Investigation of the Effects of Salt Dust Caused by Drying of Urmia Lake on the Sustainability of Urban Environments

Isazade, Vahid; Qasimi, Abdul Baser; Kaplan, Gordana

doi:10.26480/jcleanwas.02.2021.78.84

Cited by 5 publications

(5 citation statements)

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“…The number of dusty days has fallen sharply in the summer, with the least in August. Thus, dust mostly occurs in May (spring), as mentioned in [27], and October (autumn), contrary to what has been presented by Shahkooeei and Rahmani (2019) [24] as a minor dust occurrence. Significant dust was recorded in June in Mahabad, which is because Mahabad is close to neighboring dust sources in Iraq, as described in previous sections.…”

Section: Temporal Distribution Of Dust-related Meteorological Conditionscontrasting

confidence: 56%

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Temporal and Spatial Variability of Dust in the Urmia Basin, 1990–2019

Mobarak Hassan,

Fattahi,

Habibi

2023

Atmosphere

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The living conditions in the Urmia Basin (northwestern Iran) face significant challenges due to dust events. This study investigates the spatial and temporal characteristics of dust phenomena in the Urmia Basin using MERRA-2 data and observational data from Tabriz, Urmia, Sarab, and Mahabad over a 30-year period (1990–2019). The findings reveal that despite several fluctuations, the annual number of dusty days increased from the 1990s to the 2010s in the Urmia Basin. The maximum number of dusty days was found to predominantly occur in May (spring) and October (autumn), driven by two distinct mechanisms. In early autumn, developing synoptic systems associated with increased wind speeds can cause dust emission from dry land sources. Consequently, an increase in dust wet deposition, precipitation, dust surface concentration, and the number of dusty days occurs in October. In contrast, a sharp decrease in precipitation from April to May leads to drying soil and dust emission in May. Among the studied cities, Tabriz experienced the highest number of dusty days (728) due to the combined effects of cross-border and local dust sources. The highest dust column density and dust dry deposition in the south and east of Urmia Lake indicate the impact of declining water levels, which resulted in a dry lakebed as the primary local dust source. The MERRA-2 spatial distribution reveals that dust surface concentration, and the number of dusty days decrease similarly from the southwest to the northeast of the Urmia Basin as the distance from cross-border dust sources increases. A positive correlation is observed between the number of dusty days and MEERA-2 data, including dust surface concentration, dust dry deposition, column mass dust, and total aerosol extinction, with coefficients of 0.74, 0.71, 0.69, and 0.68, respectively.

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Section: Temporal Distribution Of Dust-related Meteorological Conditionscontrasting

confidence: 56%

“…Dust has influenced agriculture, the economy, and human life, including health and migration, in northwest Iran from 2019 to 2020 [27].…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Variability of Dust in the Urmia Basin, 1990–2019

Mobarak Hassan,

Fattahi,

Habibi

2023

Atmosphere

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“…Earlier studies also confirmed that drought leads to airborne salt-dust scatter 7 , 14 , 31 – 33 . When the saline flow sources around the lake are activated during monsoon season, they emit a wave of salt-dust into the air that can reach the neighboring cities 34 .…”

Section: Study Areamentioning

confidence: 64%

Health effects of shrinking hyper-saline lakes: spatiotemporal modeling of the Lake Urmia drought on the local population, case study of the Shabestar County

Feizizadeh

Lakes

Omarzadeh

et al. 2023

Sci Rep

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Climate change and its respective environmental impacts, such as dying lakes, is widely acknowledged. Studies on the impact of shrinking hyper-saline lakes suggest severe negative consequences for the health of the affected population. The primary aim was to investigate the relationship between changes in the water level of the hyper-saline Lake Urmia, along with the associated salt release, and the prevalence of hypertension and the general state of health of the local population in Shabestar County north of the lake. Moreover, we sought to map the vulnerability of the local population to the health risks associated with salt-dust scatter using multiple environmental and demographic characteristics. We applied a spatiotemporal analysis of the environmental parameters of Lake Urmia and the health of the local population. We analyzed health survey data from local health care centers and a national STEPS study in Shabestar County, Iran. We used a time-series of remote sensing images to monitor the trend of occurrence and extent of salt-dust storms between 2012 and 2020. To evaluate the impacts of lake drought on the health of the residences, we investigated the spatiotemporal correlation of the lake drought and the state of health of local residents. We applied a GIScience multiple decision analysis to identify areas affected by salt-dust particles and related these to the health status of the residents. According to our results, the lake drought has significantly contributed to the increasing cases of hypertension in local patients. The number of hypertensive patients has increased from 2.09% in 2012 to 19.5% in 2019 before decreasing slightly to 16.05% in 2020. Detailed results showed that adults, and particularly females, were affected most by the effects of the salt-dust scatter in the residential areas close to the lake. The results of this study provide critical insights into the environmental impacts of the Lake Urmia drought on the human health of the residents. Based on the results we suggest that detailed socioeconomic studies might be required for a comprehensive analysis of the human health issues in this area. Nonetheless, the proposed methods can be applied to monitor the environmental impacts of climate change on human health.

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“…Satellite imagery emerges as a formidable instrument, wielding the power to discern, map, and vigilantly oversee regions prone to these perils, thus contributing to risk mitigation and the fortification of disaster preparedness, as delineated in the works of Majidi et al (2022) and Qasimi et al (2022). Remote sensing data assumes a pivotal role in the identification and continuous monitoring of an array of natural phenomena, spanning earthquakes, landslides, wildfires, and hurricanes, as evidenced by the research conducted by Isazade et al (2021;2022). By amalgamating remote sensing data with other geospatial information, researchers and emergency response teams can better comprehend the magnitude of destruction caused by natural calamities.…”

Section: Introductionmentioning

confidence: 99%

“…This comprehensive review provides an overarching perspective on remote sensing applications across various geographic disciplines, encompassing land cover mapping, vegetation analysis, urban studies, water resources management, and natural hazard assessment. Integrating remote sensing data with GIS and the latest advances in artificial intelligence holds substantial promise for the future of geographic research (Isazade et al, 2021). However, challenges related to data availability, accuracy, and advanced analytical techniques must be addressed to harness the benefits of remote sensing fully Hinton, 1996;Yao, 2021;Zhang et al, 2011aZhang et al, , 2011b.…”

Section: Introductionmentioning

confidence: 99%

Unveiling the Complexity of Earth's Dynamic Ecosystems: Harnessing the Power of Remote Sensing for Environmental Analysis

Ahmadi,

Mohammadi,

Nadry

et al. 2023

Idn. J. Earth Sci.

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Remote sensing has become an indispensable tool within geographic studies, fundamentally reshaping our understanding of the Earth's dynamic processes and surface. This comprehensive review article explores the diverse and multifaceted applications of remote sensing across various geographic disciplines. It commences by providing a comprehensive overview of the evolution and underpinning technology of remote sensing. Subsequently, the paper proceeds to delve into the methodological intricacies commonly employed in remote sensing studies, followed by an in-depth and systematic review of relevant literature. This meticulous review elucidates key findings and pioneering advancements and highlights the prevalent challenges experienced in diverse geographic domains. The empirical outcomes of this review underscore the profound importance of remote sensing as an invaluable tool for mapping vegetation areas. Furthermore, the findings gleaned from this extensive inquiry underscore the considerable contribution of remote sensing in enhancing our understanding of urban studies. This manifests through its capacity to furnish detailed insights into urban morphology, land use patterns, and the dynamic urban growth processes. The research outcomes vividly illustrate that water resources management derives substantial benefits from the intrinsic capabilities of remote sensing. Its capacity to capture and provide crucial water quality parameters and aquatic ecosystems empowers water resource professionals with a wealth of indispensable data. Moreover, the findings of this comprehensive review concretely establish the irreplaceable role of remote sensing in assessing natural hazards, spanning from landslides to volcanic activity. The empirical evidence presented is a testament to the importance of integrating remote sensing data with Geographic Information Systems (GIS). This interaction has revolutionized spatial data analysis and visualization, underscoring the transformative potential of combining these two technological domains.

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Investigation of the Effects of Salt Dust Caused by Drying of Urmia Lake on the Sustainability of Urban Environments

Cited by 5 publications

References 0 publications

Temporal and Spatial Variability of Dust in the Urmia Basin, 1990–2019

Temporal and Spatial Variability of Dust in the Urmia Basin, 1990–2019

Health effects of shrinking hyper-saline lakes: spatiotemporal modeling of the Lake Urmia drought on the local population, case study of the Shabestar County

Unveiling the Complexity of Earth's Dynamic Ecosystems: Harnessing the Power of Remote Sensing for Environmental Analysis

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