydrological cycle
[Chow et al. 1998]
32
Hydrology – Introduction - Autumn Semester 2017 32
Global annual water balance
estimates and not measurements
[Chow et al. 1998]
Hydrology – Introduction - Autumn Semester 2017 33
Water balance – continental scale
average annual volumes
estimates
and not
measurements
average annual volumes per area
[L'vovich, 1973]
Hydrology – Introduction - Autumn Semester 2017 34
Water availability – continental scale estimates
and not
measurements
Hydrology – Introduction - Autumn Semester 2017 35
Water balance – fluxes
Volumes volumes
and [km3]
average residence time
of water in the different
compartments of the
hydrological cycle fluxes
[km3/yr]
estimates and not measurements
residence time in the atmosphere:
T = V / Q
V = 14⋅103 km3
Q = (416 + 108)⋅103 = 524⋅103 km3/yr
T = 14/524 ⋍ 0.027 yr ⋍ 9.75 days
Hydrology – Introduction - Autumn Semester 2017 36
Water balance – country scale
the water balance is
computed for the
hydrologic year
(in CH starting in
October)
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Water balance – river basin scale
P = R + E + ΔS
[Hydrologie Skript]
Hydrology – Introduction - Autumn Semester 2017 38
Water balance of the Nile river (process variability in space and time)
http://www.youtube.com/watch?v=xqjXTebE5I0
http://svs.gsfc.nasa.gov/cgi-bin/details.cgi?aid=4044
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Water balance – urban scale
water
wastewater
food
waste
!
Hydrology – Introduction - Autumn Semester 2017 40
The hydrological cycle at the event scale
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Flowchart representation of the hydrological cycle
[Chow et al. 1998]
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Characteristic temporal and spatial scales
and
hydrological data
Hydrology – Introduction - Autumn Semester 2017 51
Space and time scales of hydrological processes
typically:
space: 1 m “point scale” (1D)
1 m2 (2D)
ê
106 m (1D)
106 km2 “watershed” (2D)
time: 1 s “instantaneous”
ê
1 year
Hydrology – Introduction - Autumn Semester 2017 52
Technical space and time scales of hydrological processes
[s]
1 3.6 103 ≈8.6 104 ≈2.6 106 ≈3.2 107
instantaneous hourly daily monthly / annual multi annual
seasonal
1 point
hillslope () () ()
[m]
watershed
regional
>106 global
used, consistent with typical process scales
() generally not used, inconsistent with typical process scales
Hydrology – Introduction - Autumn Semester 2017 53
Temporal and spatial nature of hydrological data
point / local
continuous = sequence of instantaneous data
hillslope
discrete =
a) aggregated from continuous to larger
temporal scales (e.g. from 1h to 1 day, watershed
from 1h to 1 month, etc.)
b) measured at discrete times
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Use of hydrological data in water engineering problems
• average values are used in
planning problems and
preliminary analyses
• extreme values are used to
design water engineering
infrastructures against complexity of the analysis
extreme events (e.g. floods,
low flows, droughts, …) uncertainty
• continuous data (time series)
are used in management and required data
and optimization of water
resources infrastructures
PLANNING DESIGN MANAGEMENT
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Water engineering problems and hydrologic variables
Water engineering problem Typical reference hydrologic variable
Design of flood protection measures Peak flow discharge
Flood volume and duration
Design of storm drainage Extreme values of rainfall depth
Peak flow discharge
Design of a reservoir Annual water yield
Seasonal/monthly water yield
Design of an irrigation system Evapotranspiration
Soil water content
Landslide risk analysis Extreme values of rainfall depth and
intensity
River bed erosion River discharge
Surface erosion Overland flow
Water allocation to multiple users Discharge time series
(hydropower, irrigation, water supply, …)
… …
Hydrology – Introduction - Autumn Semester 2017 56
Uncertainties
HYDROLOGICAL MODEL CONCEPTUALIZATION
ê
meteorological forcing simulated hydrological variables
(precipitation, temperature, • watershed representation (topography, (streamflow, soil water content,
radiation, wind, etc.) land cover, soil, …) evapotranspiration, …)
• mathematical model of basin hydrological
processes (infiltration, runoff formation,
evapotranspiration, etc.)
typical uncertainties typical uncertainties
output is uncertain
• due to lack of data • due to poor knowledge
of the physical system ê
• due to climate variability
• due to spatial design values are
• uncertainties due to heterogeneities and
spatial variability of uncertain
anisotropies
meteorological forcing ê
• model approximations
• uncertainties due to
probabilistic analysis
measurement errors • model parameters
Hydrology – Introduction - Autumn Semester 2017 57
From physical processes to hydrological models
Models can be
• empirical: description of hydrological processes based
on cause-effect relationships experimentally
derived or inferred from data analysis
• conceptual: description of hydrological processes based
on the conceptualisation of the physical
mechanisms
• physically based: description of hydrological processes based on
the representation of the physical mechanisms
by means of physics laws
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Keywords
• water balance • precipitation • river basin /
watershed /
• time scales • interception
catchment
• spatial scales • evaporation
• river network
• volumes • evapotranspiration
• fluxes • infiltration
• storage • percolation
• hydrological cycle • unsaturated zone
• systems analysis • saturated zone
• hydrological data • water table
• continuous • groundwater
• discrete • runoff
• event • overland flow
• hydrological process • interflow
• hydrological model • baseflow
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