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Annals of Environmental Science and Ecology

Disastrous Effects of Hurricane Helene in the Southern Appalachian Mountains Including a Review of Mechanisms Producing Extreme Rainfall

Abstract Citation INTRODUCTION METHODS, ANALYSIS OF VERTICAL WIND STRUCTURE AND BUOYANCY RESULTS VERTICAL WIND STRUCTURE OF THE RAINFALL DISCUSSION AND CONCLUSION REFERENCES
Details

Received: 27-Jun-2025

Accepted: 25-Jul-2025

Published: 27-Jul-2025

Jeff Callaghan*

Bureau of Meteorology Queensland, Australia

Corresponding Author:

Jeff Callaghan, Bureau of Meteorology Queensland, Australia.

Keywords

Global Extreme Rainfall; High Moisture; Wind Change; Elevation; Wind Gusts; Floods; Landslides; Run Of

Abstract

Hurricane Helene made landfall near Perry (Latitude 30.1N) in the Big Bend area of Florida with a central pressure of 939hPa. It moved northwards creating devastating damage and loss of life; however, the greatest damage and number of fatalities occurred well to the north around the City of Ashville (Latitude 35.6N) where extreme rainfall fell and some of the strongest wind gusts were reported [1-3]. This paper describes the change in the hurricane’s structure as it tracked northwards, how it gathered tropical moisture from the Atlantic and a turning wind profile between the 850hPa and 500hPa elevations which led to such extreme rainfall. This turning wind profile is shown to be associated with extreme rainfall and loss of life from drowning and landslides around the globe. The area around Ashville suffered 157 fatalities which is a significant proportion of the 250 fatalities so far recorded in the whole United Stares from Helene. This is of extreme concern and should be investigated in detail as the public generally expect the greatest impact from hurricanes to be confined to coastal areas near the landfall site. It is another example of increased death tolls from tropical cyclones moving inland and generating heavy rainfall. As the global population increases and inland centres become more urbanised, run off from such rainfall increases which causes greater devastation.

Citation

Callaghan J (2025) Disastrous Effects of Hurricane Helene in the Southern Appalachian Mountains Including a Review of Mechanisms Pro ducing Extreme Rainfall. Ann Environ Sci Ecol 3: 13.

INTRODUCTION

The Black Mountains are a range in Western North Carolina in the southeastern United States. They are part of the Blue Ridge Province of the southern Appalachian Mountains and are the highest mountains in the Eastern United States. The southern and western extremes of the Black Mountains run along the Buncombe County line which suffered most damage and loss of life from Helene.

Highest Measured Wind Gusts in the Appalachian Mountains from Hagen et al. [4], were in the Black Mountains in Yancey County at Mt. Mitchell (Elevation: 2,037m Prominence: 1,856 m) at 1227UTC 27 September 2024, where gusts of 92knots and sustained I minute wind of 70knots were measured. At Watauga County Banner Elk at 1200UTC 27 September 2024 the readings were, 88knots gust (sustained wind 55knots), and in Haywood County Frying Pan Mountain at 1152UTC 27 September 2024 76knots gust (sustained wind 55knots). Gusts were a little weaker In South Carolina where Laurens County Laurens recorded 67knots, Beaufort County Beaufort 65knots, Anderson County Anderson 63knots, Aiken County Aiken 63knots and Pickens County Sassafras Mountain 63knots.

Mt Mitchell is the highest peak in mainland North America east of the Mississippi River, and the 92knots (47.4metres per second) gust recorded there was the second-highest wind gust from Hurricane Helene. The highest measured wind gust was slightly more at 93knots (47.8 metres per second) in the United States recorded during Helene, was measured by a buoy offshore from Florida’s west coast.

Fatalities in the United States mainland from Hurricane Helene and ex Hurricane Helene.

From Hagen et al. [4], Florida had 18 direct fatalities 16 indirect fatalities totalling 34; Georgia had 28 direct fatalities 9 indirect fatalities and totalling 37; South Carolina 26 direct fatalities 24 indirect fatalities totalling 50; North Carolina 86 direct fatalities 21 indirect fatalities and totalling 107; Tennessee 15 direct fatalities 3 indirect fatalities and totalling 18 ; Virginia 2 direct fatalities 1 indirect fatalities and totalling 3; Indiana 1 direct fatality and nationwide totalled 176 direct fatalities 74 indirect fatalities resulting in 250 fatalities.

Helene is the most devastating natural disaster in western North Carolina’s history and Coast Guard personnel rescued at least 865 people in western North Carolina, mostly from floodwaters. Media reports indicate that the storm damaged or destroyed more than 125,000 housing units across western North Carolina. The North Carolina Forest Service estimated 822,000 acres of damaged timberland, which resulted in $214 million in damages to North Carolina forests. In extreme examples, trees on entire mountainsides were blown down in the higher elevations of North Carolina.

Wind structure associated with extreme Inland Freshwater flooding around the Globe

Below the following analyses is from Callaghan J et al. [5], detailing disastrous events (fatalities 10 or more) which were caused by winds turning in an anti-cyclonic sense with height between 850hPa and 500hPa levels with the wind data obtained from radiosonde data. The exception being the Hurricane Mitch case where the wind data was obtained from reanalyses data. Studies showed that the stronger the winds resulted in heavier rainfall and the anti-cyclonic turning of the winds were between 850 hPa and 500 hPa, the low-level winds had a high moisture content, and the turning angle was approximately 90° or less. Examination of individual events showed that there was a tendency for the turning angle to be smaller than 90° for high rainfall amounts.

Examples of Extreme Rainfall

Mumbai (Santacruz) recorded 944.mm with 481.2mm in the 4hours to 1300UTC 26 July 2005 and then 708.6mm in the following 7 hours. This extreme rainfall caused 445 fatalities.

Mumbai (Santacruz) recorded 944.mm with 481.2mm in the 4hours to 1300UTC 26 July 2005 and then 708.6mm in the following 7 hours. This extreme rainfall caused 445 fatalities.

Seoul 26-28 July 2011 69 fatalities.

Jeddah Saudi Arabia 25 November 2009 122 fatalities and 350 missing.

Zixing China Typhoon Bilis 15 July 2006 843 fatalities.

Chennai India 1 December 2015 280 fatalities.

Chuuk Island Pacific Ocean 2 July 2002 791 fatalities.

Hue and Danang Vietnam 1-4 November 1999 48 fatalities.

Kagoshima Japan 6 August 1993 48 fatalities. Rapid City South Dakota US 9-10 June 1972 238 fatalities.

Big Thomson River Colorado US 31 August- 1 July 1976 145 fatalities. Athens Greece 2 November 1977 36 fatalities.

Nimes France 3 October 1988 9 fatalities.

Nimes France 8 September 2002 37 fatalities.

Lisbon Portugal 19 November 1983 10 fatalities.

Casablanca Morocco 29-30 November 2010 32fatalities.

Samsun Turkey 3July 2012 12 fatalities.

Beijing China 21 July 2012 79 fatalities.

Shanghai and Hangzhou 6-8 October 2013 12 fatalities.

Wenjiang China 10 July 2013 73 fatalities 180 missing.

Hyderabad India 23-24 August 1980 140 fatalities.

Hyderabad India 8-9 August 2008 30 fatalities.

Hanoi 30-32 October 2008 66 fatalities.

Other examples of extreme rainfall.

Hurricane Ida (2021) caused catastrophic flooding in New York City and New Jersey where the hourly rainfall record was broken at Central Park Manhatton. The GFS winds at 00Z 2 Sept 2021 over Central Park in New York were 850 hPa 160/50knots, 700 hPa 180/60knots and 500 hPa 195/60knots which is of course very strong turning in an anti cyclonic sense. The nearest radiosonde station at Upton on Long Island at 0000UTC 2 September 2021 had the same vertical turning structure but from the model data further to the east of the maximum winds near Central Park on Manhattan:-

850 hPa 175/26knots 700 hPa 190/48 knots 220/52knots.

Central Park recorded rainfall of 80.01mm in 1hr to 0151UTC 2 Sept 2021. Forty-Five people drowned in the floods generated by this extreme rainfall.

Below are references to other extreme rainfall events in Australia and the United States associated with this wind structure.

METHODS, ANALYSIS OF VERTICAL WIND STRUCTURE AND BUOYANCY

We have investigated winds turning anticyclonic (anticlockwise in the Southern Hemisphere or clockwise in the Northern Hemisphere) from the 850hPa level up to the 500hPa level. This wind structure is associated with tropical cyclone intensification in the tropics and extreme rainfall both in the tropics and in higher latitudes. For brevity we call this wind structure Warm Air Advection (WAA) due to it having similar turning with height characteristics of Quasi Geostrophic warm air advection [6]. Examples of this wind structure causing extreme rainfall and being associated with tropical cyclone intensification can be found in Tory et al. [7], Callaghan and Tory et al. [8], Callaghan and Power et al. [9] and Callaghan et al. [5-19]. Such WAA has a wind structure that produces streamwise vorticity encouraging rotating updrafts which separate updrafts from the destructive effects of downdrafts. Shallower WAA to 700hPa in tropical air masses can also produce extreme rainfall and flooding from enhanced thunderstorms [5-9].

The common summer wind pattern off the Northeast Australian Coast is the opposite to the WAA pattern and we refer to it as cold air advection (CAA) and this wind structure which contributes to convective suppression. This was illustrated in Figure 2 of Callaghan et al. [16] which shows the winds turning clockwise (cyclonic SH) with height over the area on average through January, February, and March. The rainfall associated with this pattern is light rain with the heavy rain located further north in the monsoon trough across the Gulf of Carpentaria and Cape York. The author spent the active La Nina 1973/1974 summer on Willis Island Meteorological station in the Coral Sea and with monotonous regularity when south of the monsoon trough, the radar balloon flight showed a CAA structure with low level southeast winds turning clockwise with height through southerly winds up to south-westerly at 500hPa. During this time only light rainfall was observed. It was only when a vortex developed, or an upper trough system extended up into the tropics [16] that a pattern conducive to heavy rainfall was observed. In those cases, because the most common 850 to 500hPa vertical wind shear was westerly, a dipole structure was produced with WAA and ascent in the east and CAA and descent in the west.

In the Queensland Severe Weather Section of the Bureau of Meteorology a diagnostic for WAA and heavy rain and TC intensification was developed using 850hPa, 700hPa and 500hPa winds from the European Forecasting Model. This became possible from the 1990s when computer forecasting models became freely available. This clearly showed to us the relationship between WAA and heavy rain and TC intensification. This relationship was first posted in Callaghan and Tory 2014 and the paper used data from Holland et al. [20] to show that intensifying tropical cyclones in the Australian/southwest Pacific region had an asymmetric convective structure associated with WAA when considering the climatological winds at 850hPa and 500hPa and moisture data.

Previous studies [7-9] examined winds associated with extreme rainfall in both the tropics and the mid-latitudes of Australia. Further studies [10-13] found this to apply in many cases around the globe. Theoretical arguments [7] suggest, assuming gradient wind balance, that isentropic uplift is likely to be associated with winds that turn anticyclonically with height in most heavy rain-bearing systems, including the tropics and subtropics. Two Australian studies [9-22] examined extreme rainfall and major flooding events in coastal catchments and more broadly over southeastern Australia. Using radiosonde and reanalysis data they examined the vertical structure of these systems in the period for which upper wind data became available and found WAA wind patterns were associated with extreme rainfall.

anticyclonically with height in most heavy rain-bearing systems, including the tropics and subtropics. Two Australian studies [9-22] examined extreme rainfall and major flooding events in coastal catchments and more broadly over southeastern Australia. Using radiosonde and reanalysis data they examined the vertical structure of these systems in the period for which upper wind data became available and found WAA wind patterns were associated with extreme rainfall.

RESULTS

FigureThe Track of Hurricane Helene

The track of Helene showing its intensity at various intervals is shown in Figure 1 indicating it lost hurricane intensity as it passed Savanah (Georgia) and weakened further as it crossed the Appalachians despite this region suffering the most damage from the storm. Hurricane Helene reached peak intensity with a minimum barometric pressure of 938 hectopascals at 3:10 UTC on September 27 as it made landfall around 16m west-southwest of Perry Florida. Figure 2 shows the eye just after it began moving over Perry with the mean sea level pressure there reading 948.5hPa. Helene then moved towards the north northeast and then northwards into Georga claiming 37 lives and causing severe damage. however, this study focusses on the impact of Helene on Northwest Carolina and nearby eastern Tennessee.

Figure 1: of Hurricane Helene from the Gulf of Mexico across the Appalachians up to Kentucky. Solid circles mark the position of Helene as a hurricane where open circles mark its positions post hurricane. Each position is notated with the date time (UTC) and the central pressure (hPa) and maximum wind speeds in knots.

Figure 2: The eye of Helene at 0315UTC 27 September 2024 shortly after landfall with the observation at Perry Foley Airport.

In Figure 3 the centre at 0800UTC 27 September 2024 was located near the town of Eastman in Georgia where the mean sea level pressure was recorded as 967.8hPa. The surface dewpoint isopleths are plotted, and high moisture (23degrees Celsius) reached Greenville in South Carolina. Overall tropical moisture can be seen over Georgia, Carolina and Northern Florida. An hour later Helene was moving through Northern Georgia with the tropical moisture creeping towards the Blue Ridge Mountains (Figure 4). By 1200UTC 27 September (Figure 5) the storm begins to move over the Blue Ridge Mountains and south southwest of Asheville dragging the tropical moisture with it.

Figure 3: NWS Weather and Hazards map NWS Weather & Hazards for 0800UTC 27 September 2024 with last closed isobar 966hPa and dewpoint contours in dashed red.

Figure 4: NWS Weather and Hazards map NWS Weather & Hazards for 0900UTC 27 September 2024 with last closed isobar 972hPa and dewpoint contours in dashed red.

Figure 5: NWS Weather and Hazards map NWS Weather & Hazards for 1200UTC 27 September 2024 with last closed isobar 976hPa and dewpoint contours in dashed red.

Rainfall and flooding in the Asheville Area

The heavy rainfall in the Asheville area is highlighted in Figure 6. Asheville is the centre of Buncombe County and as of Oct. 27, major damage has been reported to 601 residential and 241 commercial buildings in Buncombe County. Another 294 residential and 153 commercial buildings in the county were destroyed. Located 30.6km northeast of Asheville is Mount Mitchell. This is the highest peak of the Appalachian Mountains (Elevation: 2,037m Prominence: 1,856 m) and the highest peak in mainland North America east of the Mississippi River. Wind gusts reached 92knots (47.4metres per second) on Mount Mitchell which was the second-highest wind gust from Hurricane Helene. The highest wind gust was slightly more at 93knots (47.8 metres per second) in the United States recorded during Helene, was measured by a buoy offshore from Florida’s west coast.

Figure 6: Accumulative rainfall in the Asheville area and showing paths of the French Broad, Swannanoa, and Broad Rivers. Red line drawn to show scale.

The heaviest rainfall recorded during Helene was from Busick on the east-southeast slopes of Mount Mitchell. Water from the Mount Mitchell area drained southwards into the Swannanoa River and northwards into the Nolichucky River. South of Asheville in Figure 6 heavy rain can be seen to have been recorded which drained into the French Broad River which met the flow from the Swannanoa River at Asheville. This confluence of major floods in these two rivers produced catastrophic conditions at Asheville. During the height of the storm the French Broad River crested at 24.67 ft (7.52 m), and the Swannanoa River reached 26.1 ft (8.0 m), both higher than the all-time records set by the Flood of 1916.

The highest observed rainfall total was in Busick, North Carolina, where 30.78 inches (781.8mm) recorded from 1200 UTC 25 September to 1200 UTC 28 September. From Hagen et al (2025) an NWS Cooperative Observer Program (COOP) observer near Celo, North Carolina measured 26.65 inches (676.9mm) of rain. Both of those sites are in Yancey County. Farther south, a rainfall total of 29.98 inches (761.5mm) was measured in Transylvania County, a short distance north of the South Carolina border. A Hydrometeorological Automated Data System (HADS) site at Sunfish Mountain in Greenville County, South Carolina, measured 21.66 inches (550.2m) of rain. Available observations indicate that rainfall amounts more than of 18 inches (457.2mm) occurred across portions of Transylvania, Henderson, Buncombe, Polk, McDowell, Yancey, Mitchell, Burke, Avery and Watauga Counties in North Carolina, as well as in northern Pickens and northern Greenville Counties in South Carolina.

A large area stretching from northwestern South Carolina into western North Carolina and southwestern Virginia received 3-day rainfall totals that had less than a 1 in 1000(<0.1% ) chance of occurring in any given year.

A few other notable rainfall maxima occurred with Helene. Amounts as high as 12 to 13 inches were observed within the Atlanta metro area, which has just a 0.2% to 0.5% chance of occurring in any given year. Atlanta Airport recorded 105mm from 1800UTC 26 September to 0600UTC 27 September and 82.1mm 0600UTC to 1200UTC 27 September. The radiosonde data in the vicinity of Atlanta (station identifier FFC) shows a WAA pattern 0000UTC 26 September (Figure 11 below) and at 0000UTC 27 September (Figure 13).

Figure 7 records the fatalities in the Counties in Northwest Carolina and note that they are mostly clustered around the Asheville area in Buncombe. The heavy rain from the Mount Mitchell region as mentioned above flowed into the Nolichucky River which surged into Tennessee and from Figure 8 the highest number of fatalities there were at Erwin on the Nolichucky River. Ultimately the French Broad River and Nolichucky Rivers merged and became the Tennessee River eventually flowing into the Mississippi. The Catawba and Broad Rivers marked in Figure 6 eventually flowed into South Carolina and Figure 9 shows the fatalities in Counties in that state. They resulted mostly from the rivers draining out of Northwest North Carolina (Saluda, Broad and Catawba Rivers). The Source of the Saluda River was near Rocky Bottom in Pickens County (see Figure 9) which recorded 21.66 inches (550mm) during Hurricane Helene. Rocky Bottom lies just inside the border of South Carolina south of Transylvania County in North Carolina. Various cities and towns in Pickens County received the highest level of rainfall in South Carolina. Table Rock experienced a total of 16.51 (419mm) inches of rain and Liberty saw 13.12 inches (333mm).

Figure 7: Number of fatalities Northwest Carolina counties from Hurricane Helene (as of 14 October 2024).

Figure 8: Number of fatalities Eastern Tennessee counties from Hurricane Helene (as of 14 October 2024).

Figure 9: Number of fatalities South Carolina counties from Hurricane Helene (as of 14 October 2024).

VERTICAL WIND STRUCTURE OF THE RAINFALL

Figure 11 shows the reanalysis charts at 0000UTC 26 September 2024 with wind corresponding observations from radiosonde data and the station identification highlighted in red indicate ascent from the winds turning clockwise (anticyclonic) in direction from 850hPa up to 500hPa. The rainfall station of Busick (maximum known rainfall) is highlighted in white. Reanalysis wind plot near Busick show the wind turning from southerlies at 850hPa to south-southwesterlies at 700hPa to a more south-westerly direction at 500hPa which indicated ascent in the vicinity of Busick. The position of Helene is denoted by a black X.

Figure 12 shows the reanalysis charts at 1200UTC 26 September 2024 with wind corresponding observations from radiosonde data and the station identification highlighted in red indicate ascent from the winds turning clockwise (anticyclonic) in direction from 850hPa up to 500hPa. Reanalysis wind plot near Busick show weakened ascent winds with contrary turning from 850hPa to 700hPa and nearby radio stations indicate lack of an ascent structure. This was occurring during the lowest rainfall at Busick and from Figure 9 the lowest rainfall intensity occurred around this time with 1.81ins (45.9mm) in the 6hours to 1017UTC 26 September 2024 and 0.18 ins (4.6mm) on 26 September from 1317UTC to 1417UTC. Further south radiosonde stations indicated ascent as did the reanalysis winds.

From Figure 13 the ascent type wind structure at 0000UTC 27 September 2024 resumed in the reanalysis winds at Busick (southeast winds turning to south-southeast to southerly winds from 850hPa up to 500hPa). The surrounding radiosonde stations also indicated ascent all the way south to Florida. From the hourly rainfall data at Busick heavy rain there was recorded there with 5.73ins (145.5mm) in 9hr to 0717UTC 27/09/2024.

From Figure 14 the ascent type wind structure at 1200UTC 27 September 2024 continued in the reanalysis winds at Busick (southeast winds turning to south-southeast to southerly winds from 850hPa up to 500hPa). The surrounding radiosonde stations with ascent were now located further north. From the hourly rainfall data this was the heaviest rainfall at Busick 10.31inches (261.9mm) in 6hrs to 1417UTC 27 September 2024. From Figure 14 images of 85 – 92 GHz Polarization Corrected Brightness Temperature an area of intense convection (extreme rainfall in the green to yellow to red area) can be seen to move up to Busick coincident with the heaviest rainfall.

DISCUSSION AND CONCLUSION

As Helene tracked up to Northwest Carolina it developed a very strong deep cyclonic circulation up to the 500hPa level with intense warm air advection from the radiosonde data at RNK(Blacksburg Viginia), GSO(Greensboro North Caroline) and MHX(Newport North Caroline) and from the reanalysis data at Busick North Carolina. This can be seen in Figures 10 and (11,14) and in Figure 15 satellite data shows a large area of intense convection move up towards Northwest Carolina. As this occurred from Figures 3,4 and 5 tropical air (dewpoints to 23C) advanced up towards Ashville and the southern Appalachians. Therefore, the extremely unusual weather pattern associated with Helene brought very strong winds which extended up to middle levels of the troposphere and had a wind structure exhibiting a warm air advection pattern conducive to extreme rainfall particularly as the air mass developed tropical characteristics as it moved northwards.

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

Figure 10: shows the accumulative rainfall at Busick which recorded the heaviest rainfall in the region. From the hourly observations the highest intensity overall was 10.31inches (261.9mm) in 6hrs to 1417UTC 27 September 2024 Lowest intensities were 1.81ins (45.9mm) in 6hr to 1017UTC 26 September 2024 and 26 September 1317Z to 1417Z, only 0.18inch (4.6mm) was recorded.

Figure 11: Reanalysis winds for 0000UTC 26 September 2024 at 850hPa (top left ) 700hPa (top right) and 500ha (lower frame) with radiosonde station winds plotted and ascent denoted by station identification in red. Wind plots highlighted near Busick for clarity.

Figure 12: Reanalysis winds for 1200UTC 26 September 2024 at 850hPa (top left ) 700hPa (top right) and 500ha (lower frame) with radiosonde station winds plotted and ascent denoted by station identification in red. Wind plots highlighted near Busick for clarity.

Figure 13: Reanalysis winds for 0000UTC 27 September 2024 at 850hPa (top left ) 700hPa (top right) and 500ha (lower frame) with radiosonde station winds plotted and ascent denoted by station identification in red. Wind plots highlighted near Busick for clarity.

Figure 14: Reanalysis winds for 1200UTC 27 September 2024 at 850hPa (top left ) 700hPa (top right) and 500ha (lower frame) with radiosonde station winds plotted and ascent denoted by station identification in red. Wind plots highlighted near Busick for clarity.

Figure 15: F17 SSMIS 91.655 GHz (K) 0914UTC 27 September 2024 (top) and 1154UTC 27 September 2024 (bottom) + marks the position of Busick. From RAMMB: TC Real-Time: Real-Time Tropical Cyclone Products - 2024 Season.

REFERENCES

1. Amorim R, Villarini G, Czajkowski J, Smith J. Flooding from Hurricane Helene and associated impacts: A historical perspective. Journal of Hydrology X. 2025; 27: 100204.

2. Little RG. “What Can We Learn from Hurricane Helene?. Journal of Critical Infrastructure Policy. 2024; 5: 59-60.

3. Galen Miller, Arnaud Foubert. Why Helene Hit So Hard: Lessons for a Future of Bareknuckle Storms. The Journal of Critical Infrastructure Policy (JCIP). 2025.

4. Andrew B. Hagen, John P. Cangialosi, Marc Chenard, Laura Alaka, Sandy Delgado. TROPICAL CYCLONE REPORT HURRICANE HELENE.National Hurricane Centre. 2025.

5. Callaghan J. A Diagnostic from Vertical Wind Profiles for Detecting Extreme Rainfall. Tropical Cyclone Research and Review. 2017b; 6:41-54.

6. Holton JR. An introduction to dynamic meteorology. Elsevier Academic Press. 2004: 535.

7. Tory K. The turning winds with height thermal advection rainfall diagnostic: why does it work in the tropics?. Australian Meteorological and Oceanographic Journal. 2014; 64: 231-238.

8. Jeff Callaghan, Kevin Tory. On the use of a system-scale ascent/ descent diagnostic for short-term forecasting of Tropical Cyclone development, intensification, and decay. Tropical Cyclone Research and Review. 2014; 3: 78-90.

9. Jeff Callaghan, Scott B. Power. A vertical wind structure that leads to extreme rainfall and major flooding in southeast Australia. Journal of Southern Hemisphere Earth Systems Science. 2016; 66: 380-401.

10. Callaghan J. Asymmetric Inner Core Convection Leading to Tropical Cyclone Intensification. Tropical Cyclone Research and Review. 2017a; 6: 55-66.

11. Callaghan J. A Short Note on the Rapid Intensification of Hurricanes Harvey and Irma. Tropical Cyclone Research and Review. 2018; 7: 164-171.

12. Callaghan J. The interaction of Hurricane Michael with an upper trough leading to intensification right up to landfall. Trop Cyclone Res Rev. 2019a; 8: 95-102.

13. Callaghan J. A short note on the intensification and extreme rainfall associated with hurricane Lane. Tropical Cyclone Research and Review. 2019b; 8: 103-107.

14. Callaghan J. A comparison of weather systems in 1870 and 1956 leading to extreme floods in the Murray–Darling Basin. Journal of Southern Hemisphere Earth Systems Science. 2020a; 69. 84-115.

15. Callaghan J. East coast lows and extratropical transition of tropical cyclones, structures producing severe events and their comparison with mature tropical cyclones. Journal of Southern Hemisphere Earth Systems Science. 2021a; 71: 229-265.

16. Callaghan J. Weather systems and extreme rainfall generation in the 2019 north Queensland floods compared with historical north Queensland record floods. Journal of Southern Hemisphere Earth Systems Science. 2021b; 71: 123-146.

17. Callaghan J. Development of strong convection in the inner core of tropical cyclones during intensification. GJSFR-H. 2022; 22.

18. Callaghan J. The Eastern Australian Floods of February 2022 and Its Relationship with Climate Change Journal of Energy and Power Technology. 2023; 5.

19. Callaghan J. Development of strong asymmetric convection leading to rapid intensification of tropical cyclones. Tropical Cyclone Research and Review. 2024.

20. Holland GJ. On the climatology and structure of tropical cyclones in the Australian/southwest Pacific region. Aust Met Mag. 1984; 32: 1-46.

21. Callaghan J, S Power. Major coastal flooding in south-eastern Australia 1860–2012, associated deaths and weather systems. Australian Meteorological and Oceanographic Journal2014a; 64: 183-213.

22. Callaghan J, S Power. Major coastal flooding in south-eastern Australia 1860–2012, Supplementary appendix - details on severe weather systems over southeast Australia. 2014b; 1799-2013.

23. Kevin E. Trenberth. On the Interpretation of the Diagnostic Quasi-Geostrophic Omega Equation. Monthly Weather Review. 1978; 106: 131-137.

24. Callaghan J. A Climatology of Heavy Rain and Major Flood Events in Victoria 1876-2019 and the Effect of the 1976 Climate Shift. Journal of Geographical Research. 2021c; 4: 2021c.

25. Callaghan J. Extreme rainfall and flooding from Hurricane Florence Trop. Tropical Cyclone Research and Review. 2020; 9: 172-177.

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Asbestos and Toxicological Concerns

Environmental toxicology is a relatively young field of science concerned with the study of environmental pollutants in air, dust, sediment, soil, and water in the environment and their effects. Since the 1970s, scientists concerned with toxins in the environment focused their research on the impacts of various chemical agents on ecosystems and health hazards associated with certain chemicals including asbestos. Asbestos, the foremost among toxic fugitive dust, resulting from exposure. has the ability to resist heat, fire, and electricity. Asbestos is a group of naturally occurring fibrous silicate materials with known toxicity Although the precise mechanisms by which asbestos fibers cause toxic injury have not yet been fully determined, it is well-documented that fibers that persist within the lung or the mesothelium are capable of producing fibrogenic and tumorigenic effects in these tissues.

Gregory A. Cade* and Hilda Oltean


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Natural Regeneration of Lowland Bamboo (Oxytenantheraabyssinica A. R. Munro) Forests after Mass Flowering and Mass Death in Homosha District, BenishangulGumuz Region, Northwest Ethiopia

The study was done to assess the regeneration status of lowland bamboo after gregarious flowering and death in BenishangulGumuz Region, Homosha District, Jimma and Sherkole Kebeles, North west of Ethiopia. A systematic sampling technique was used to survey lowland bamboo. Twenty and eleven sample plots were surveyed in Jima and Sherkole Kebeles respectively and each plots with 10 x 10 m size. Field observation, regeneration inventory, FGDs, and questionnaire survey on 80 households were used to collect data. Descriptive age class across different management. and inferential statistics were used for data analysis. The seedlings and culms had a significant difference (One-Way ANOVA p <0.05) in density, size (DBH) and height between the two sites. However, the size difference was statistically insignificant. Height and diameter classes distribution indicated highest number of individuals in the lower classes

Dereje Mosissa1*, Gebremedihin Woldegebriel2


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Environmental Health and its Role in Raising the Health Level of Employees against COVID 19 using RTLS

As the world strives to achieve universal health coverage, the sudden occurrence of the Covid-19 pandemic and the unpreparedness of countries to respond quickly and appropriately impose an additional burden on health systems and achieve the goals of sustainable health development Got into trouble. In such a situation, the only strategy against coronary heart disease seems to be to prevent infected people from coming into contact with others by finding infected cases or reducing contact. Public health surveillance or tracking systems are critical in preventing and control ling disease in population. Implementation of these systems is possible by using RTLS technology and database to analyze and monitor information.

Seyed Hasan Taheri1, Sajjad Saberi2* and Saeed Naseri2


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Processes Controlling pH in Nyaruzinga Wetland Source and the Water Supply System in Bushenyi Ishaka Municipality, Uganda

This study investigated the processes responsible for perennial low pH in Nyaruzinga wetland water source in Western Uganda. Under anoxic conditions in wetlands, the redox potential and pH increase, thereby favouring dissolution of iron compounds, humic substances and release of copper, chromium, cobalt, nickel and lead. In situ temperature, pH, DO, EC and Eh were determined while the heavy metals, anions, cations, TOC, DOC and humic substances were analysed in the laboratory, for sediments, raw and treated water. The pH and DO increased from 70 cm deep in the wetland to the surface while the other parameters decreased. Copper (0.123-0.152 mg/L), chromium (0.002-0.299 mg/L), nickel (0.07-0.119 mg/L) and cobalt (0.006-0.081 mg/L) were determined at 70 cm deep, being trace (0.001-0.09 mg/L) at the wetland surface. High concentrations of TOC (14.7-28.3 mg/L) and DOC (0.03-0.71 mg/L) were measured in the wetland while traces of DOC (0.001-0.009 mg/L) and humic substances were determined in raw water but not in the treated water. The low pH in Nyaruzinga wetland is attributed to low molecular weight humic substances under perennial water logged conditions, and treatment processes should aim to remove them.

Christopher Kanyesigye¹*, Robinah N. Kulabako², Herbert M. Kalibbala², Charles B. Niwagaba², Mohammed Babu¹, Marisa Boller³, and Frank Kansiime⁴


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Assessing Environmental and Pharmaceutical Vulnerability Using NDVI: A Case Study of the EF-3 Tornado in Rocky Mount, North Carolina

On July 19, 2023, an EF-3 tornado struck Rocky Mount, North Carolina, severely impacting the environment and damaging Pfizer’s pharmaceutical facility. This project uses the Normalized Difference Vegetation Index (NDVI) to analyze environmental vulnerability before and after the tornado. Landsat 8 satellite imagery was used to compare NDVI data from two weeks before and four weeks after the event. Using ArcGIS, zonal statistics and raster analysis identified areas of significant vegetation loss across urban, forested, and agricultural zones along the 16-mile tornado path. Results revealed notable decreases in NDVI values, indicating widespread loss of vegetation and soil disruption. Damage to the Pfizer plant, which produces about 25% of U.S.hospital-injectable medicines, emphasized the tornado’s critical pharmaceutical impact. This study demonstrates how geospatial science tools like NDVI can assess environmental vulnerability and disaster impact, helping guide future planning, emergency response, and infrastructure resilience in a changing climate.

Keywords: EF-3 Tornado; Environmental Impact; Geospatial Analysis; Disaster Resilience; Vegetation change.

Logan McNeil, Daniel Chu and Rajendra Nath Dasari*


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Evaluating Changes in Contaminants of Emerging Concern in Municipal Wastewater Effluents Following Treatment Plant Upgrades

Contaminants of emerging concern (CEC) are known to affect aquatic organisms downstream of wastewater treatment plant effluent discharges. Studies in the Grand River watershed on the small-bodied, benthic rainbow darter (Etheostoma caeruleum) have shown altered gene expression, sex steroid levels, gonad size and expression of intersex (testis-ova) associated with wastewater outfalls. Due to these observed biological impacts, over $450M has been spent by the municipal government to upgrade the two major wastewater treatment plants (WWTP) within the Grand River watershed (Waterloo, Kitchener). In this study we monitored process upgrades at each of the WWTPs between 2010 to 2019 for a suite of chemicals including nutrients, CECs, hormones and total estrogenicity. Effluent samples for select CECs and total estrogenicity were analyzed by LC-MS/MS and yeast estrogen screen (YES) assay, respectively. Estrogenicity of the effluent declined rapidly after upgrades were completed. The removal of key CECs varied depending on their physiochemical properties. Although treatment process upgrades lead to greatly reduced environmental exposure to many CECs such as naproxen, some remain at relatively high concentrations (i. e. carbamazepine) that may continue to represent a risk to the environment.

Nivetha Srikanthan1 , Azar Fattahi1*, E. Katie McCann1 , Leslie M. Bragg1 , Hadi Dhiyebi1 , Diana M. Cardenas-Soraca1 , Pam Law2 , Dominika Celmer-Repin2 , Sonya Kleywegt3 , Wayne J. Parker1 and Mark R. Servos1


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Elimination of Urinary Fluoride in the Population of Diamaré in Relation to Water Contamination

Introduction: Fluorosis, also known as fluorine poisoning is a disease caused by the disruption of various metabolic pathways, one of which includes calcium metabolism implicated in dental and bone formation due to the replacement of calcium by fluoride ions in bone matrix. The aim of study was to determine the presence of fluorine of the population consuming water contaminated at the Diamaré Division.

Method: A cross sectional analytic study design in 7 villages at the Diamaré division from 1st December 2021 to 30th May 2022 was carried out. Participants who gave consent and filled the selection criteria were included. The socio-demographic characteristics, medical history, eating habits and clinical characteristics of the participants were obtained using a questionnaire. Samples of urine, blood of participants and water were collected for analysis at the Centre for Study and Control of Communicable Diseases at the Faculty of Medicine and Biomedical Sciences of the University of Yaoundé. Fluoride concentration in water and urine. Data entry and analysis was done using Epi info; Associations were derived from bivariate analysis.

Results: We had bore holes, wells and river as water sources used of water for drinking, cooking and household activities. 152 participants were recruited and the most common water source used was bore holes (N=94; 61.84.7%). Some used water from one source only; others from two sources or more. Majority had Joint pains (78.7%). Dental fluorosis accounted for 26%., bowed legs 4.7%, skeletal deformities 6%, immobilization of joints 41.3% and knocked knees 1.3%. A mean water fluoride concentration of 1.30 ±1.68mg/l ranging from 0.04-5.75mg/l was obtained from 30 samples of water collected while that of 2.89 ±2.87mg/l ranging from 0.05-14.35 mg/l was obtained from urine.

Conclusion: The majority of water sources (wells and boreholes) used by our study population for consumption are contaminated with fluoride which is eliminated in urine by the entire population.

Antoine Vayaraï MANAODA1*, SAMIRA Amadou2, YINYANG Jacques1, NGOULE Charles2, ETAME LOE Giselle2 and ADIOGO Dieudonné1


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Commentary Pathways and Therapeutic Targets of Ozone induced Lung Disease

Chronic exposure to ambient Ozone (O3) air pollution induces respiratory inflammation and hyperreactivity, emphysema and interstitial lung fibrosis. O3-induced oxidative stress causes epithelial barrier injury and cell death activating Toll-like receptors, DNA sensing pathways and inflammasomes with production of a range of inflammatory chemokines with a mixed phenotype of COPD and asthma. O3 exposure is often associated with other pollutants causing exacerbation leading to severe respiratory disease. Here, we review mechanisms and therapeutic targets to control O3-induced COPD-like disease.

Remo C. Russo1 and Bernhard Ryffel2,3*


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Heavy Metal Contamination in Seawater in Darsait, Azaibah and Seeb in Oman: An Assessment of Environmental Pollution

This study investigates heavy metal contamination in seawater and sediments in three coastal regions of Oman – Darsait, Azaibah and Seeb. In 2022, sample collections were made in subtidal ecosystems in these three areas, and the samples were analysed to assess the potential environmental impacts of treated wastewater. The study employed a comprehensive sampling strategy adhering to the Oman Environmental Impact Assessment (EIA) Guidelines to evaluate key parameters such as temperature, salinity, dissolved oxygen, and heavy metal concentrations see Appendix 1. Results indicate that the levels of most heavy metals contamination had not changed significantly since the baseline surveys in 2009 and 2012, but that some levels were still above EIA guidelines. Recommendations are made to reduce these levels, ensuring the protection of marine environments and humans while supporting industrial growth. This research contributes to our understanding of anthropogenic impacts on marine ecosystems in Oman and highlights the importance of regular monitoring and adaptive management practices.

Amran Al Kamzari1*, Sulaiman Al Shehhi1, Mohammed Al Kalbani1 and Tim Gray2


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Detecting Sources of Drinking Water Contamination Originated by Wildfires

The paper introduces a machine learning method of detecting multiple sources of water contamination caused by wildfire. The method includes changing the water flow regime, monitoring the time series of the contaminant concentration caused by regime changes, and associating the signature of the contaminant changes over time with sources locations. The contaminant signature from multiple sources starting at the moment of changing water velocity are defined by extending the approach for one contamination source. The intensity, location of each source, and diffusion coefficient are defined to satisfy the minimum square between monitoring and theoretical concentrations. The equations derived from the criteria of the best fit between experimental and modeling data are solved using the theory of hypernumbers. The initial values for hypernumber solutions are computed using the transient process of contaminant transport curve analysis. The defined in this paper algorithm can by used for detecting location of the arbitrary impurity in water network system.

Arkadiy Dantsker1*, Oscar Zhuk1 and Jane Brito1