Climate Comfort Index

2019 ◽  
pp. 89-89
Keyword(s):  
Comfort Index ◽  
Climate Comfort

scholarly journals KARAKTERISTIK DAN KENYAMANAN IKLIM LOKASI WISATA BERBASIS ALAM DI ECO-PARK ANCOL, KEBUN RAYA BOGOR DAN KEBUN RAYA CIBODAS

2019 ◽  
Vol 15 (2) ◽  
pp. 240
Author(s):  
Nofi Yendri Sudiar ◽  
Yonny Koesmaryono ◽  
Perdinan Perdinan ◽  
Hadi Susilo Arifin
Keyword(s):  
Wind Speed ◽  
Tropical Rainforest ◽  
Climate Classification ◽  
Botanical Gardens ◽  
Comfort Index ◽  
Visitor Perceptions ◽  
Type C ◽  
Effective Temperatures ◽  
The Tropics ◽  
Climate Comfort

This research explores the characteristics and comfort of climate in nature-based tourism areas in Ancol Eco-Park (EPA) (3masl), Bogor Botanical Gardens (KRB)(260 masl) and Cibodas Botanical Gardens (KRC) (1340 masl). Climate characteristics use the Schmidt-Ferguson and Koppen classifications. Calculation of climate comfort scores using TCI and HCI methods and modifying the thermal aspects. In addition to surveys with questionnaires, measurements of temperature, humidity and wind speed were carried out in all three regions simultaneously. Climate classification according to Schmidt-Ferguson obtained by KRB is type A climate, EPA and KRC are type C climate. Classification according to Koppen, the three regions include the climate of the tropical rainforest namely EPA (Am), KRB and KRC (Af). The vegetation component dominates the three tourist areas with a percentage of over 60% of the tourist areas. The climate comfort index based on calculations results in a comfortable KRC area throughout the year while EPA and KRB are comfortable in the dry season. Comparison of comfort index based on calculations with visitor perceptions results in thermal aspects for the tropics needing to be modified. From 12:00-12:59 WIB to 13:00-13:59 WIB, the most uncomfortable hours of the day. Temperature intervals with comfortable categories are 25.2°C - 29.0°C or effective temperatures between 20.5°C - 24.6°C.

scholarly journals Tourism Climate Comfort Index (TCCI) – An attempt to evaluate the climate comfort for tourism purposes: the example of Serbia

2016 ◽  
Vol 18 (3) ◽  
pp. 482-493 ◽  
Keyword(s):  
Statistical Data ◽  
Air Humidity ◽  
Comfort Index ◽  
Tourist Destinations ◽  
Climate Parameters ◽  
Air Temperatures ◽  
Mathematical Correlation ◽  
Relative Air Humidity ◽  
Tourism Climate ◽  
Climate Comfort

<div> <p>This paper proposes one new attempt to formulate a mathematical approach to climate parameters in the context of their complex implications for tourist activities through the tourism climate comfort index (TCCI). This paper also aims to formulate an original and optimal mathematical correlation between readily obtainable climate parameters (mean monthly air temperature, monthly amplitude of air temperatures, monthly insolation, average monthly relative air humidity and the number of rainy days), which results in values of the TCCI. Simultaneously, this index will provide the values correspondent to the values of air temperatures (&deg;C), which represents a comparative baseline understandable equally for tourists, tourism planners and managers. The example of Serbia as a mainland country in the south-east of Europe was used to apply the proposed methodology. The spatial-temporal variability of TCCI is formulated on basis of data for the period 1961-2000 while for testing model was used selected period 2001-2010 on the sample of 26 meteorological stations distributed all around Serbia. For this purpose a standard statistical techniques were applied and ArcGIS software was used for analyze of the variability of the TCCI in relation to the altitude, which is of particular importance for the development of tourism in the mountains. Checking variability of the index was carried out in relation to statistical data about number of tourists on the three most visited tourist destinations which are of importance for the development of urban, mountain and spa tourism, the leading forms of tourism activities on the territory of Serbia. The obtained results correspond with the fact of the pronounced seasonality of tourism market and thus may represent a good basis for future tourism planning and management.</p> </div> <p>&nbsp;</p>

scholarly journals Long-term trends and spatiotemporal variations of climate comfort in China during 1966-2016

2020 ◽  
Vol 24 (4) ◽  
pp. 2445-2453
Author(s):  
Fei-Fei Wu ◽  
Xiao-Hua Yang ◽  
Zhen-Yao Shen ◽  
Ze-Ji Yi
Keyword(s):  
Southern China ◽  
Function Analysis ◽  
Well Being ◽  
Central China ◽  
Western China ◽  
Tibet Plateau ◽  
Seasonal Climate ◽  
Comfort Index ◽  
Sensitive Areas ◽  
Climate Comfort

Climate comfort and its variability are of great importance to human comfort, health and well-being, as humans may suffer dire consequences when they are exposed to the environments with heat or cold stress. The climate comfort index represented the integrated effects of meteorological variables on the human thermal sensation. The annual and seasonal climate comfort index values were calculated based on the monthly data of the temperature, relative humidity, and wind speed from 591 stations in China between 1966 and 2016. Using the empirical orthogonal function analysis, the dominant modes of climate comfort index variations were extracted by the first two modes, which accounted for more than 50% of the total variance. The results showed that the annual and seasonal climate comfort index values displayed a latitudinal gradient, and increased towards the south except for the Qinghai-Tibet Plateau. The most frequently perceived thermal sensations were labeled as ?cold?, ?comfortable?, ?cold? and ?extremely cold? conditions from spring to winter, respectively. For annual and seasonal climate comfort index, the consistent increasing trend was detected in most regions of China in the first mode. The sensitive areas were mainly located in the central, eastern and southern China in winter, while in the northern and western China in summer. In the second mode, the fluctuations between upward and downward trends were observed. The sensitive areas were located in the central China in summer, in the southwestern and southern China in autumn, and in the northern China in winter. This study provides the important information for the improvement of human settlement comfort.

scholarly journals Research on Evaluation of Climate Comfort in Northwest China under Climate Change

2021 ◽  
Vol 13 (18) ◽  
pp. 10111
Author(s):  
Xuyang Yao ◽  
Mingjun Zhang ◽  
Yu Zhang ◽  
Hanyu Xiao ◽  
Jiaxin Wang
Keyword(s):  
Evaluation Model ◽  
Northwest China ◽  
Efficiency Index ◽  
Gansu Province ◽  
Shaanxi Province ◽  
Observation Data ◽  
Comfort Zone ◽  
Southeastern Part ◽  
Comfort Index ◽  
Climate Comfort

Based on the monthly observation data of major surface meteorological observatories in Northwest China from 1960 to 2019, this paper uses the temperature and humidity index (THI), wind efficiency index (WEI), and clothing index (ICL) to construct a comprehensive climate comfort index evaluation model. This model was used to quantitatively evaluate the change characteristics of climate comfort in Northwest China against the background of climate warming. The results show that the overall climate comfort index in Northwest China is on the rise. In terms of space, an increase in the climate comfort index means an increase in the comfort zone, with the largest increase in the southeastern part of Gansu Province and the southern part of Shaanxi Province. The trend of change is that the increase in the north is greater than that in the south, and the higher the latitude, the greater the change. The space range of the comfort zone and the sub-comfort zone is generally expanding, and the climate is gradually becoming more comfortable. In terms of time, an increase in the climate comfort index means an increase in the climate comfort period, and the annual comfort index shows an increasing trend. The comfort period is mostly distributed in summer, with the most suitable cities in May and September, followed by June.

Iterative learning control of air pressure variation inside a high-speed train under the excitation of the tunnel pressure wave with a fixed-morphologic form

2021 ◽  
pp. 095440972110327
Author(s):  
Zhiying He ◽  
Chunjun Chen ◽  
Dongwei Wang ◽  
Chao Deng ◽  
Jia Hu ◽  
...  
Keyword(s):  
Iterative Learning Control ◽  
Pressure Wave ◽  
High Speed ◽  
Learning Control ◽  
Pressure Variation ◽  
Iterative Learning ◽  
Air Pressure ◽  
High Speed Train ◽  
Comfort Index ◽  
Simulation Signal

Based on the characteristics that the tunnel pressure wave has a fixed-morphologic form when the same train passes through the same tunnel, an applicational approach based on the iterative learning control (ILC) is developed, aiming at overcoming the drawbacks of the traditional strategy for controlling the air pressure variation inside a high-speed train carriage. To achieve the goal, the control system is mathematically modelled. Then, the problem is formulated. The task of suppressing the influence of the tunnel pressure wave on the air pressure inside the carriages is shifted as an ILC problem of tracking the comfort index with varying trial length. The algorithm of refreshing the control signal from trial to trial is determined and the process of ILC control is designed. Next, the convergence of the newly-developed applicational ILC algorithm is discussed and the algorithm is simulated by the simulation signal and field-test signal. Results show that the applicational ILC algorithm be more adaptable in handling the control of the air pressure inside carriage under the excitation of varying-amplitude, varying-scale and varying-initial-states tunnel pressure wave. Meanwhile, the matching with tunnel pressure wave makes the applicational ILC algorithm will take both the riding comfort and fresh air into consideration, which upgrades the performances when the high-speed train passing through long tunnels.

Effect of unsupported sleepers on dynamic behavior of running vehicles and ride comfort index

2021 ◽  
pp. 095440622198937
Author(s):  
Mojtaba Azizi ◽  
Majid Shahravi ◽  
Jabbar-Ali Zakeri
Keyword(s):  
Numerical Model ◽  
Dynamic Behavior ◽  
Multibody Dynamics ◽  
Field Test ◽  
Ride Comfort ◽  
Vehicle Speed ◽  
Comfort Index ◽  
Railway Industry ◽  
Flexible Track ◽  
Train Speed

Nowadays, with various advancements in the railway industry and increasing speed of trains, the design of railway tracks and vehicles has become vitally important. One of the frequent problems of ballasted tracks is the existence of unsupported sleepers. This phenomenon occurs due to the lack of ballast underneath the sleepers. Here, a model is presented, in which a flexible track model in a multibody dynamics program is developed, in order to study the dynamic behavior of a vehicle. By utilizing the model, it is feasible to simulate unsupported sleepers on the flexible track including rail, sleeper, and ballast components. In order to verify the results of numerical model, a field test is performed. Findings indicate that, in the case of a single unsupported sleeper through the track, the ride comfort index increased by 100% after increasing the train speed from 30 to 110 km/h. Moreover, when it is needed to have ride comfort index improvement over the uncomfortable level, the vehicle speed should be less than 70 km/h and 50 km/h for tracks with one unsupported sleeper and two unsupported sleepers, respectively.

Animal thermal comfort index for the state of Paraíba, Brazil: trend, influencing factors, and mitigating measures

2021 ◽  
Author(s):  
Valquiria Cordeiro da Silva ◽  
Robson de Sousa Nascimento ◽  
José Pinheiro Lopes Neto ◽  
Fernanda Fernandes de Melo Lopes ◽  
Jaciara Ribeiro Miranda ◽  
...  
Keyword(s):  
Thermal Comfort ◽  
Influencing Factors ◽  
The State ◽  
Comfort Index

scholarly journals Thermal comfort index in lactating cows in an adapted free-stall facility

2020 ◽  
Vol 11 (4) ◽  
Author(s):  
João Marcos de Carvalho Vasconcelos ◽  
Sindynara Ferreira ◽  
Elisa De Souza Junqueira Rezende ◽  
José Luiz de Andrade Rezende Pereira
Keyword(s):  
Body Temperature ◽  
Relative Humidity ◽  
Thermal Comfort ◽  
Experimental Period ◽  
Temporal Variations ◽  
Holstein Cattle ◽  
Black And White ◽  
Comfort Index ◽  
Lactating Cows ◽  
Comfort Indices

This study was conducted to investigate the thermoregulation of Holstein cattle in an adapted free-stall facility at IFSULDEMINAS, Campus Inconfidentes, by measuring thermal comfort indices. The experimental period was from the end of December 2012 to the start of January 2013, in a total of 16 days. 12 multiparous, lactating, black-and-white Holstein cows were used in a free-stall system. Rectal temperature, respiratory frequency, ambient temperature and relative humidity were recorded at 3:00 a.m., 7:00 a.m., 11:00 a.m., 3:00 p.m., 7:00 p.m. and 11:00 p.m. The results demonstrate that despite the temporal variations that occurred throughout the evaluation days, the confined animals maintained their body temperature in balance.

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