A simple approach for the development of urban climatic maps based on the urban characteristics in Tainan, Taiwan

International Journal of Biometeorology

Volumn 61, Issue 6, 2017, Pages 1029-1041

  Chen, Yu Cheng ^a   Lin, Tzu Ping ^a   Lin, Chien Ting ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Mobile measurements; Thermal load; Urban characteristics; Urban climatic map; Wind environment

Indexed keywords

CITY; CITY PLANNING; CLIMATE; ENVIRONMENTAL MONITORING; HUMAN; PROCEDURES; TAIWAN; TEMPERATURE SENSE; THEORETICAL MODEL; WEATHER;

CITIES; CITY PLANNING; CLIMATE; ENVIRONMENTAL MONITORING; HUMANS; MODELS, THEORETICAL; TAIWAN; THERMOSENSING; WEATHER;

EID: 85000885225     PISSN: 00207128     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00484-016-1282-0     Document Type: Article

References (64)

1. Acero JA, Herranz-Pascual K (2015) A comparison of thermal comfort conditions in four urban spaces by means of measurements and modelling techniques. Build Environ 93:245
2. Acero JA, Kupski S, Arrizabalaga J, Katzschner L (2015) Urban climate multi-scale modelling in Bilbao (Spain): a review. Procedia Eng 115:3
3. Alcoforado MJ, Andrade H, Lopes A (2009) Application of climatic guidelines to urban planning: the example of Lisbon (Portugal). Landscape Urban Plan 90:56–65
4. AL-Yahyai S, Charabi Y, Gastli A, Al-Alawi S (2010) Assessment of wind energy potential locations in Oman using data from existing weather stations. Renew Sustainable Energy Rev 14:1428–1436
5. Arnold CL Jr, Gibbons CJ (1996) Impervious surface coverage: the emergence of a key environmental indicator. J Am Plan Assoc 62(2):243–258
6. Ashie Y, Kono T (2011) Urban-scale CFD analysis in support of a climate-sensitive design for the Tokyo Bay area. Int J Climatol 31(2):174–188
7. Baker LA, Brazel AJ, Selover N, Martin C, McIntyre N, Steiner FR, Musacchio L (2002) Urbanization and warming of phoenix (Arizona, USA): impacts, feedbacks and mitigation. Urban Ecosyst 6(3):183–203
8. Bounoua L, Collatz GJ, Randall D (2000) Sensitivity of climate to changes in NDVI. J Clim 13:2277
9. Central Weather Bureau of Taiwan (2015) Monthly report on climate system. http://www.cwb.gov.tw/V7/forecast/long/long_season.htm
10. Charalampopoulos I, Chronopoulou-Sereli A (2005) Mapping the urban green area influence on local climate under windless light wind conditions: the case of western part of Athens, Greece. Acta Climatologica 38-39:25–31
11. Chen L, Ng E (2011) Quantitative urban climate mapping based on a geographical database: a simulation approach using Hong Kong as a case study. Int J Appl Earth Obs Geoinf 13(4):586
12. Chen L, Ng E, An XP, Ren C, He J, Lee M, Wang U (2012) Sky view factor analysis of street canyons and its implications for intra-urban air temperature differentials in high-rise, high-density urban areas of Hong Kong: a GIS-based simulation approach. Int J Climatol 32(1):121–136
13. Chithra SV, Harindranathan Nair MV, Amarnath A, Anjana NS (2015) Impacts of impervious surfaces on the environment. Int J Eng Sci Invention 4(5):27–31
14. Dawod G, Mirza M, Al-Ghamdi K (2011) GIS-based spatial mapping of flash flood hazards in Makkah city, Saudi Arabia. J Geogr Inf Syst 3(3):217–223
15. Dimitriou E, Zacharias I (2010) Identifying microclimatic, hydrologic and land use impacts on a protected wetland area by using statistical models and GIS techniques. Math Comput Model 51:200–205
16. Eliasson I, Svensson M (2003) Spatial air temperature variations and urban land use-a statistical approach. Meteorol Appl 10(02):135–149
17. Fanger P (1967) Calculation of thermal comfort, introduction of a basic comfort equation. ASHRAE Trans 73(2):III4.1–III4.20
18. Frazer L (2005) Paving paradise: the peril of impervious surfaces. Environ Health Persp 113:A457–A462
19. Gál T, Unger J (2008) Detection of ventilation paths using high-resolution roughness parameter mapping in a large urban area. Build Environ 44(1):198–206
20. Ghiaus C, Allard F, Santamouris M, Georgakis C, Nicol F (2006) Urban environment influence on natural ventilation potential. Build Environ 41(4):395–406
21. Glenn EP, Doody TM, Guerschman JP, Huete A, King EA, McVicar TR, Zhang Y (2011) Actual evapotranspiration estimation by ground and remote sensing methods: the Australian experience. Hydrol Process 25(26):4103–4116
22. Grimmond C, Oke TR (1999) Aerodynamic properties of urban areas derived from analysis of surface form. J Appl Meteor 38(9):1262–1292
23. Höppe P (1993) Heat balance modelling. Experientia 49:741–746
24. Höppe P (1999) The physiological equivalent temperature—a universal index for the biometeorological assessment of the thermal environment. Int J Biometeorol 43(2):71–75
25. Johnson LF, Trout TJ (2012) Satellite NDVI assisted monitoring of vegetable crop evapotranspiration in California’s San Joaquin Valley. Remote Sens 4:439–455
26. Kaufmann R, Zhou L, Myneni R, Tucker C, Slayback D, Shabanov N, Pinzon J (2003) The effect of vegetation on surface temperature: a statistical analysis of NDVI and climate data. Geophys Res Lett 30(22):2147
27. Kent E (2011) Wind patterns and the heat island in Phoenix, Arizona: 1993-2008. J Arizona Nevada Acad Sci 42(2):92–103
28. Koellner T, Scholz RW (2007) Assessment of land use impacts on the natural environment. Int J Life Cycle Assess 12(1):16–23
29. Kotharkar R, Surawar M (2015) Land use, land cover, and population density impact on the formation of canopy urban heat islands through traverse survey in the Nagpur urban area, India. J Urban Plann Dev 142(1) doi:10.1061/(ASCE)UP.1943-5444.0000277, 04015003
30. Kurn DK, Bretz SE, Akbari H (1994) The potential for reducing urban air temperatures and energy consumption through vegetative cooling, Proceedings of the 1994 summer study on energy effects in builidngs. Pacific Grove http://www.osti.gov/bridge/servlets/purl/10180633-hLSlld/native/10180633.PDF
31. Liao FC, Cheng MJ, Hwang RL (2015) Influence of urban microclimate on air-conditioning energy needs and indoor thermal comfort in houses. Adv Meteorol 2015(2015):585623
32. Lin TP, Yang SR, Matzarakis A (2015) Customized rating assessment of climate suitability (CRACS): climate satisfaction evaluation based on subjective perception. Int J Biometeorol 59(12):1825–1837
33. Long HL, Tang GP, Li XB (2007) Socio-economic driving forces of land-use change in Kunshan, the Yangtze River Delta economic area of China. J Environ Manag 83(3):351–364
34. Lu J, Li C, Yu C, Jin M, Dong S (2012) Regression analysis of the relationship between urban heat island effect and urban canopy characteristics in a mountainous city, Chongqing. Indoor and Built Environ 21(6):821–836
35. Lüttig G (1978) Geoscientific maps for land-use planning: a certain approach how to communicate by new types of maps. Cartography 18:95–101
36. Mallick J, Rahman A (2012) Impact of population density on the surface temperature and micro-climate of Delhi. Curr Sci 102:1708–1713
37. Matzarakis A, Endler C (2010) Adaptation of thermal bioclimate under climate change conditions—the example of physiologically equivalent temperature in Freiburg, Germany. Int J Biometeorol 54:479–483
38. Matzarakis A, Mayer H, Iziomon MG (1999) Applications of a universal thermal index: physiological equivalent temperature. Int J Biometeorol 43(2):76–84
39. Matzarakis A, Rutz F, Mayer H (2007) Modelling radiation fluxes in simple and complex environments—application of the RayMan model. Int J Biometeorol 51(4):323–334
40. Matzarakis A, Rockle R, Richter C, Hofl H, Steinicke W, Streifeneder M, Mayer H (2008) Planungsrelevante Bewertung des Stadtklimas—Am Beispiel von Freiburg im Breisgau. Gefahrstoffe Reinhalt Luft 68:334–340
41. Mayer H, Höppe P (1987) Thermal comfort of man in different urban environments. Theor Appl Climatol 38(1):43–49
42. Oke TR (1973) City size and the urban heat island. Atmos Environ 7:769–779
43. Oke TR (1987) Boundary layer climates. 2nd ed. Methuen
44. Peterson TC, Owen TW (2005) Urban heat island assessment: metadata are important. J Clim 18:2637–2646
45. Quan P, Leephakpreeda T (2015) Assessment of wind energy potential for selecting wind turbines: an application to Thailand. Sustain Energy Technol Assess 11:17–26
46. Ren C, Ng E, Katzschner L (2010) Urban climatic map studies: a review. Int J Climatol 31(15):2213–2233
47. Ren C, Spit T, Lenzholzer S, Yim HLS, Heusinkveld B, van Hove B, Katzschner L (2012) Urban climate map system for Dutch spatial planning. Int J Appl Earth Obs Geoinf 18:207–221
48. Ren C, Lau KL, Yiu KP, Ng E (2013) The application of urban climatic mapping to the urban planning of high-density cities: the case of Kaohsiung, Taiwan. Cities 31:1–16
49. Schwarz N, Schlink U, Franck U, Großmann K (2012) Relationship of land surface and air temperatures and its implications for quantifying urban heat island indicators—an application for the city of Leipzig (Germany). Ecol Indic 18:693–704
50. Seto KC, Shepherd JM (2009) Global urban land-use trends and climate impacts. Curr Opin Environ Sustain 1:89–95
51. Smith C, Lindley S, Levermore G (2009) Estimating spatial and temporal patterns of urban anthropogenic heat fluxes for UK cities: the case of Manchester. Theor Appl Climatol 98(1–2):19–35
52. Suder A, Szymanowski M (2014) Determination of ventilation channels in urban area: a case study of Wrocław. Pure Appl Geophys 171:965–975
53. Sun D, Kafatos M (2007) Note on the NDVI-LST relationship and the use of temperature-related drought indices over North America. Geophys Res Lett 34(24):L24406
54. UN. World Urbanization Prospects (2014) Revision. United Nations Department of Economic and Social Affairs
55. VDI (1998) Methods for the human biometeorological evaluation of climate and air quality for the urban and regional planning at regional level. Part I: climate. VDI guideline 3787. Part 2. Beuth, Berlin
56. Wang WW, Zhu LZ, Wang RC (2004) An analysis on spatial variation of urban human thermal comfort in Hangzhou, China. J Environ Sci (China) 16:332–338
57. Weier J, Herring D (2000) Measuring vegetation (NDVI & EVI). NASA Earth Observatory http://earthobservatory.nasa.gov/Features/MeasuringVegetation/
58. Weng Q, Rajasekar U, Hu X (2011) Modeling urban heat islands and their relationship with impervious surface and vegetation abundance by using aster images. IEEE Trans Geosci Remote Sens 49:4080–4089
59. Wong MS, Nichol JE (2013) Spatial variability of frontal area index and its relationship with urban heat island intensity. Int J Remote Sens 34(3):885–896
60. Wong MS, Nichol JE, To PH, Wang J (2010) A simple method for designation of urban ventilation corridors and its application to urban heat island analysis. Build Environ 45(8):1880–1889
61. Wong MS, Nichol JE, Ng YY (2011) A study of the “wall effect” caused by proliferation of high-rise buildings using GIS techniques. Landscape Urban Plan 102(4):245–253
62. Xiao RB, Ouyang Z, Zheng H, Li WF, Erich S, Wang XK (2007) Spatial pattern of impervious surface and their impacts on land surface temperature in Beijing, China. J Environ Sci 19(2):250–256
63. Yim SHL, Fung JCH, Lau AKH, Kot SC (2007) Developing a high-resolution wind map for a complex terrain with a coupled MM5/CALMET system. J Geophys Res 12:D05106
64. Zhang W, Mak CM, Ai ZT, Siu WM (2011) A study of the ventilation and thermal comfort of the environment surrounding a new university building under construction. Indoor Built Environ 21:568–575