The assessment of the thermal behavior of an urban park surface in a dense urban area for planning decisions

被引:27
|
作者
Adiguzel, Fatih [1 ]
Cetin, Mehmet [2 ,3 ]
Dogan, Mesut [4 ]
Gungor, Senay [1 ]
Kose, Mustafa [5 ]
Sert, Elif Bozdogan [6 ]
Kaya, Efdal [7 ]
机构
[1] Nevsehir Haci Bektas Veli Univ, Fac Arts & Sci, Dept Geog, Nevsehir, Turkey
[2] Kastamonu Univ, Fac Engn & Architecture, Dept Landscape Architecture, Kastamonu, Turkey
[3] Ondokuz Mayis Univ, Fac Architecture, Dept City & Reg Planning, Samsun, Turkey
[4] Istanbul Univ, Fac Letters, Dept Geog, Istanbul, Turkey
[5] Afyon Kocatepe Univ, Fac Arts & Sci, Dept Geog, Afyon, Turkey
[6] Iskenderun Tech Univ, Fac Architecture, Dept Landscape Architecture, Iskenderun, Turkey
[7] Iskenderun Tech Univ, Iskenderun Vocat Sch, Dept Architecture & Urban Planning, Program Map & Cadastre, Iskenderun, Hatay, Turkey
关键词
Thermal comfort zone; Urban heat island; Cukurova district; GIS; Summer index; CLIMATE-CHANGE; POLITICAL INSTABILITY; TOURISM CLIMATE; IMPACT; INFORMATION; COMFORT; WEATHER; INDEX;
D O I
10.1007/s10661-022-10172-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The new summer index (SSI) which was established to determine climate comfort was classified according to the index. Climatic comfort areas will increase and thus raising the quality of living in areas. The temperature values felt in the study were calculated with the SSI formula, and then the maps of the study area were classified. The study area was the Hayal Park and its surroundings in the Toros Quarter of Cukurova District, which is surrounded by multi-story and dense buildings in the north of Adana. Although the vertical construction is very high, it is richer in terms of green areas compared to other large central districts. Cukurova, which is one of the largest districts of Adana (according to population), has Seyhan dam lake in the north and Seyhan district in the south. The study area is on the border of Seyhan district and is adjacent to Yuregir and Saricam districts. With the portable Smart SENSOR AS 847 measuring device, temperature and relative humidity were measured at 1.5 m above the ground on Tuesday, August 20 at 07.00, at 14.00, and 21.00. Bioclimatic comfort areas were determined by measuring temperature and relative humidity at 25 points with different textures in the study area. In this study, measured instantaneous temperature (degrees C) and relative humidity (%) data were transferred to GIS medium by ArcGIS 10.6 program and then modeled with the Kriging method, which is one of the interpolation methods, and temperature and relative humidity maps were created. The temperature map created in degrees Celsius (degrees C) by the Kriging method and was converted to Fahrenheit degrees (degrees F) in the Raster Calculator. The reason for this change is that SSI is calculated with the formula Fahrenheit (degrees F). These maps were then calculated on the Raster Calculator using the SSI formula, and sensed temperature values were obtained The SSI, which normally has 8 classes, has 3 classes in the study area. These classes are 83 <= SSI < 91 slightly hot, 91 <= SSI < 100 hot, and 100 <= SSI < 112 very hot. When we look at the maps, the places outside of Hayal Park are in the hot class at 07.00 in the morning, and we can see that the green spaces have a positive effect on the bioclimatic comfort areas. The small area is in a very hot class. When we look at 14.00 h, it is a totally hot class. Normally, the temperature is the highest of these times and also coincides with the multi-story buildings in the study area; asphalt and concrete areas increased the temperature. As a result, there is a very hot air in the study area. It was determined that the maps identified non-comfortable areas. Since urban form and settlement affect climate comfort values, the urban plan should be revised, and the area should be brought to the bioclimatic comfort value range. For reducing the effect of temperature in the working area and creating comfortable areas is increasing the density of green areas compared to asphalt and concrete areas. Considering that the Cukurova district will grow further, urban planning should be done very well to reach the comfort range in the following settlements.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] The assessment of the thermal behavior of an urban park surface in a dense urban area for planning decisions
    Fatih Adiguzel
    Mehmet Cetin
    Mesut Dogan
    Senay Gungor
    Mustafa Kose
    Elif Bozdogan Sert
    Efdal Kaya
    Environmental Monitoring and Assessment, 2022, 194
  • [2] Assessment of the thermal response of variations in land surface around an urban area
    Daramola M.T.
    Eresanya E.O.
    Ishola K.A.
    Modeling Earth Systems and Environment, 2018, 4 (2) : 535 - 553
  • [3] Urban Park Landscape Planning Based on Urban Ecology
    Xue, Yan
    AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (03): : 2472 - 2475
  • [4] Urban park landscape planning based on urban ecology
    Xue, Yan, 1600, TeknoScienze, Viale Brianza,22, Milano, 20127, Italy (28):
  • [5] GPR survey in urban planning: Recognition of the former cemetery in the area of the current park
    Limisiewicz, Aleksander
    Szynkiewicz, Adam
    Udyrysz, Magdalena
    PROCEEDINGS OF THE 2014 15TH INTERNATIONAL CONFERENCE ON GROUND PENETRATING RADAR (GPR 2014), 2014, : 103 - 107
  • [6] Microcell prediction in dense urban area
    Lee, WCY
    Lee, DJY
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1998, 47 (01) : 246 - 253
  • [7] Influence of a large urban park on the local urban thermal environment
    Yan, Hai
    Wu, Fan
    Dong, Li
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 622 : 882 - 891
  • [8] URBAN TRANSPORT AND URBAN-PLANNING FOR LONDON AREA
    RIDLEY, TM
    JOURNAL OF PROFESSIONAL ISSUES IN ENGINEERING EDUCATION AND PRACTICE, 1995, 121 (02) : 137 - 139
  • [9] RECREATION AND URBAN PARK PLANNING - PROBLEMS AND PROSPECTS
    MOORE, M
    JONES, W
    JOURNAL OF ENVIRONMENTAL SYSTEMS, 1982, 11 (04): : 315 - 323
  • [10] Planning for environmental justice in an urban national park
    Byrne, Jason
    Wolch, Jennifer
    Zhang, Jin
    JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2009, 52 (03) : 365 - 392