Climate Change: Mainstreaming Development Planning in Telangana
- B. KALYAN CHAKRAVARTHY, IAS
Director General, EPTRI Telangana, Hyderabad India
Mainstreaming Development Planning in Telangana B. KALYAN - - PowerPoint PPT Presentation
Climate Change: Mainstreaming Development Planning in Telangana B. KALYAN CHAKRAVARTHY, IAS Director General, EPTRI Telangana, Hyderabad India Why Mainstream Climate Change? Climate change is a potentially significant threat to
Director General, EPTRI Telangana, Hyderabad India
to climate posed challenges/ issues
coordination across multiple sectors
distort development priorities
bring significant developmental benefits
climate change into all development planning, both at strategic planning levels and in local development is imperative
2 http://blogs.worldbank.org/climatechange/category/tags/co-benefits
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Local Adaptation Plan of Action National Action Plan on Climate Change State Action Plan on Climate Change
Sub-National & Local Level Mainstreaming
Potential for piloting / pioneering initiatives Most adaptation
local implementation Vulnerability and adaptive capacity are context specific
Best levels for
understanding development and climate change impacts
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2010 2014 2016
Initiation of State Action Plan on Climate Change (SAPCC) SAPCC for joint state
Andhra Pradesh developed State of Telangana is formed And the paddle
green growth initiated – Mission Kakatiya State Solar Policy put in place for accelerating solar installations A Nodal agency on climate change announced; Telangana’s SAPCC finalized; Framework for Climate Change Adaptation of Industries; MoU signed with Under2 Coalition Heat wave action plan formulated Revised Heat wave action plan Climate friendly water policy for the state; Initiated the State Action Plan for Water (SSAP-W); State Solid Waste Management Policy and Strategy devised
2020
Culmination
large mitigation & adaptation projects Way Forward
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Temperature
43°C in May
17°C in December and January.
905.3 mm and about [(80% of annual rainfall is received from the south-west monsoons (during (June to September)]
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Indicator Weight (%) Annual Maximum Temperature 2 Annual Minimum Temperature 4 Heat wave occurrences (days) 3 Cold wave occurrences (days) 3 Severe Heat wave occurrences (days) 5 Severe Cold wave occurrences (days) 2 CV in June rainfall(%) 5 CV in July rainfall(%) 12 Annual Precipitation 1 Monsoon rainfall 6 CV Monsoon rainfall(%) 12 Very heavy rainfall (days) 5 Dry days 5 More than 14 days of dry in monsoon 10 Wet days 5 More than 14 days of dry in monsoon 5 Number of annual rainy days 5 95th percentile rainfall 5 Hot day frequency 5
Construction of climate exposure index
Number of Grids : 350 Base line period : 1980-2009 Mid- century period : 2040-2069 RCP : 8.5 Number of GCMs : 29
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Climate exposure Index developed based on Mid century period climate data (2040-2069) Climate exposure Index developed based on Base climate (1980-2009)
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Observed baseline mean maximum temperatures (oC) Observed baseline mean minimum temperatures (oC)
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Mean number of consecutive days during summer period when maximum temperature >45oC (1980-2009) Mean number of days when minimum temperature is < 10o C (2040-2069)
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Telangana Vulnerability Index 2013-2014*
CV- Current Vulnerability SV- Social Vulnerability ECV- Economic Vulnerability AGV- Agricultural Vulnerability WV-Water Vulnerability CLV- Climate Vulnerability VL-Very Low L – Low M – Medium H – High VH-Very High
* Prior to the reorganization of the Districts
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2013-2014 - Prior to the reorganization of the Districts
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Energy Industries (including mining) Agriculture and Allied Services Forestry & Biodiversity Transportation Health Urban Development Tourism Rural Development
Awareness of all stakeholders Information availability, frequency and adequacy Inter weaving CC impact assessment and adaptability into state projects and policy
Implementation in mission mode for some initiatives
Innovative pilot field implementation to replicating at state or district or vulnerable area level
Policy level intervention
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integral part of social fabric since the legacy of Kakatiyas in Telangana state.
Mission Kakatiya: Aimed at restoration and rehabilitation of all 46531 water bodies in the state in a phased manner. Achievements:
acres.
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water sources at:
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collect, conserve and supply much needed water to the state
intermediate pumping stations, 16 intake wells, 110 water treatment plants and 37,573 Overhead Service Reservoirs
and minimal electricity (182 MW)
water in villages and collection of taxes
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Telangana Fibre Grid (T-Fibre) is a novel initiative, where the trenches dug for Mission Bhagiratha (Water Grid ) to supply drinking water, would be utilised to lay fibre-optic cables. T-Fibre digital infrastructure shall provide active and passive networks to all 83.58 lakh households in the entire state ofTelangana.
launched a flag ship programme “Telanganaku Haritha Haaram (THH)” in the year 2014-15.
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Planting Achievements so far: 2015-16: 15.86 Cr 2016-17: 31.67 Cr 2017-18: 34.07 Cr Total plants planted so far: 81.60 Cr.
CCA-RAI Project in Telangana by GIZ
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RAHACT_HHID Village Mandal Farmer Category Social Capital Human Capital Natural Capital Financial Capital Physical & Technical Capital Livelihood diversification Vulnerability Score Kmeans cluster Category
TS-MN01A0001 Lattupalli Bijinapalli Small 0.04 0.00 0.03 0.11 0.04 0.10 0.31 1 Moderate TS-MN01A0002 Lattupalli Bijinapalli Small 0.04 0.04 0.03 0.05 0.04 0.10 0.29 4 High TS-MN01A0003 Lattupalli Bijinapalli Small 0.04 0.00 0.03 0.09 0.06 0.10 0.31 1 Moderate TS-MN01A0004 Lattupalli Bijinapalli Medium 0.07 0.06 0.03 0.09 0.04 0.10 0.38 1 Moderate TS-MN01A0005 Lattupalli Bijinapalli Medium 0.04 0.00 0.05 0.11 0.04 0.10 0.33 1 Moderate TS-MN01A0006 Lattupalli Bijinapalli Medium 0.04 0.01 0.06 0.17 0.03 0.00 0.30 1 Moderate TS-MN01A0007 Lattupalli Bijinapalli Medium 0.04 0.00 0.05 0.17 0.03 0.10 0.38 1 Moderate TS-MN01A0008 Lattupalli Bijinapalli Medium 0.04 0.01 0.05 0.11 0.03 0.10 0.33 1 Moderate TS-MN01A0009 Lattupalli Bijinapalli Medium 0.07 0.00 0.05 0.06 0.07 0.10 0.33 1 Moderate TS-MN01A0010 Lattupalli Bijinapalli Labour 0.00 0.07 0.00 0.06 0.00 0.00 0.12 3 Extreme TS-MN01A0011 Lattupalli Bijinapalli Labour 0.03 0.03 0.00 0.04 0.00 0.00 0.09 3 Extreme TS-MN01A0012 Lattupalli Bijinapalli Labour 0.00 0.01 0.00 0.06 0.00 0.10 0.16 3 Extreme TS-MN01A0013 Lattupalli Bijinapalli Labour 0.00 0.00 0.00 0.06 0.00 0.00 0.06 3 Extreme TS-MN01A0014 Lattupalli Bijinapalli Small 0.05 0.01 0.03 0.06 0.03 0.00 0.17 4 High TS-MN01A0015 Lattupalli Bijinapalli Small 0.00 0.01 0.02 0.04 0.03 0.00 0.09 3 Extreme TS-MN01A0016 Lattupalli Bijinapalli Small 0.00 0.02 0.00 0.04 0.00 0.00 0.06 3 Extreme TS-MN01A0017 Lattupalli Bijinapalli Medium 0.05 0.04 0.07 0.09 0.08 0.00 0.32 1 Moderate TS-MN01A0018 Lattupalli Bijinapalli Small 0.00 0.01 0.00 0.06 0.00 0.00 0.07 3 Extreme TS-MN01A0019 Lattupalli Bijinapalli Small 0.00 0.01 0.00 0.06 0.00 0.00 0.06 3 Extreme TS-MN01A0020 Lattupalli Bijinapalli Medium 0.07 0.04 0.05 0.11 0.04 0.00 0.29 1 Moderate TS-MN01A0021 Lattupalli Bijinapalli Labour 0.00 0.00 0.00 0.04 0.00 0.00 0.04 3 Extreme TS-MN01A0022 Lattupalli Bijinapalli Small 0.07 0.00 0.04 0.09 0.04 0.10 0.33 1 Moderate TS-MN01A0023 Lattupalli Bijinapalli Small 0.04 0.01 0.00 0.06 0.00 0.00 0.10 3 Extreme TS-MN01A0024 Lattupalli Bijinapalli Small 0.04 0.00 0.03 0.06 0.03 0.10 0.25 4 High TS-MN01A0025 Lattupalli Bijinapalli Medium 0.07 0.06 0.05 0.09 0.03 0.00 0.29 1 Moderate
Villages Extreme High Moderate Resilient Total Agaram 53 51 51 20 175 Allamaipally 143 112 123 46 424 Anthaipally 15 25 21 9 70 Appareddypalle (c) 14 11 18 12 55 ChinnaAdirala 85 111 144 77 417 Goplapur 38 54 103 37 232 Gowraram (c) 6 16 20 18 60 Khanapur (c) 8 10 28 9 55 Kodgal 165 176 259 113 713 Konded 52 56 72 47 227 Lattupalli 287 321 361 141 1110 Lingampet (c) 15 17 38 21 91
90 89 94 54 327 Nekkonda (c) 14 10 33 34 91 Parvatapur 113 88 85 52 338 PeddaAdirala 148 192 336 193 869 Salkarpet 70 113 148 71 402 Tirmalayapalle (c) 11 26 24 4 65 Vasanthapur 26 67 129 44 266 Vattem 297 298 305 105 1005 Venkatampally 97 84 81 43 305 Waddeman 253 297 336 217 1103 Total 2000 2224 2809 1367 8400
Number of households in different groups of vulnerability 4 groups - Extreme, High, Moderate and Resilient
Adaptation strategies were prepared for:
& 1.0 ha)
and <3 ha)
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Information Dissemination through
A Knowledge Management Web Portal (TSCCC) http://www.tsccc.eptri.com/ Videos, Reports and Policy Briefs
1. Transportation, Road and Buildings
3. Environment, Forest, Science and Technology
5. Finance
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Climate Analysis Development Indicators Excluding CC Development Indicators Including CC Development Indicators+ Adaptation Policies
7. Municipal Administration & Urban Development
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Indicator Indicator Category Interpretation Environment al Indicator Climate Change Indicator Energy Department Percentage of total energy produced in the state from renewable energy sources Higher value means better performance Percentage
solar and wind energy potential exploited Higher value means better performance Transmission and distribution losses Lower value means better performance Fresh water consumption by thermal power plants Lower value means better performance Percentage utilization of fly ash by thermal power plants Higher value means better performance
Identification of Grassroots- Implementation
Potentials for Scaling Up/ Scaling out in the region
Agriculture and allied livelihoods for livestock and value addition to local resources are key to reducing vulnerability to climate risks in the region
identified as key factors to influence and replicate practice Spaces for Influencing Policy Implementation and Design
monitoring and evaluation are to paraphrased under climate lens
that enable the reporting of schemes and programs in terms of Climate Change perspective
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https://climateanalysis.valuelabs.com/loggedin/
Challenge:
We were presented with a challenge to build a Web interface to eliminate technical dependency that arise while accessing high- resolution gridded and station-based climate projections, calculate a range of different climate indicators, and illustrate the results as statistical plots for Weather Stations and gridded plot representations for Model data.
Solution:
Solution involved building an Web interface that provides ease of use to all users (technical and non technical people) to generate plots for Weather Stations and gridded plot representations for Model data. This application also eliminates tool dependency by integrating the required as part of backend process and provide user a seamless experience at just click of button. Below are direct benefits of application: The application was developed keeping in mind the ease of usage so that it removes Technical/Tool dependency involved The data projection which generally take about 4-5 hours for generation are now at click away thanks to the scheduled jobs running in and producing the required output’s before hand Integrating multiple facets such as spatial plots drilling down and various temporal scales for region An scalable application to accommodate Climate projections for entire World
OVERVIEW
PROCESS FLOW
VULNERABILITY TO CLIMATE CHANGE
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Demography Land Area: 114, 840 sq. km Population: 35,193,978 55% dependent on farm activity Literacy Ratio: 67% Climate Predominantly hot and dry 63% of Agriculture is rain-fed Forests: 24% of total area Many drought-prone districts
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Prepared with the support of CII Compare with other states’ and country’s benchmarks.
Create a State Carbon Inventory
Revise the State Action Plan on Climate Change Prepare emission reduction targets at sectoral level Identify co-benefits and prioritize such actions.
Analyze areas of maximum emissions reduction potential
Work towards achieving the state targets Ensure compliance with National targets Achieve Low-Carbon, Sustainable Economic Development
Partner and work with priority sectors
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capita), although it is much below the global average (4.97).
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Sectoral issues Key interventions Agriculture Lot of land falls in the rain shadow areas; acute shortage of water. Increase percentage of sown area Check dam, farm ponds and conservation furrows Canal irrigation, reduce well irrigation. Adopt groundwater recharge practices Farmers facing huge debts on account of losses due to failure in crops Crop diversification R&D to develop heat/drought resistant varieties of crops Establishment of an institutional framework to maximize incentives for agriculture
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Forest and Bio diversity
Key interventions
Degradation
forests and deforestation Joint Forest Management Integrated Afforestation & Eco-development Project (IAEP) to check forest degradation and loss
Extinction of many species due to loss
forests and unchecked killing. Marine life at danger due to loss of plankton Creation of biodiversity registers Effective implementation
Protected Area System under Wildlife Conservation Act and of National Biodiversity Conservation Act, 2001
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Sectoral issues Key interventions Industries (Mining) Deforestation and land degradation Mandatory compensatory afforestation Ensuring environmentally safe mine closure Water Pollution Effluent treatment plants for liquid waste Urban Development Demand on water resources due to the growth in the urban population and increased pressure on water supply. Generation of huge quantum of solid waste Safe water supply as per norms of urban development Study and remodel existing water supply, sanitation and sewerage systems to reduce climate change vulnerability. Scientific management of municipal solid waste in all municipalities and corporations Restoring efficiency of drainage network of all municipalities to enable quick evacuation of water and to avoid flooding.
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Mitigation in Industrial Parks Resilient Industrial Infrastructure
Climate Change Adaptation Policy for Industrial Areas (2016)
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Sectoral issues Key interventions Tourism
Safeguard natural resources and biodiversity Research, monitor and address impacts of climate change on natural resource and biodiversity Impacts of climate change on tourism Education/awareness raising on impacts of climate on tourism among tourism businesses staff, as well as tourists
Energy
Use of fossil fuel is the principal contributor climate change Incentivizing clean coal technologies Demand side management plan to reduce consumption
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Sectoral issues Key interventions
Rural Development Deterioration of natural water resources and other ecological resources which is having an impact on the rural population 100% coverage of sewerage and sanitation for the rural population (projected as of 2022) Remodel or strengthen existing water supply and sanitation/sewerage systems to reduce vulnerability to climate change Large rural-urban migration is putting pressure on the urban infrastructure Creation of new water bodies (lakes, tanks etc.) and restoration of existing dilapidated water bodies Water shed development, catchment area system and water management systems Transport Increase in vehicular population and low share of public transport Enhancing the share of public transport Interlinking of private and public transport modes Encouraging non-motorized transport like walking and cycling
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Sectoral issues Key interventions
Health Increased impact of vector borne and water borne diseases Strengthening detection and early warning systems for
Increased air-pollution related health impacts Public education on prevention of diseases related to climate change and resulting from environmental pollution Increased impact of extreme weather related events Research on development of low cost vaccines, particularly those related to vector borne diseases
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RE Mix FY14-15
FY14-15 119MW May 2017 1320 MW June 2017 2570 MW 2018-19 6135MW
Others 4% Wind 60% Biomass 7% Bagasse 11% Solar 18% Total RE energy available in FY14-15 767MU
Telangana set to be solar hotspot of India