Sensitivity analysis of the numerical aspect of the SWAN for the tropical cyclone wave simulations in the Gulf of Oman

Siahsarani, Amir; Khaniki, Ali Karami; Bidokhti, Abbasali Aliakbari; Azadi, Majid

doi:10.1007/s12517-020-05629-8

Cited by 2 publications

(3 citation statements)

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“…Therefore, the storm can cause a lot of loss of life and economic damage to the port's inhabitants. The considered area is shown in Figure 2a, and the dominant direction of the waves in this area during the cyclone is from the east and south-west, and the offshore wave height could reach up to 9 m. Most of the tropical cyclones in the Arabian Sea are formed in pre-monsoon (May) and post-monsoon seasons (October and November) [20]. However, some cyclones are formed between June to early September (Kharif season).…”

Section: Case Studymentioning

confidence: 99%

“…E is the energy density [21]. Most of the tropical cyclones in the Arabian Sea are formed in pre-monsoon (May) and post-monsoon seasons (October and November) [20]. However, some cyclones are formed between June to early September (Kharif season).…”

Section: The Governing Equation Of Mike21 Swmentioning

confidence: 99%

“…Regarding the vulnerability of sandy beaches against flooding, overwash, and erosion, the present study aims to evaluate the impact of inland flooding by Gonu cyclone on the coastline of Sur. Most of the tropical cyclones in the Arabian Sea are formed in pre-monsoon (May) and post-monsoon seasons (October and November) [20]. However, some cyclones are formed between June to early September (Kharif season).…”

Section: Introductionmentioning

confidence: 99%

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Study of the Effect of an Environmentally Friendly Flood Risk Reduction Approach on the Oman Coastlines during the Gonu Tropical Cyclone (Case Study: The Coastline of Sur)

Banan-Dallalian

Shokatian-Beiragh

Golshani

et al. 2021

Eng

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Tropical cyclones may be destructive in the coastal region, such as the Gonu tropical cyclone, which affected the Arabian Peninsula and parts of southern Iran in 2007. In this study, a coupled MIKE 21/3 HD/SW (hydrodynamic/spectral wave) model was used to simulate the inland flooding inside the Sur port during the Gonu tropical cyclone. The MIKE 21 Cyclone Wind Generation (CWG) tool was utilized to generate the cyclone’s wind and pressure field. The required input data were obtained from the International Best Track Archive for Climate Stewardship (IBTrACS) and imported into the CWG tool. In this study, the wind and pressure fields were compared between the analytical vortex model and European Centre for Medium-Range Weather Forecasts (ECMWF) data during the Gonu cyclone passage. Moreover, by developing a new model, artificial Mangroves’ effect on inland flooding was investigated. The results show that, contrary to the ECMWF data, the analytical vortex models well captured the storm event’s wind and pressure field. Furthermore, the flood hazard is calculated based on the inundation depth, flow velocity, and area’s vulnerability. The flood hazard map shows that 5% of the coast is at high-risk, 49% is at medium-risk, and 46% is at low-risk class in the Sur port. By applying Mangroves as flood risk reduction, the high-risk area is almost completely removed. However, medium and low-risk zones increase by 50% and 50%, respectively. This information could be helpful in disaster risk reduction and coastal management in the future.

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Section: Case Studymentioning

confidence: 99%

Section: The Governing Equation Of Mike21 Swmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Study of the Effect of an Environmentally Friendly Flood Risk Reduction Approach on the Oman Coastlines during the Gonu Tropical Cyclone (Case Study: The Coastline of Sur)

Banan-Dallalian

Shokatian-Beiragh

Golshani

et al. 2021

Eng

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Investigation of Waves Generated by Tropical Cyclone Kyarr in the Arabian Sea: An Application of ERA5 Reanalysis Wind Data

et al. 2022

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In this study, the wave conditions in the Arabian Sea induced by tropical cyclone Kyarr (2019) have been simulated by employing the 3rd generation wave model MIKE 21 SW. The model was run from 24 October to 1 November 2019, a total of 8 days. The MIKE 21 SW model was forced by reanalyzed ERA5 wind data from the European Centre for Medium-Range Weather Forecasts (ECMWF). The results are compared with buoy data from the Indian National Centre for Ocean Information Services (INCOIS), which is located at 67.44° E, 18.50° N. In addition, the satellite altimeter data (CryoSat-2, SARAL and Jason-3 satellite altimeter data) was utilized for validation. Three wave parameters are considered for the validation: the significant wave height; the peak wave period; and the mean wave direction. The validation results showed that the significant wave height, the peak wave period, and the mean wave direction could be reasonably predicted by the model and reanalysis wind data as input. The maximum significant wave height reached to 10.7 m (with an associated peak wave period of 12.5 s) on 28 October 2019 at 23:00:00 in the middle of the Arabian Sea. For coastal areas, the significant wave height along the Iran and Pakistan (north Arabian Sea) coasts increased to a range of 1.4–2.8 m when tropical cyclone Kyarr moved northward. This wave height along with elevated sea level may cause severe coastal erosion and nearshore inland flooding. Impacts of cyclones on coastal zones critical facilities and infrastructure can be reduced by timely and suitable action before the event, so coastal managers should understand the effect of cyclones and their destructive consequences. The validated model developed in this study may be utilized as input data of evaluating the risk to life and infrastructure in this area.

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Sensitivity analysis of the numerical aspect of the SWAN for the tropical cyclone wave simulations in the Gulf of Oman

Cited by 2 publications

References 50 publications

Study of the Effect of an Environmentally Friendly Flood Risk Reduction Approach on the Oman Coastlines during the Gonu Tropical Cyclone (Case Study: The Coastline of Sur)

Study of the Effect of an Environmentally Friendly Flood Risk Reduction Approach on the Oman Coastlines during the Gonu Tropical Cyclone (Case Study: The Coastline of Sur)

Investigation of Waves Generated by Tropical Cyclone Kyarr in the Arabian Sea: An Application of ERA5 Reanalysis Wind Data

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