Ecological risk indicators for leached heavy metals from coal ash generated at a malaysian power plant

The application of coal ash (CA) in construction industries has grown rapidly, posing risk to the environment due to heavy metals leaching from the material. This research presents a simulation of ecological risk assessment and model risk indicators (ERI) of leached heavy metals (lead (Pb), copper (...

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Published in:Sustainability (Switzerland)
Main Author: Abd Manan T.S.B.; Beddu S.; Mohd Kamal N.L.; Mohamad D.; Itam Z.; Khan T.; Machmudah A.; Dutykh D.; Mohtar W.H.M.W.; Jusoh H.; Nazri F.M.; Yapandi M.F.K.M.; Pati S.; Ahmad A.; Rasdi N.W.
Format: Article
Language:English
Published: MDPI 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114858763&doi=10.3390%2fsu131810222&partnerID=40&md5=6f16e97d1dc3d461dddd8e1ae8618ad1
id 2-s2.0-85114858763
spelling 2-s2.0-85114858763
Abd Manan T.S.B.; Beddu S.; Mohd Kamal N.L.; Mohamad D.; Itam Z.; Khan T.; Machmudah A.; Dutykh D.; Mohtar W.H.M.W.; Jusoh H.; Nazri F.M.; Yapandi M.F.K.M.; Pati S.; Ahmad A.; Rasdi N.W.
Ecological risk indicators for leached heavy metals from coal ash generated at a malaysian power plant
2021
Sustainability (Switzerland)
13
18
10.3390/su131810222
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114858763&doi=10.3390%2fsu131810222&partnerID=40&md5=6f16e97d1dc3d461dddd8e1ae8618ad1
The application of coal ash (CA) in construction industries has grown rapidly, posing risk to the environment due to heavy metals leaching from the material. This research presents a simulation of ecological risk assessment and model risk indicators (ERI) of leached heavy metals (lead (Pb), copper (Cu), zinc (Zn) and arsenic (As)) from CA (FA: fly ash and BA: bottom ash) via response surface methodology (RSM). The ERI values were based on quantified leached heavy metals from the toxicity characteristic leaching procedure (TCLP-1311) and synthetic precipitation leaching procedure (SPLP-1312). The ecological risk index (RI ) values for TCLP were 10.27 × 100 (FA), 9.91 × 100 (BA) and 12.58 × 100 (FA + BA); whereas RI for SPLP were 10.34 × 100 (FA), 9.90 × 100 (BA) and 12.61 × 100 (FA + BA). Twenty-nine combinations of operations were evaluated based on Box-Behnken design with ERI as the response variable. The established model risk indicator (i.e., coded and actual factors) of Pb, Cu, Zn and ‘As’ showed significant model terms that describe their relationship very well, perfectly fit to the corresponding ERI (sum of squares = 0.4160, F value = 682,375.55) with probability of 0.01% for an F-value could occur due to noise. The optimized models were validated with error percentage of less than 5%. The established ERI models showed significant model terms and will be useful for ecological monitoring of CA application in construction industries. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
MDPI
20711050
English
Article
All Open Access; Gold Open Access
author Abd Manan T.S.B.; Beddu S.; Mohd Kamal N.L.; Mohamad D.; Itam Z.; Khan T.; Machmudah A.; Dutykh D.; Mohtar W.H.M.W.; Jusoh H.; Nazri F.M.; Yapandi M.F.K.M.; Pati S.; Ahmad A.; Rasdi N.W.
spellingShingle Abd Manan T.S.B.; Beddu S.; Mohd Kamal N.L.; Mohamad D.; Itam Z.; Khan T.; Machmudah A.; Dutykh D.; Mohtar W.H.M.W.; Jusoh H.; Nazri F.M.; Yapandi M.F.K.M.; Pati S.; Ahmad A.; Rasdi N.W.
Ecological risk indicators for leached heavy metals from coal ash generated at a malaysian power plant
author_facet Abd Manan T.S.B.; Beddu S.; Mohd Kamal N.L.; Mohamad D.; Itam Z.; Khan T.; Machmudah A.; Dutykh D.; Mohtar W.H.M.W.; Jusoh H.; Nazri F.M.; Yapandi M.F.K.M.; Pati S.; Ahmad A.; Rasdi N.W.
author_sort Abd Manan T.S.B.; Beddu S.; Mohd Kamal N.L.; Mohamad D.; Itam Z.; Khan T.; Machmudah A.; Dutykh D.; Mohtar W.H.M.W.; Jusoh H.; Nazri F.M.; Yapandi M.F.K.M.; Pati S.; Ahmad A.; Rasdi N.W.
title Ecological risk indicators for leached heavy metals from coal ash generated at a malaysian power plant
title_short Ecological risk indicators for leached heavy metals from coal ash generated at a malaysian power plant
title_full Ecological risk indicators for leached heavy metals from coal ash generated at a malaysian power plant
title_fullStr Ecological risk indicators for leached heavy metals from coal ash generated at a malaysian power plant
title_full_unstemmed Ecological risk indicators for leached heavy metals from coal ash generated at a malaysian power plant
title_sort Ecological risk indicators for leached heavy metals from coal ash generated at a malaysian power plant
publishDate 2021
container_title Sustainability (Switzerland)
container_volume 13
container_issue 18
doi_str_mv 10.3390/su131810222
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114858763&doi=10.3390%2fsu131810222&partnerID=40&md5=6f16e97d1dc3d461dddd8e1ae8618ad1
description The application of coal ash (CA) in construction industries has grown rapidly, posing risk to the environment due to heavy metals leaching from the material. This research presents a simulation of ecological risk assessment and model risk indicators (ERI) of leached heavy metals (lead (Pb), copper (Cu), zinc (Zn) and arsenic (As)) from CA (FA: fly ash and BA: bottom ash) via response surface methodology (RSM). The ERI values were based on quantified leached heavy metals from the toxicity characteristic leaching procedure (TCLP-1311) and synthetic precipitation leaching procedure (SPLP-1312). The ecological risk index (RI ) values for TCLP were 10.27 × 100 (FA), 9.91 × 100 (BA) and 12.58 × 100 (FA + BA); whereas RI for SPLP were 10.34 × 100 (FA), 9.90 × 100 (BA) and 12.61 × 100 (FA + BA). Twenty-nine combinations of operations were evaluated based on Box-Behnken design with ERI as the response variable. The established model risk indicator (i.e., coded and actual factors) of Pb, Cu, Zn and ‘As’ showed significant model terms that describe their relationship very well, perfectly fit to the corresponding ERI (sum of squares = 0.4160, F value = 682,375.55) with probability of 0.01% for an F-value could occur due to noise. The optimized models were validated with error percentage of less than 5%. The established ERI models showed significant model terms and will be useful for ecological monitoring of CA application in construction industries. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
publisher MDPI
issn 20711050
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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