@article{RabbiShantKarmakaretal.2021,
  author    = {Rabbi, Sifat E. and Shant, Reza and Karmakar, Sourav and Habib, Azhar and Kropp, J{\"u}rgen},
  title     = {Regional mapping of climate variability index and identifying},
  series = {Environment, development and sustainability : a multidisciplinary approach to the theory and practice of sustainable development},
  volume    = {23},
  journal   = {Environment, development and sustainability : a multidisciplinary approach to the theory and practice of sustainable development},
  number    = {7},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {1387-585X},
  doi       = {10.1007/s10668-020-01104-2},
  pages     = {11050 -- 11066},
  year      = {2021},
  abstract  = {Studies conducted in Bangladesh so far did not unequivocally identify the modus operandi of local farmers to perceive and experience the climate variability at a national scale. Hence, this study aims to decipher local farmer's perception on climate variability for the last 10 years, by constructing climate variability index (CVI). Additionally, this study demystified the socio-economic determinants for influencing farmer perception regarding climate variability as well as its impact on their livelihoods. The study was designed on a cross-sectional data through a country-wide primary survey of 16,053 households who were largely dependent on agriculture. A weighted index was constructed for mapping the regional climate variability using model-builder programming in ArcGIS. Also, a multivariable probit model was employed to identify the factors influencing farmers' perception and resulting impact of climate variability on their livelihoods. According to local farmer's perception, the CVI mapping identified that Bangladesh experienced variegated climatic variability since last 10 years. However, local farmer's perception varied with different socio-economic factors like gender, education, farmer's category, credit, monthly income and access to media. Moreover, landless, small and medium farm holders were more aware of the local climate variability and eventually, they also experienced the higher influence of climate variability on their livelihoods. Since an effective mapping of regional climate variability is a sine qua non to devise region specific policies, this study will facilitate the government to determine its priorities, formulate efficacious strategies and thereby help to adapt with future climate-induced risks and vulnerabilities.},
  language  = {en}
}
@misc{SenBoginMondaletal.2021,
  author    = {Sen, Jaydip and Bogin, Barry and Mondal, Nitish and Dey, Sima and Roy, Shreysai},
  title     = {Groundwater arsenic contamination in the Bengal Delta Plain is an important public health issue},
  series = {Human Biology and Public Health},
  volume    = {2021},
  journal   = {Human Biology and Public Health},
  number    = {1},
  editor    = {Scheffler, Christiane and Koziel, Slawomir and Hermanussen, Michael and Bogin, Barry},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {2748-9957},
  doi       = {10.52905/hbph.v1.7},
  pages     = {1 -- 31},
  year      = {2021},
  abstract  = {There is a close association between human biology, epidemiology and public health. Exposure to toxic elements is one area of such associations and global concerns. The Bengal Delta Plain (BDP) is a region where contamination of ground water by arsenic has assumed epidemic proportions. Apart from dermatological manifestations, chronic exposure to arsenic causes a heavy toll through several carcinogenic and non-carcinogenic disorders. This article provides a global overview of groundwater arsenic contamination in the BDP region, especially the sources, speciation, and mobility of arsenic, and critically reviews the effects of arsenic on human health. The present review also provides a summary of comprehensive knowledge on various measures required for mitigation and social consequences of the problem of arsenic contaminated groundwater in the BDP region.},
  language  = {en}
}