Next Article in Journal
Global Distribution of Persistence of Total Electron Content Anomaly
Next Article in Special Issue
Effect of Human-Induced Land Disturbance on Subseasonal Predictability of Near-Surface Variables Using an Atmospheric General Circulation Model
Previous Article in Journal
Teleconnection of Regional Drought to ENSO, PDO, and AMO: Southern Florida and the Everglades
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Assessment of the Environmental and Societal Impacts of the Category-3 Typhoon Hato

1
City University of Hong Kong (Shenzhen) Research Institute, Shenzhen 518057, China
2
Guy Carpenter Asia-Pacific Climate Impact Center, School of Energy and Environment, City University of Hong Kong, Hong Kong 999077, China
3
Zhuhai Meteorological Bureau, Zhuhai 519000, China
4
Meteorological Bureau of Shenzhen Municipality, Shenzhen National Climate Observatory, Shenzhen 518040, China
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(6), 296; https://doi.org/10.3390/atmos10060296
Submission received: 4 April 2019 / Revised: 7 May 2019 / Accepted: 16 May 2019 / Published: 1 June 2019

Abstract

:
The destructiveness and potential hazards brought to the Pearl River Delta (PRD) by the category-3 typhoon Hato in 2017 have been studied. The results show that wind flow is one of the key parameters influenced by tropical cyclones. The observed wind at Shenzhen station changed from median southwesterly and calm northerly to strong easterly during the evolution of Hato as it approached the PRD and during landfall, respectively. The peak wind intensity at the surface level and a height of 300 m reached over 17 m s−1 and 30 m s−1, respectively. In Zhuhai, the area closest to the landfall location, the situ observation shows that the maximum wind and the maximum gust on 23 August 2017 reached 29.9 m s−1 and over 50 m s−1, respectively, which is a record-breaking intensity compared with the highest recorded intensity during tropical cyclone (TC) activity in Vicente in 2012. The maximum sea level during 23 August 2017, with an added influence from the storm surge and the astronomical tide, was found to be over 3.9 m to the west of Hong Kong. Extreme high temperature was also recorded on 22 August 2017 before the landfall, with 38.4, 38, and 36.9 °C of daily maximum temperature in Shenzhen, Macao, and Hong Kong, respectively. Based on the heat index calculated with the temperature record at Shenzhen’s station, the hot temperature hazard reached “danger” levels. On the other hand, a prominent air quality deterioration was observed on 21 August 2017. The concentrations rapidly increased to 1 time greater than those on the previous day in Hong Kong. The TC-induced sinking motion, continental advection, and less amount of cloud cover were observed before the landfall, and would be the possible factors causing the extreme high temperature and the poor air quality. This case study illustrates that the influences of Hato to the PRD were not only limited to their destructiveness during landfall, but also brought the extreme high temperature and poor air quality.

1. Introduction

Hato is one of the strongest tropical cyclones (TCs) to have made landfall and cause serious impacts to the Pearl River Delta (PRD) in recent years. According to government and media reports, Hato resulted in 24 dead or missing, over 800 injured, and a loss of over 6 billion U.S. dollars to the economy of Hong Kong, Macau, Zhuhai, and other places along its track. Direct impacts to the region included collapsed and damaged buildings, landslides, fallen trees, flooding, transportation difficulties, and the loss of many homes. The effects have been long-lasting, and recovery has been slow. It is one of the most destructive TCs on record in the PRD.
Historically, TCs have been extremely deadly. Serious TC-induced casualties and economic losses have frequently occurred. Some examples follow: Bhola in 1970 caused 30,000–50,000 deaths in Bangladesh; Nina brought about 171,000 deaths in 1975; and Nargis in 2008 led to 138,000 casualties in Myanmar. In China, casualties due to TCs in the past several decades have amounted to over 11,000, with 400 each year on average [1]. In fact, the number of TC-induced casualties has decreased slightly in the past several decades, thanks to increased efforts in natural disaster prevention and mitigation by the government [1]. However, many studies have found economic losses to be on the rise, associated with increasing coastal population, urbanization, and global warming [1,2,3,4,5]. Although studies have found no obvious trend in casualties, the importance of TC-induced destructiveness, even nowadays, should not be disregarded, whether in rural or urbanized regions, because of the continuing economic losses.
In addition to such direct and serious economic losses and casualties, other potential hazards brought about by TCs have been less discussed in previous studies. Hot weather and severe air pollution episodes are possibly related to TCs. According to the historical records of the Hong Kong Observatory (HKO), very hot weather occurs with an approaching TC [6,7]; examples are Soudelor in 2015, Fung-Wong in 2008, and Yancy in 1990. A TC’s peripheral sinking motion, or subsidence air, would lead to a rise in temperature with a small amount of cloud. Also, strong subsidence induced by peripheral circulations of TCs, such as Melor in 2003, can lead to adiabatic heating, which increases the temperature in the lower troposphere [8]. On the other hand, in a study of six summer pollution episodes between 1994 and 1999, tropical cyclones always occurred on the episode days [9]. Another study illustrated that a high concentration of particulate matter with an aerodynamic diameter ≤ 10 μm (PM10) and ozone (O3) in Hong Kong is likely to occur in association with a TC near Taiwan [10]. Some meteorological factors, including a sinking motion, less cloud cover, and continental flow, were observed in studies of air quality deterioration with TCs. The sinking motion would reduce the planetary boundary layer’s height, which favors the accumulation of particulate matter near emission sources in the PRD region [8]. During the day, strong solar radiation with less cloud cover could increase the ozone concentration with photochemical reactions [9]. At night, less cloud cover would enhance the radiative cooling, which leads to nocturnal temperature inversion and stagnant atmospheric conditions. This reduces the dispersion of pollutants [8]. The continental flow induced by TCs can enhance the horizontal advection of pollutants from upwind regions [8,9,10].
The PRD is one of the most developed urban centers in China and the world. It is an integrated industrial, commercial, financial, and logistical center in south China. The Chinese government recognizes the importance of the Guangdong–Hong Kong–Macao Greater Bay Area and enhancing the development of the region in the future. However, the potential hazards of hot weather and air pollution in the PRD will increase with future development and global warming [11,12]. Previous studies illustrate that the temperature has increased in Shenzhen much faster than in Hong Kong in recent decades, associated with its greater growth rates of urbanization and economy. Temperature increases in the PRD were simulated in the Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 scenarios from the Coupled Model Intercomparison Project Phase 5 (CMIP 5) [11]. The added effect of hot temperatures from urbanization, global warming, and TC-induced heating would bring about extreme hot weather that will enhance the incidence rate of heat-related diseases, reduce productivities [13,14,15], and lead to serious economic and health challenges in the future. However, previous studies mainly focus on the direct destructiveness, and focus less on the comprehensive influences of TCs. In this study, we summarize the meteorological and environmental influences of typhoon Hato on the PRD in order to provide a more comprehensive assessment of the influence of an intense TC on the PRD.

2. Data

a) Study Area
The PRD is a major contributor to the Gross Domestic Product of China. This highly populated region is also an industrial, commercial, high-technology, and innovative integration center, and, because it is included in the Guangdong–Hong Kong–Macao Greater Bay Area, it is key to the strategic planning of China’s development. It is located in a subtropical region, with generally wet summers and dry winters. The precipitation during summer is mainly due to the summer monsoon, associated with southwesterly wind from the Indian Ocean, cross-tropical air transported from the nearby Maritime Continent, and typhoons. On the other hand, extreme high temperatures have occurred more frequently in recent years and have become a potential health risk. Since this is one of the most densely and highly developed areas in China, air quality is of great concern. According to past records from the Hong Kong Environmental Protection Department (HKEPD), particulate matter (PM) has been one of the major pollutants in Hong Kong. With improvements undertaken by Hong Kong and cooperation among the cities of the Pearl River Delta, such as setting up emissions reduction targets, the concentration of PM10 has been reduced. However, in recent years, ozone has become one of the major pollutants in Hong Kong. It is associated with a photochemical reaction in the presence of sunlight and nitrogen oxides, mainly from vehicle exhaust, power plants, and industry. In fact, although emissions have been reduced, in some pollution episodes, many pollutant concentrations can rise to extremely high values because of atmospheric influence.
b) Data
In this study, the intensity and position of TCs were taken from the Joint Typhoon Warning Center (JTWC) at 6-hour intervals, a common practice in the study of TCs. In order to study meteorological influences during TC activity, a four-times-daily reanalysis data from the National Centers for Environmental Prediction and the National Center for Atmospheric Research (NCEP/NCAR Reanalysis 1) with a 2.5° × 2.5° horizontal resolution were adopted to illustrate the evolution of circulation in the western North Pacific (WNP) and South China. Also, local daily meteorological observations in the PRD collected from the Hong Kong Observatory (HKO), the Zhuhai Meteorological Dureau, and the Macao Meteorological and Geophysical Bureau were used as local observational data to demonstrate the local impact of Hato, as shown in Figure 1. In addition, meteorological data from the Meteorological Bureau of Shenzhen Municipality, obtained between 20 August 2017 and 24 August 2017, were used in this study, with an extremely high temporal and vertical spatial resolution, 10-second intervals, and uneven vertically distributed measurements from 10 m to 350 m above the ground. In the evolution of pollution, hourly air quality records from the HKEPD were used in this study.
c) Heat Index Equation
To consider a potential hazard due to the hot temperatures before a TC’s landfall, a heat index (HI) proposed by Lans P. Rothfusz [16] was used in this study. It is a simplified equation showing the physiological effects of a high temperature from extensive biometeorological studies by “apparent temperature” [17]. The detail of the simplified equation is shown below:
H I   =   42.379 + 2.04901523 T + 10.14333127 R 0.22475541 T R   6.83783 × 10 3 T 2      5.481717 × 10 2 R 2 + 1.22874 × 10 3 T 2 R + 8.5282 × 10 4 T R 2      1.99 × 10 6 T 2 R 2
where T is the dry bulb temperature (°F) and R is the relative humidity (%).

3. Evolution of Hato and Its Direct Destructive Meteorological Influences

Typhoon Hato, with category-3 intensity in the Saffir–Simpson Hurricane Wind Scale, is one of the strongest typhoons to approach and make landfall on the PRD in recent years. According to data from the JTWC during June to November (JJASON) since 1982, Hato is one of the strongest TCs to pass through the South China Sea (SCS) (10–35° N, 100–120° E), with a ranking in the 94th percentile historically. The maximum sustained wind reached 100 knots. Hato was classified as a Super Typhoon by the HKO, and it is the third strongest TC centered within 800 km of Hong Kong in the local historical record. The evolution of the moving trajectory of Hato, including its intensity, is shown in Figure 2. On 20 August 2017, a low-pressure system was established in the Western Pacific (WP) around 19.8° N, 127.0° E. It then passed though the Luzon Strait on 22 August 2017 and kept intensifying in association with the warm sea surface temperature (SST) in the SCS. On 23 August 2017, Hato rapidly intensified to a category 3 typhoon with winds of around 185 km per hour near its center when it was located close to the PRD, and it made landfall on the southern coast of Zhuhai on 23 August 2017 around noon local time (LT) in Hong Kong.
In terms of the direct destructive meteorological influences of Hato, local wind measurements at Shenzhen during the TC event are shown in Figure 3. The evolution of the local surface wind has an obvious change that is associated with the location of Hato. During 20–21 August 2017, although Hato was generated in the WP, the prevailing southerly or southwesterly wind in Shenzhen was still controlled by the Asian summer monsoon, rather than by Hato, as shown by local measurements, because Hato was weak and far away from Shenzhen at this time. On 22 August 2017, the TC enters the SCS, as shown in Figure 2.
An obvious difference in wind is observed compared to previous days. There was not only less proportional southerly or southwesterly wind observed on this day, but a dominant weaker northwesterly or northerly wind was observed, as shown by the wind rise in Figure 3. According to the measurements, the wind speed for more than half of the day was under 1 m s−1, providing very weak ventilation in the atmosphere, and associated with the TC’s peripheral circulation, while there was a sinking motion in the atmosphere and a calm wind at the surface level [8].
During 23 August 2017, Hato rapidly intensified to a category-3 typhoon, associated with the warm SST in the SCS. Due to the intensification and approach of Hato, a dramatic strengthening of an easterly prevailing wind, with a mean speed of over 4 m s−1, and a mean speed of 10–20 m s−1 during the landfall of Hato, was observed in Shenzhen. Comparable results were obtained at some coastal stations relative to the Shenzhen station, such as in King’s Park and Waglan Island, with a mean speed of over 6 m s−1 and 15 m s−1, respectively, compared with the daily mean wind speed of less than 2.5 m s−1 and 4.5 m s−1, respectively, that was observed the previous day. Although Shenzhen is located inland compared to King’s Park and Waglan Island, it also experienced the power of Hato. Wind and pressure measurements with a very high temporal resolution at Shenzhen are illustrated in Figure 4. Along the time series, it is observed that the TC-induced intensified local wind, or destructiveness, appears mainly between 0900 and 1300 LT. During this period, the pressure drops to about 950 mb near the surface, which corresponds to landfall and the closest distance to the PRD. Although surface wind intensity can represent part of the TC’s destructiveness to the whole of Shenzhen, the vertical gradient of the wind speed should also be considered to compensate for the reduced intensity by the complex terrain, especially in a dense urban area. Figure 4 shows that the wind speed increases with height. The maximum gusts during this period at 10 m, 50 m, 100 m, and 300 m reached more than 17 m s−1, 24 m s−1, 26 m s−1, and 30 m s−1, respectively. On the other hand, an obvious change in wind direction is illustrated in Figure 4b. From 0200 to 0700 LST, the wind is calm and has no obvious direction in Shenzhen. With the approach of Hato, the wind direction changes, associated with its distance and direction relative to the PRD. At 0800 LST, a northerly wind was observed and intensified in the upper level, and such changes subsequently started to appear at the surface. The northerly wind changed to the strongest east–northeasterly wind at 1200 LST, and then finally became a median southeasterly wind. In Zhuhai, one of the cities closest to the landfall location of Hato, the 10-min maximum wind reached 29.9 m s−1, and the maximum gust reached over 50 m s−1 in the measurement, compared to the previous highest record of 26.9 m s−1 and 36.4 m s−1 in maximum wind and maximum gust, respectively, during the TC activity in Vicente in 2012.
In terms of the local destructiveness in the PRD, huge areas of destruction were reported in Hong Kong, Macau, and Zhuhai, which were the closest to the TC’s landfall. A total of 16 fatalities were reported in Macau and Zhuhai. In addition to many of the typical TC-related accidents, such as landslides and falling trees, many windows were broken by a strong wind on 23 August 2017. In Zhuhai, according to the official reports from the government, over 700,000 people were affected by the TC event, in which more than 90,000 people had to be evacuated, 34 buildings were collapsed, more than 11,000 buildings were damaged, and over 8000 hectares of agricultural area were damaged. Nevertheless, flooding was a major cause of deaths and injuries due to drowning and electrical malfunctions, associated with the additive effect of rainfall from the storm, the storm surge, and the astronomical tide. HKO records indicate that the maximum sea level during 23 August 2017 was as high as that from all available stations during the TC’s passage, 3.91 m and 4.56 m, which is comparable to the highest records at Shek Pik station and Tsim Bei Tsui station (located in southwest and northwest Hong Kong, respectively).

4. Temperature Extremes before the TC’s Landfall

In addition to the direct destructiveness of Hato as reported by the media and the government, other meteorological influences of the storm were felt. One of potential public health risks associated with TC activity is extreme high temperature, which was documented by the HKO, and it was also observed before Hato made landfall in this study. Figure 5 shows the evolution of temperature, the sinking motion, and surface wind during Hato’s approach. It can be observed that the PRD was suffering from high surface temperatures and a sinking motion in the afternoon during the period 20 August 2017 to 22 August 2017. The evolution of the temperature at Shenzhen is shown in Figure 6. The daily maximum temperatures before the TC’s landfall, from 20 August 2018 to 22 August 2018, are 34.9 °C, 36.5 °C, and 38.4 °C, respectively. Similarly, the temperatures in the nearby regions Hong Kong and Macau increased from 33.4 °C to 36.9 °C, and from 33.1 °C to 38 °C, respectively. The temperature increases during this period can be explained by the sinking motion, adiabatic warming, horizontal advection, and cloud cover decreases associated with the approach of Hato.
Figure 7 illustrates the evolution of the potential temperature and vertical motion during the period 19 August 2017 to 23 August 2017 in the lower atmosphere. The potential temperature represents the near-surface temperature when an air mass at a certain pressure level is adiabatically brought to the ground level. Both the lower-level potential temperature and the sinking motion were strengthened during the period 20 August 2017 to 22 August 2017, which can lead to temperature increases at the surface. In addition, a regional-scale northwesterly wind was observed on 22 August 2017, which enhanced the temperature advection from the northwestern area to Shenzhen, Hong Kong, and Macau. Furthermore, the local daily mean cloud cover faction recorded by the HKO during the period 20 August 2017 to 21 August 2017 was 29% and 42%, respectively, which is much lower than the monthly mean of 70%. Because of this, the region experienced strong radiation forcing, which is also one of the factors that contributed to the temperature extreme in this case study.
The heat index based on the temperature at 1-min intervals at Shenzhen station during the period 20 August 2017 to 22 August 2017 is shown in Figure 8. Obviously, the heat index was increasing during the period. During 20 August 2017 and 21 August 2017, extreme caution and danger warnings were issued, while, on 22 August 2017, a danger warning was issued. The evolution of the heat index during the storm event indicates that extreme hot weather can be a potential hazard and should not be disregarded.

5. Occurrence of a Serious Pollution Episode in the PRD

With the influence of Hato on the local weather in the PRD, the air quality in the region undoubtedly underwent an obvious change in response to TC-induced meteorological variations. In boreal summer, better air quality and visibility in Hong Kong is observed [18,19,20]. The southerly or southwesterly prevailing wind and the major rainfall period, as characteristics of summer in the PRD that are controlled by the summer monsoon, can reduce the outflow of continental ambient air pollutants and favor the dispersion of local pollutants. However, a serious and rapid deterioration of air quality was observed just before the TC’s landfall, as shown in Figure 9. The time-series of pollutant concentrations from the Mong Kok, Sham Shui Po, and Tap Mun stations, respectively representing roadsides, general urban environments, and rural environments in Hong Kong, illustrates the influence of Hato. Generally, local characteristics of pollutants can also be observed in the time-series. The PM10 at the rural, general, and roadside stations has similar levels and variations, which shows that the local particulate emissions are lower compared with those of other pollutants. For nitrogen dioxide (NO2) and nitrogen oxides (NOX), the highest (lowest) concentration was observed at the roadside (rural) station, because these pollutants are emitted mainly by transportation sources in Hong Kong. The concentration of ozone, a secondary pollutant, was highest (lowest) at the rural (roadside) station and increased (reduced) with the volatile organic compounds (VOCs) (NO) concentration.
During the period 19 August 2017 to 20 August 2017, the air quality was good to medium, with lower concentrations of all pollutants. However, when the TC approached the PRD and entered the SCS, its influence was observed in the pollution levels. In fact, many previous studies have also illustrated the influence of typhoons on air quality [8,10,21,22,23]. During 21 August 2017, the pollutant concentrations rapidly increased. Compared to the concentrations the previous day, the daily mean PM10 concentrations increased from 22.1 to 39.1 μg m−3 at the Tap Mun station, from 15.8 to 40.5 μg m−3 at the Sham Shui Po station, and from 17.9 to 40.5 μg m−3 at the Mong Kok station, which are almost double the concentrations of the previous day. The outflow of continental pollutants and weakening of the pollutant dispersion respectively associated with the norther-westerly wind and the sinking motion would be the possible factors. Similar to the PM10, NO2 rapidly increased from 41.3 to 78.5 μg m−3, and from 71.5 to 130.8 μg m−3, at the general urban and roadside stations, respectively, being double the values of previous days. However, the source of this pollutant may be different compared with PM10. The concentration at Tap Mun was similar to that of previous days, which shows that some NO2 comes from local emissions. Similar variation was observed in NOX concentrations: from 80.3 μg m−3 to 118.2 μg m−3 and from 168.2 μg m−3 to 241.3 μg m−3 at the general urban and roadside stations, respectively. According to the HKEPD, the local emitted NOX comes from traffic and lasts for only very short periods, so the rapid increase in NOX is less associated with regional transport.
The concentration of O3 rapidly increased on 21 August 2017. This increase may have resulted from TC-induced meteorological conditions and regional emissions of O3 precursors. During the approach of TCs, an anomalous lower relative humidity and less cloud cover upwind of Hong Kong, along with continental transport, have been observed in previous studies, and these factors can enhance O3 formation with NOX, CO, and VOCs in remote regions and regional transport to the PRD. On the other hand, many studies have also found that the formation of O3 in South China and Hong Kong is VOC-limited [24,25,26]. The observed high temperatures at the surface just before landfall would be able to increase surface VOC emissions from both biogenic and anthropogenic sources [27,28,29], which would enhance the regional contribution to a rapid O3 increase.

6. Discussion and Conclusions

The destructiveness and potential health risks of the category-3 tropical cyclone Hato were comprehensively investigated compared to traditional studies of the direct destructiveness of TCs that have made landfall. The direct destructiveness, economic losses, and casualties of Hato in Hong Kong, Macau, and Zhuhai were reported on by the media and the government. However, the potential hazards of high temperatures and air quality deterioration before a TC’s landfall should not be disregarded. In this study, the environmental and societal impacts of Hato during the period 20 August 2017 to 23 August 2017 was found to have three components: direct destructiveness, extreme temperatures, and pollution episodes. Direct destructiveness, including high wind intensity, precipitation, and storm surge, caused serious economic loss and casualties in the PRD.
In addition to the direct destructiveness of Hato, the extreme high temperature and pollution episode were observed before Hato’s landfall. Under the influence of Hato’s circulation before its landfall, noticeable temperature increases occurred, from 34.9 °C to 38.4 °C, from 33.4 °C to 36.9 °C, and from 33.1 °C to 38 °C in Shenzhen, Hong Kong, and Macau, respectively, which caused rare and extreme hot weather in the PRD. Moreover, two major pollutants, PM10 and O3, showed a prominent increase in Hong Kong. The concentrations rapidly increased on 21 August 2017, during which the pollutant concentrations were 2 times as much as those on the previous day in in Hong Kong. The sinking motion, continental advection and the less cloud cover would be possible factors causing hot weather and pollution episodes before it’s landfall. In fact, Chow et. al. [10] found that when TC locates at the east of Hong Kong, PM10 and O3 would increase. Although the mechanism of high temperature induced by TCs in the PRD is still not clear, we expect that the TC locations and the TC intensities would be highly associated with occurrences of extreme high temperatures and pollution episodes. When a TC at the east of the PRD, it would be able to induce northwesterly, northerly or northeasterly continental flow. Coupled with the sinking motion and less cloud cover, those meteorological conditions would favor high temperature events and pollutions episodes.
This study highlights that the influences of TC Hato on the environment and society are not limited only to the direct destructiveness during landfall, but also leading to the extreme temperature event and the pollution episode before landfall. The detailed mechanism of those hazards associated with TCs in the PRD need to be studied in the future, in order to find out the TC’s properties which favor extreme temperature events and pollution episodes.

Author Contributions

Conceptualization, W.Z.; Data curation, M.W. and L.L.; Formal analysis, E.C.H.C.; Funding acquisition, W.Z.; Methodology, M.Y.T.L. and P.K.Y.C.; Project administration, W.Z.

Funding

This research was funded by the National Natural Science Foundation of China (41675062), Research Grants Council of the Hong Kong Special Administrative Region, China (CityU 11335316), and a City University of Hong Kong Strategic Research Grant (7005128).

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; and in the decision to publish the results.

References

  1. Xiao, F.; Xiao, Z. Characteristics of tropical cyclones in China and their impacts analysis. Nat. Hazards 2010, 54, 827–837. [Google Scholar]
  2. Li, R.C.Y.; Zhou, W.; Shun, C.M.; Lee, T.C. Change in Destructiveness of Landfalling Tropical Cyclones over China in Recent Decades. J. Clim. 2017, 30, 3367–3379. [Google Scholar] [CrossRef]
  3. Pielke, R.A., Jr.; Gratz, J.; Landsea, C.W.; Collins, D.; Saunders, M.A.; Musulin, R. Normalized hurricane damage in the United States: 1900–2005. Nat. Hazards Rev. 2008, 9, 29–42. [Google Scholar] [CrossRef]
  4. Emanuel, K. Increasing destructiveness of tropical cyclones over the past 30 years. Nature 2005, 436, 686–688. [Google Scholar] [CrossRef]
  5. Zhang, Q.; Wu, L.; Liu, Q. Tropical cyclone damages in China 1983–2006. Bull. Am. Meteorol. Soc. 2009, 90, 489–496. [Google Scholar] [CrossRef]
  6. Hong Kong Observatory Record-Breaking High Temperature. Available online: https://www.weather.gov.hk/press/SP/pre20150808.htm (accessed on 6 May 2019).
  7. Hong Kong Observatory Hot Weather Ahead of Approaching Tropical Cyclone. Available online: https://www.hko.gov.hk/education/edu01met/01met_tropical_cyclones/ele_typhoon2_e.htm (accessed on 6 May 2019).
  8. Feng, Y.; Wang, A.; Wu, D.; Xu, X. The influence of tropical cyclone Melor on PM10 concentrations during an aerosol episode over the Pearl River Delta region of China: Numerical modeling versus observational analysis. Atmos. Environ. 2007, 41, 4349–4365. [Google Scholar] [CrossRef]
  9. Lee, Y.; Calori, G.; Hills, P.; Carmichael, G. Ozone episodes in urban Hong Kong 1994–1999. Atmos. Environ. 2002, 36, 1957–1968. [Google Scholar] [CrossRef]
  10. Chow, E.C.H.; Li, R.C.Y.; Zhou, W. Influence of Tropical Cyclones on Hong Kong Air Quality. Adv. Atmos. Sci. 2018, 35, 1177–1188. [Google Scholar] [CrossRef]
  11. Chan, H.S.; Tong, H.W. Temperature Projection for Hong Kong in the 21st Century using CMIP5 Models. In Proceedings of the 28th Guangdong-Hong Kong-Macao Seminar on Meteorological Science and Technology, Hong Kong, China, 13–15 January 2014; pp. 13–15. [Google Scholar]
  12. Li, L.; Chan, P.; Wang, D.; Tan, M. Rapid urbanization effect on local climate: Intercomparison of climate trends in Shenzhen and Hong Kong, 1968-2013. Clim. Res. 2015, 63, 145–155. [Google Scholar] [CrossRef]
  13. Yi, W.; Chan, A. Effects of Heat Stress on Construction Labor Productivity in Hong Kong: A Case Study of Rebar Workers. Int. J. Environ. Res. Public Health 2017, 14, 1055. [Google Scholar] [CrossRef]
  14. Sahu, S.; Sett, M.; Kjellstrom, T. Heat Exposure, Cardiovascular Stress and Work Productivity in Rice Harvesters in India: Implications for a Climate Change Future. Ind. Health 2013, 51, 424–431. [Google Scholar] [CrossRef] [Green Version]
  15. Chan, A.P.C.; Yi, W. Heat stress and its impacts on occupational health and performance. Indoor Built Environ. 2016, 25, 3–5. [Google Scholar] [CrossRef] [Green Version]
  16. Rothfusz, L.P. The Heat Index Equation (or, More Than You Ever Wanted to Know About Heat Index), Technical Attachment, SR/SSD 90–23; NWS Southern Region Headquarters: Fort Worth, TX, USA, 1990. [Google Scholar]
  17. Steadman, R.G. The Assessment of Sultriness. Part I: A Temperature-Humidity Index Based on Human Physiology and Clothing Science. J. Appl. Meteorol. 1979, 18, 861–873. [Google Scholar] [CrossRef] [Green Version]
  18. Zhou, W.; Li, R.C.Y.; Chow, E.C.H. Intraseasonal variation of visibility in Hong Kong. Adv. Atmos. Sci. 2017, 34, 26–38. [Google Scholar] [CrossRef]
  19. Kim, J.-S.; Zhou, W.; Cheung, H.N.; Chow, C.H. Variability and risk analysis of Hong Kong air quality based on Monsoon and El Niño conditions. Adv. Atmos. Sci. 2013, 30, 280–290. [Google Scholar] [CrossRef]
  20. Cheng, S.; Lam, K.-C. An analysis of winds affecting air pollution concentrations in Hong Kong. Atmos. Environ. 1998, 32, 2559–2567. [Google Scholar] [CrossRef]
  21. Lee, Y.C.; Savtchenko, A. Relationship between Air Pollution in Hong Kong and in the Pearl River Delta Region of South China in 2003 and 2004: An Analysis. J. Appl. Meteorol. Climatol. 2006, 45, 269–282. [Google Scholar] [CrossRef]
  22. Yang, J.X.; Lau, A.K.H.; Fung, J.C.H.; Zhou, W.; Wenig, M. An air pollution episode and its formation mechanism during the tropical cyclone Nuri’s landfall in a coastal city of south China. Atmos. Environ. 2012, 54, 746–753. [Google Scholar] [CrossRef]
  23. Wu, D.; Tie, X.; Li, C.; Ying, Z.; Kai-Hon Lau, A.; Huang, J.; Deng, X.; Bi, X. An extremely low visibility event over the Guangzhou region: A case study. Atmos. Environ. 2005, 39, 6568–6577. [Google Scholar] [CrossRef]
  24. Zhang, Y.H.; Hu, M.; Zhong, L.J.; Wiedensohler, A.; Liu, S.C.; Andreae, M.O.; Wang, W.; Fan, S.J. Regional Integrated Experiments on Air Quality over Pearl River Delta 2004 (PRIDE-PRD2004): Overview. Atmos. Environ. 2008, 42, 6157–6173. [Google Scholar] [CrossRef]
  25. Zhang, J.; Wang, T.; Chameides, W.L.; Cardelino, C.; Kwok, J.; Blake, D.R.; Ding, A.; So, K.L. Ozone production and hydrocarbon reactivity in Hong Kong, Southern China. Atmos. Chem. Phys. 2007, 7, 557–573. [Google Scholar] [CrossRef] [Green Version]
  26. Lee, Y.C.; Shindell, D.T.; Faluvegi, G.; Wenig, M.; Lam, Y.F.; Ning, Z.; Hao, S.; Lai, C.S. Increase of ozone concentrations, its temperature sensitivity and the precursor factor in South China. Tellus B: Chem. Phys. Meteorol. 2014, 66, 23455. [Google Scholar] [CrossRef]
  27. Churkina, G.; Kuik, F.; Bonn, B.; Lauer, A.; Grote, R.; Tomiak, K.; Butler, T.M. Effect of VOC Emissions from Vegetation on Air Quality in Berlin during a Heatwave. Environ. Sci. Technol. 2017, 51, 6120–6130. [Google Scholar] [CrossRef] [Green Version]
  28. Rubin, J.I.; Kean, A.J.; Harley, R.A.; Millet, D.B.; Goldstein, A.H. Temperature dependence of volatile organic compound evaporative emissions from motor vehicles. J. Geophys. Res. 2006, 111. [Google Scholar] [CrossRef] [Green Version]
  29. Sawyer, R.F.; Harley, R.A.; Cadle, S.H.; Norbeck, J.M.; Slott, R.; Bravo, H.A. Mobile sources critical review: 1998 NARSTO assessment. Atmos. Environ. 2000, 34, 2161–2181. [Google Scholar] [CrossRef]
Figure 1. Locations of the monitoring stations in the Pearl River Delta (PRD) used in the study. The black dots, blue triangles, and red diamonds represent the meteorological stations, the tide gauge stations, and the air quality monitoring stations, respectively.
Figure 1. Locations of the monitoring stations in the Pearl River Delta (PRD) used in the study. The black dots, blue triangles, and red diamonds represent the meteorological stations, the tide gauge stations, and the air quality monitoring stations, respectively.
Atmosphere 10 00296 g001
Figure 2. Evolution of the trajectory and intensity (knots) of tropical cyclone (TC) Hato from 20 August 2017 to 24 August 2017, according to the JTWC. Triangles represent the time at 00 Universal Time Coordinated (UTC). The maximum intensity of Hato is denoted as a square, which is at 03 UTC.
Figure 2. Evolution of the trajectory and intensity (knots) of tropical cyclone (TC) Hato from 20 August 2017 to 24 August 2017, according to the JTWC. Triangles represent the time at 00 Universal Time Coordinated (UTC). The maximum intensity of Hato is denoted as a square, which is at 03 UTC.
Atmosphere 10 00296 g002
Figure 3. Wind measurements from Shenzhen at an altitude of 10 m from 20 August 2017 to 23 August 2017 LST.
Figure 3. Wind measurements from Shenzhen at an altitude of 10 m from 20 August 2017 to 23 August 2017 LST.
Atmosphere 10 00296 g003
Figure 4. Time series of (a) pressure (mb) at an altitude of 300 m and wind speed (m s−1) as a 1-min average from 20 August 2017 to 24 August 2014 LST, and (b) the vertically interpolated wind profile at 30-min time intervals during the period from 02:00 to 20:00 LST on 23 August 2017, measured at Shenzhen station. The red lines represent the peak wind speed periods between 0900 and 1300 LST, and the blue lines illustrate the periods of the wind profile illustrated in (b).
Figure 4. Time series of (a) pressure (mb) at an altitude of 300 m and wind speed (m s−1) as a 1-min average from 20 August 2017 to 24 August 2014 LST, and (b) the vertically interpolated wind profile at 30-min time intervals during the period from 02:00 to 20:00 LST on 23 August 2017, measured at Shenzhen station. The red lines represent the peak wind speed periods between 0900 and 1300 LST, and the blue lines illustrate the periods of the wind profile illustrated in (b).
Atmosphere 10 00296 g004
Figure 5. Evolution of (a) surface temperature (K), (b) wind field (vector, m s−1), and omega (color shading, Pa/s) at 0600 UTC within South China and the South China Sea (SCS) during the period 20 August 2017 to 22 August 2017. The black dots and lines shown in (a) denote the location of TC Hato at 00, 06, 12, and 18 UTC and the whole of TC Hato’s track, respectively.
Figure 5. Evolution of (a) surface temperature (K), (b) wind field (vector, m s−1), and omega (color shading, Pa/s) at 0600 UTC within South China and the South China Sea (SCS) during the period 20 August 2017 to 22 August 2017. The black dots and lines shown in (a) denote the location of TC Hato at 00, 06, 12, and 18 UTC and the whole of TC Hato’s track, respectively.
Atmosphere 10 00296 g005
Figure 6. Evolution of the local temperature in Shenzhen at different heights during the period 20 August 2017 to 24 August 2017.
Figure 6. Evolution of the local temperature in Shenzhen at different heights during the period 20 August 2017 to 24 August 2017.
Atmosphere 10 00296 g006
Figure 7. Spatial average (20–25° N, 110–115° E) of the vertical potential temperature profile (contour lines, degree K) and omega (colored shading, Pa/s) during the period 19 August 2017 to 23 August 2017 at 06 UTC with a daily interval.
Figure 7. Spatial average (20–25° N, 110–115° E) of the vertical potential temperature profile (contour lines, degree K) and omega (colored shading, Pa/s) during the period 19 August 2017 to 23 August 2017 at 06 UTC with a daily interval.
Atmosphere 10 00296 g007
Figure 8. The calculated Heat index (°C) based on the observed temperature and relative humidity at Shenzhen station at a height of 50 m above the ground. The blue, orange, and red dots represent the 1-min average of the heat index on 20 August 2017, 21 August 2017, and 22 August 2017, respectively.
Figure 8. The calculated Heat index (°C) based on the observed temperature and relative humidity at Shenzhen station at a height of 50 m above the ground. The blue, orange, and red dots represent the 1-min average of the heat index on 20 August 2017, 21 August 2017, and 22 August 2017, respectively.
Atmosphere 10 00296 g008
Figure 9. Evolution of the concentration (μg m−3) of PM10, NO2, NOX, and O3 at the Tap Mun, Sham Shui Po, and Mong Kok stations during the period 19 August 2017 to 23 August 2017 LST. Discontinuous lines represent missing data during the study period.
Figure 9. Evolution of the concentration (μg m−3) of PM10, NO2, NOX, and O3 at the Tap Mun, Sham Shui Po, and Mong Kok stations during the period 19 August 2017 to 23 August 2017 LST. Discontinuous lines represent missing data during the study period.
Atmosphere 10 00296 g009

Share and Cite

MDPI and ACS Style

Chow, E.C.H.; Wen, M.; Li, L.; Leung, M.Y.T.; Cheung, P.K.Y.; Zhou, W. Assessment of the Environmental and Societal Impacts of the Category-3 Typhoon Hato. Atmosphere 2019, 10, 296. https://doi.org/10.3390/atmos10060296

AMA Style

Chow ECH, Wen M, Li L, Leung MYT, Cheung PKY, Zhou W. Assessment of the Environmental and Societal Impacts of the Category-3 Typhoon Hato. Atmosphere. 2019; 10(6):296. https://doi.org/10.3390/atmos10060296

Chicago/Turabian Style

Chow, Eric C. H., Min Wen, Lei Li, Marco Y. T. Leung, Paxson K. Y. Cheung, and Wen Zhou. 2019. "Assessment of the Environmental and Societal Impacts of the Category-3 Typhoon Hato" Atmosphere 10, no. 6: 296. https://doi.org/10.3390/atmos10060296

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop