Sourav Chakrabortty, CSO, India

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Transcription:

Sourav Chakrabortty, CSO, India 1

Intergovernmental Panel for Climate Change (IPCC) defines climate change as a statistically significant variation in either the mean state of the climate or in its variability, persisting for an extended period (typically decades or more) 2

Climate change may results from: Changes in the sun s intensity or slow changes in the Earth s orbit around the sun Natural processes within the climate system such as changes in ocean circulation Human activities that change the atmosphere s composition and the land surface 3

Different models are used to find the impact of climate change on economic development, livelihood and ecosystem Climate models at the global and regional scale are used to study and simulate variations in climate because of the human induced perturbation 4

Climate changes have affected a diverse set of physical and biological systems across the world Developing countries, in particular, are more vulnerable to the impacts of climate change Strong correlation between emissions per capita and income per capita India is one of the low GHG per capita country in the world Climate change has multi-sectoral impact 5

6

In India, climate change could represent an additional stress on ecological and socioeconomic systems Surface air temperatures in India are going up at the rate of 0.4 o C per hundred years Mean winter temperatures will increase by as much as 3.2 o C in the 2050s and 4.5 o C by 2080s, due to Greenhouse gases Summer temperatures will increase by 2.2 o C in the 2050s and 3.2 o C in the 2080s 7

Effect on the monsoons India will experience a decline in summer rainfall by the 2050s Can contribute to flood disasters in the Himalayan catchment A trend of sea level rise of 1 cm per decade has been recorded along the Indian coast Climate Change will adversely affect human health in India 8

DATA SOURCES Ministry/Organisation/Insti tution name Indian Metrological Department Central Pollution Control Board Ministry of Home Affairs Type of data Cyclone warning and monitoring Air pollution Damages due to heavy rain, flood

DATA SOURCES Ministry/Organisation/Insti tution name Geological Survey of India Type of data Landslide Central Water Commission Central Bureau of Health Intelligence Flood forecasting Health

DATA SOURCES Ministry/Organisation/Insti tution name Ministry of Agriculture Central Statistical Organisation Ministry of Environment & Forest Type of data Land use, soil erosion, drought, impact of extreme temperature on Compendium production of Environment Statistics Environment and forest related data

A New Initiative in India 12

While some of the hazards and disasters are manmade but most of them occurs due to change in climate At present no database on hazards and disaster statistics exists in India A database of disaster and hazards can help researchers and policy makers to analyse the impact of climate more fruitfully It will also help in identifying the disaster prone areas 13

Realizing the need to develop a National database on hazards and disasters, the Central Statistical Organisation (CSO) of India has taken an initiative for developing a framework for compilation of hazards and disaster statistics on regular basis Central Statistical Organisation (CSO) and National Institute of Disaster Management (NIDM) is currently working on this database 14

In India few scientific organizations like IMD, CWC, GSI are collecting hazard/disaster data Different organizations are using different formats and different geographical levels India is currently developing a uniform framework for compilation of Hazard and Disaster Statistics to get an overall picture of hazard/disaster profile of States and Districts on annual basis The District has been selected as primary unit for collection of data. 15

There will be two sets of broad dataset Hazard Statistics Disaster Statistics Hazard Statistics will include: Rainfall:- District-wise data on heavy and scant rainfall and comparison table with normal rainfall Tropical Depressions:-District-wise tropical depressions in all coastal districts 16

Seismic Hazards:- Seismic data of all earthquakes with magnitude of 5 and above for districts in India and neighboring countries Landslides:- Data on all reported landslides Floods:- District-wise moderate, high and unprecedented floods, Data on reservoir levels of all major reservoirs in the country Drought, Hailstorms, Pest Attacks :- Districtwise data on drought, hailstorm and pest 17 attacks

Industrial Hazards:- Industrial/chemical accidents Railway Hazards and Accidents:- Data on railway deaths, injuries and damages to railway infrastructure Aviation Accidents:- Aviation accidents involving deaths, injuries and danger to infrastructure Health Hazards: Important Public health hazards 18

Disaster Statistics will contain three parts: Damage, Relief and Reconstruction Damage data has been classified into eight categories: 1. Lives (deaths & injuries) 2. Livestock (deaths) 3. Agriculture (Sown area affected and production loss) 4. Housing (full or partial damage) 19

5. Infrastructure (damage to roads, bridges, water supply, sewerage system, irrigation, electric supply, shops/commercial buildings, other utilities) 6. Environmental Damage 7. Damage at macro-economic level 8. Health (occurrence of epidemic due to water borne and vector borne disease) 20

Data on Relief and Rehabilitation will cover the cost of relief and detailed mechanism of rehabilitation at district level 21

Name of indicators/variables Rainfall, Tropical depression, Aviation accidents, Health hazards Seismic hazards, landslides, Floods, Drought, Hailstorms, Pest attacks, Aviation accidents, Health Industrial hazards hazards, Railway hazards Type Climate related environmental variables Outcome of climate changes Neither climate related environmental variables nor an outcome of climate change

Linking these climate related variables and outcomes of climate changes to the data on damages, one can perform a detailed level analysis at the district level The effect on climate change on economic development, ecosystem and human lives can be analysed for different environmental zones using the detailed level data at district level

The challenge before us is not only a large one, it is also one in which every year of delay implies a commitment to greater climate change in the future 24