Well‐Switching to Reduce Arsenic Exposure in Bangladesh: Making the Most of Inaccurate Field Kit Measurements
Name
GeoHealth - 2021 - Jameel - Well‐Switching to Reduce Arsenic Exposure in Bangladesh Making the Most of Inaccurate Field.pdf
Size
3.02 MB
Format
Adobe PDF
Checksum (MD5)
2b16e48360b6ca8d36b1d7fcfbaac97e
Author(s) • • •
Jameel, Yusuf
Mozumder, M. Rajib Hassan
Geen, Alexander
Harvey, Charles F.
Date Issued
December 2021
Publisher
American Geophysical Union (AGU)
Citation
Jameel, Y., Mozumder, M. R. H., van Geen, A., & Harvey, C. F. (2021). Well-switching to reduce arsenic exposure in Bangladesh: Making the most of inaccurate field kit measurements. GeoHealth, 5, e2021GH000464.
Version
Final published version
Abstract
Well-switching programs in Bangladesh have successfully lowered arsenic exposure. In these programs, households switch from wells that are labeled “unsafe” to nearby wells labeled “safe,” but these designations are usually based on inherently inaccurate field kit measurements. Here, we (a) compare the efficacy of field-kit measurements to accurate laboratory measurements for well switching, (b) investigate the potential impact on well switching of the chosen “safe” threshold, and (c) consider the possible benefits of providing more detailed concentration information than just “safe” and “unsafe.” We explore different hypothetical mitigation scenarios by combining two extensive data sets from Araihazar Bangladesh: a blanket survey of 6595 wells over 25 km2 based on laboratory measurements and 943 paired kit and laboratory measurements from the same area. The results indicate that the decline in average arsenic exposure from relying on kit rather than laboratory data is modest in relation to the logistical and financial challenge of delivering exclusively laboratory data. The analysis further indicates that the 50 μg/L threshold used in Bangladesh to distinguish safe and unsafe wells, rather than the WHO guideline of 10 μg/L, is close to optimal in terms of average exposure reduction. We also show that providing kit data at the maximum possible resolution rather than merely classifying wells as unsafe or safe would be even better. These findings are relevant as the government of Bangladesh is about to launch a new blanket testing campaign of millions of wells using field kits.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1029/2021gh000464