Abundant Environmental Arsenic Contamination: Some Statistical Perspectives

Pranab K. Sen ()
Additional contact information
Pranab K. Sen: University of North Carolina

Sankhya B: The Indian Journal of Statistics, 2016, vol. 78, issue 2, No 6, 361 pages

Abstract: Abstract There is a severe impact of the current abundant environmental contamination and toxic pollution on ecology as well as our life sustaining resources: drinkable and safely usable water, respirable air, untainted and edible food, and renewable and affordable energy. Population explosion (particularly, in East and South Asia, including India and China), escalating industrialization, immeasurable volume of industrial, human and e-wastes, inadequate sanitary safeguards, our modern life-style, and geo-political undercurrents are threatening a safe propagation of human health and life on earth. Of special interest is the sub-soil and surface water arsenic contamination’s deleterious impact on human health and quality of life. Socio-economic, familial and environmental undercurrents are persistent in this respect. A statistical appraisal along with a quantifying contamination severity index constitute the primary objective of this study.

Keywords: Absorption toxicology; Affluence index; Arsenic removal plant (ARP); Arsenites; Bio-hazards; Contamination severity index (CSI); Ecology; Epidermal cancer; Gastwirth coefficient; Gini coefficient; Harmonic mean; Ingestion toxicology; Lesion; PBPK modeling; Primary 62G35, 62G99; Secondary 62P99 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13571-016-0128-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sankhb:v:78:y:2016:i:2:d:10.1007_s13571-016-0128-4

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/13571

DOI: 10.1007/s13571-016-0128-4

Access Statistics for this article

Sankhya B: The Indian Journal of Statistics is currently edited by Dipak Dey

More articles in Sankhya B: The Indian Journal of Statistics from Springer, Indian Statistical Institute
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().