Comparative role of charcoal, biochar, hydrochar and modified biochar on bioavailability of heavy metal(loid)s and machine learning regression analysis in alkaline polluted soil.

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Bibliographic Details
Title: Comparative role of charcoal, biochar, hydrochar and modified biochar on bioavailability of heavy metal(loid)s and machine learning regression analysis in alkaline polluted soil.
Authors: Lahori AH; Department of Environmental Sciences, Sindh Madressatul Islam University, Karachi 74000, Pakistan. Electronic address: ahlahori@yahoo.com., Ahmed SR; Department of English, Sindh Madressatul Islam University, Karachi 74000, Pakistan., Mierzwa-Hersztek M; Department of Agricultural and Environmental Chemistry, University of Agriculture in Krakow, al. Mickiewicza 21, 31-120 Krakow, Poland. Electronic address: monika6_mierzwa@wp.pl., Afzal M; Department of Environmental Sciences, Sindh Madressatul Islam University, Karachi 74000, Pakistan., Afzal A; National Institute of Maritime Affairs, Bahria University Karachi Campus, 75260, Pakistan., Bano S; Department of Geology, University of Karachi, Pakistan., Muhammad MT; Department of Chemistry, Jinnah University for women; 74600, Pakistan., Aqsa A; Department of Computer Science, Sindh Madressatul Islam University Karachi, Pakistan., Vambol V; Department of Environmental Engineering and Geodesy, University of Life Sciences in Lublin, Lublin, Poland; Department of Applied Ecology and Environmental Sciences, National University «Yuri Kondratyuk Poltava Polytechnic», Poltava, Ukraine., Vambol S; Department of 'Labour & Environment Protection', National Technical University 'Kharkiv Polytechnic Institute', Kharkiv, Ukraine.
Source: The Science of the total environment [Sci Total Environ] 2024 Jun 20; Vol. 930, pp. 172810. Date of Electronic Publication: 2024 Apr 26.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: MEDLINE
Database: MEDLINE Ultimate
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