Air pollution from gas refinery through contamination with various elements disrupts semiarid Zagros oak (Quercus brantii Lindl.) forests, Iran

Dadkhah-Aghdash, Hamed; Zare‐Maivan, Hassan; Heydari, Mehdi; Sharifi, Mohsen; Lucas‐Borja, Manuel Esteban; Naidu, Ravi

doi:10.1038/s41598-021-04429-8

Cited by 6 publications

(2 citation statements)

References 42 publications

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“…in the atmosphere on the S2 received RS, the signals obtained by the S2 sensor will equal the signal recorded by the optical spectrum instruments measured at the same wavelengths, which are a very short distance from the seawater surface (we tried to manage the distances around 30 cm). However, our atmosphere is contaminated [67], even by heavy metals [68], and this will unavoidably increasingly affect any satellite sensors to some extent. Even Sen2cor cannot be completely corrected due to the effect of the atmosphere, which is designed for a unique potential of the Sentinel-2 data obtaining SR (level 2A) [69].…”

Section: Machine Learning Model Calibration Using Ramses-trios Measur...mentioning

confidence: 99%

Calibration of Sentinel-2 Surface Reflectance for Water Quality Modelling in Binh Dinh’s Coastal Zone of Vietnam

et al. 2023

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Coastal zones are critically important ecosystems that are closely tied to human activities, such as tourism, urbanization, transport, and aquaculture. However, managing and monitoring sea water in the coastal areas is often challenging due to the diversity of the pollution sources. Traditional approaches of onsite measurement and surveys have limitations in terms of cost, efficiency and productivity compared with modern remote sensing methods, particularly for larger and longer observations. Optical remote sensing imagery has been proven to be a good data source for water quality assessment in general and for seawater studies in particular with the use of advanced techniques of data processing such as machine learning (ML) algorithms. However, optical remote sensing data also have their own disadvantages as they are much affected by climatic conditions, atmospheric gas and particles as a source of noise in the data. This noise could be reduced, but it is still unavoidable. This study aims to model seawater quality parameters (total suspended solids (TSS), chlorophyll-a (chla), chemical oxygen demand (COD), and dissolved oxygen (DO)) along a 134 km sea coastal area of the Binh Dinh province by applying the current robust machine learning models of decision tree (DT), random forest (RF), gradient boosting regression (GBR), and Ada boost regression (ABR) using Sentinel-2 imagery. To reduce the atmospheric effects, we conducted onsite measurements of sea surface reflectance (SSR) using the German RAMSES-TriOS instrument for calibration of the Sentinel-2 level 2A data before inputting them to the ML models. Our modeling results showed an improvement of the model accuracy using calibrated SSR compared with the original Sentinel-2 level 2A SSR data. The RF predicted the most accurate seawater quality parameters compared with in situ field-measured data (mean R2 = 0.59 using original Sentinel-2 level 2A SSR and R2 = 0.70 using calibrated SSR). The chla was the most precise estimate (R2 = 0.74 when modelled by the RF model) flowing by DO, COD and TSS. In terms of seawater quality estimation, this accuracy is at a good level. The results of the seawater quality distributions were strongly correlated with coastal features where higher values of TSS, chla, COD, and DO are near the river mouths and urban and tourist areas. These spatial water quality data could be extremely helpful for local governments to make decisions when the modelling is continuously conducted (using big data processing), and it is highly recommended for more applications.

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Section: Machine Learning Model Calibration Using Ramses-trios Measur...mentioning

confidence: 99%

Calibration of Sentinel-2 Surface Reflectance for Water Quality Modelling in Binh Dinh’s Coastal Zone of Vietnam

et al. 2023

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“…Besides the health impact, the PM also contaminates the soil [50,51], and there are three agriculture zones close to Korangi, S.I.T.E. and Landhi industrial areas.…”

Section: Resultsmentioning

confidence: 99%

Industrial Emission Monitoring and Assessment of Air Quality in Karachi Coastal City, Pakistan

Idrees,

Nergis,

Irfan

2023

Atmosphere

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Industrialization, anthropogenic activities, the exhaust of vehicles and exponential population growth have a significant impact on the outdoor air quality of megacities across the world. Karachi is one of the largest cities in Pakistan, South Asia. The dense population, rapid economic growth and unplanned industrial activities have improved the socioeconomic status but also deteriorated the air quality of Karachi. The severe increase in air pollution has become a threat to the local population in terms of their health issues, quality of life and environment. Therefore, it is essential to quantify and monitor the spatiotemporal variation in outdoor air quality parameters. The current study aims to monitor the air quality in four major industrial zones of Karachi for three years (2020–2022). The field data was collected during the periods of post-monsoon and pre-monsoon using the HAZ-SCANNER (HIM-6000) apparatus, which measured outdoor air pollutants such as carbon monoxide (CO), nitrogen oxides (NO2), sulfur dioxide (SO2) and particulate matter (PM10, PM2.5 and TSPM). The data from 24 stations was analyzed using statistical analysis tools to estimate the parameters and Arc GIS to map the spatial variation of each parameter. The result shows that the concentration of particulate matter (TSPM, PM2.5 and PM10), SO2, NO2 and CO values at sampling sites are moderate in the post-monsoon season as compared to the pre-monsoon season due to cyclical monsoon effects and exceed the environmental quality standards. It was also noted that the North Karachi industrial area is at lower risk due to the small-scale industry. The higher levels of air pollutants have numerous health implications and may cause chronic infections. The air pollutant has a severe impact on plant growth and soil. Therefore, it is important to implement local environmental standards regarding outdoor air pollutants to mitigate the adverse impact on human health and economic activities.

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Sulfur and Potentially Toxic Elements in Soils and Various Organs of Oak Trees (Quercus brantii Lindl.) in Zagros Forests: the Effect of a Gas Refinery

Dadkhah-Aghdash

Pehlivan

2022

J Soil Sci Plant Nutr

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Air pollution from gas refinery through contamination with various elements disrupts semiarid Zagros oak (Quercus brantii Lindl.) forests, Iran

Cited by 6 publications

References 42 publications

Calibration of Sentinel-2 Surface Reflectance for Water Quality Modelling in Binh Dinh’s Coastal Zone of Vietnam

Calibration of Sentinel-2 Surface Reflectance for Water Quality Modelling in Binh Dinh’s Coastal Zone of Vietnam

Industrial Emission Monitoring and Assessment of Air Quality in Karachi Coastal City, Pakistan

Sulfur and Potentially Toxic Elements in Soils and Various Organs of Oak Trees (Quercus brantii Lindl.) in Zagros Forests: the Effect of a Gas Refinery

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