Spatial-Temporal Pattern Changes of UTCI in the China-Pakistan Economic Corridor in Recent 40 Years

Zeng, Di; Wu, J.; Mu, Yaqiong; Deng, Mingshan; Wei, Yanfeng; Sun, Weibing

doi:10.3390/atmos11080858

Cited by 36 publications

(21 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study of climate comfort is also of great significance to architectural design [15], public health [16], and tourism behavior [17]. The research on climate comfort evaluation has produced more than 160 evaluation indices in the past 50 years, including the physiological equivalent temperature (PET) [18,19], Universal Thermal Climate Index (UTCI) [20,21], Climate-Tourism/Transfer-Information Scheme (CTIS) [22,23], and Tourism Climate Index [24,25]. These indexes have their own limitations; they do not all take into account the adaptation of the human body to the environment [26][27][28], include an incomplete consideration of meteorological factors [29,30], or the clothing problem for tourists is not considered [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China

Jun

Wang

2021

Atmosphere

View full text Add to dashboard Cite

The tourism comprehensive climate comfort index (TCCI) was used to evaluate the tourism climate comfort in Henan Province in the last 61 years, and its future development trend is predicted. The results showed that the temporal variation of the TCCI had a “double peak” type (monthly variation), and an overall comfort improvement trend (interannual variation). The change of tourism climate comfort days was similar to the change of the index, especially in the months with a low comfort level. In space, the distribution of the TCCI gradually increased from northeast to southwest, and the area with a high comfort level also increased over time. Meanwhile, it also showed the spatial distribution of months with a low comfort level, which provides reliable information for tourists to use when choosing tourist destinations across all periods of the year. The TCCI was classified by hierarchical classification, and principal components were extracted to explore the main climate factors controlling different types of TCCIs and the relationship between them, and large-scale atmospheric–oceanic variability. According to the temporal change trend and correlation, the long-term change trend of tourism climate comfort was predicted, which will provide a scientific basis for tourism planners to choose tourist destinations.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China

Jun

Wang

2021

Atmosphere

View full text Add to dashboard Cite

show abstract

“…PT, PET, SET, WCI, WCT, Humidex, HI, PST and many others) have been listed and discussed by Epstein and Moran (2006), Błażejczyk et al (2012) andGrigorieva (2017). Temporal and spatial variability is one of the essential features of mountainous climate while people experience frequent changes of weather during a stay in mountains as reported by Zeng et al (2020) for mountain regions of China-Pakistan border. Humans must adapt to changing weather stimuli.…”

Section: Introductionmentioning

confidence: 99%

Thermal stress in selected mountain system in Central and Eastern Europe – initial research based on UTCI characteristics

et al. 2021

View full text Add to dashboard Cite

Mountain areas create specific features of local climates (by modification of air circulation, insolation, air temperature, precipitation, wind regime) and greatly affect ambient weather conditions which influence different kinds of human (climbing, skiing, walking, etc.). However, till now only few studies of human bioclimate in individual mountain ridges in Europe were done. The aim of the present study is to assess thermal stress features represented by Universal Thermal Climate Index (UTCI) in nine mountain systems in Central and Eastern Europe. 37 meteorological stations located at altitudes of 237-3580 m above sea level were considered. The data represent midday observational term and cover the period 2000-2017. Mean, highest and lowest annual thermal stress values and annual frequency of cold and heat stress days are analysed The conducted studies have demonstrated that in the examined mountain systems thermal stress conditions are dependent (though to a various extent) mostly on altitude (UTCI values and heat stress days decrease and number of cold stress days rise significantly due to increase of altitude). However, impacts of latitude and longitude is well seen only in altitude belt of 300-1000 m a.s.l.

show abstract

“…However, as bioclimatic indicators require the input of a wide range of meteorological data and their preparation and calculation is timeconsuming, they are not frequently analysed. So far only few studies have presented long-term historical changes in UTCI and many of them concern Poland (Okoniewska & Więcław, 2013;Błażejczyk et al, 2015;Kuchcik, 2017;Owczarek, 2019;Wu et al, 2019;Dobek et al, 2020;Tomczyk & Owczarek 2020;Zeng et al, 2020). Lastly, di Napoli et al (2020) have developed UTCI time series as a sequence of spatial grids at 0.25° resolution (approximately 31 km at the equator) and 1 hour intervals for the period 1981-2019.…”

Section: Introductionmentioning

confidence: 99%

The stimuli of thermal environment defined according to UTCI in Poland

2021

View full text Add to dashboard Cite

The assessment of thermal stress stimuli in Poland was based on the Universal Thermal Climate Index (UTCI). Daily values of UTCI at 24 stations selected to represent the whole area of Poland at 12:00 UTC were calculated over the period 1951-2018. Various UTCI characteristics, i.e., spatial averages of daily, monthly and annual values, daily spatial contrasts (i.e., the difference between daily highest and lowest UTCI values) were defined in each of 8 bioclimatic regions of Poland. Ten-year trends for UTCI and spatial contrast values were counted and their statistical significance was analysed. A statistically significant increase in UTCI values was found in all the regions of Poland. However, contrasts in thermal stress both for Poland as a whole and in most of the regions decreased significantly, especially in the north-east of Poland, the country’s coldest region. This indicates a reduction in the stimuli of thermal environment in Poland and in most of the individual regions.

show abstract

Spatial-Temporal Pattern Changes of UTCI in the China-Pakistan Economic Corridor in Recent 40 Years

Cited by 36 publications

References 33 publications

Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China

Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China

Thermal stress in selected mountain system in Central and Eastern Europe – initial research based on UTCI characteristics

The stimuli of thermal environment defined according to UTCI in Poland

Contact Info

Product

Resources

About