Geochemical characteristics, partitioning, quantitative source apportionment, and ecological and health risk of heavy metals in sediments and water: A case study in Shadegan Wetland, Iran

Ashayeri, Shirin Yavar; Keshavarzi, Behnam

doi:10.1016/j.marpolbul.2019.110495

Cited by 78 publications

(29 citation statements)

References 74 publications

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“…For example, Zhong et al (2015) employed these two risk assessment models to determine the heavy metal contamination in groundwater for drinking purposes, Dadzie et al (2020) applied these indexes to determine the contami-nation status of water from lake and rivers, and Zhang et al (2017) used these indexes to evaluate the heavy metal con-tamination of marine reserve waters. Furthermore, many au-thors have used the P i and P n indexes to evaluate heavy metal contamination in sediment (Asare-Donkor et al 2018;Yavar Ashayeri and Keshavarzi 2019;Mirza et al 2019;Yan et al 2016). In the present study, we applied P i and P n to assess the contamination level of metals in water for shrimp as a brackish aquatic organism, and S i is the standard value for aquatic organisms.…”

Section: Occurrence Of Metals In the Water And Assessment Of Metal Water Qualitymentioning

confidence: 99%

Assessment of the ecological and human health risks from metals in shrimp aquaculture environments in Central Java, Indonesia

Hidayati

Prudent

Asia

et al. 2020

Environ Sci Pollut Res

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The occurrence and contamination level of seven important toxic metals (Cd, Cu, Co, Cr, Hg, Pb, and Zn) and three additional metals (Al, Fe, and Mn) in the water, sediment, and shrimp muscle in aquaculture areas located in Central Java, Indonesia, were investigated. The results suggest that the majority of metals have higher concentrations in the inlet followed by the outlet and ponds. Cd dissolved in the waters exhibited the highest level in Pekalongan (3.15 ± 0.33 μg L −1). Although Pb was not detected in the water, it was detected in the sediment, and the concentration ranged from 7.6 to 15.40 mg kg −1 dw. In general, the heavy metal concentrations in the sediments were found to decrease in the sequence Al > Fe > Mn > Zn > Cr > Cu > Co > Pb.Concentrations below the effects range low level based on the Canadian sediment quality guidelines were found for Cr, Cu, Pb, and Zn, whereas moderate sediment pollution (25-75 mg kg −1 dw) was observed for Cr (all regions), Cu (except in the Pekalongan region), and Zn (Brebes and Tegal regions) according to the US EPA standard. The status of the waters was evaluated by calculating a pollution index derived mostly from Mn and Zn. The ecological risk (geoaccumulation index (I geo ), contamination factor (CF), pollution load index (PLI), and potential ecological risk index (ERI)) determined in the sediments indicated that all studied areas had low to moderate contamination. The concentrations of all metals in shrimp were generally below the maximum limits for seafood, except for Zn (in all stations), Pb, and Cr (Tegal and Pekalongan). The hazard index values for metals indicated that consuming shrimp would not have adverse effects on human health.

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Section: Occurrence Of Metals In the Water And Assessment Of Metal Water Qualitymentioning

confidence: 99%

Assessment of the ecological and human health risks from metals in shrimp aquaculture environments in Central Java, Indonesia

Hidayati

Prudent

Asia

et al. 2020

Environ Sci Pollut Res

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“…1b), and the wetland is mainly fed by the Jarrahi River (Ghorbani et al 2016). Disruption of wetland hydrological systems is a result of the construction of the Maroon Reservoir Dam on the Jarrahi river, the development of irrigation networks in the upstream of the catchment, and the addition of agricultural wastewaters into the wetland in recent years (Ashayeri and Keshavarzi 2019;Sima and Tajrishy 2006). The prevailing wind direction in the northern and southern regions of the study area is mainly from the west and northwest, respectively (Fig.…”

Section: Study Areamentioning

confidence: 99%

“…The most important wetlands in Iran are Hamoun-e-pouzak, Hamoun-e-Sabori, Hamoun-e-Hirmand, Jazmourian, Gavkhooni, and Hour-al-Azim wetland (Rashki et al 2017;Salmabai and Saeedi 2018;Vali et al 2016). The Shadegan wetland is also a destroyed wetland in the southwest of Iran that has been conducted numerous works on its various aspects such as the ecological risk assessment of heavy metals in its sediments and water (Ashayeri and Keshavarzi 2019), its economic valuation (Shamsudin et al 2011), identify the atrazine sources (Almasi et al 2020), the impact of dust on its vegetation variations (Bayat et al 2016), and the prediction of the in uencing factors on conservation behavior of rural operators (Ghanian et al 2015). However, no attempt has been made to predict the monthly dust events frequency (MDEF) and to identify its controlling factors around the Shadegan wetland.…”

Section: Introductionmentioning

confidence: 99%

Predicting the dust events frequency around a degraded ecosystem and determining the contribution of their controlling factors using gradient boosting-based approaches and game theory

Ebrahimi-Khusfi

Dargahian

Nafarzadegan

2022

Environ Sci Pollut Res

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In this study, for the rst time, an attempt was made to evaluate the performance of Gradient Boosting Machine (GBM) and extreme gradient boosting (XGB) models with linear, tree, and Dart boosters to predict monthly DEF (MDEF) around a degraded wetland in southwestern Iran. The monthly required data were obtained through observational data recorded at ground stations and satellite imagery from 1988 to 2018. The best predictor variables were selected among the eighteen climatic, terrestrial, and hydrological variables based on the multi-collinearity test (MCT) and Boruta algorithm. The models' performance was evaluated using the Taylor diagram. Game theory (i.e., SHAP values: SHV) was then used to determine the contribution of factors controlling MDEF in different seasons. Mean wind speed, maximum wind speed, rainfall, standardized precipitation evapotranspiration index (SPEI), soil moisture, erosive winds frequency, vapor pressure, vegetation area, water body area, and dried bed area of the wetland were con rmed as the best predictive variables. The XGB-linear and XGB-tree showed a higher capability in predicting the MDEF variations in summer and spring seasons. However, the XGB-Dart yielded a better than other study models in forecasting the MDEF in the autumn and winter seasons. The results also showed that the rainfall (SHV = 1.6), surface water discharge (SHV = 2.4), mean wind speed (SHV = 10.1), and erosive winds frequency (SHV = 1.6) had the largest contribution in the variability of MDEF in winter, spring, summer, and autumn, respectively. The results can be useful to provide different scenarios for combating hazards caused by wind erosion events around degraded wetlands.

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“…Ashayeri and Keshavarzi (2019) investigated heavy metal concentrations of Shadegan Wetland in Iran. This study analyzed water and sediments samples to assess the risk, fate, and partitioning of heavy metals.…”

Section: Generalmentioning

confidence: 99%

Ecological and human health risk assessment

Choudri

Al‐Nasiri

Charabi

et al. 2020

Water Environment Research

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The literature review presented in this paper includes the ecological and human health risk assessment in the form of receptors in the environment. The main objective of this review to highlight a summary of the many studies undertaken in the year 2019. The first part of the review covers the papers published on the health risk assessment related to human and ecological health. This article focuses on methods and tools utilized for the analysis of scientific studies and the data. The review provides main issues such as interpretation of data, uncertainty, and policies related to the management of risks. The ecological and human health risk assessment is divided into two main sections. Each of these sections presents in broad the risk assessment process namely pollution studies, remediation, and tools required for the management of natural resources and the environment.

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Geochemical characteristics, partitioning, quantitative source apportionment, and ecological and health risk of heavy metals in sediments and water: A case study in Shadegan Wetland, Iran

Cited by 78 publications

References 74 publications

Assessment of the ecological and human health risks from metals in shrimp aquaculture environments in Central Java, Indonesia

Assessment of the ecological and human health risks from metals in shrimp aquaculture environments in Central Java, Indonesia

Predicting the dust events frequency around a degraded ecosystem and determining the contribution of their controlling factors using gradient boosting-based approaches and game theory

Ecological and human health risk assessment

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