2018
DOI: 10.21138/bage.2550
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Changes in bioclimatic indices in the Republic of Moldova (1960–2012): consequences for tourism

Abstract: El presente estudio incluye el análisis diagnóstico y evolutivo del bioclima de la República de  Moldavia según Wind Chill Index (WCI) y Cooling Power (CP). Entre 1960 y 2012,  el bioclima de la temporada fría (octubre-marzo) presentó una tendencia de calentamiento gradual, evidenciada por la baja de los valores de WCI. Durante la temporada cálida, el bioclima de la República de Moldovia registró un calentamiento gradual, evidenciado por la baja  de los valores de CP. Los valores del índice CP han sido… Show more

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Cited by 4 publications
(3 citation statements)
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“…To protect the population from similar events, it becomes essential to identify when and in the presence of what weather conditions the state of health and well-being may be at risk. To monitor the intensity of heat and the resulting physiological discomfort in humans, there are various indices, all based on the perception of meteorological parameters such as temperature and relative humidity [32,33].…”
Section: Introductionmentioning
confidence: 99%
“…To protect the population from similar events, it becomes essential to identify when and in the presence of what weather conditions the state of health and well-being may be at risk. To monitor the intensity of heat and the resulting physiological discomfort in humans, there are various indices, all based on the perception of meteorological parameters such as temperature and relative humidity [32,33].…”
Section: Introductionmentioning
confidence: 99%
“…Hence, climate and weather can affect the tourism business model. Because of these aforementioned reasons, understanding both local climate conditions through the year and their trends is thus of great importance, not only for developing strategies for the mitigation of climate change impact but also for tourism development [2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…ცხჽილში 2.12. მოცემულია ქაჽის მიმაჽთულებისა და შტილის განმეო-ჽადობა (%), ხოლო ნახაზზე 7-10 ქაჽის ვაჽდულები პუნქტების მიხედვით ცხჽილი2.12. ქაჽის მიმაჽთულებისა და შტილის განმეოჽადობა (%) [50,62,64,67,73,80,116,120,152,168,169,198,199] . ) და სეტყვიან ) და სეტყვიან დღეთა ჽაოდენობის ცვლილება ) თბილი პეჽიოდისთვის Table 4.1.2.…”
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