D422Lot1.SMHI.5.1.1B: Detailed workflows of each case-study on … · 2019-02-18 · The results of...
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C3S_422_Lot1_SMHI – D5.1.1B |
Copernicus Climate Change Service
D422Lot1.SMHI.5.1.1B:
Detailed workflows of each case-study
on how to use the CDS for CII
production and climate adaptation
Full Technical Report:
Impact assessment of climate change
on water resources and agriculture to
guide optimal reservoir operation and
best crop management practices
Archana Sarkar1, Surjeet Singh1, Ilias Pechlivanidis2, Survey Daman Sharma1
1National Institute of Hydrology (NIH)
2Swedish Meteorological and Hydrological Institute (SMHI)
REF.: C3S_422_Lot1_SMHI D5.1.1B
C3S_422_Lot1_SMHI – D5.1.1B |
Copernicus Climate Change Service
Summary
Banas river basin is the largest basin in the state of Rajasthan with over 45,000
km2 area. The basin falls in an arid region of the country with very low water
availability and recurrent droughts. Banas is a seasonal river that dries up during
summer. It feeds the Bisalpur reservoir where a dam was constructed during the
year 1999 which is used for drinking water supplies to major cities and irrigation
to the command area downstream. The reservoir faced shortage of water
availability in the recent years impacting the water supplies as well as agriculture
production. This case study explores the effects of climate change on the water
availability in this reservoir and management of cropping schedule for better crop
yield in the command area.
The data provided within the C3S_422_Lot1_SMHI contract, available on the
Climate Data Store (CDS), have been used to produce climate impact indicators
(CIIs). For the analysis, 2 degrees bias corrected monthly precipitation and
maximum temperature data of 18 GCMs for RCP 4.5 and RCP8.5 for the historical
as well as future time periods up to 2100 to understand the variability in climate
in future time horizons, were used. The CIIs developed for the Banas basin are
monthly precipitation which provides useful information for the rain-fed crops;
monsoon precipitation which gives an indication of water availability in the
Bisalpur reservoir as it gets its major inflow during the monsoon period; and
mean monthly maximum temperature which provides useful information for the
sowing time of crops for a better yield, especially for mustard & wheat crops.
The mean ensemble results show a likely increase in the monthly as well as
monsoon precipitation for future time horizon up to 2100 which is good for this
semi-arid region. However, the mean ensemble of maximum monthly
temperature also shows a likely increase in the coming years indicating more
evaporation from reservoir and more evapotranspiration from agriculture fields,
thereby enhancing the crop water demands.The State water resources and
agriculture department can use this information for planning adaptation
measures like additional water storage structures for any spillovers during high
precipitation years, artificial groundwater recharge schemes, reducing
evaporation from the reservoir, short duration variety crops, less water intensive
crops and water efficient irrigation technologies like micro-sprinkler and drip
irrigation.
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Contents 1- Case study description ........................................................................................................ 4
1.1 Issue to be addressed ......................................................................................................... 4
1.2 Decision support to client .................................................................................................. 5
1.3 Temporal and spatial scale ............................................................................................... 5
1.4 Knowledge brokering ........................................................................................................... 5
2- Potential adaptation measures ........................................................................................ 5
2.1 Lessons learnt ........................................................................................................................ 5
2.2 Importance and relevance of adaptation .................................................................... 6
2.3 Pros and cons or cost-benefit analysis of climate adaptation ............................. 7
2.4 Policy aspects ......................................................................................................................... 7
3- Contact ...................................................................................................................................... 8
3.1 Purveyors ................................................................................................................................. 8
3.2 Clients/users ........................................................................................................................... 8
4- Data production and results ............................................................................................. 8
4.1 Step 1: Ensembling Climate Variables ......................................................................... 9
4.2 Step 2: Mapping .................................................................................................................. 10
4.3 Step 3: Adaptation Measures ......................................................................................... 21
5- Conclusion of full technical report ................................................................................ 21
References ......................................................................................................................................... 23
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1- Case study description
Rajasthan is the largest state of India with 10.4% of the country’s area and
5.5% of its population, but only about 1% of the country’s water resources
producing 5.49% of the nation’s total food grains and 21.31% of its oil seeds.
The Bisalpur dam project plays an important role in the economy of the western
Rajasthan region of the Banas river basin providing water for drinking to various
cities and irrigation in the Tonk district. However, the present water resources of
this region are not enough to cater to the needs of the increasing population,
including agriculture and non- agriculture demands and climate change will act
as an additional stressor. Thus, it is vital to assess the effects of climate change
in order to have optimal reservoir operation and adapt to best crop management
practices.
1.1 Issue to be addressed
The Banas River Basin is the largest river basin (45833 km2) within the
Rajasthan State of India. Banas is a seasonal river that dries up during the
summer, but it is nonetheless used for irrigation. Bisalpur drinking water cum
irrigation project is constructed across river Banas with an ultimate irrigation
potential of 55224 hectare (irrigation during the months of October to March for
the Rabi crop), besides providing 458.36 million m3 of drinking water for Jaipur,
Ajmer, Beawar, Kishangarh, Nasirabad and other enroute cities, towns and
villages. An estimated 150 million USD of extra agriculture was produced in
2014-2015. An increase in temperature in this region has been observed from
historical data. This may lead to shortening of the crop growth period, increase in
crop water requirement and reduction in crop yield. The water availability in this
reservoir in coming years will play a crucial role in the overall economy of the
entire region including other socio-economic issues. Following Figure 1 shows
map of the Bisalpur project and photographs from the field showing water
pipelines for transport of drinking water and canals from the reservoir for
irrigation in the command area.
Fig. 1: Map and photographs of Bisalpur Reservoir (upstream and downstream both)
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1.2 Decision support to client
The government of Rajasthan recognised the water resources and agriculture
vulnerability being in the state with one of the lowest adaptive capacity which
makes immediate action on climate change crucial. The Rajasthan State Action
Plan on Climate Change (under Prime Minister Council on Climate Change)
proposes many strategies for state mission on water resources and agriculture
among other sectors. The methods and results generated in the present study
will help the clients namely, Water Resources Department and Agriculture
Department of Rajasthan State in their actions like: (i) Setting up dedicated
facilities with advanced computing systems and customize information on
impacts of climate change for regional water basins/sub basins/watersheds; (ii)
Conducting training programs for government officials to facilitate the
understanding of the impacts of climate change on water resources and
familiarize them with modelling outputs and its significance for decision making;
(iii) Educating farmers about matching land-use systems with water availability
by adopting water efficient practices and low water requiring crops for
agriculture, etc. Moreover, all the information produced within this study will be
open source which will prove to be useful for other socio-economic sectors in
terms of climate change awareness.
1.3 Temporal and spatial scale
The results of this case study will help decision making at a local/regional scale
(approximately 40000 km2 including Banas catchment upto Bisalpur dam and
the downstream irrigation command area). The adaptation measures will be
implemented over 20 years period.
1.4 Knowledge brokering
Field visits have been made to interact with clients and other stakeholders
including farmers. We have presented the objectives of the project to clients and
taken their feedback on the type of CIIs that will help them in their decision
making of reservoir operation and crop management practices.
2- Potential adaptation measures
2.1 Lessons learnt
Rajasthan State’s economy is predominantly agricultural and rural with
fluctuations in the growth rate of the NSDP (Net State Domestic Product)
because of the uncertainties in agriculture as it is almost entirely dependent on
rainfall. The frequency of occurrence of droughts in the Banas basin is once in 4
to 5 years. With a rising demand for water for both agriculture and non-
agriculture purposes the share of water for agriculture is set to reduce to 70% by
2050. Climate change challenges the path of sustainability in the agriculture
sector. Through its direct and indirect impacts - on crop yields, pests and
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diseases, land and water resources - climate change is expected to affect
agriculture through multiple pathways, thereby having an effect on livelihoods
and the overall food security situation in the region.
During our interactions with WRD, Rajasthan, we learnt that irrigation from the
Bisalpur Dam started in 2004 which continued up to 2010. Then due to less
rainfall and less inflow, no irrigation was provided for next four years (2011-
2014). Irrigation resumed during 2015-2016. Then in 2017 irrigation supply was
curtailed to half, only from November to December against normal supply from
November to February due to less inflow (less than normal rainfall in monsoon)
in the Bisalpur reservoir. In the year 2018, again the inflow to the reservoir was
less than normal and no irrigation was provided to the command area in the post
monsoon cropping season of 2018. We also learnt from the Agriculture
department and local farmers that in recent years the yield of mustard crop in
the command area which constitutes about 75% has reduced because of rise in
temperatures. We learnt that the information generated through stakeholder
consultation is very important for development of appropriate CIIs.
2.2 Importance and relevance of adaptation
Climate change is likely to further exacerbate the already strained conditions for
water resources and agriculture in the Banas basin. The present water resources
management practices do not consider the effects of climate change as the
climate impact modelling has not been carried out for this region so far. At
present, the surplus water at the end/during monsoon season every year is
released from the reservoir without any knowledge of future climate and if there
is less inflow in the succeeding year, irrigation supplies is curtailed. The results of
present study about water availability in the Bisalpur dam for future time periods
will help the WRD in the planning of increasing the reservoir capacity if there is
surplus water or bringing water to the reservoir through river interlinking if there
is water deficit as this reservoir is lifeline of some major cities for drinking water
and irrigation in the Tonk district.
Agriculture is a sector that requires constant adaptation in order to maintain
yields. In the drought-prone Tonk district, where communities have learnt to
cope, successive droughts over wider geographic areas, combined with other
stresses are now threatening to overwhelm coping capacity in ways that might
become the norm with climate change. The temperature trends in this area are
on the rise threatening the yields of the major crop, the mustard crop. The
information on future temperature scenarios on monthly and seasonal scales will
be very helpful for the agriculture department for best crop management
practices like, changing the cropping schedule; production of short duration
mustard variety; growing new crops such as vegetables, fodder and higher value
medicinal crops for commercial sale; and growing crops with low water.
Long-term adaptation strategies could be developed on the basis of CIIs
produced using CDS global climate data, and hydrological models, e,g, future
scenarios of water availability will be helpful in improving reservoir operation,
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future scenarios of temperature and precipitation will help in best crop
management practices.
2.3 Pros and cons or cost-benefit analysis of climate adaptation
Manifestations of a changing climate are being observed as the duration of
seasons change. It is observed that summers are expanding and the winters are
shrinking. Temperatures in early March have been on the rise which makes the
cultivation of wheat more challenging. The farmers are facing loss of crop yield
due to rising temperatures and the curtailed irrigation supplies. Decreasing
productivity of crops and livestock animals is also being observed. Decline in
pasture lands and lesser milk cows and buffaloes are being experienced. As a
result of all these changes, the real income is also declined. The increasing
population in the cities are demanding more water from this reservoir for
drinking purpose. The climate adaptation in terms of better management
practices will bring direct benefits like more water for supply to cities and
increased/sustained crop yield as well as indirect benefits in other related socio-
economic sectors.
2.4 Policy aspects
Under the India’s National Action Plan on Climate change (NAPCC), one of the
eight missions, namely National Water Mission, Indian Ministry of Environment
and Forests (MoEF), has developed a common framework that can facilitate the
States to prepare their State Action Plans in line with the broad objectives of the
NAPCC. It has been clearly laid out in the Rajasthan State Action Plan on Climate
change (RAPCC) that the State is highly vulnerable to climate change due to
already existing water scarcity conditions. However, the water rates in the state
do not convey a sense of scarcity among the stakeholders, thereby leading to
increase in water losses and water use inefficiency (http://envfor.nic.in/ccd-
sapcc). Sectoral policies like subsidies for irrigation (power, pumps) and other
inputs in agriculture sector indirectly have adverse impact on water resources.
The environmental cost arising out of wasteful water use practices are not
internalised. The farmers at the head end region of irrigation projects tend to
over irrigate and also shift their cropping patterns towards water intensive crops,
exerting pressure on limited water resources of the state
(http://rajwater.gov.in/sprdws.pdf).
3- Contact
3.1 Purveyors
Archana Sarkar, Surjeet Singh
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National Institute of Hydrology (NIH), Roorkee, India
3.2 Clients/users
Water Resources Department, Government of Rajasthan, Rajasthan.
4- Data production and results The observed rainfall and temperature data have been collected from the India
Meteorological Department (IMD), Pune and are used in the historical trend
analysis for the study area. Information on crop failures was gathered through
interaction with the local farmers of the study area. The CDS data were used to
develop the CIIs. The water availability is more often falling short in the Bisalpur
reservoir affecting the drinking water supply to major cities and rising
temperatures are resulting in crop failures during the sowing stage of Mustard
crops and milking stage of Wheat crops. These concerns were reported by the
field engineers and farmers of the area which was the main motivation to take up
this study. The aim was to generate scenarios of anticipated climate change
through development of CIIs so that the stakeholders may opt for suitable
adaptation from among the suggested measures to cope with the climate
change. The workflow is presented in Figure 2 below:
Fig. 2: Work Flow
4.1 Step 1: Ensembling Climate Variables
The following data were downloaded: CII (Global), 2.0° x 2.0° resolution bias
adjusted monthly data of 19 model ensemble (max, mean & min) for the current
situation (historical simulation 1971-2010) and for the RCP 4.5 & RCP8.5
experiment for all the three future time periods (2010-2040, 2041-2070, 2071-
2100).
The CIIs developed for the study area, i.e., Banas basin are monthly
precipitation, monsoon precipitation, and maximum monthly temperature. The
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ensemble of essential climate variables used to calculate the CIIs for both RCPs
4.5 and 8.5 are available in the CDS catalogue.
4.2 Step 2: Mapping
The spatial - temporal variability of the CIIs are mapped in the form of anomalies
(mean, min & max of ensembles) in the future time periods (near century: 2011-
2040, mid-century: 2041-2070, end-century: 2071-2100) with respect to the
reference period (historical: 1971-2000) for both emission scenarios (Moderate:
RCP4.5, High: RCP8.5) and used to understand the variability in climate in future
time horizons. The CIIs developed for the Banas basin are monthly precipitation
for the monsoon month which provides useful information for rain-fed crops;
monsoon (months of June, July, August & September) precipitation which gives
an indication of water availability in the Bisalpur reservoir as it gets its major
inflow during the monsoon period; and mean monthly maximum temperature
which provides useful information for the sowing time of crops (especially
mustard & wheat crops) in order to have a better yield of the crop. The results
presented in the following section mainly contain maps showing anomalies in the
mean ensembles.
Results:
Monthly Precipitation
Figures 3 & 4, present the variability of monthly precipitation using mean
ensemble in Bisalpur reservoir catchment and command area in future time
periods under moderate emission scenario (RCP4.5) and high emission scenario
(RCP8.5) respectively. The observations are given in the following sections.
Variability of Monthly (JJAS) Precipitation under Moderate Emission
Scenario (RCP4.5)
For the mean of ensembles, the maps show very different variability of
precipitation for all the four months. The following sections present the
observations of each month.
Variability of June Month Precipitation under Moderate Emission Scenario (RCP
4.5)
In the month of June, the precipitation in the North West (Ajmer and part of
Tonk districts) of the basin is likely to increase over time due to climate change.
Comparing period 2011-2040 with 1971-2000, the area will receive about 30%
more precipitation. Comparing 2041-2070 vs 1971-2000, the same area is likely
to get only 9% more rainfall. Comparing 2071-2100 vs 1971-2000, the increase
in precipitation may be 25%. For the South West (Rajsamand, Udaipur, part of
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Chittaurgarh and part of Bhilwara districts) part of the basin figures are slightly
different. Precipitation in the period 2011-2040 is likely to be 40% higher than in
the period 1971-2000. Comparing the period 2041-2070 vs 1971-2000 the
increase in precipitation is likely to be very less, namely 3% along with likely
decrease in majority of this part by 3%. Comparing 2071-2100 vs 1971-2000,
there is again increase in participation up to about 23%.
Variability of July Month Precipitation under Moderate Emission Scenario (RCP
4.5)
In the month of July, the precipitation in the North West (Ajmer and part of Tonk
districts) of the basin is likely to decrease in near century and then increase in
mid and end centuries due to climate change. Comparing period 2011-2040 with
1971-2000, the area will receive about 10% less precipitation. Comparing 2041-
2070 vs 1971-2000, the same area is likely to get about 13% more precipitation.
Comparing 2071-2100 vs 1971-2000, the increase in precipitation may be only
7%. For the South West (Rajsamand, Udaipur, part of Chittaurgarh and part of
Bhilwara districts) part of the basin the anomalies are slightly different.
Precipitation in the period 2011-2040 is likely to be 4% lower than in the period
1971-2000. Comparing the period 2041-2070 vs 1971-2000 there is likely
increase in precipitation by about 10%. Comparing 2071-2100 vs 1971-2000,
the increase in participation lowers to about 6%.
Variability of August Month Precipitation under Moderate Emission Scenario (RCP
4.5)
In the month of August, the precipitation in the North West (Ajmer and part of
Tonk districts) of the basin is likely to increase over time due to climate change.
Comparing period 2011-2040 with 1971-2000, the area will receive about 5%
more precipitation. Comparing 2041-2070 vs 1971-2000, the same area is likely
to get about 16% more precipitation. Comparing 2071-2100 vs 1971-2000, the
increase in precipitation may be 30%. For the South West (Rajsamand, Udaipur,
part of Chittaurgarh and part of Bhilwara districts) part of the basin the figures
are slightly different. Precipitation in the period 2011-2040 is likely to be 10%
higher than in the period 1971-2000. Comparing the period 2041-2070 vs 1971-
2000 the increase in precipitation is likely to be more, namely 25%. Comparing
2071-2100 vs 1971-2000, the increase in participation continues up to about
45%.
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Fig.3: Variability of Monthly Precipitation (mean ensemble) in Bisalpur Reservoir Catchment &
Command Area in Future Time Periods under Moderate Emission Scenario (RCP4.5)
Variability of September Month Precipitation under Moderate Emission Scenario
(RCP 4.5)
In the month of September also, the precipitation in the North West (Ajmer and
part of Tonk districts) of the basin is likely to increase over time due to climate
change. Comparing period 2011-2040 with 1971-2000, the area will receive
about 48% more precipitation. Comparing 2041-2070 vs 1971-2000, the same
area is likely to get about 58% more precipitation. Comparing 2071-2100 vs
1971-2000, the increase in precipitation may be 75%. For the South West
(Rajsamand, Udaipur, part of Chittaurgarh and part of Bhilwara districts) part of
the basin the figures are slightly different. Precipitation in the period 2011-2040
is likely to be 40% higher than in the period 1971-2000. Comparing the period
2041-2070 vs 1971-2000 the increase in precipitation is likely to be less, namely
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35%. Comparing 2071-2100 vs 1971-2000, the increase in participation goes up
to about 85%.
Variability of Monthly (JJAS) Precipitation under High Emission Scenario
(RCP8.5)
For the mean of ensembles, the maps show quite different variability of
precipitation for all the four months of monsoon. The following sections present
the observations of each month.
Variability of June Month Precipitation under Moderate Emission Scenario (RCP
8.5)
In the month of June, the precipitation in the North West (Ajmer and part of
Tonk districts) of the basin is likely to decrease in near century and then increase
in mid and end centuries due to climate change. Comparing period 2011-2040
with 1971-2000, the precipitation in this area is likely to decrease by about 5%.
Comparing 2041-2070 vs 1971-2000, the same area is likely to get about 35%
more rainfall. Comparing 2071-2100 vs 1971-2000, the increase in precipitation
may be 50%. For the South West (Rajsamand, Udaipur, part of Chittaurgarh and
part of Bhilwara districts) part of the basin figures are different. Precipitation in
the period 2011-2040 is likely to be 3% higher than in the period 1971-2000.
Comparing the period 2041-2070 vs 1971-2000 the increase in precipitation is
likely to be 30%. Comparing 2071-2100 vs 1971-2000, there is again increase in
participation up to about 65%.
Variability of July Month Precipitation under Moderate Emission Scenario (RCP
8.5)
In the month of July also, the precipitation in the North West (Ajmer and part of
Tonk districts) of the basin is likely to decrease in near century and then increase
in mid and end centuries due to climate change. Comparing period 2011-2040
with 1971-2000, the precipitation in this area is likely to decrease by about 60%.
Comparing 2041-2070 vs 1971-2000, the same area is likely to get about 20%
more precipitation. Comparing 2071-2100 vs 1971-2000, the increase in
precipitation may be 44%. For the South West (Rajsamand, Udaipur, part of
Chittaurgarh and part of Bhilwara districts) part of the basin the anomalies are
almost similar. Precipitation in the period 2011-2040 is likely to decrease by
about 50% compared to the period 1971-2000. Comparing the period 2041-2070
vs 1971-2000 there is likely increase in precipitation by about 13%. Comparing
2071-2100 vs 1971-2000, the increase in participation is about 35%.
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Fig.4: Variability of Monthly Precipitation (mean ensemble) in Bisalpur Reservoir Catchment &
Command Area in Future Time Periods under High Emission Scenario (RCP 8.5)
Variability of August Month Precipitation under Moderate Emission Scenario (RCP
8.5)
In the month of August, the precipitation in the North West (Ajmer and part of
Tonk districts) of the basin is likely to increase over time due to climate change.
Comparing period 2011-2040 with 1971-2000, the area will receive about 20%
more precipitation. Comparing 2041-2070 vs 1971-2000, the same area is likely
to get about 40% more precipitation. Comparing 2071-2100 vs 1971-2000, the
increase in precipitation may be 80%. For the South West (Rajsamand, Udaipur,
part of Chittaurgarh and part of Bhilwara districts) part of the basin the figures
are similar but slightly on the lower side. Precipitation in the period 2011-2040 is
likely to be 15% higher than in the period 1971-2000. Comparing the period
2041-2070 vs 1971-2000 the increase in precipitation is likely to be more,
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namely 35%. Comparing 2071-2100 vs 1971-2000, the increase in participation
continues up to about 70%.
Variability of September Month Precipitation under Moderate Emission Scenario
(RCP 8.5)
In the month of September also, the precipitation in the North West (Ajmer and
part of Tonk districts) of the basin is likely to increase over time due to climate
change. Comparing period 2011-2040 with 1971-2000, the area will receive
about 60% more precipitation. Comparing 2041-2070 vs 1971-2000, the same
area is likely to get about 100% more precipitation. Comparing 2071-2100 vs
1971-2000, the increase in precipitation may be 160%. For the South West
(Rajsamand, Udaipur, part of Chittaurgarh and part of Bhilwara districts) part of
the basin the figures are almost similar but on a lower side. Precipitation in the
period 2011-2040 is likely to be 50% higher than in the period 1971-2000.
Comparing the period 2041-2070 vs 1971-2000 the increase in precipitation is
likely 110%. Comparing 2071-2100 vs 1971-2000, the increase in participation
goes up to about 145%.
Monsoon Precipitation
Figures 5 & 6 present the variability of monsoon rainfall in Bisalpur reservoir
catchment and command area in future time periods under moderate emission
scenario (RCP4.5) and high emission scenario (RCP8.5) respectively. The
observations are as follow:
Variability of Monsoon Precipitation under Moderate Emission Scenario
(RCP4.5)
For the mean of ensembles, the maps show that precipitation in the North West
(Ajmer and part of Tonk districts) of the reservoir is likely to increase over time
due to climate change. Comparing period 2011-2040 with 1971-2000, the area
will receive about 21% more precipitation. Comparing 2041-2070 vs 1971-2000,
the same area is likely to get 23% more rainfall. Comparing 2041-2070 vs 1971-
2000, the increase in precipitation may be 32%.
For the South West (Rajsamand, Udaipur, part of Chittaurgarh and part of
Bhilwara districts) part of the reservoir figures are slightly different. Precipitation
in the period 2011-2040 is likely to be 23 % higher than in the period 1971-
2000. Comparing the period 2014-2070 vs 1971-2000 the increase in
precipitation is likely to be a bit less, namely 21%. Comparing 2071-2100 vs
1971-2000, the increase in participation continues up to about 37%.
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Fig.5: Variability of Monsoon Rainfall in Bisalpur Reservoir Catchment & Command Area in Future Time Periods under
Moderate Emission Scenario (RCP 4.5)
Variability of Monsoon Precipitation under High Emission Scenario: RCP
8.5
For the mean of ensembles, the maps show that the likely increase in
precipitation is larger than for RCP 4.5. Comparing period 2011-2040 with 1971-
2000, the area could receive 49% more precipitation. Comparing 2041-2070 vs
1971-2000 similar projections may be expected. Comparing 2041-2070 vs 1971-
2000, the increase in precipitation is likely to be about 69%.
For South West of the reservoir the projections are almost similar to those of the
North West. Precipitation in the period 2011-2040 is likely to be 49 % higher
than in the period 1971-2000. Comparing the period 2014-2070 vs 1971-2000,
the increase in precipitation will be again 49 %. Comparing 2071-2100 vs 1971-
2000, the increase in participation continues up to 73.7 %.
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Fig.6: Variability of Monsoon Rainfall in Bisalpur Reservoir Catchment & Command Area in Future
Time Periods under High Emission Scenario (RCP 8.5)
Monthly Maximum Temperature
Figures 7 & 8 present the variability of monthly maximum temperature (mean of
ensembles) in Bisalpur reservoir catchment & command area in future time
periods under moderate emission scenario (RCP4.5) and high emission scenario
(RCP8.5) respectively. Unlike the dissimilar variability of precipitation in the
northern and southern part of the study basin, the variability of maximum
monthly temperature is uniform in the entire basin for various scenarios. The
observations are as follow:
Variability of Monthly Maximum Temperature under Moderate Emission Scenario
(RCP4.5)
For the mean of ensembles, the maps show that the likely increase in monthly
maximum temperature continuous for the future time period for all the four
months under consideration, i.e., November, December, January and February.
These four months are the main months of cropping in the command area of the
Bisalpur reservoir.
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In the month of November, where the historical mean monthly maximum
temperature is about 30oC, the area could see an increase in temperature by
about 0.4oC during the period of 2011-2040 compared with 1971-2000; an
increase in temperature by about 1.6oC during the period of 2041-2070
compared with 1971-2000; and an increase in temperature by about 2.4oC
during the period of 2071-2100 compared with 1971-2000.
In the month of December, where the historical mean monthly maximum
temperature is about 25oC, the area could see an increase in temperature by
about 0.38oC during the period of 2011-2040 compared with 1971-2000; an
increase in temperature by about 1.6oC during the period of 2041-2070
compared with 1971-2000; and an increase in temperature by about 2.35oC
during the period of 2071-2100 compared with 1971-2000.
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Fig.7: Variability of Monthly Maximum Temperature (mean ensemble) in Bisalpur Reservoir
Catchment & Command Area in Future Time Periods under Moderate Emission Scenario (RCP4.5)
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In the month of January, where the historical mean monthly maximum
temperature is about 25oC, the area could see an increase in temperature by
about 0.8oC during the period of 2011-2040 compared with 1971-2000; an
increase in temperature by about 1.75oC during the period of 2041-2070
compared with 1971-2000; and an increase in temperature by about 2.7oC
during the period of 2071-2100 compared with 1971-2000.
In the month of February, where the historical mean monthly maximum
temperature is about 29oC, the area could see an increase in temperature by
about 1.1oC during the period of 2011-2040 compared with 1971-2000; an
increase in temperature by about 2.1oC during the period of 2041-2070
compared with 1971-2000; and an increase in temperature by about 2.72oC
during the period of 2071-2100 compared with 1971-2000.
Variability of Monthly Maximum Temperature under High Emission Scenario (RCP
8.5)
For the mean of ensembles, the variability of monthly maximum temperature
under high emission scenario (RCP 8.5) is very similar to RCP 4.5 moderate
emission scenarios with enhanced rates of warming.
In the month of November, where the historical mean monthly maximum
temperature is about 30oC, the area could see an increase in temperature by
about 0.65oC during the period of 2011-2040 compared with 1971-2000; an
increase in temperature by about 2.6oC during the period of 2041-2070
compared with 1971-2000; and an increase in temperature by about 4.46oC
during the period of 2071-2100 compared with 1971-2000.
In the month of December, where the historical mean monthly maximum
temperature is about 25oC, the area could see an increase in temperature by
about 0.63oC during the period of 2011-2040 compared with 1971-2000; an
increase in temperature by about 2.45oC during the period of 2041-2070
compared with 1971-2000; and an increase in temperature by about 4.40oC
during the period of 2071-2100 compared with 1971-2000.
In the month of January, where the historical mean monthly maximum
temperature is about 25oC, the area could see an increase in temperature by
about 0.67oC during the period of 2011-2040 compared with 1971-2000; an
increase in temperature by about 2.7oC during the period of 2041-2070
compared with 1971-2000; and an increase in temperature by about 4.55oC
during the period of 2071-2100 compared with 1971-2000.
In the month of February, where the historical mean monthly maximum
temperature is about 29oC, the area could see an increase in temperature by
about 0.7oC during the period of 2011-2040 compared with 1971-2000; an
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increase in temperature by about 3.0oC during the period of 2041-2070
compared with 1971-2000; and an increase in temperature by about 4.7oC
during the period of 2071-2100 compared with 1971-2000.
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Fig.7: Variability of Monthly Maximum Temperature (mean ensemble) in Bisalpur Reservoir
Catchment & Command Area in Future Time Periods under High Emission Scenario (RCP8.5)
4.3 Step 3: Adaptation Measures
Adaptation measures for the agriculture and water sector are envisaged based on
the changes in the CIIs and reported back to the stakeholders.
Recent lessons
The recent monsoon years (2017 and 2018) witnessed less inflow in the Bisalpur
reservoir due to which the irrigation supply (from October/November to March)
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to command area was curtailed to 50% during 2017 and no irrigation supply in
2018 which badly affected the crop production and livelihood of the farmers
dependent on the irrigated crops (information supplied from WRD, Rajasthan).
Although the Climate impact indicator in terms of monsoon rainfall shows an
increase in all the coming centuries up to year 2100, the mean monthly
maximum temperature also shows an increase in all the coming centuries up to
year 2100.
Adaptation measures
In view of climate change and rise in temperature, there will be more
evaporation from reservoir and will affect the water availability. Also rise in
temperature will result in more evapotranspiration from agriculture fields which
will enhance the crop water demand. Therefore the following 7 adaptation
measures are suggested to cope with the climate change.
1. Less water intensive crops shall be promoted in order to meet the water
demands.
2. Short duration variety crops can also be promoted.
3. In order to create more storage for catering the higher rainfall and
subsequent higher inflows, increase in dam height will also serve the purpose.
4. Additional water storage structures can be created in the downstream to
store the surplus spillover water during high rainfall years.
5. Water-efficient irrigation technologies like micro-sprinkler and drip
irrigation shall be practised to conserve the loss of water from seepage and
evaporation.
6. Artificial groundwater recharge schemes shall be promoted to conserve the
additional monsoon runoff underground.
7. There is need of awareness raising campaigns on the impacts of climate
change and use of efficient water utilization among farmers and local
communities.
5- Conclusion of full technical report
The study presents the important issues of water availability in Bisalpur reservoir
and changes in temperature in the Banas basin in view of climate change. It
comprises the development of rainfall and temperature CIIs relevant to the study
area and presents mapping of these variables in the study area for future time
periods of the current century up to 2100. The results indicate the variation of
rainfall and temperature during the three time slices. Various adaptation
measures are also proposed to cope with the impact of climate change.
Accordingly, the adaptation measures can be taken by the project authorities in
various parts of the study area. The presented scenarios of CIIs along with the
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proposed adaptation measures will help in enhancing the water availability of
Bisalpur reservoir as well as management and minimizing the crop losses.
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References
Rajasthan State Action Plan on Climate Change 2014). Report of Government of
Rajasthan, India. Downloaded from http://envfor.nic.in/ccd-sapcc on 09/09/2017