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Geographic information system (GIS) representation of coal-bearing areas in India and Bangladesh

About: The article was published on 2011-01-01 and is currently open access. It has received 9 citations till now. The article focuses on the topics: GIS and public health & Geographic information system.

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Citations
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Journal ArticleDOI
TL;DR: 1-km spatially-explicit global land suitability maps are generated, referred to as “development potential indices” (DPIs), for 13 sectors related to renewable energy, fossil fuels, mining, and agriculture to illustrate how these DPIs can be used to elucidate potential individual sector expansion and cumulative development patterns.
Abstract: Mapping suitable land for development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic development and the environment. Previous land suitability assessments have generally focused on a few development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “development potential indices” (DPIs), for 13 sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource potential and development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned development. We illustrate how these DPIs can be used to elucidate potential individual sector expansion and cumulative development patterns. Machine-accessible metadata file describing the reported data (ISA-Tab format)

51 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate the potential for renewable jobs to replace coal mining jobs and find that several GWs of solar or wind capacity would be required in each coal mining area to transition all coal miners to solar/wind jobs.
Abstract: Coal mining directly employs over 7 million workers and benefits millions more through indirect jobs. However, to meet the 1.5 degrees C global climate target, coal's share in global energy supply should decline between 73% and 97% by 2050. But what will happen to coal miners as coal jobs disappear ?Answering this question is necessary to ensure a just transition and to ensure that politically powerful coal mining interests do not impede energy transitions. Some suggest that coal miners can transition to renewable jobs. However, prior research has not investigated the potential for renewable jobs to replace 'local' coal mining jobs. Historic analyses of coal industry declines show that coal miners do not migrate when they lose their jobs. By focusing on China, India, the US, and Australia, which represent 70% of global coal production, we investigate: (1) the local solar and wind capacity required in each coal mining area to enable all coal miners to transition to solar/wind jobs; (2) whether there are suitable solar and wind power resources in coal mining areas in order to install solar/wind plants and create those jobs; and (3) the scale of renewables deployment required to transition coal miners in areas suitable for solar/wind power. We find that with the exception of the US, several GWs of solar or wind capacity would be required in each coal mining area to transition all coal miners to solar/wind jobs. Moreover, while solar has more resource suitability than wind in coal mining areas, these resources are not available everywhere. In China, the country with the largest coal mining workforce, only 29% of coal mining areas are suitable for solar power. In all four countries, less than 7% of coal mining areas have suitable wind resources. Further, countries would have to scale-up their current solar capacity significantly to transition coal miners who work in areas suitable for solar development.

51 citations


Cites methods from "Geographic information system (GIS)..."

  • ...For India, since coal mine datasets are not available, we used the USGS’s coalfields dataset (Trippi and Tewalt 2011) and highlighted the key coalfields where large-scale coalmining is currently happening....

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Journal ArticleDOI
07 Oct 2015-PLOS ONE
TL;DR: This work project and aggregate global spatial patterns of expected urban and agricultural expansion, conventional and unconventional oil and gas, coal, solar, wind, biofuels and mining development, which could result in half of the world’s biomes becoming >50% converted while doubling and tripling the extent of land converted in South America and Africa.
Abstract: A growing and more affluent human population is expected to increase the demand for resources and to accelerate habitat modification, but by how much and where remains unknown. Here we project and aggregate global spatial patterns of expected urban and agricultural expansion, conventional and unconventional oil and gas, coal, solar, wind, biofuels and mining development. Cumulatively, these threats place at risk 20% of the remaining global natural lands (19.68 million km2) and could result in half of the world’s biomes becoming >50% converted while doubling and tripling the extent of land converted in South America and Africa, respectively. Regionally, substantial shifts in land conversion could occur in Southern and Western South America, Central and Eastern Africa, and the Central Rocky Mountains of North America. With only 5% of the Earth’s at-risk natural lands under strict legal protection, estimating and proactively mitigating multi-sector development risk is critical for curtailing the further substantial loss of nature.

49 citations

Journal ArticleDOI
TL;DR: In this paper, a thermophilic methanogenic consortium was enriched from samples collected from Banaskantha coal mines (depth of about 1200m) of western India that had bottom-hole temperature of around 62°C.

44 citations


Cites background from "Geographic information system (GIS)..."

  • ...Coals are confined to the Middle Tharad Formation of Middle Eocene age (Trippi and Tewalt, 2011)....

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  • ...1a. Coals are confined to the Middle Tharad Formation of Middle Eocene age (Trippi and Tewalt, 2011)....

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Journal ArticleDOI
TL;DR: In this article, a model to estimate the fracture toughness of coal based on nanoindentation is proposed to characterize the multiphase and multiscale nature of heterogeneity in the mechanical properties of Gondwana coal.

26 citations

References
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Journal ArticleDOI
TL;DR: In this paper, the authors investigated the relationship between electricity supply, employment and real GDP for India within a multivariate framework using autoregressive distributed lag (ARDL) bounds testing approach of cointegration.

190 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide a general overview of electricity consumption in Bangladesh, forecast sector-wise electricity demand up to 2035 considering the base year 2005, and compare the results with official projections.

66 citations

Journal ArticleDOI
TL;DR: The Barapukuria coal deposit is one of the five largest Gondwana coal basins in Bangladesh, and is located in the north west of the country close to the towns of Dinajpur and Saidpur as discussed by the authors.

59 citations

Journal ArticleDOI
TL;DR: In this paper, the results of the chemical and petrological studies carried out on Vastan Lignites of Gujarat have been presented, which reveal that these lignites originated under moderate to high water cover in limnic environments with evidences supporting anaerobic decay of organic matter with a loss of structural components of vegetal matter.

56 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed a lithostratigraphic interpretation of the Indian Gondwana succession in the Peninsular Basins based only on physical criteria such as lithological association, their petrographical characteristics and the most fundamental tool of stratigraphy, "the order of superposition".

39 citations