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For: Ghosh D, Donselaar ME. Predictive geospatial model for arsenic accumulation in Holocene aquifers based on interactions of oxbow-lake biogeochemistry and alluvial geomorphology. Sci Total Environ 2023;856:158952. [PMID: 36150597 DOI: 10.1016/j.scitotenv.2022.158952] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/15/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Number Cited by Other Article(s)
1
Bosi E, Colombera L, Mountney NP, Bertoni D, Sarti G, Amorosi A. Sedimentary controls on arsenic distribution in meander-belt deposits of the Po Valley, Italy. THE SCIENCE OF THE TOTAL ENVIRONMENT 2025;965:178627. [PMID: 39899973 DOI: 10.1016/j.scitotenv.2025.178627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Revised: 01/21/2025] [Accepted: 01/21/2025] [Indexed: 02/05/2025]
2
Jiang G, Su C, Liu H, Wang X, Jiang J, Li J. Mobilization and enrichment of geogenic iodine in a floodplain groundwater system: New insights from sources and characterization of dissolved organic matter. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024;956:177299. [PMID: 39488284 DOI: 10.1016/j.scitotenv.2024.177299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 10/14/2024] [Accepted: 10/28/2024] [Indexed: 11/04/2024]
3
Donselaar ME, Khanam S, Ghosh AK, Corroto C, Ghosh D. Machine-Learning Approach for Identifying Arsenic-Contamination Hot Spots: The Search for the Needle in the Haystack. ACS ES&T WATER 2024;4:3110-3114. [PMID: 39144680 PMCID: PMC11320562 DOI: 10.1021/acsestwater.4c00422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 06/22/2024] [Accepted: 07/03/2024] [Indexed: 08/16/2024]
4
Amorosi A, Sammartino I. Predicting natural arsenic enrichment in peat-bearing, alluvial and coastal depositional systems: A generalized model based on sequence stratigraphy. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024;924:171571. [PMID: 38492587 DOI: 10.1016/j.scitotenv.2024.171571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 02/23/2024] [Accepted: 03/06/2024] [Indexed: 03/18/2024]
5
Wang ZW, Yang G, Chen J, Zhou Y, Núñez Delgado A, Cui HL, Duan GL, Rosen BP, Zhu YG. Fundamentals and application in phytoremediation of an efficient arsenate reducing bacterium Pseudomonas putida ARS1. J Environ Sci (China) 2024;137:237-244. [PMID: 37980011 DOI: 10.1016/j.jes.2023.02.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/13/2023] [Accepted: 02/13/2023] [Indexed: 11/20/2023]
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