Estimating the Ecological Performance of Water and Wastewater Treatment in Africa: A Meta-Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A95713" target="_blank" >RIV/60460709:41110/23:95713 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41340/23:95713

Výsledek na webu

<a href="https://doi.org/10.1002/ceat.202200562" target="_blank" >https://doi.org/10.1002/ceat.202200562</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/ceat.202200562" target="_blank" >10.1002/ceat.202200562</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimating the Ecological Performance of Water and Wastewater Treatment in Africa: A Meta-Analysis

Popis výsledku v původním jazyce

This article is the result of a systematic review of published life cycle assessment (LCA) studies on water and wastewater treatment in Africa. After applying the search and selection criteria, 32 observations for energy use were included and 20 for the global warming potential (GWP) and the eutrophication potential (EP). The dependent variables were categorized by technical, method, and typology factors. The meta-regression model aligned with the descriptive statistics on the variation of the dependent variables due to water source but not location. Regarding energy use, GWP, and EP, the water source and the study location had the most significant influence in contrast to the life cycle impact assessment method. There is a need for more such LCA studies in Central and Western parts of Africa.

Název v anglickém jazyce

Estimating the Ecological Performance of Water and Wastewater Treatment in Africa: A Meta-Analysis

Popis výsledku anglicky

This article is the result of a systematic review of published life cycle assessment (LCA) studies on water and wastewater treatment in Africa. After applying the search and selection criteria, 32 observations for energy use were included and 20 for the global warming potential (GWP) and the eutrophication potential (EP). The dependent variables were categorized by technical, method, and typology factors. The meta-regression model aligned with the descriptive statistics on the variation of the dependent variables due to water source but not location. Regarding energy use, GWP, and EP, the water source and the study location had the most significant influence in contrast to the life cycle impact assessment method. There is a need for more such LCA studies in Central and Western parts of Africa.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40401 - Agricultural biotechnology and food biotechnology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

CHEMICAL ENGINEERING & TECHNOLOGY

ISSN

0930-7516

e-ISSN

0930-7516

Svazek periodika

46

Číslo periodika v rámci svazku

JUN 2023

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

1078-1088

Kód UT WoS článku

000979942300001

EID výsledku v databázi Scopus

2-s2.0-85157972401