Spatio-temporal variability of dust events in the northern Persian Gulf from 1991 to 2020

Ghafarian, Parvin; Kabiri, Keivan; Delju, Amir H.; Fallahi, Mehri

doi:10.1016/j.apr.2022.101357

Cited by 17 publications

(3 citation statements)

References 74 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Strait of Hormuz (SH) is totally at higher levels in the warm month of September, in agreement with previous studies in this area (AlKaabi et al, 2016;Kabiri, 2022). However, the Z sd values in the shallow coastal and estuary areas are relatively lower than the offshore ones in both dates, where they are mostly affected by different sources of natural or man-made contaminations entering from the mainland areas, such as river plumes and wastewaters.…”

supporting

confidence: 89%

“…6c represent the monthly mean value of Z sd in the three mentioned regions. The graphs indicate that water transparency in all three regions in warmer months (May to August) is higher compared to the colder ones (December to March), mostly due to the blowing of the stronger winds in winter, mixing the water layers, and decreasing water transparency (Reynolds, 1993;Thoppil and Hogan, 2010;Ghafarian et al, 2022;Kabiri 2022a). The other results from the graphs suggest that the domain of the annual oscillation of the Z sd values in the GO (5-18 m) is evidently higher compared with those in the PG (4-12 m) and the SH (7-10 m) regions, so the maximum Z sd value in the GO has happened in the warmest month (June) and before the beginning of summer monsoon (after July), which initiates a strong upwelling system in this region (Yi et al, 2018).…”

Section: A Spatiotemporal Of Modeled Sd Values In the Study Areamentioning

confidence: 96%

See 1 more Smart Citation

Retrieval and Validation of the Secchi Disk Depth Values (Zsd) from the Sentinel-3 satellite data in the Persian Gulf and the Gulf of Oman

Kabiri

2023

Preprint

Self Cite

View full text Add to dashboard Cite

In this study, the Secchi disk depth (Zsd) values as an indicator of seawater clarity/transparency were estimated using the ESA (European Space Agency) Sentinel-3A and − 3A OLCI (S3/OLCI) satellite data in the Persian Gulf and the Gulf of Oman (PG&GO). To do so, two procedures were evaluated including an empirical methodology developed by Doron et al., 2007 and 2011 and a novel model proposed in this research formed by employing the blue (B4) and green (B6) bands of S3/OLCI data. In this regard, a total number of 157 field-measured Zsd values (114 training points for calibration of the models and 43 control points for accuracy assessment of them) were observed during eight research cruises conducted by the research vessel, the Persian Gulf Explorer, in the PG&OS between 2018 and 2022. The optimum methodology was then selected based on the statistical indicators including, R2 (coefficient of determination), RMSE (root mean square error), and MAPE (mean absolute percentage error). However, after the indication of the optimal model, the data of all 157 observations were utilized for the calculation of unknown parameters of the model. The final results demonstrated that compared to the existing empirical model proposed by Doron et al., 2007 and 2011, the developed model in this study which was formed based on the linear and ratio terms of B4 and B6 bands, has more efficiency in the PG&GO. Consequently, a model in form of Zsd= e1.638B4/B6 − 8.241B4 − 12.876B6 + 1.26 was suggested for the estimation of Zsd values from S3/OLCI in the PG&GO (R2 = 0.749, RMSE = 2.56 m, and MAPE = 22.47%). The results also showed that the annual oscillation of the Zsd values in the GO (5–18 m) is evidently higher compared with those in the PG (4–12 m) and the SH (7–10 m) regions.

show abstract

supporting

confidence: 89%

Section: A Spatiotemporal Of Modeled Sd Values In the Study Areamentioning

confidence: 96%

Retrieval and Validation of the Secchi Disk Depth Values (Zsd) from the Sentinel-3 satellite data in the Persian Gulf and the Gulf of Oman

Kabiri

2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, in comparison with summertime, the turbidity of water in the studied area usually is less than in wintertime, hence it is decided to utilize satellite images acquired on wintertime (Ghobadi et al, 2015a). The study area is affected by sand storms (Ghafarian et al, 2022) and its climate is changing rapidly (Ghobadi et al, 2015b;Beni et al, 2021). The weather system of Nayband Bay is sub-tropical which means high temperature and humidity in summertime.…”

Section: Study Sitementioning

confidence: 99%

A Cross-Sensor-Based Approach to Estimate Depth Values in Nearshore Coastal Waters, Case Study: Nayband Bay, Persian Gulf

Kabiri

Moradi²

2023

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. A cross-sensor-based approach using Landsat-8 OLI (L8/OLI) and Sentinel-2A MSI (S2A/MSI) imagers was examined to estimate bathymetric data in nearshore coastal waters. An L8/OLI image and an S2A/MSI image (Acquisition date: November 16, 2017) were selected from Nayband Bay, the southern region of Iran. In addition, precise bathymetric data for the studied area were used to calibrate the models and validate the results. Ratio together with traditional linear transform methods and a novel cross-sensor-based method were conducted to determine the depth values from both satellite images. Four bands of L8/OLI imager (Band No.1: Coastal/Aerosol [0.435–0.451 µm], Band No. 2: blue [0.452–0.512 µm], Band No. 3: green [0.533–0.590 µm], and Band No. 4: red [0.636–0.673 µm], spatial resolution: 30 m) were considered to create the aforementioned models while the three bands of S2A/ MSI imager were used (Band No. 2: blue [0.458–0.523 µm], Band No. 3: green [0.543-0.578 µm], and Band No. 4: red [0.650–0.680 µm], spatial resolution: 10 m). All models' accuracy was evaluated using comparing the calculated bathymetric information with field observed values. The statistical indicators including correlation coefficients (R2), root mean square errors (RMSE), and standard errors (SE) for validation points were computed for all models of two imagers. The final results demonstrated that although the spatial resolution of L8/OLI imagery is less than S2A/MSI, the precision of estimated depth is higher due to having more bands in the visible wavelength range. However, the integrated cross-sensor-based method including the bands of both sensors yielded the most accurate results (R2 = 0.90, RMSE = 1.66 m, and SE = 1.29 m).

show abstract

Decadal climate variability of chlorophyll-a in response to different oceanic factors in the Western Indian ocean: the sea of oman

Chinta,

Kalhoro,

Liang

et al. 2024

Clim Dyn

View full text Add to dashboard Cite

Spatio-temporal variability of dust events in the northern Persian Gulf from 1991 to 2020

Cited by 17 publications

References 74 publications

Retrieval and Validation of the Secchi Disk Depth Values (Zsd) from the Sentinel-3 satellite data in the Persian Gulf and the Gulf of Oman

Retrieval and Validation of the Secchi Disk Depth Values (Zsd) from the Sentinel-3 satellite data in the Persian Gulf and the Gulf of Oman

A Cross-Sensor-Based Approach to Estimate Depth Values in Nearshore Coastal Waters, Case Study: Nayband Bay, Persian Gulf

Decadal climate variability of chlorophyll-a in response to different oceanic factors in the Western Indian ocean: the sea of oman

Contact Info

Product

Resources

About