Showing posts with label FEATURES. Show all posts
Showing posts with label FEATURES. Show all posts

Thursday, October 10, 2013

Fact Sheet- Mizoram Assembly Election


Date of Polling :- (Wednesday) 4 .12.2013 & Date of Counting : Sunday 8.12.2013
S.No
Item

1
Number & Types of AssemblyConstituencies in the state
General
01
SC
00

ST

39
Total
40
2
Population of the State

1097206 ( as per Census 2011)
3
Total Electors
6,86,305
4
Female/Male Ratio

1038
5
Percentage of EPIC issued

100%
6
Number of Recognized State Parties
3
7
Smallest Assembly constituency (Areawise)

14-Aizawl East-11
8
Smallest Assembly constituency(Electorate wise)

34-Thorang
9
Largest Assembly constituency (area wise)

40-Palak
10
Largest Assembly constituency(Electorate wise)
36-Tichawng
11
Total No. of Polling Stations

1126
12
Number of General, Expenditure , Police & Awareness Observers  deployed
General Observers :31, Police Observers :2 , Expenditure Observers 9,Awareness Observers : 2
13
Poll expenditure limit per candidate (as per M/o Law Notification No. 11019(1)/2011-Leg.II dated 23rd February, 2011
Rs. 8 Lakh

Fact Sheet- Delhi Assembly Election


Date of Polling :-  (Wednesday) 4.12.2013 & Date of Counting : (Sunday) 8.12.2013
S.No
Item

1
Number Types of Assembly Constituencies
General
58
SC
12
ST
00
Total
70
2
Population of the State

1,67,53,235
3
Total Electors
1,15,07,113
4
Female/Male Ratio

804
5
Percentage of EPIC issued

100%
6
Number of Recognized State Parties
06

7
Smallest Assembly constituency (Area wise)

AC-22 Balimaran
(2.50 Sq.Km)
8
Smallest Assembly constituency (Electoratewise)

AC- 38 Delhi Cantt
(85821)
9
Largest Assembly constituency (area wise)

AC – 01 Narela
(143.42 Sq. Km)
10
Largest Assembly constituency (Electoratewise)
AC- 31 Vikas Puri
(282632)
11
Total No. of Polling Stations

11,763
12
Number of General, Expenditure , Police & Awareness Observers  deployed
General Observers :70, Police Observers :2 , Expenditure Observers 18 ,Awareness Observers :3
13
Poll expenditure limit per candidate (as per M/o Law Notification No. 11019(1)/2011-Leg.II dated 23rd February, 2011
Rs. 16 Lakh

Fact Sheet- Chattisgarh Assembly Election


Date of Polling :- Ist Phase ( 18 ACs)  Monday,11.11.2013 & 2nd Phase (72 ACs) Tuesday 19.11.2013 & Counting of Votes : (Sunday) 8.12.2013
S.No
Item

1


Number & Types of AssemblyConstituencies in the state
General
51
SC
10
ST
29
Total
90
2
Population of the State

                       25545198
3
Total Electors
1,67,96,174
4
Female/Male Ratio

964
5
Percentage of EPIC issued

98.91
6
Number of Recognized State Parties

NIL
7
Smallest Assembly constituency (Areawise)

50-Raipur City North
8
Smallest Assembly constituency(Electorate wise)

84-Narayanpur
9
Largest Assembly constituency (area wise)

89-Bijapur
10
Largest Assembly constituency(Electorate wise)
44-Kasdol
11
Total No. of Polling Stations

21, 418
12
Number of General, Expenditure , Police & Awareness Observers  deployed
General Observers :90, Police Observers :27 , Expenditure Observers 30, Awareness Observers : 9
13
Poll expenditure limit per candidate (as per M/o Law Notification No. 11019(1)/2011-Leg.II dated 23rd February, 2011
Rs. 16 Lakh

Sunday, September 22, 2013

National Project on Climate Resilient Agriculture

Climate Change, caused by the increased concentration of greenhouse gases (GHGs) in the atmosphere, has emerged as the most prominent global environmental problem. Most of the countries including India are facing the problems of rising temperature, melting of glaciers, rising of sea-level leading to inundation of the coastal areas, changes in precipitation patterns leading to increased risk of recurrent droughts and devastating floods, threats to biodiversity, an expansion of pest and a number of potential challenges for public health.

Realizing that the climate change is likely to have major impacts on agriculture, the Government through Indian Council of Agricultural Research (ICAR) has assessed the impact of climate change on Indian agriculture under different scenarios using crop simulation models. 

The Indian Council of Agricultural Research (ICAR) has conducted climate change impact analysis on crop yields through various centres in different parts of the country using crop simulation models (INFO-CROP and HAD CM3) for 2020, 2050 and 2080.

The results indicate variability in temperature and rainfall pattern with significant impacts on crop yields. These studies projected reduction in yields of irrigated rice by about 4% in 2020, 7% in 2050 and 10% in 2080. 

The Government through Indian Council of Agricultural Research (ICAR) has initiated a network project on ‘National Initiative on Climate Resilient Agriculture’ (NICRA) to enhance resilience of Indian agriculture through Strategic Research on adaptation and mitigation (covering crops, livestock, fisheries and natural resource management), Technology Demonstration, Capacity Building and Sponsored/Competitive Grant Projects. 

Objectives: 

 To enhance the resilience of Indian agriculture covering crops, livestock  and fisheries to climatic variability and climate change through development and application of improved production and risk management technologies
  To demonstrate site specific technology packages on farmers’ fields for adapting to current climate  risks
 To enhance the capacity building of scientists and other stakeholders in climate resilient agricultural research and its application.

XII Five Year Plan objectives related to the project are: 

 Strengthening the existing network research on adaptation and mitigation (food crops, horticulture, livestock and fishery) with more infrastructure and capacity building.
 Setting up of high through put phenotyping platforms and temperature, CO2, ozone gradient facilities at identified locations/ institutions including North East region.
 Strengthening research on  climate sensitive crops like cotton, maize, sugarcane, onion, etc. which are critical for India’s farm GDP/exports but not covered in the XI Plan.
 Projected impacts on water availability at the river basin level and participatory action research at large number of sites on evolving coping strategies through water saving technologies.
 Evolving a national level pest and disease monitoring system to assess the changing pest/disease dynamics under changed climate (both in crops and livestock).
 Strengthening crop simulation and climate scenario down-scaling modeling capabilities at major Institutes and a dedicated unit at IARI, New Delhi.
 Piloting the operationalization of the district/block level agromet advisory services through KVKs/district line departments and contingency plans during droughts and floods.
 Expanding the technology demonstration and dissemination to 130 vulnerable districts of the country.

S.R Hashim Report on methodology for identification of poor in urban areas

With the objective of putting in place a uniform criterion to identify the BPL households in urban areas so that objectivity and transparency is ensured in delivery of benefits to the target groups, the Planning Commission constituted an Expert Group under the Chairmanship of Professor S.R. Hashim.

The terms of reference of the Expert Group are as follows:

a) To recommend appropriate detailed methodology with simple, transparent and objectively measurable indicators, to identify Below Poverty Line (BPL) Households in urban areas for providing assistance under various schemes targeted at the urban poor;
b) To recommend periodicity for the conduct of BPL Survey in Urban Areas or the mechanisms to review such a BPL list;
c)To recommend institutional mechanisms for the conduct of BPL survey, survey questionnaire, processing of data, training, validation and approval of urban BPL list at various levels;
d) To recommend suitable institutional mechanisms to address the grievances of public on exclusion/inclusion in the urban BPL List;
e) Any other suggestions/recommendations to make the exercise of Urban BPL survey simple, transparent and acceptable.

The methodology recommended is as follows:

the Expert Group decided that poverty in Urban areas could be best captured by identifying three categories of vulnerabilities, i.e., residential vulnerability, occupational vulnerability and social vulnerability that the urban poor is subjected to. It was agreed to evolve a methodology to identify urban poor based on the various dimensions of these three areas of vulnerabilities to be qualified by a number of indicators which would also give an idea of the depth/intensity of the vulnerability.

Based on the above broad approach, the Expert Group recommends a three stage identification process (i) Automatic Exclusion ; (ii) Automatic Inclusion ; and (iii) Scoring Index.

Stage 1: Automatic Exclusion: If the number of dwelling rooms exclusively in possession of the household is 4 and above, that household will be excluded. Secondly, the household possessing any one of the assets, i.e., ‘4 wheeler motorized vehicle’, ‘AC Set’ and ‘computer or laptop with internet’ will also be excluded. Besides the households possessing any three of the following four assets, i.e., refrigerator, telephone (landline), washing machine, two wheeler motorized vehicle will also be excluded.

Stage 2: Automatic Inclusion: households facing various kinds of deprivations and vulnerabilities viz. residential, social and occupational vulnerabilities would be automatically included in the BPL List.

a) Under residential vulnerability, If the household is ‘houseless’ or the household has a house with roof and wall made of plastic/polythene or the household having only one room or less with the material of wall being grass, thatch, bamboo, mud, un-burnt brick or wood and the material of roof being grass, thatch, bamboo, wood or mud, then that will be automatically included.
b) Under occupational vulnerability, the household having no income from any source; any household member (including children) engaged in a vulnerable occupation like beggar/rag picker, domestic worker (who are actually paid wages) and sweeper/sanitation worker /mali); and all earning adult members in a household are daily wagers or irregular wagers, then that household should be automatically included.
c) Under social vulnerability, if there is no member of the household aged 18 years and above (Child-headed household) or there is no able-bodied person aged between 18 and 60 years in the household or all earning adult members in a household are either disabled, chronically ill or aged more than 65 years, then that household should be automatically included.

Stage 3: Scoring Index: In the third and final stage, the remaining households will be assigned scores from 0 to 12 based on various indicators of residential, social and occupational vulnerabilities. Those households with scores from 1 to12 are to be considered eligible for inclusion in the BPL List in the increasing order of the intensity of their deprivations meaning thereby that those with higher scores are more deprived.

National Mission for Green India

The National Mission for a Green India, as one of the eight Missions under the National Action Plan on Climate Change (NAPCC), recognizes that climate change phenomena will seriously affect and alter the distribution, type and quality of natural resources of the country and the associated livelihoods of the people. The Mission (henceforth referred to as GIM) acknowledges the influences that the forestry sector has on environmental amelioration through climate mitigation, food security, water security,biodiversity conservation and livelihood security of forest dependent communities.

The objectives of the mission are three-fold:

• Double the area to be taken up for afforestation/eco-restoration in India in the next 10 years, taking the total area to be afforested or eco-restored to 20 million ha.(i.e., 10 million ha of additional forest/non forest area to be treated by the Mission, in addition to the 10 million ha which is likely to be treated by Forest Department and other agencies through other interventions).
• Increase the GHG removals by India's forests to 6.35% of India's annual total GHG emissions by the year 2020 (an increase of 1.5% over what it would be in the absence of the Mission). This would require an increase in above and below ground biomass in 10 million ha of forests/ecosystems, resulting in increased carbon sequestration of 43 million tons CO2-e annually .
• Enhance the resilience of forests/ecosystems being treated under the Mission enhance infiltration, groundwater recharge, stream and spring flows, biodiversity value, provisioning of services (fuel wood, fodder, timber, NTFPs, etc.) to help local communities adapt to climatic variability.

The Mission targets can be classified as:
• 2.0 m ha of moderately dense forests show increased cover and density.
• 4.0 m ha of degraded forests are regenerated/afforested and sustainably managed.
 0.10 m ha of mangroves restored/established.
 0.10 m ha of wetlands show enhanced conservation status.
 0.20 m ha of urban/peri urban forest lands and institutional lands are under tree cover.
 1.50 m ha of degraded agricultural lands and fallows are brought under agro-forestry.
•  0.10 m ha of corridor areas, critical to wildlife migration are secure.
• Improved fuel wood use efficiency devices adopted in about 10 million households (along with alternative energy devices).
 Biomass/NTFP based community livelihoods are enhanced that lead to reduced vulnerability.

Some key highlights of the Mission strategy are listed below:

1. Holistic view to “greening” (broader than plantations):

The scope of greening will not be limited to just trees and plantations. Emphasis will be placed on restoration of ecosystems and habitat diversity e.g. grassland and pastures (more so in arid/semi-arid regions), mangroves, wetlands and other critical ecosystems. It will not only strive to restore degraded forests, but would also contribute in protection/enhancement of forests with relatively dense forest cover.

2. Integrated cross-sectoral approach to implementation:

The Mission would foster an integrated approach that treats forests and non forest public lands as well as private lands simultaneously, in project units/ sub-landscapes/sub-watersheds. Drivers of degradation e.g. firewood needs and livestock grazing will be addressed using inter sectoral convergence (e.g. livestock, forest, agriculture, rural development, energy etc.)

3. Key role for local communities and decentralized governance:

Local communities will be required to play a key role in project governance and implementation. Gram Sabha and its various committees/groups including JFMCs, CFM groups, Van Panchayats, etc. would be strengthened as institutions of decentralized forest governance. Likewise, the Mission would support revamping/strengthening of the Forest Development Agencies. The Mission would support secured community tenure, capacity building for adaptive forest management and livelihood support activities e.g. community based NTFP enterprises.

4. Vulnerability' and 'Potential' as criteria for intervention:

An overarching criterion for selection of project areas/sub-landscapes/sub-watersheds under the Mission would include vulnerability to climatic change projections and potential of areas for enhancing carbon sinks.

5. Robust and effective monitoring framework:
A comprehensive monitoring framework at four different levels is proposed. In addition to on-ground self- monitoring by multiple agencies, the Mission would support use of modern technology like Remote Sensing with GPS mapping of plot boundaries for monitoring at output/ outcome level. A few identified sites within the project area will be selected for intensive monitoring using additional parameters like ground cover, soil condition, erosion and infiltration, run-off, ground water levels to develop water budgets as well as biomass monitoring indicators. The Mission would also commission a comprehensive research needs assessment in support of Mission aim and objectives. The Mission would set up a cell within Mission Directorate to coordinate REDD Plus activities in the country.