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Escherichia coli concentration, multiscale monitoring over the decade 2011–2021 in the Mekong River basin, Lao PDR
Earth System Science Data ( IF 11.4 ) Pub Date : 2022-06-24 , DOI: 10.5194/essd-14-2883-2022 Laurie Boithias, Olivier Ribolzi, Emma Rochelle-Newall, Chanthanousone Thammahacksa, Paty Nakhle, Bounsamay Soulileuth, Anne Pando-Bahuon, Keooudone Latsachack, Norbert Silvera, Phabvilay Sounyafong, Khampaseuth Xayyathip, Rosalie Zimmermann, Sayaphet Rattanavong, Priscia Oliva, Thomas Pommier, Olivier Evrard, Sylvain Huon, Jean Causse, Thierry Henry-des-Tureaux, Oloth Sengtaheuanghoung, Nivong Sipaseuth, Alain Pierret
Earth System Science Data ( IF 11.4 ) Pub Date : 2022-06-24 , DOI: 10.5194/essd-14-2883-2022 Laurie Boithias, Olivier Ribolzi, Emma Rochelle-Newall, Chanthanousone Thammahacksa, Paty Nakhle, Bounsamay Soulileuth, Anne Pando-Bahuon, Keooudone Latsachack, Norbert Silvera, Phabvilay Sounyafong, Khampaseuth Xayyathip, Rosalie Zimmermann, Sayaphet Rattanavong, Priscia Oliva, Thomas Pommier, Olivier Evrard, Sylvain Huon, Jean Causse, Thierry Henry-des-Tureaux, Oloth Sengtaheuanghoung, Nivong Sipaseuth, Alain Pierret
Bacterial pathogens in surface waters may threaten human
health, especially in developing countries, where untreated surface water is
often used for domestic needs. The objective of the long-term multiscale
monitoring of Escherichia coli ([E. coli]) concentration in stream water, and that of associated
variables (temperature (T), electrical conductance (EC), dissolved oxygen
concentration ([DO]) and saturation (DO%), pH (pH), oxidation-reduction potential (ORP), turbidity (Turb),
and total suspended sediment concentration ([TSS])), was to identify the drivers of
bacterial dissemination across tropical catchments. This data description
paper presents three datasets (see “Data availability” section) collected at
31 sampling stations located within the Mekong River and its tributaries in
Lao PDR (0.6–25 946 km2) from 2011 to 2021. The 1602
records have been used to describe the hydrological processes driving
in-stream E. coli concentration during flood events, to understand the land-use impact
on bacterial dissemination on small and large catchment scales, to relate
stream water quality and diarrhea outbreaks, and to build numerical models.
The database may be further used, e.g., to interpret new variables measured in
the monitored catchments, or to map the health risk posed by fecal
pathogens.
更新日期:2022-06-24