Spatial Analysis of Environmental Hazards

Spatial Analysis of Environmental Hazards

Synoptic analysis of the torrential on Day 21, 1398 (Case study: Zahedan and Qeshm)

Authors
Rasool Nooriara
seysd jamalaldin daryabari
Bohlol Alijani
Reza Borna
Abstract
Synoptic analysis of the torrential on Day 21, 1398 (Case study: Zahedan and Qeshm)

Abstract
Rainfall is the most important phenomenon or feature of the environment and so far many studies have been done about its causes. In any place, rainfall occurs when humid air and climbing cause are provided. Both of these conditions are provided by the circulation pattern. The study area is affected by some severe and sudden weather phenomena such as low annual rainfall, short rainfall period and rainfall in the form of heavy showers. Thus, it is possible that the limited and pervasive precipitation of the area is due to a different synoptic pattern. Because the relationship between circulation patterns and precipitation is significant, achieving acceptable results in the field of the relationship between these patterns with the limit and total rainfall of the studying area requires the analysis of synoptic maps. Therefore, the most important purpose of the present study is the synoptic analysis of heavy cloud rainfall of the studying area on Day 1398.
Two sets of data were required for this study: A: Daily precipitation data of study stations on the day of heavy cloud rainfall on 21 Day (January 11, 2020) along with daily precipitation data in the days before the flood (96 hours before the flood) which was received from the main Meteorological Organization of the country.
B: atmosphere data levels including: sea level (SLP), 850 and 500 hPa levels, vertical atmospheric velocity and wind flow levels of 1000, 850 and 500 hPa, specific humidity of 1000 and 700 hPa levels and 250 hPa surface flow winds for study days from the US National Center for Environmental Forecasting / National Atmospheric Research Center (NCEP/NCAR) were provided in the range of 0 to 60 degrees at north latitude and 0 to 80 degrees at east longitude, and finally, maps were drawn and prepared in Gardes software to provide the ability to interpret.
The synoptic analysis of sea level showed that: on the day of the heavy cloud, a low-height closed center with a central core of 1,010 hPa in the northeast-southwest direction covered the entire study area. Then, the high-height with a central core equal to 1030 hPa is located at northwest of Iran, northwest of Europe and on Tibet. According to the location of high-pressure dams around Iran and the location of low-pressure centers on the study area and water resources in the south, a strong pressure has been created. Subsequently, with height increasing, low-height with central core equal to 1440 geopotential meters is located at northeast-southwest direction of entire study area. And the low height of northern Russia extends to the Persian Gulf and provides the conditions for severe ascent and instability in a very large area. The rear dams of Nave transferred the cold air of the high latitudes into the bottom of the Nave located on the study area and have intensified the instability. Also, the geopotential height of 500 hPa level of deep descent is located at the northeast-southwest direction of Iran and core of the Nave covers the Persian Gulf completely, that is the study area in the best condition and in front of the Nave, which is diverged by hot and humid weather. This deepening of the rotation and the penetration of the Nave to the lower latitudes caused the cold air to fall.
The analysis of the 250-hectopascal-level flow-wind shows that the flow-wind with a core speed of 65 meters per second has covered the entire study area by crossing above the Persian Gulf, and compared to the previous days, the flow-wind is completely meridional.
Synoptic analysis of the vertical velocity at the level of 1000 hPa shows that the maximum negative omega -0.2 to -0.15 Pascal per second in the northwest-southeast direction has covered the study area. The presence of negative omega index values ​​indicates the role of convection in intensifying precipitation in mentioned area and the dynamic ascent of air. The study map shows that compared to other countries in the study map, the maximum of negative omega is located on Iran, which is reduced along to the west of Iran. With increasing altitude, the maximum negative omega has increased to -0.3 Pascal per second and the core of the maximum negative omega is completely located on the study stations (Zahedan and Qeshm). Then, at the level of 500 hPa, the maximum negative omega has reached -0.6 Pascal per second and its value has doubled compared to the level of 850 hPa, which covers the northeast-southwest direction from Zahedan to the Strait of Hormuz. Cold air fall has increased with increasing of omega levels in the middle levels of the atmosphere.In other words, in the middle levels of the atmosphere, with increasing temperature difference between the earth's surface and the level of 500 hPa, the amount of precipitation has increased.
Synoptic analysis of specific moisture level of 1000 hPa shows that the most moisture deposition was from south water sources to the study area, and the amount of moisture equal to 14 grams per kilogram has entered the study area from the Oman Sea and then its amount has been reduced crossing to other regions of Iran. Furthermore, at the level of 700 hPa, the maximum advection of hot and humid air is in front of the upper atmosphere of Nave from the Red Sea over the study area. There is a moisture strip from the southeast to the whole area under analysis. These suitable humidity conditions with the depth of the western wave have been able to cause heavy cloud rainfall. The maximum amount of moisture in the study area is equal to 7 grams per kilogram, which is a large amount compared to heavy rainfalls.

Keywords: heavy rainfall, flood, synoptic, Zahedan, Qeshm
Keywords
heavy rainfall
Flood
Synoptic
Zahedan
Qeshm
Chen, C.H. 2011. Investigation of a heavy rainfall event over southwestern Taiwan associated with a subsynoptic cyclone during the 2003 Mei-Yu season. Atmospheric Research, 95: 235–254.
Evin, G., Balanchet, J., Paquet, E,. Garavaglia, F., Penot, D.2016. A regional model for extreme Rainfall based on weather patterns subsampling. Journal of Hydrology, 541: 1185-1198.
Feloni, E., Nastos, P.T., Mastanguras, I.2016. Seasonal Synoptic characteristics of heavy rain events In the Attica region. 13th International Conference on Meteorology Climatology and Atmospheric Physics, 6: 1-16.
Hidayat, R., Pawitan, H., Aldrian, E., Nuryanto, D.2016. Heavy Rainfall distributions over Java Sea in wet season. Procedia Environmental Sciences, 33: 178-186.
John, M.P., Pauls, J.R.2014. Synoptic Control of Heavy –Rain Producing Convective Training Episodes. MONTHLY WEATHER REVIEW,5: 2464-2482.
Kai, Y., Zhiwei, Z.2017.A pair of new moisture dynamic diagnostic parameters for Heavy rain location. Springer- verlag Wien.
Li L., Albertus J. D.2015.Trajectory Analysis of the Heavy rain in Beijing. Earth and Climate Cluster,7: 23-24.
Marek, K., Miloslav, Muller.2010.Variants of synoptic-scale patterns inducing heavy Rains in the Czech Republic. Physics and Chemistry of the Earth, 35: 477-483.
Michael J. P., James S.R., Caroline C.U., Peter R.B .2014. A synoptic climatology of heavy rain events in the Lake Eyre and Frome catchments Frontiers in Environmental Science. Atmospheric Science.9: 205-222.
Mubarak, H.E., Varshosaz, K.2011.The Divergence Field in Western Iran Heavy Rain Associated with Central Mediterranean Cyclone. Advances in Environmental Biology, 8: 3425-3433.
Oliveria P.T., Lima K.C., Santos E.S.2013. Synoptic environment associated with heavy rainfall events on the coastland of Northeast Brazil. Advances in Geoscience, 35: pp. 73-78.
Pfahl, S. 2014. Characterising the relationship between weather extremes in Europe and synoptic circulation features.Nat. Hazards Earth Syst, 14: 1461–1475.
Richard H.G., Michael K.2010.The Historic Synoptic-Hybrid rainfall event. National Weather Service State College, PA 1680330.
Spatial Analysis of Environmental Hazards
Volume 9, Issue 3 - Serial Number 35
Autumn 2022
Pages 119-134