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Harmonized nitrogen and phosphorus concentrations in the Mississippi/Atchafalaya River Basin from 1980 to 2018.
Krasovich, Emma; Lau, Peiley; Tseng, Jeanette; Longmate, Julia; Bell, Kendon; Hsiang, Solomon.
Afiliación
  • Krasovich E; Global Policy Laboratory, Goldman School of Public Policy, UC Berkeley, Berkeley, CA, USA. emma.krasovich@gmail.com.
  • Lau P; National Center for Environmental Economics, US Environmental Protection Agency, Washington, D.C., USA.
  • Tseng J; Global Policy Laboratory, Goldman School of Public Policy, UC Berkeley, Berkeley, CA, USA.
  • Longmate J; Energy & Resources Group, UC Berkeley, Berkeley, CA, USA.
  • Bell K; Global Policy Laboratory, Goldman School of Public Policy, UC Berkeley, Berkeley, CA, USA.
  • Hsiang S; Scarlatti, Auckland, New Zealand.
Sci Data ; 9(1): 524, 2022 08 27.
Article en En | MEDLINE | ID: mdl-36030259
ABSTRACT
Water quality monitoring can inform policies that address pollution; however, inconsistent measurement and reporting practices render many observations incomparable across bodies of water, thereby impeding efforts to characterize spatial patterns and long-term trends in pollution. Here, we harmonized 9.2 million publicly available monitor readings from 226 distinct water monitoring authorities spanning the entirety of the Mississippi/Atchafalaya River Basin (MARB) in the United States. We created the Standardized Nitrogen and Phosphorus Dataset (SNAPD), a novel dataset of 4.8 million standardized observations for nitrogen- and phosphorus-containing compounds from 107 thousand sites during 1980-2018. To the best of our knowledge, this dataset represents the largest record of these pollutants in a single river network where measurements can be compared across time and space. We addressed numerous well-documented issues associated with the reporting and interpretation of these water quality data, heretofore unaddressed at this scale, and our approach to water quality data processing can be applied to other nutrient compounds and regions.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos