Please login first
Avit K. Bhowmik  - - - 
Top co-authors
Pedro Cabral

51 shared publications

NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, Lisbon, Portugal

18
Publications
0
Reads
0
Downloads
63
Citations
Publication Record
Distribution of Articles published per year 
(2011 - 2018)
Total number of journals
published in
 
14
 
Publications See all
Article 0 Reads 1 Citation Persistent organic pollutant emission via dust deposition throughout Pakistan: Spatial patterns, regional cycling and th... Muhammad Sohail, Syed Ali Musstjab Akber Shah Eqani, Joel Po... Published: 01 March 2018
Science of The Total Environment, doi: 10.1016/j.scitotenv.2017.08.224
DOI See at publisher website
Article 0 Reads 10 Citations Modelling Urban Sprawl Using Remotely Sensed Data: A Case Study of Chennai City, Tamilnadu Rajchandar Padmanaban, Avit K. Bhowmik, Pedro Cabral, Alexan... Published: 07 April 2017
Entropy, doi: 10.3390/e19040163
DOI See at publisher website ABS Show/hide abstract
Urban sprawl (US), propelled by rapid population growth leads to the shrinkage of productive agricultural lands and pristine forests in the suburban areas and, in turn, adversely affects the provision of ecosystem services. The quantification of US is thus crucial for effective urban planning and environmental management. Like many megacities in fast growing developing countries, Chennai, the capital of Tamilnadu and one of the business hubs in India, has experienced extensive US triggered by the doubling of total population over the past three decades. However, the extent and level of US has not yet been quantified and a prediction for future extent of US is lacking. We employed the Random Forest (RF) classification on Landsat imageries from 1991, 2003, and 2016, and computed six landscape metrics to delineate the extent of urban areas within a 10 km suburban buffer of Chennai. The level of US was then quantified using Renyi’s entropy. A land change model was subsequently used to project land cover for 2027. A 70.35% expansion in urban areas was observed mainly towards the suburban periphery of Chennai between 1991 and 2016. The Renyi’s entropy value for year 2016 was 0.9, exhibiting a two-fold level of US when compared to 1991. The spatial metrics values indicate that the existing urban areas became denser and the suburban agricultural, forests and particularly barren lands were transformed into fragmented urban settlements. The forecasted land cover for 2027 indicates a conversion of 13,670.33 ha (16.57% of the total landscape) of existing forests and agricultural lands into urban areas with an associated increase in the entropy value to 1.7, indicating a tremendous level of US. Our study provides useful metrics for urban planning authorities to address the social-ecological consequences of US and to protect ecosystem services.
Article 0 Reads 7 Citations Comparison of spatial interpolation techniques to generate high-resolution climate surfaces for Nigeria Aisha Olushola Arowolo, Avit Kumar Bhowmik, Wei Qi, Xiangzhe... Published: 24 January 2017
International Journal of Climatology, doi: 10.1002/joc.4990
DOI See at publisher website
PREPRINT 0 Reads 0 Citations Urban Sprawl Detection Using Remotely Sensed Data: A Case of Chennai, Tamilnadu Rajchandar Padmanaban, Pedro Cabral, Avit K. Bhowmik, Alexan... Published: 05 January 2017
EARTH SCIENCES, doi: 10.20944/preprints201701.0023.v1
DOI See at publisher website ABS Show/hide abstract
Urban sprawl propelled by rapid population growth leads to the shrinkage of productive agricultural lands and pristine forests in the suburban areas and, in turn, substantially alters ecosystem services. Hence, the quantification of urban sprawl is crucial for effective urban planning, and environmental and ecosystem management. Like many megacities in fast growing developing countries, Chennai, the capital of Tamilnadu and one of the business hubs in India, has experienced extensive urban sprawl triggered by the doubling of total population over the past three decades. We employed the Random Forest (RF) classification on Landsat imageries from 1991, 2003, and 2016, and computed spatial metrics to quantify the extent of urban sprawl within a 10km suburban buffer of Chennai. The rate of urban sprawl was quantified using Renyi’s entropy, and the urban extent was predicted for 2027 using land-use and land-cover change modeling. A 70.35% increase in urban areas was observed for the suburban periphery of Chennai between 1991 and 2016. The Renyi’s entropy value for year 2016 was ≥ 0.9, exhibiting a two-fold rate of urban sprawl. The spatial metrics values indicate that the existing urban areas of Chennai became denser and the suburban agricultural, forests and barren lands were transformed into fragmented urban settlements. The forecasted urban growth for 2027 predicts a conversion of 13670.33ha (16.57 % of the total landscape) of existing forests and agricultural lands into urban areas with an associated increase in the entropy value of 1.7. Our findings are relevant for urban planning and environmental management in Chennai and provide quantitative measures for addressing the social-ecological consequences of urban sprawl and the protection of ecosystem services.
Article 0 Reads 7 Citations Pesticide mixtures in streams of several European countries and the USA Verena C. Schreiner, Eduard Szöcs, Avit Kumar Bhowmik, Marti... Published: 01 December 2016
Science of The Total Environment, doi: 10.1016/j.scitotenv.2016.08.163
DOI See at publisher website PubMed View at PubMed
Article 0 Reads 0 Citations Mercury contamination in deposited dust and its bioaccumulation patterns throughout Pakistan Syed Ali Musstjab Akber Shah Eqani, Avit Kumar Bhowmik, Sehr... Published: 01 November 2016
Science of The Total Environment, doi: 10.1016/j.scitotenv.2016.06.187
DOI See at publisher website PubMed View at PubMed
Top