The Central Water Commission (CWC) has recently released (in June 2019) a report
“Reassessment
of Water Availability in India Using Space Inputs” that re-assesses the
average annual water
resources of the country with technical support of NRSC on similar lines to
that of the pilot studies completed in June 2013 by CWC and NRSC on Godavari
and Brahmani-Baitarani river basins.
As per the
report, “The average annual water resource of the basins for the study period
of 30 years (1985-2015) has been assessed as 1999.20 BCM. The mean
annual rainfall of the basins for the study period of 30 years is 3880 BCM.
However, utilisable water resources estimation was not in the scope of current
study.” (Page xii)
A perusal of the current report and the
methodology used supports this assertion, and we can take these figures with a
higher level of reliability and confidence (subject to the caveats and
limitations outlined by the report itself at page 96 and some questions raised
by us later on in this note.)
Comparing
with Earlier Studies
The
comparative figures for available water resources of India for this and
earlier studies are given below, compiled from the Report itself (Table 2 at
Page 20).
Sr.
No.
|
Year
|
Agency
|
Water
Resources Assessed at (BCM – Billion Cubic Meters)
|
Remarks
|
1
|
1901-03
|
First Irrigation Commission/using
coefficients of runoff
|
1443
|
For pre-independence India
|
2
|
1949
|
Khosla's empirical formula
|
1673
|
|
3
|
1960
|
Central Water and Power Commission
|
1881
|
Statistical
analysis of flow data wherever available and rainfall-runoff relationships
wherever data were meagre
|
4
|
1988
|
Central Water Commission
|
1880
|
General water balance approach
|
5
|
1993
|
Central Water Commission
|
1869
|
|
6
|
1999
|
National Commission for Integrated
Water Resources Development (NCIWRD)
|
1953
|
|
7
|
2019
|
CWC + NRSC
|
1999
|
The
differences in the last three or four studies are not much and can be
attributed to some lack of data, some assumptions and other factors.
However the
current study has not estimated the most crucial part – that is, the
“utilisable” part of this total water, as against “available”, which is what
all the above estimates are. This is important because the methodology of
estimating the “utilisable” portion of surface flows by CWC is essentially
based on how many dams, diversions and storage structures can be built in a
river basin. The details of the methodology and the way it has been applied to each
basin are not available. It would be important to see the limitations and
assumptions of this methodology as well as the use of a more modern and
advanced methodology for assessing the utilisable component, just as a more
advanced method has been used for assessing the total resource.
Superior
Method
So what is
the method used by the current study? It essentially uses a hydrologically
model and water balance, with as disaggregated data (spatial and temporal) as
possible. As the study says, it “emphasises on quantifying basin scale water
wealth by transformation [of the methodology] from presently adapted basin
terminal gauge site discharge aggregation [method] to meteorological data based
water budgeting exercise through hydrological modelling approach.” (Page xi)
It uses
daily rainfall data of 0.25o X 0.25o grids, daily temperature data of 1o X1 o grids,
and Land Use Land Cover (LULC) map for the period from 2004-05 to 2014-15
prepared under Natural Resources Census (NRC) project of NRSC using IRS AWiFS
satellite data (56 m resolution). Soil textural map, LULC map, daily rainfall
map, daily temperature map, water body map and command area maps were
integrated in modified Thornthwaite-Mather modelling framework to compute the
monthly soil moisture, evapotranspiration, surface runoff. A software tool
namely Water Resources Assessment Tool (WRAT) was developed by NRSC for
computation of water balance components in modified Thornthwaite-Mather
modelling framework using geo-spatial datasets. Abstractions for all uses
(irrigation, domestic, industrial, others) were estimated. (Page xii). More
details of the methodology can be seen in the report.
This
methodology is certainly an advance on the methodologies used in the earlier
assessments. Yet, it needs to be emphasised that the method is only as good as
the data used – whether it is of the rainfall, soil characteristics, or
abstractions, diversions and uses. And this probably remains its biggest
limitation.
Addressing
Concern Raised in Mihir Shah Committee Report
The
Committee set up by the Ministry of Water Resources for “Restructuring the CWC
and CGWB”, headed by Dr. Mihir Shah, gave its report in July 2016. It flagged
an important issue related to the estimation of India’s water resources. It
raised the issue that (Page 23 of Mihir Shah Committee Report)
“…recent calculations based on higher estimates of the amount
of water lost to the atmosphere by evapo-transpiration are less comforting.
Narasimhan (2008) has recalculated India’s water budget, using an evapotranspiration
rate of 65 per cent, which compares with worldwide figures ranging from 60 per
cent to 90 per cent instead of the 40 per cent rate assumed in the official
estimates. The result also summarised in Figure 1.1 is sobering. After allowing
the same 48.8 per cent for ecological flows, his estimate of water utilizable
for human use comes to only 654 BCM, which is very close to the current actual
water use estimate of 634 BCM.”
In effect, what
is suggested by the results of Narasimhan (as outlined in the Mihir Shah
report) is that India’s official water resource estimation assumes an effective
total evapotranspiration of 1539 BCM leaving 2301 BCM as available water;
whereas if evapotranspiration figures of Narasimhan are taken, then total evapotranspiration
is really 2500 BCM, leaving only 1340 BCM as available.
First of
all, there seems to some error in this due to double counting of groundwater.
Groundwater resources are included in the total water resources. If this error
is corrected, evapotranspiration figures of official estimates come to be 1971
BCM. Though this narrows the gap, the issue raised by Narasimhan remains.
In this
context, though the current CWC report does not mention it, the methodology, by
including specifically the evapotranspiration in terms of actual data (or
better estimates using meteorological and other data) and using water balance
studies, would address the concerns raised by Narasimhan. This is because the
central concern raised has been the underestimation of evapotranspiration by
the (earlier) official studies. If details of the figures from the modelling
exercise done by CWC for this study are available, this could be further
cross-checked.
Some
Other Issues of Concern
There are
some other important issues of concern with the CWC assessment and report.
First of
all, the Report does give the limitations and assumptions of the study, and
looking at these, it is clear that there these could significantly influence
the accuracy of the estimates. The Confidence Interval reported in the study at 90% indicates that the model may not be calibrating well with the observed parameters, possibly due to the many limitations and assumptions. Ideally, a confidence interval of at least 95% would have been expected.
Some other
figures also raise doubts about the CWC estimates. For example, in the basin
wise estimations, the water resources of the Narmada river at 75% dependability
are given as 45.24 BCM (Page 71). This is 36.66 Million Acre Feet (MAF),
significantly higher than the 28 MAF which the Narmada Water Disputes Tribunal
determined as the total water in the river. This raises some questions on the
dependability of the estimates. (While the Narmada Tribunal calls its estimates
at the “utilisable” water at 75% dependability, from the way it has been estimated, we can see that it what the CWC
report calls “available” water.)
Last but not
the least, the CWC Report does give the water resource estimates basin-wise,
but it would have been very important if the estimates were also given
season-wise (monsoon, lean season etc).
We hope that
some of these issues can be addressed in the subsequent reports as this should
clearly be an ongoing work.
-----------------------------
Note: This post has been slightly modified mainly to include a comment on the Confidence Interval. Further, this note may be treated as a Preliminary Comment, as the author is working on some further aspects based on several comments received. Comments of Manoj Misra, KJ Joy and Jeevananda Reddy are acknowledged, as is a tutorial on statistics and modelling methods by Ann Josey and Mokshda Kaul.
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