Characterization of human thermal comfort in urban areas of brazilian semiarid

Caracterização do conforto térmico humano em áreas urbanas do semiárido brasileiro

ABSTRACT

Experimental studies were conducted aiming to characterize the thermal conditions in urban areas of the Brazilian semiarid for identifying the level of human thermal comfort in urban areas of the municipalities of Mossoró-RN, Serra Talhada-PE, Petrolina-PE and Juazeiro-BA. The results showed that the constituent elements of urban areas contribute to human thermal discomfort index (DI_T). Both the wet and dry seasons showed up an uncomfortable condition in Mossoró on May 15th and on 23rd, 2008 (rural area) and on May 25rd, 2008 (urban area). By applying Thom's equation for obtaining the DI_T, it was observed that the urban areas reported thermal comfort conditions always inferior to those observed in the rural areas. The results indicate conditions of partial comfort for the all areas surveyed. However, the incidence of human thermal discomfort related to the minimum, average and maximum air temperatures are, probably associated to the formation of urban heat islands. In addition, the afforestation is an effective mechanism of mitigating the adverse effects of these structures with better quality of life to the population. Therefore, it can be stated that the Brazilian semiarid region has specific urban climate, which is influenced by the design characteristics of the urban structure and buildings.

Keywords :
urban and rural areas; air temperature and humidity; human thermal discomfort index.

RESUMO

Estudos experimentais foram realizados com o objetivo de caracterizar as condições térmicas em áreas urbanas do semiárido brasileiro para identificar o nível de conforto térmico dos municípios de Mossoró-RN, Serra Talhada-PE, Petrolina-PE e Juazeiro-BA. Os resultados mostraram que os elementos constitutivos de áreas urbanas contribuem para índice de desconforto térmico (DI_T). Nas estações secas e úmidas foram observadas condições desconfortáveis em Mossoró. Ao aplicar a equação de Thom para a obtenção do DI_T, observou-se que as áreas urbanas relataram condições de conforto térmico sempre inferiores às observadas nas áreas rurais. Os resultados indicam condições de conforto parcial para as todas as regiões pesquisadas. No entanto, a incidência de desconforto térmico relacionada com as temperaturas mínima, média e máxima do ar são, provavelmente associadas à formação de ilhas de calor urbanas. Além disso, a arborização é um mecanismo eficaz na mitigação dos efeitos adversos destas estruturas com melhor qualidade de vida à população. Portanto, pode-se afirmar que a região do semiárido brasileiro tem clima urbano específico, que é influenciada pelas características dos projetos da estrutura urbana e edifícios.

Palavras-chave :
áreas urbanas e rurais; temperatura e umidade do ar; índice de desconforto térmico humano

1. INTRODUCTION

Blazejczyk et al. (2012) affirms that in the last century there has been much active research on how to define human thermal comfort which resulted in various models. A large number of indices have been proposed, which are (or were) in use throughout the world. Some studies, such as Goldreich (1995), Ichinose et al. (1999) and Silva et al. (2010) showed that urban climate has been widely studied in many parts of the world, and the heat island phenomenon has been discussed, along with its impacts on the urban thermal environment. Similarly, the assessment of the effects of urbanization on human thermal comfort has been also studied by several researchers, for example: Burian and Shepherd (2005), Stathopoulos et al. (2004) and Sarrat et al. (2006).

Thermal comfort expresses satisfaction with the thermal environment, which is assessed by evaluating both objective and subjective parameters. The environmental conditions for reaching a sense of thermal comfort vary with the individual, once people have physiological and psychological differences. When the thermal environmental conditions exceed certain ranges, the human body thermoregulatory mechanisms are activated in order to maintain constant internal body temperature. Temperatures beyond the limits of comfort may cause thermal fatigue, and consequently, malaise, reduction of work performance, total loss of ability to perform intellectual activities, health problems and even death (Lamberts, 2014).

The human activities cause changes in the atmospheric composition and triggers climate change studies that form in the cities, called urban climate, which constitutes one of the most relevant factors for the environmental quality of the built environment (Coltri et al., 2007). The interurban climatic conditions are directly related to the heterogeneity of land use and urban features, generating heat islands and wet and dry islands (Viana and Amorim, 2008). Significant changes were observed in the urban atmosphere in Campina Grande-PB because of intense urbanization (Sousa Júnior, 2006; Silva et al., 2010). According to Johansson (2006), in hot and dry climates, a compact urban model is preferable. However, if there is a cold season, this urban model must include some wider or open spaces to provide access to solar radiation. In search for alternatives to offer human thermal comfort in environments already built, Alexandria and Jonesb (2008) found a reduction of temperature, improved thermal comfort, and energy savings by covering roofing and walls with some vegetation. Thus, thermal comfort can be approached on the basis of human and environmental variables (Nicol and Humphreys, 2002; Barbosa et al., 2003; Corbella and Yannas, 2003; Lamberts, 2014; Kwok and Chun, 2003 and Prado and Ferreira, 2005).

In the Brazilian semiarid region, the development of some cities, particularly those of medium size, helps to explain how changes in their urban structures, especially the coating of public roads in downtown areas, lead to experience temperature rise from the surrounding areas (Oke, 1991; Monteiro and Alucci, 2005; Bezerra et al., 2013). Temperature differences between the city and its surroundings, caused by environmental differences between urban and rural areas form currents of rising air moving from the urban periphery to the most heated areas, conducting air pollutants generated in the periphery to the urban center. These pollutants will be added to the existing urban center, intensifying the problem of environmental degradation in urban centers. Therefore, the already adverse natural conditions of the semiarid region are worsened by the building blocks of urban structures that contribute more markedly to worsen the quality of life in urban centers with increased thermal discomfort for the city population (Bezerra, 2009).

The Brazilian semiarid low latitudes are responsible for higher temperatures in cities, together with the land use and land cover changes cause modifications in energy balance, evidenced by the generation of heat islands (Perez et al., 2001; Azevedo and Tarifa, 2001; Kalnay and Cai, 2003; Monteiro and Mendonça, 2003 and Silva et al., 2010). Studies of energy balance in urban areas have shown that, contrary to what occurs in natural areas, the sensible heat flux has to be much higher than the latent heat flux, causing an increase in temperature compared with the rural environment (Oke et al., 1992). Recognizing the regional uncertainties on global climate models, several initiatives have emphasized the analyses focusing on smaller scales as boundary conditions for the production of more detailed scenarios (Silva Dias and Silva Dias, 2007).

In this context, knowledge of urban climate provides information for cities spatial management and planning, through technical, economic and political scenarios that can contribute to sustainable development (Grimmond et al., 2010; Kithiia and Dowling, 2010 and Mills et al., 2010). Given the above, this study aimed to characterize the human thermal conditions in urban areas of the Brazilian semiarid, to identify the level of human thermal comfort in urban areas of the municipalities of Mossoró-RN, Serra Talhada-PE, Petrolina-PE and Juazeiro-BA.

2. MATERIAL AND METHODS

2.1. Areas of study and Instrumentation

The experiments were conducted in the municipalities of Mossoró-RN (Area: 2,108.9 km² and Population: 259,815 inhabitants.), Serra Talhada-PE (Area: 2,979.9 km² and Population: 79,241 inhabitants), Petrolina-PE (area: 4,756.8 km² and Population: 294,081 inhabitants) and Juazeiro-BA (area: 6,389 km² and Population: 197,965 inhabitants), all inserted in the Brazilian semiarid region (Figure 1). These municipalities have the following climatic characteristics:

Mossoro: Very hot and dry climate with the rainy season from February to May, average annual temperature of 27.6 ºC, annual rainfall of 772.7 mm and average annual relative humidity of 68.3%;

Serra Talhada: Semiarid climate with rainy season from November to April, average annual temperature of 25.2 ºC, annual rainfall of 381.5 mm, average annual relative humidity of 47.4 %;

Petrolina: Very dry and semi-arid climate with rainy season from November to April, average annual temperature of 25.2 ºC, annual rainfall of 479 mm, average annual relative humidity of 50.2 %;

Juazeiro: Dry and hot climate with a high risk of drought and with rainy season from November to April, average annual temperature of 25.9 ºC, annual rainfall of 430 mm, average annual relative humidity of 53.4 %.

Figure 1:
Geographical location of the studied areas.

An automatic weather station was installed in the main public square in downtown of each municipality, with absence of obstacles around, for measuring temperature and relative humidity, wind speed and direction and rainfall for the periods: wet (May 12^th to 26^th, 2008) and dry (November 15^th to December 5^th, 2008). The sensors were coupled to automatic data collection systems (CR-10X data logger, Campbell), programmed to collect data every 2 seconds, providing average every 30 minutes and extreme values every 24 hours report. Data obtained in the different observational sites have been compared to each other and to those representing the natural condition without influence of urbanization, collected at weather stations located in a rural area of ​​each municipality analyzed.

2.2. Methodology

The degree of thermal comfort was obtained by adapting the discomfort index of Thom (DI_T), as follows (Monteiro and Alucci, 2005):

(1)

Where T_a is the air temperature (ºC) and RH_a the relative humidity (%).

For all studied areas, it was observed an inverse relationship between air temperature and relative humidity, i.e., the maximum air temperature occurs at times very close to those of the minimum relative humidity. Similarly, the minimum air temperature occurs at times close to those of maximum relative humidity. Thus, it was possible to split the calculation of DI_T into two components:

(2)

(3)

Where (DI_T)_x is the maximum thermal discomfort index (ºC), T_x the maximum air temperature (°C), RH_m the minimum relative humidity (%), (DI_T)_m the minimum thermal discomfort index (ºC), T_m the minimum air temperature (°C) and RH_x the maximum relative humidity (%).

The information in Table 1 were used to classify the level of thermal discomfort (Silva et al., 2010). To enable an effective comparison of data obtained in different localities surveyed, all recorded in field experiments (in clock time) were converted to true solar time, considering the corrections of time equation (E_t) and the differences of longitude (λ) as follows:

(4)

Where t_a is the apparent time (true solar time); t_c is the civil time (clock time); Δλ is the correction due to different longitudes:

(5)

E_t = 7.5x10^-5 + 1.87x10^-3cos(Γ) - 3.21x10^-2sen (Γ)

- 1.46x10^-2cos(2Γ) - 4.09x10^-2sen(2Γ)

(6)

Where λ_s is the standard meridian of longitude; λ_l is the local longitude, and

(7)

d = day of the year.

Table 1:
Classes of thermal discomfort due to the Thom's thermal discomfort index (DI_T).

Level	Range of DIT (ºC)	Classes of thermal discomfort
1	DIT ≤ 14,9	uncomfortable
2	15,0 ≤ DIT ≤ 19,9	comfortable
3	20,0 ≤ DIT ≤ 26,4	partial comfort
4	DIT ≥ 26,5	uncomfortable

3. RESULTS AND DISCUSSION

Mean and extreme ​​(maximum and minimum) values of air temperature, relative humidity and wind speed were analyzed for wet (May 12^th to 26^th, 2008) and dry (November 15^th to December 5^th, 2008) periods beyond comparisons between rural and urban areas of each city studied.

3.1. Air Temperature

a) Wet period

By analyzing the data of the wet period (Table 2), it appears that the air temperature (Ta) in urban areas was on average higher than that observed in rural areas in all districts and the urban area of Mossoró presented increased overall average (29.0 °C). Moreover, the urban area of Serra Talhada was the largest absolute value of air temperature (38.2 °C). In this same area, with the largest temperature range of 18.9 ºC difference between the maximum and minimum air temperatures, was also observed. However, the urban area of Mossoró had the highest average maximum temperature (T_x = 35.5 ºC). The rural area registered the lowest minimum air temperature absolute values of 17.7 ºC and 20.1 ºC for Petrolina and Serra Talhada, respectively, while the rural area of Serra Talhada had the lowest mean minimum air temperature (Tm = 20.1 °C). Occurrences of lower temperatures were observed during the time-period from 5 to 6 a.m. while the higher air temperatures occurred between 14 and 15 p.m.

Table 2:
Air temperature: minimum (mean and absolute values and times of occurrence), maximum (mean and absolute values and times of occurrence) and overall average in the wet season.

Station	Air temperature (ºC)
	Minimum (Tm)			Maximum (Tx)			Overall Average
	Time	Absolute	Mean	Time	Absolute		Mean
Mossoró (urban)	04:56	22.4	24.5	14:51	36.9	35.5	29.0
Mossoró (rural)	05:37	21.9	23.7	14:47	36.3	34.8	28.5
Serra Talhada (urban)	06:24	19.3	21.1	15:12	38.2	32.4	25.7
Serra Talhada (rural)	05:14	18.5	20.1	15:19	32.3	30.1	24.2
Petrolina (urban)	05:56	20.4	22.4	14:52	37.9	33.5	27.0
Petrolina (rural)	05:59	17.7	20.6	15:05	35.3	31.2	25.3
Juazeiro (urban)	06:05	19.9	21.7	15:10	36.0	31.8	26.0
Juazeiro (rural)	05:54	18.4	21.3	15:03	35.4	31.3	25.7

b) Dry period

During the dry period (Table 3), it was observed that the air temperature in the urban area was, on average, higher than that observed in rural areas in all municipalities. In addition, it was observed that the urban area of Serra Talhada had the highest average (30.0 ºC) and the highest absolute value of the air temperature (39.0 °C) during the period. In the rural area of Serra Talhada occurred the lowest mean minimum temperature (22.0 °C). However, it was in the urban area of Petrolina that registered the lowest absolute value for this climate variable (20.6 °C). The largest thermal amplitude occurred in rural area of Serra Talhada with 17.7 ºC difference between T_x and T_m. The occurrence of lower temperatures were always observed at the times between 4 and 7 a.m. while the higher air temperatures occurred at between 1:00 and 4:00 pm. These results are in agreement with the climatology of the region, as described in the Section 2.1.

Table 3:
Air temperature: minimum (mean and absolute values and times of occurrence), maximum (mean and absolute values and times of occurrence) and overall average in the dry season.

Station	Air temperature (ºC)
	Minimum			Maximum			Overall Average
	Time	Absolute	Mean	Time	Absolute	Mean
Mossoró (urban)	04:37	23.7	24.6	12:51	37.9	36.0	29.1
Mossoró (rural)	04:14	22.7	23.8	12:04	36.9	35.0	28.3
Serra Talhada (urban)	05:26	21.5	23.1	15:07	39.0	37.2	30.0
Serra Talhada (rural)	05:25	20.8	22.0	13:32	38.5	36.1	29.6
Petrolina (urban)	05:23	20.6	22.9	13:59	39.0	35.9	28.9
Petrolina (rural)	06:26	20.7	22.7	16:17	36.4	34.5	28.1
Juazeiro (urban)	07:01	21.0	23.5	13:52	37.1	35.1	29.1
Juazeiro (rural)	07:03	21.1	23.5	16:04	36.1	34.4	28.8

3.2. Relative humidity

a) Wet period

The relative humidity results obtained during the wet period are summarized in Table 4. It is observed, that in the course of this period, the maximum relative humidity (RH_x) was, on average, more than 78.5% in all the surveyed localities. This climatic variable was on average lower in the urban than in rural environments in Mossoró, Serra Talhada and Petrolina. In Juazeiro, probably due to wind currents arising from the São Francisco River, the urban area presented a relative humidity average slightly higher than that observed in rural area. The absolute maximum relative humidity always occurred at times between 5:00 and 8:00 am while the minimum relative humidity occurred between 2:00 and 4:30 pm.

It is worth noting that the occurrence of extreme values of relative humidity has a direct impact on thermal comfort, since rates above 90% hinders respiration while less than 40% levels are harmful to human health and the occurrences of values lower than this moisture level were observed in the four cities studied. The urban area of Mossoró presented, on average, the lowest values of relative humidity (36.0%) while in absolute terms the lowest rate recorded during this period was 23.3% in the urban area of Petrolina.

Table 4:
Relative humidity: minimum (time of occurrence, absolute and average values), maximum (time of occurrence, mean and absolute values) and overall average for the wet period.

Station	Air relative humidity (%)
	Minimum			Maximum			Overall Average
	Time	Absolute	Mean	Time	Absolute	Mean
Mossoró (urban)	14:52	28.3	36.0	05:30	80.9	78.5	61.0
Mossoró (rural)	14:09	39.7	46.3	05:17	95.4	88.3	70.6
Serra Talhada (urban)	14:33	28.3	45.2	05:55	95.0	89.5	73.0
Serra Talhada (rural)	12:28	38.0	54.3	04:46	100.0	95.6	74.0
Petrolina (urban)	15:28	23.3	38.0	07:46	9.4	87.5	62.7
Petrolina (rural)	16:24	25.1	40.1	06:02	100.0	89.2	65.5
Juazeiro (urban)	15:12	26.2	41.5	07:35	97.1	85.8	64.6
Juazeiro (rural)	15:08	23.7	39.8	07:29	94.8	85.2	63.8

b) Dry period

The results of the dry period are summarized in Table 5, in which one can observe that the maximum relative humidity (RH_x) was, on average, lower than 60.0% in all localities surveyed. The absolute minimum-recorded value was 12.2% in urban Serra Talhada. In general, the mean values of the climatic variables were lower in the urban than in rural areas of all municipalities. In the Section 2.1 it is possible to evidence that these results are in agreement with the regional climatology.

Table 5:
Relative humidity: minimum and maximum (mean and absolute values and times of occurrence) and overall average in the dry season.

Station	Relative humidity (%)
	Minimum			Maximum			Overall Average
	Time	Absolute	Mean	Time	Absolute	Mean
Mossoró (urban)	12:42	23.3	32.0	05:31	81.9	79.2	59.0
Mossoró (rural)	12:19	25.1	33.6	06:00	85.8	81.6	59.7
Serra Talhada (urban)	15:36	12.2	19.6	05:06	88.1	72.8	41.0
Serra Talhada (rural)	15:22	15.7	23.7	06:02	89.3	73.9	47.9
Petrolina (urban)	15:28	18.7	29.8	08:34	93.1	74.6	51.7
Petrolina (rural)	14:55	21.5	28.4	06:08	100.0	77.8	52.0
Juazeiro (urban)	16:04	18.3	28.6	07:44	91.9	70.1	48.5
Juazeiro (rural)	15:47	17.8	28.8	07:36	92.9	72.1	4.6

3.3. Wind speed

a) Wet period

The wind speed is also an important attribute of climate ambience of the urban areas. In general, strong air movements represent a disadvantage in cold climates and effective in warm climates. In the Brazilian semiarid, warm days and calm wind causes quite sharp heat sensation. The wind is a meteorological variable which promotes urban climatic comfort, however, is the element most altered by urbanization (Grimmond, 2007; Runnals and Oke, 2000). The results obtained for this climatic variable are grouped and presented for each study period (Table 6).

Table 6:
Wind speed wet and dry periods: (times of occurrence, absolute and mean values) and and overall averages.

Station	Wind speed (m.s-1)
	Wet period			Overall Average	Dry period			Overall Average
	Time	Absolute maximum	Mean		Time	Absolute maximum	Mean
Mossoró (Urban)	15:00	1.9	1.4	0.6	14:51	8.8	7.1	1.3
Mossoró (Rural)	16:25	4.8	3.8	1.3	08:18	8.8	7.5	3.4
Serra Talhada (Urban)	07:54	7.0	5.1	0.6	07:49	8.5	6.9	1.4
Serra Talhada (Rural)	10:43	6.2	5.4	1.1	06:45	9.3	7.8	2.1
Petrolina (Urban)	19:42	8.5	7.2	1.5	18:55	10.3	7.0	1.1
Petrolina (Rural)	15:06	11.2	9.9	3.1	20:41	13.0	10.2	2.8
Juazeiro (Urban)	10:55	10.0	7.7	1.1	13:41	10.7	7.8	1.8
Juazeiro (Rural)	13:29	12.8	10.8	3.9	12:13	14.7	10.9	3.2

For the wet period (Table 6), it was evidenced the occurrence of very weak winds in Mossoró, averaging 0.6 ms^-1 in the urban area. Even in the rural area of the city, the average wind speed was relatively low (1.3 ms^-1). In Serra Talhada, despite having the same average value of Mossoró (0.6 m.s^-1) during the wet period, there were bursts of 7.0 ms^-1 in the urban area. In the rural area of the city, the average wind speed was 1.1 ms^-1, very similar to those presented in Mossoró, as well as, showed an absolute maximum value of 6.2 ms^-1. The urban area of Petrolina city has shown an average of 1.5 m.s^-1 with absolute maximum value of 8.5 m.s^-1, while the rural area showed an average and absolute maximum values of 3.1 m.s^-1 and 11.2 m.s^-1, respectively. Similarly, the urban area of Juazeiro city presented an average of 1.1 ms^-1 with absolute maximum value of 10.0 ms^-1, and the rural area an average and absolute maximum value of 3.9 and 12.8 ms^-1, respectively. These similar behaviors between Petrolina and Juazeiro can be explained by the proximity between the two cities, i.e., about 4 km of distance.

b) Dry period

Table 6 also shows the wind speed values for the dry period. It was observed that the average wind speed of urban area of Mossoró is 1.3 ms^-1 and the absolute maximum value of 8.8 ms^-1. In the rural area of the city, the average wind speed was higher than the urban area (3.4 ms^-1) and same absolute maximum value. In Serra Talhada, the urban area has showed average wind speed of 1.4 m.s^-1 and absolute maximum value of 8.5 m.s^-1. In the rural area of the city, the average wind speed and absolute maximum values were 2.1 and 9.3 m.s^-1, respectively. The urban area of Petrolina city has shown an average of 1.1 m.s^-1 with absolute maximum value of 10.3 m.s^-1, and the rural area an average and absolute maximum value of 2.8 m.s^-1 and 13.0 m.s^-1, respectively. The urban area of Juazeiro city presented an average of 1.8 m.s^-1 with absolute maximum value of 10.7 m.s^-1, and the rural area showed an average and absolute maximum value of 3.2 and 14.7 ms^-1, respectively. It was observed again the similar wind speed behaviors between Petrolina and Juazeiro as discussed previously. It is possible to identify that in the dry period the urban area of Petrolina had the lowest average wind speed (1.1 m.s^-1), while the rural area of Mossoró had the highest average (3.4 m.s^-1). It is also evident that the rural area of all counties showed average wind speed above the respective urban area, thus demonstrating the influence of urban structures on this variable. Thus, the morphology of cities in terms of height, width and density of buildings, affects, besides the standard heating, air movement at street level (Grimmond, 2007) and that the intensity of heat islands decreases with increase in wind speed and cloud cover (Runnals and Oke, 2000).

3.4. Evaluation of thermal comfort

a) Wet Period

The results of thermal discomfort index (DI_T) for the wet period (Table 7) showed an uncomfortable condition (DI_T ≥ 26.5 °C) in Mossoró on 13, 15 and 23/05/2008 (rural area) and on 25/05/2008 (urban area). These uncomfortable conditions were probably caused by the low wind speed occurred in that wet period (Table 6). The other results indicate a condition of partial comfort (20.0 ≤ DI_T ≤ 26.4 ºC) for all areas surveyed. The mean values ​​showed no thermal discomfort (15.0 ≤ DI_T ≤ 19.9 ºC) on any day of the period analyzed. It is also emphasized that the data in Table 7 are daily averages and serve only as indicative of thermal comfort/discomfort situations.

Table 7:
Evaluation of thermal discomfort index (DI_T) during the wet period (May, 2007). The highlighted values mean uncomfortable conditions.

Station	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26
Mossoró (Urban)	25.7	26.0	25.7	25.6	25.8	25.9	26.2	25.5	26.1	25.7	26,0	26.3	26.2	26.5	26.0
Mossoró (Rural)	26.1	26.6	26.2	26.5	26.0	26.1	26.3	26.0	26.4	25.8	25,9	26.6	26.4	26.1	26.1
Serra Talhada (Urban)	-	23.1	23.5	24.9	24.9	23.8	24.0	24.2	23.6	23.3	23,6	24.2	24.3	24.8	24.5
Serra Talhada (Rural)	-	22.6	21.8	22.3	22.6	23.6	23.8	22.8	22.9	23.0	22,6	22.3	22.5	22.9	23.5
Petrolina (Urban)	23.0	24.1	24.0	25.1	25.1	24.8	24.3	24.3	24.5	23.9	23,6	24.8	24.6	25.5	24.7
Petrolina (Rural)	22.1	23.1	23.0	24.1	24.1	23.7	23.2	23.2	23.3	22.9	22,4	23.2	22.9	24.0	23.5
Juazeiro (Urban)	22.2	23.5	23.5	24.4	23.8	24.1	23.7	23.7	23.8	23.3	23,0	24.2	24.3	25.0	24.1
Juazeiro (Rural)	22.2	23.2	23.1	24.0	24.1	23.8	23.3	23.3	23.4	23.0	22,6	23.7	23.8	24.7	23.7

b) Dry period

In the dry period (Tables 8 and 9) there was a larger partial comfort condition (20.0 ºC ≤ DI_T ≤ 26.4 ºC) in all tested areas. The mean values showed no thermal discomfort and/or comfort on any day of the period analyzed. It is also emphasized that the data in Tables 8 and 9 are daily averages and serve only as indicative of thermal comfort/thermal discomfort situations.

It also appears that there are few records of a situation of thermal discomfort. However, this situation stems from the fact that by adopting average values of temperature and relative humidity in the calculation of the DI_T with Thom's equation in its original form. It is possible to minimize the real influence of these variables on the classification of the condition of thermal comfort (Tables 8 and 9). Accordingly, it is proposed to use the related minimum values of maximum temperature and minimum humidity or maximum temperature and maximum humidity for determining the parameters derived from thermal discomfort index proposed by Thom, called (DI_T)_x or (DI_T)_m, respectively. Cities that have not consolidated the urbanization process use to monitor its urban development to prevent the formation of heat islands, promote thermal comfort and improve life quality. This can occur during the environmental licensing of urban allotments and areas of public interest aimed at the implementation of housing programs, with a greater accuracy in choosing the type of flooring to be used in the paving of roads (Bezerra et al., 2013 ).

Table 8:
Evaluation of thermal discomfort index (DI_T) during the dry period (November, 2008).

Station	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30
Mossoró (Urban)	24.6	25.6	25.7	25.7	25.7	25.7	25.5	25.5	25.7	25.6	25.9	26.2	26.1	25.6	25.8	26.3
Mossoró (Rural)	25.4	25.1	25.1	25.2	25.1	25.1	24.9	24.9	25.2	25.1	25.4	25.7	25.8	25.0	25.2	25.8
Serra Talhada (Urban)	-	24.8	25.4	24.2	25.9	25.6	24.4	24.4	24.1	24.6	25.0	25.2	24.9	24.8	24.5	25.6
Serra Talhada (Rural)	24.6	25.2	25.7	25.2	25.3	25.5	25.2	24.2	24.8	25.0	25.6	25.1	25.3	24.3	24.8	25.6
Petrolina (Urban)	25.1	24.7	25.1	25.0	25.2	25.8	25.6	25.3	24.9	24.5	24.1	25.2	25.5	24.7	24.9	24.7
Petrolina (Rural)	24.4	24.0	24..2	24.1	24.4	25.2	25.1	24.7	24.5	24.1	23.5	24.6	25.1	24.1	24.3	24.3
Juazeiro (Urban)	24.7	24.9	23.9	25.0	25.1	25.9	25.4	25.2	24.8	24.5	24.2	25.1	25.4	24.8	25.0	24.6
Juazeiro (Rural)	24.9	24.4	24.7	24.6	24.9	25.6	25.3	25.0	24.6	24.3	24.0	24.9	25.2	24.6	24.6	24.5

Table 9:
Evaluation of thermal discomfort index (DI_T) during the dry period (December, 2008).

Station	01	02	03	04	05
Mossoró (Urban)	26.3	26.0	25.8	25.6	26.2
Mossoró (Rural)	25.8	25.4	25.2	24.9	25.5
Serra Talhada (Urban)	25.8	25.0	24.1	25.7	25.5
Serra Talhada (Rural)	25.9	25.9	24.9	26.3	26.1
Petrolina (Urban)	25.9	25.3	24.0	24.8	25.4
Petrolina (Rural)	25.4	24.8	23.6	22.7	24.9
Juazeiro (Urban)	25.9	25.3	24.1	23.1	25.5
Juazeiro (Rural)	25.7	25.1	23.9	23.1	25.3

4. CONCLUSIONS

The results of the evaluation of the thermal conditions in urban areas of the Brazilian semiarid region, from data obtained from automatic weather stations installed in wet and dry periods in the municipalities of Mossoró-RN, Serra Talhada and Petrolina-PE and Juazeiro-BA, allow us to formulate the following conclusions:

1) It was shown that naturally there are adverse climatic conditions in the semiarid region, which is potentiated by the constructive elements of the urban spaces, contributing for thermal discomfort of the population;

2) By applying Thom's equation for obtaining the thermal discomfort index (DI_T), it was observed that the urban areas reported thermal comfort conditions always inferior to those of the rural area;

3) On the average, thermal discomfort conditions (15.0 ºC ≤ DI_T ≤ 19.9 °C) were observed for some days of the period analyzed. However, the incidence of thermal discomfort related to minimum, average and maximum temperatures, probably associated to the process of planning occupation of their urban space, which have never considered the climatic aspects;

4) Therefore, it can be stated that the Brazilian semiarid region has a specific urban climate, which is influenced by the design characteristics of the urban structure and buildings. This association contributes to the formation of urban heat islands and population thermal discomfort. In addition, the afforestation is an effective mechanism of mitigating the adverse effects of these structures with better life quality of the population.

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Publication Dates

• Publication in this collection
  Oct-Dec 2015

History

• Received
  18 Nov 2014
• Accepted
  16 Mar 2015