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Evaluation of Soil Pollution Levels in Al-Qadisiyah Governorate, Iraq Using Contamination Index and GIS

Al-Khuzaie Marwah M., Abdul Maulud Khairul Nizam

Journal of Ecological Engineering

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2022

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Vol. 23, nr 3

206--213

EN

The precise determination of trace element concentrations in the soil of the Al-Qadisiyah Governorate is part of the Iraqi sedimentary plain is required to eliminate high levels of harmful elements in polluted soils. The soil samples were collected from 28 representative profiles in Al-Shamiyah city. The soil profiles were defined using virtual characterization. In this study, I-geo was used to analyze soil pollution. The goals and destinations of the I-geo readings Contamination of Cd, Ni, Pb, and Zn in various soil strata. I-geo (Cd) generally range from 0.58 to 4.71, I-geo (Ni) range from 0.09 to 4.07, I-geo (Pb) ranged range from 0.07 to 2.79, and I-geo (Zn) ranges from zero to 2.79, depicting the local differences in I-geo for pollutants in the research area. Suggesting that the research area had been heavily polluted from Cd in the varied layers of the soils. On the maps pertaining to Zn and Pb, the majority of the research area was primarily covered in the orange and blue hues, suggesting that a significant portion of the research area was likely to be severely polluted from Cd and Ni. Moreover, the land cover layouts of Ni in layers of the soils revealed concentrations rising towards to the western sections, which could be attributed to proximity to a major drain. The results display that its I-geo value of four trace metals generally range from non-pollute to significantly heavily polluted. The I-geo data show significant differences in levels of the Ni, Cd, Zn, and Pb in different soils strata. Including these findings, the soil in Al-Shamiya, Al-Qadisiyah Governorate contains high levels of Cd, Ni, Pb, and Zn. Industries of fossil fuel combustion, as well as other man-made wastes include agricultural nutrients, soil conditioners, and sludge, particularly, ammonium phosphate pollution in soils. The pollutant load index (PLI) reveals a baseline level of contamination in 28 locations, as well as a decline in soil quality in four others. Finally, assessing the danger of contamination for trace metals utilizing the I-geo and PLI by using the GIS method and multimodal models is a helpful and relevant strategy.

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Heavy Metal Contamination in Sediments and Its Potential Ecological Risks in Youtefa Bay, Papua Province, Indonesia

Hamuna Baigo, Wanimbo Efray

Journal of Ecological Engineering

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2021

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Vol. 22, nr 8

209--221

EN

This study aimed to analyze the heavy metal contamination in sediments and their potential ecological risks. The sediment samples were collected using PVC pipes and grab samplers at nine study sites in Youtefa Bay, namely five sites in the mangrove ecosystem, two sites in the estuary, and two sites in the middle of the bay. The heavy metal content was analyzed using Atomic Absorption Spectrophotometry. The results of the analysis of the heavy metal content in the sediment were in the following order: Zn > Cu > Pb > Ni > Cr > Cd > As > Hg (106.077±98.857, 28.553±30.505, 19.798±11.541, 17.665±11.457, 12.103±0.124, 2.996±1.235, 0.149±0.124, and 0.082±0.047 mg kg-1, respectively). Only the Cd content has exceeded the Threshold Effect Level (TEL) at all study sites. On the other hand, the As and Cr content has not exceeded TEL at any study site. The content of Hg, Cr, Pb, Zn, and Ni has exceeded TEL only at a few study sites. The heavy metal content in estuary sites is higher than in mid-bay and mangrove sites, which can provide the information on the sources of heavy metal contaminants. There is a significant correlation for the content of Cu, As, Pb, Cd, Zn, and Ni which can indicate that the sources of these heavy metals are relatively the same (r = 0.569 to r = 0.950). The CF and Igeo values indicate that there has been contamination of several heavy metals studied. Further analysis ( ERI ) showed that the heavy metal content in the sediments poses a potentially serious ecological risk. Most of the potential ecological risks are the contribution of Cd and Hg which have high toxicity factors and this should receive special attention from local governments and stakeholders to prevent higher contamination.

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Assessing Heavy Metal Contamination in Marine Sediments Around the Coastal Waters of Mimika Regency, Indonesia

Tanjung Rosye Hefmi Rechnelty, Hamuna Baigo, Yonas Marcelino Novryanto

Journal of Ecological Engineering

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2019

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Vol. 20, nr 11

35--42

EN

The heavy metal contamination has become a serious problem in the aquatic environment, including marine sediments. This study was aimed at analyzing the content of heavy metals in marine sediments, then assessing and evaluating the level of heavy metal contamination and its ecological risks. The sediment samples were taken using a grab sampler at six sites in the coastal waters of Mimika Regency, Indonesia. The TCLP testing method was used to determine the content of heavy metals in marine sediments. The results showed that the concentrations of Pb, Cu, Cd, and Hg in marine sediments ranged from <0.25 to 0.59 ppm, <0.02 to 0.54 ppm, <0.005 to 0.03 ppm, and < 0.0007 ppm. Only the concentrations of Cu on the Meoga and Puriri sites exceeded the quality standard in the Government Regulation of the Republic of Indonesia No. 18 year 1999. The results of the assessment of heavy metal contamination and its ecological risk potential indicate that the coastal waters of Mimika Regency are included in the category of low contamination and low ecological risks. The concentration of heavy metals in this study shows that the coastal waters of Mimika Regency are not contaminated by Pb, Cu, Cd, and Hg heavy metals.

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Assessment of Selected Heavy Metals Content in Soil of Agricultural Activity

Świdwa-Urbańska Joanna, Zalewski Marcin

Geomatics and Environmental Engineering

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2019

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Vol. 13, no. 3

103--113

PL

W pracy przedstawiono badania gleb reprezentatywnego obszaru użytkowanego rolniczo w celu oceny poziomu toksycznych metali ciężkich, które mogłyby przedostać się do upraw. Może to stanowić pierwszy krok do określenia możliwości dalszego wykorzystania gleb, zwłaszcza na obszarach, na których widoczny jest silny postęp industrializacyjny. W celu scharakteryzowania stanu gleby na dwóch głębokościach analizowano strukturę gleby, pH, gęstość objętościową oraz całkowitą zawartość ołowiu (Pb), kadmu (Cd) i niklu (Ni): TOP (próbka 0–30 cm) i BOTTOM (próbka 30–60 cm). Schemat pobierania próbek był oparty na kwadratowej siatce z 16 punktami rozmieszczonymi regularnie. Wartości stężenia metali ciężkich były poniżej prawnych limitów, ale wyższe niż regionalny poziom tła geochemicznego, co sugeruje ich pochodzenie antropogeniczne. Indeks PLI został wdrożony jako narzędzie do obliczania ogólnego stanu zanieczyszczenia metalami ciężkimi. Analiza geostatystyczna danych pokazuje zmienność przestrzenną w szczegółowej skali, zarówno w wymiarze poziomym, jak i pionowym, przy czym poziom TOP gleby wykazuje wyższe średnie stężenia Pb i Cd.

EN

A representative sample of agricultural soil was studied for assessing the level of toxic heavy metals that could be passed on to crops; this can be the first step towards determining the possibility of its further use, especially in areas where strong industrialization progress is visible. The soil texture, pH, and bulk density along with the total amount of lead (Pb), cadmium (Cd), and nickel (Ni) were analyzed for characterizing the status of the soil at two depths: TOP (a composite sample from 0–30 cm deep) and BOTTOM (a composite sample from 30–60 cm deep). The sampling scheme was a square grid with 16 regularly spaced points. The heavy metals concentration values were below legal limits but higher than the regional geochemical background level, suggesting an anthropogenic origin. The pollution load index (PLI) was implemented as a tool for computing the generalized heavy metal pollution status. A geostatistical analysis of the data shows a spatial variation on a detailed scale, both in the horizontal and vertical dimensions, with the TOP soil showing higher average Pb and Cd concentrations.

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Human Health Risk Assessment of Heavy Metals Bound on Particulate Matter

Zmijkova D., Koliba M., Raclavsky K.

Inżynieria Mineralna

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2018

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R. 19, nr 1

93--98

EN

The samples of particulate matter (PM10) were collected at five sampling sites of various character situated in the Moravian-Silesian Region (Czech Republic). Concentrations of heavy metals bound to particulate matter were determined by the method of ICP – optical emission spectroscopy. The contamination of heavy metals was expressed as the pollution load index – PLI. Human health risk assessment was performed by U.S. EPA method – using the hazard quotient – HQ, hazard index – HI, and excess lifetime cancer risk – ELCR. The pollution and resulting carcinogenic risks increase during the winter season. The potential non-carcinogenic risks are not significant.

PL

Próbki pyłu zawieszonego (PM10) zebrano w pięciu miejscach o różnym charakterze w regionie Morawskośląskim (Republika Czeska). Stężenie metali ciężkich związanych z cząstkami stałymi oznaczano metodą ICP - optycznej spektroskopii emisyjnej. Zanieczyszczenie metalami ciężkimi zostało wyrażone jako wskaźnik obciążenia zanieczyszczeniem - PLI. Ocenę ryzyka dla zdrowia ludzkiego przeprowadzono metodą US EPA - z wykorzystaniem ilorazu zagrożenia - HQ, wskaźnika zagrożenia - HI i zwiększenia ryzyka wystąpienia raka w całym okresie życia - ELCR. Zanieczyszczenie i związane z tym ryzyko rako-twórczości zwiększa się w sezonie zimowym. Potencjalne zagrożenie nierakotwórcze nie jest znaczące.

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Dane wejściowe do projektowania miejskich oczyszczalni ścieków. Projektowe i rzeczywiste

Wójcicka K., Heidrich Z.

Forum Eksploatatora

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2018

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Nr 5 (98)

26-32

PL

Powszechnie wiadomo, że podstawą do projektowania oczyszczalni ścieków są charakterystyczne ilości ścieków i charakterystyczne stężenia zanieczyszczeń, jak też wynikające z iloczynu podanych wielkości, ładunki zanieczyszczeń. Określając ładunki zanieczyszczeń, które są przede wszystkim podstawą do wymiarowania reaktorów biologicznych i urządzeń towarzyszących, można je wy znaczyć jako iloczyn ilości ścieków i stężeń zanieczyszczeń, bądź też jako iloczyn jednostkowych ładunków zanieczyszczeń i liczby mieszkańców obsługiwanych przez oczyszczalnię.