New insights on sand dust storm from historical records, UAE

Nazzal, Yousef; Bărbulescu, Alina; Howari, Fares M.; Yousef, Ahmad; Al-Taani, Ahmed A.; Aydaroos, Fatima Al; Naseem, Muhammad

doi:10.1007/s12517-019-4555-1

Cited by 19 publications

(26 citation statements)

References 31 publications

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“…Intensive agricultural production is commonly practiced in this region, where groundwater is the sole source of irrigation water. Salinization and contamination with chemicals were observed in groundwater [ 39 , 46 ]. The soils’ compositions revealed greater concentrations of Ca, Mg, Na and K ( Figure 4 ) that are attributed to overirrigation with salty groundwater, weathering of carbonates and evaporites rocks that are widespread in this region.…”

Section: Resultsmentioning

confidence: 99%

“…The Liwa region’s vulnerability assessment indicated that the aquifer beneath the extensive agriculture area is highly vulnerable to pollution [ 39 ]. It indicates that heavy metals in soils may leach with agricultural runoff to end up in the groundwater.…”

Section: Resultsmentioning

confidence: 99%

“…In arid regions, soil contamination with heavy metals may have different sources and pathways. Arid climates with frequent dust storms can cause heavy metals dissipation at long distances [ 2 , 39 ]. Elevated levels of metals were found in remote areas in arid regions and have been linked to atmospheric dust containing metals [ 3 ], among others.…”

Section: Introductionmentioning

confidence: 99%

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Contamination Assessment of Heavy Metals in Agricultural Soil, in the Liwa Area (UAE)

Al-Taani

Nazzal

Howari

et al. 2021

Toxics

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The Liwa area is a primary food production area in the United Arab Emirates (UAE) and has intensively been used for agriculture. This study investigates the pollution levels with heavy metals in agricultural soils from the Liwa area. Thirty-two soil samples were analyzed for Mn, Zn, Cr, Ni, Cu, Pb, Cd, Co, and As. Results revealed that heavy metal levels varied in the ranges 220.02–311.21, 42.39–66.92, 43.43–71.55, 32.86–52.12, 10.29–21.70, 2.83–8.84, 0.46–0.69, 0.03–0.37 mg/kg for Mn, Zn, Cr, Ni, Cu, Pb, Cd, Co, and As, respectively. All samples presented low As concentrations with an average of 0.01 mg/kg. The variations in bulk metal contents in the soil samples were related to multiple sources, including agrochemicals, atmospheric dust containing heavy metals, and traffic-related metals. Enrichment factor analysis indicates that Cd, Ni, Zn, and Cr were highly enriched in soils, and they could originate from non-crustal sources. Based on the geo-accumulation index (Igeo), the soil samples appeared uncontaminated with Mn, Cr, Zn, Pb, Co, As, Cu, uncontaminated to moderately contaminated with Ni and moderately contaminated with Cd. The contamination factors suggest low contamination, except for Ni, which showed moderate contamination. The average pollution load index (PLI) revealed unpolluted to low pollution of all soil samples. The ecological risk assessment (PERI) showed that all heavy metals posed a low risk, except for Cd which exhibited a high ecological risk.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Contamination Assessment of Heavy Metals in Agricultural Soil, in the Liwa Area (UAE)

Al-Taani

Nazzal

Howari

et al. 2021

Toxics

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“…Mg concentrations in the study samples are 7.26 to 39.29 times higher than the worldwide average (500 mg/kg). Studies show that the major source of base Mg cations in the air is dust from soil erosion, emissions from urban and industrial sources, and fuel combustion [ 96 , 97 , 98 ]. In the study region, the origin is mainly the lithology.…”

Section: Resultsmentioning

confidence: 99%

Assessment of Metals Concentrations in Soils of Abu Dhabi Emirate Using Pollution Indices and Multivariate Statistics

Nazzal

Bărbulescu

Howari

et al. 2021

Toxics

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The aim of this study was twofold. Firstly, we performed a land capability class determination of the agricultural soils from the Abu Dhabi Emirate, the United Arab Emirates, based on the concentrations of 17 chemical elements determined in the soil samples collected from 84 locations. Secondly, we assess the soil pollution with different metals, using several pollution indices. The results of Principal Component Analysis (PCA) shows that four principal components (PCs) are responsible for describing the total metals concentrations’ variance, the highest contribution on PC1 being that of Mn, and Cr, on PC2 that of Fe, on PC3 that of Cu, and on PC4 that of Al. After determining the optimal number of clusters, we classified the sites into three clusters, while the studied metals were grouped function on their concentrations. Then, we used five indices to assess the pollution level of the soil at the study sites and in the clusters. The geo—accumulation index (Igeo) indicates uncontamination/moderately contamination with Cu in cluster 1, uncontaminated/moderately contaminate soils with Cd, Cu, and Ni in cluster 2, and uncontaminated/moderately contaminated soil with Cu and moderately contaminated with Pb, Zn, and Ni in cluster 3. By comparison, the enrichment factors overestimate the pollution of the studied sites. The pollution load index (PLI) indicates a baseline level of pollution at 14 sites and the deterioration of the soil quality at four sites. The Nemerow pollution index provides similar results as PLI.

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“…In another near region, United Arab Emirates, Nazzal et al . (2019) found that the dust storms occurred at greater frequencies when the wind speed exceeded 15 k notes, with a visibility of less than 3,000 m.…”

Section: Introductionmentioning

confidence: 99%

Dust storm frequency change in relation to climate drivers

Modarres

2020

Intl Journal of Climatology

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Climate variability and change in arid regions are important factors in controlling emission, frequency and movement of dust storms. This study provides robust statistical methods including univariate Mann-Kendall block bootstrapping method and three bivariate trend assessment methods, Covariance Inversion Test, Covariance Sum Test and The Covariance Eigenvalue to detect trends in dust storm frequency across arid regions of Iran in relation to climate variability and trend in recent decades. In this regard, the annual number of dust storms from 25 stations in central arid and semi-arid regions of Iran were selected. In addition, five major climatic variables including annual rainfall, annual maximum and average wind speed, annual maximum and average temperature were also collected. The univariate trend test indicates both increasing and decreasing trend in dust storm frequency and climate variables. The bivariate trend test shows a strong and statistically significant relationship between trend of climate variables and dust storm frequency for most of the stations across the region. Among climate variables, rainfall change has an inverse impact on dust storm frequency while wind speed and temperature have direct covariance structure with dust storm frequency. The wind speed also seems to be the most effective climate driver on dust storm frequency in arid regions of Iran, followed by temperature. The results also shows that local conditions that are not considered in this study may also play a significant role in dust storm emission in some parts of the region.

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New insights on sand dust storm from historical records, UAE

Cited by 19 publications

References 31 publications

Contamination Assessment of Heavy Metals in Agricultural Soil, in the Liwa Area (UAE)

Contamination Assessment of Heavy Metals in Agricultural Soil, in the Liwa Area (UAE)

Assessment of Metals Concentrations in Soils of Abu Dhabi Emirate Using Pollution Indices and Multivariate Statistics

Dust storm frequency change in relation to climate drivers

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