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review of hydrologic and hydraulic methods to determine instream environmental flow,Onikpo Claude Randyx Martin,,To provide to their lives, humans need water. So it is used for irrigation purposes, energy (hydropower station), water supply and so on. Then reservoirs, dams and weirs have been
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Review of hydrologic and hydraulic methods to determine
in stream environmental flow
ONIKPO Claude Randyx Martin
College of hydrology and water resources, Hohai University, Nanjing, P. R. China (210098)
E-mail: bb2r4@yahoo.fr
Abstract
To provide to their lives, humans need water. So it is used for irrigation purposes, energy
(hydropower station), water supply and so on. Then reservoirs, dams and weirs have been
constructed to manage the resource. Unfortunately, the trend has cost a lot in many part of the
globe and waters are been misused. Moreover, the population growth is widening the needs. But
water is not well treated and is loosen quality. As water and streams are related with their
environment fauna and flora subsistence, the ecology is then threatened. Scientist are now
looking for the way to restorate, maintain, environmental flows or prevent the depletion on the
waters. Here are first hand methods that are used to assess the state of the waters. Hydrologic
methods are used where hydrologic records are available. The range of variability approach based
on indicators of hydrologic alteration is a statistical tool that offers a view of the difference
between two states, waters or streams. It gives range on which the flows should varied. The
Tennant method and aquatic base flow method are region specific. But Tennant method
ameliorated by Tessmann is can be used anywhere with some adjustments. The application of the
Wetted-Perimeter and R2Cross methods requires development of a stage-discharge relation for a
riffle and determination of three hydraulic parameters (mean depth, mean velocity, and wetted
perimeter) for a range of flows. Those are hydraulic methods and historic data are useless in
these cases.
Keywords: in stream minimum flow’s methods.
Introduction
“Water is life”, so however hold and manage water is able to do so with life. Unfortunately,
water in hearth is encountering number of dangers. There is now a day a lot of stresses in water
management and the resource is been polluted. All other the world, human beings, have
constructed weirs, dams and such structures to efficiently manage water in accordance to our
needs. Climatologic changes and excessive use have led to lack of quality in water bodies.
Within the streams, the flows are diminishing, the ecological standard are been lost, and even all
the related fauna and flora lives are been endangered. Due to the situation, scientists have found
way to evaluate the damages where streams are already stressed, restore when applicable a
minimum condition and prevent if no harmful operation has taken place. One of those ways is the
determination of minimum in stream flow to provide planners and water policy maker with tools
on which they can act.
In this review, the most used methods are to be briefly explored: the Tennant method, the range
of variability approach method and the aquatic base flow methods, with appear to be hydrologic
methods, followed by the hydraulics ones which are the R2Cross method and wetted perimeter
methods based on parameters given by hydraulic model.
1. Methods for determining instream flow requirements
based on hydrologic records
The Range of Variability Approach (RVA), Tennant, and Aquatic Base Flow (ABF) methods use
statistical measures of discharge time-series values to determine streamflow requirements,
and
require long-term flow records from a streamflow-gaging station. In general, these methods
should be applied to gaged sites only if unregulated daily mean flow data are available, and can
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be applied to ungaged sites only by regionalizing flow statistics from streamflow-gaging stations
or by simulating natural flows (that is, simulating streamflows without water withdrawals).
1.1 Range of Variability Approach
Current strategies for managing, maintaining, or restoring riverine fishery and aquatic wildlife
resources and processes [1;2] suggest that the native biodiversity and integrity of river
ecosystems can be sustained by maintenance of the natural pattern of flow variability that led to
that diversity. The Indicators of Hydrologic Alteration
(IHA) method [3;4] was developed by The
Nature Conservancy to assess the range of variation of discharge for a river. The IHA method
characterizes the range of variation of discharge at a site by use of a suite of 33 hydrologic
indices. A recent study [5] demonstrated that the 33 hydrologic indices used by the IHA method
adequately represent most of the streamflow variation at a given site. Richter and others [3]
developed the RVA, an adaptive-management approach, to define flow-target ranges for river-
ecosystem management for each of 33 IHA flow indices. The
RVA flow ranges were defined as
either 1 standard deviation from the mean flow or the range between the 25th and 75th
percentiles (the IQR) of the mean flow. Because hydrologic data often depart from a normal
distribution, the IQR was selected as the measure of flow variability for this study. The RVA
flow-management targets define a range of flows similar to those that would have occurred
naturally; however, further investigation may be needed to demonstrate whether a flow range
defined by the IQR would be the best range biologically for specific species or life stages of fish.
1.1.1 Indicators of Hydrologic Alteration
Our general approach for hydrologic assessment is first to define a series of biologically relevant
hydrologic attributes that characterize intra-annual variation in water conditions and then to use
an analysis of the inter-annual variation in these attributes as the foundation for comparing
hydrologic regimes before versus after a system has been altered by various human activities.
Because the proposed method results in the computation of a representative, multi-parameter
suite of hydrologic characteristics—or indicators—for assessing hydrologic alteration, we refer
to it as the Indicators of Hydrologic Alteration (IHA) method. The IHA method has four steps:
Define the data series (e.g., stream gauge or well records) for pre- and post-impact periods in the
ecosystem of interest.
Calculate values of hydrologic attributes. We calculate values for each of 32 ecologically
relevant hydrologic parameters (Table 1) for each year in each data series, i.e., one set of values
for the pre-impact data series and one for the post-impact data series.
The 33 RVA statistics
are divided into five general groups (table 1).
Table 1: Range of Variability Approach: flow statistics for characterization of hydrologic variation [1]
IHA Statistic groups Regime characteristic Hydrologic attribute
Magnitude and monthly water
condition
Magnitude and timing Mean for each calendar month
Magnitude and duration of
annual extreme discharge
Magnitude and duration Annual minimum and
maximum for 1-, 3-, 7-, 30-,
and 90-day periods; number
of zero-flow days; 7-day
minimum flow divided by
mean flow for year.
Timing of annual extreme
discharge
Timing Julian date of the annual
minimum and maximum daily
flow
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Frequency and duration of
high and low pulses
Magnitude, frequency and
duration
Number of low-flow and high-
flow pulses per year; mean
duration of low-flow and
high-flow pulses
The rate and frequency of
hydrographic change
Frequency and rate of change Means of all positive and
negative flow differences
between consecutive daily
means; number of flow rises
and falls
Compute inter-annual statistics. We compute measures of central tendency and dispersion for the
32 parameters in each data series, based on the values calculated in step 2. This produces 64
inter-annual statistics for each data series (32 measures of central tendency and 32 measures of
dispersion).
Calculate values of the IHA. We compare the 64 inter-annual statistics between the pre- and post-
impact data series, and we present each result as a percentage deviation of one time period (the
post-impact condition) relative to the other (the pre-impact condition). The method can be used
to compare the state of one system to itself over time (e.g., pre- versus post-impact as just
described), or it can be used to compare the state of one system to another (e.g., an altered system
to a reference system) or current conditions to simulated results based on models of future
modification to a system.
The data we use in estimating all attribute values are daily mean water conditions (e.g., levels,
heads, and flow rates). The same computational strategies will work with any regular-interval
hydrologic data, such as monthly means, but the sensitivity of the IHA method for detecting
hydrologic alteration is increasingly compromised with time intervals longer than a day. Detec-
tion of certain types of hydrologic impacts, such as the rapid flow fluctuations associated with
hydropower generation at dams, may require data from even shorter intervals (e.g., hourly).
1.1.2 Hydrologic Attributes
Hydrologic conditions can vary in four dimensions within an ecosystem (three spatial dimensions
and time). If the spatial domain is restricted to a specific point within a hydrologic system,
however, (such as a measurement point in a river, a lake, or an aquifer), the hydrologic regime
can be defined in terms of one temporal and one spatial dimension: changes in water conditions
(e.g., levels, heads, rates) at a single location over time. Such temporal changes in water
conditions are commonly portrayed as plots of water condition against time, or hydrographs.
Our goal is to characterize the temporal variation of hydrologic conditions using attributes that
are biologically relevant yet sensitive to human influences such as reservoir operations, ground
water pumping, and agricultural diversions. Many attributes of hydrologic regimes can be used to
characterize the "physical habitat templates"[6;7;8;9] or "environmental filters"[10] that shape
the biotic composition of aquatic, wetland, and riparian ecosystems. The IHA method is based on
32 biologically relevant hydrologic parameters divided into five major groups to statistically
characterize intra-annual hydrologic variation (Table 1). These 32 parameters are based upon five
fundamental characteristics of hydrologic regimes:
The magnitude of the water condition at any given time is a measure of the availability or suit-
ability of habitat and defines such habitat attributes as wetted area or habitat volume, or the
position of a water table relative to wetland or riparian plant rooting zones.
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