(ICL),, 5 ( ), 40,, , [2,15-19], 3, (THI) (WCI) ( 1) 1 Tab.1 THI WCI and ICL grade standard,, ( ); 3, ;, 1 1, Fig.1 Structur

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1 PROGRESS IN GEOGRAPHY Vol.28, No.5 Sept., 2009, (, ) :,, 26,, 3 :,, ;, 4, W, M,, : ; ; ; ; 1,2006 ( )14, 4943, 259.5,, 80.5% 85.8%,, 28,,,,,,, ,, 30, 1966 (W H Terjung), [1] (Comfort Index) ;1973 (J E [2] Oliver) ;, [3],,, ( ) [4-6] [7-14],,,,,,, : ; : ( ); (03BJY0088),, 2 : : (1981-),, malijun@stu.snnu.edu.cn

714 28 (ICL),, 5 ( ), 40,, 9 7 5 3 1, [2,15-19], 3, (THI) (WCI) ( 1) 1 Tab.1 THI WCI and ICL grade standard,, ( ); 3, 9 7 5 3 1 ;, 1 1, Fig.

2 (ICL),, 5 ( ), 40,, , [2,15-19], 3, (THI) (WCI) ( 1) 1 Tab.1 THI WCI and ICL grade standard,, ( ); 3, ;, 1 1, Fig.1 Structure of comprehensive climate comfort index ; dcd dbd ccd ebd, 3< C< 5 ; ede ece ecd, 1<C 3, [15],,, 4 :1,, : C=0.6X THI +0.3X WCI +0.1X ICL (1) :X THI X WCI X ICL,, ,,, 1~27, 1~108 ;3 AAA BAA AbA bbb, 7 C 9 ; cbc CBB, 5 C<7, ;2,

3 5 : 715 ; 4,, ;1-2 12,7-8,, , ;5-9 3,,1 12,4-10,,, (WCI),, ( ) ;5-9, , 7-8, ,4-10 3,,,, , ( 2), ;5-7 (THI),,,,, (ICL),, ;, , ;, , 1-3, , ;,

4 , 25 ;,, ;, 3.2,,,, ,,, 3, 3,,,,,, 5-9,,, ,, 4,, SPSS, ,, , 5-6, :, (1), , 5-9,, 40.6,, 5 6 8,,, 4,, 5-9

5 5 : 717 6,, ; (2), M, 24.5~39.8, ; U,, 14,, ;,, , , ,,, (3), 3, (6-8 ), 18.1~23.4, ;, 7 (12-2 ), ;,, 1-4,, 11-12, 6-9,, (3-5 ) (9-11 ), 6 8,, 4 40 ; 23.5, 4, 3, 2, 4 2,,, [20] U,

6 718 28, ) ( 4), 4 4, 53, %; 7, 63, 81, 19.9%; 5, 69, 173, %; 6, 71, 266, 49.1%; 3 10,, 46, 16, 1.5%, ,,, ;,,, ( ,, %~7.0%;2-4, ;11-12,, W , , ,, M ,,,, 8.9%~ 8.7%~14.1%, 10.8%;7-8,,, 3, 7.0%;1-2, U ; %~4.9%;2-4, ;9-, ;11-12, 11, , M , 8.8%~10.4%;7 ; , 9.3%~

7 5 : Fig.4 Monthly variation of inbound tourists in Harbin Fig.5 Monthly variation of inbound tourists in Beijing 6 7 Fig.6 Monthly variation of inbound tourists in Nanjing Fig.7 Monthly variation of inbound tourists in Hainan 12.6%;5-9,,,, 6.3%~7.0%; 3-5 0,, ;10-12, ",, ",, ; ;,, " ", 5, 4.3, ; ( ),,,, :,,,,,,

8 , 1, ( )0.549 (OLS),, 4.3.3, (2): Q i = C i T i (2) r=0.8724,f=14.33, :Q i,c i, 3S, ( ),T i, , ,,4 0 1,12 ( )0.736, 4.3.2, OLS (5): Q i = C i T i (5),, r=0.9367,f= :T i,4 12, 1, 0, 1, ( ) , OLS (3): Q i = C i T i (3) r=0.8088,f=8.51,, 4.3.1, ", 3, ",, " " 3 OLS, (4):, Q i = C i (4), r=0.8346,f=22.95, OLS 1 ( ) :T i,10 1, 0,

9 5 : 721, 0.951,, 0.589, 26,,, ;, [1] Terjung W H. Physiologic climates of the contentious U-,, nited States: A bioclimatic classification based on man. Annal A.A.G., 1966, 5(1): , [2] Oliver J E. Climate and Man s Environment: An Introduction to Applied Climatology. New York: John Wiley &,, Sons. Inc, 1973: [3] Houghton D D. Handbook of Applied Meteorology. New York: John Wiley & Sons. Inc, 1985: ;, [4] Thom E C. A new concept for cooling degree days.air Condition: Heat & Ventilation, 1957, 54: [5] Thom E C. Cooling degree days. Air Condition: Heat &, Ventilation, 1958, 55: [6] Terjung W H. World pattern of the distribution of monthly comfort index. Int. J. Biometeorol, 1968, 12: , ( )26 [7],,,.., 1984, 34(1): , [8],,..,, 1998, (1): [9],,,. 3 :,., 2004, 23(6): , U ; [10],,,.., , 25(11): [11],.., M ;, 1997, (2): ,, [12],,,. U., 2006, 26(3): , 26 [13],.., 1985, 40, (2): [14],.., 1982, 37(2): , [15],..,,, 1998, 13(4): W, [16],.. M, 2005, 19(2): [17],,..,, 2007, 29(1): [18] De Freitas C. Human climates of northern China. Atmospheric Environment, 1979, 13: : [19],,,.,., 2007, 29(6): , [20], ,., 2007, 22(7):34-39.

10 Evaluation of Tourism Climate Comfortableness of Coastal Cities in the Eastern China MA Lijun, SUN Gennian, WANG Jiejie (College of Tourism and Environment Science, Shaanxi Normal University, Xi an , China) Abstract: A new comprehensive comfort index is founded based on assignment of THI, WCI and ICL. This new index has some peculiarity like comparable, plus able and so on. The climate comfortable degree of 26 cities in eastern China is analyzed by the new index; the grades of fitness and its timely distribution are divided. The North-South variation of climate comfortable degree is analyzed. The 26 cities are divided into three types based on the distribution of comfortable period of a year. The annual comprehensive comfort index in 25 N is the highest, the annual comprehensive comfort index goes up as the latitude reduces in the north of 25 N, the annual comprehensive comfort index goes down as the latitude reduces in the south of 25 N. In summer the comprehensive comfort index goes up as the latitude increases. This shows that the north has a more comfort climate. In winter the comprehensive comfort index goes up as the latitude reduces. This shows that the south has a more comfort climate. Monthly variation of inbound tourists in the four typical cities are surveyed, the monthly variation of inbound tourists and its differences between North and South are revealed, and the dull season and busy season for tourism are divided. Monthly variation of inbound tourists in Harbin presents a W -shaped pattern, monthly variation of inbound tourists in Beijing and Nanjing a M-shaped pattern, and Haikou s monthly variation of inbound tourists a wide U -shaped pattern. Based on the comparison of monthly index of tourists and climate comfort degree and numerical valued special factors, the simulated model of the monthly index of inbound tourists is founded by the way of OLS. Key words: climate comfort degree; monthly variation of tourists; correlative analysis; differences between North and South; comprehensive comfort index; China

06王胜

06王胜第 31 卷第 1 期 2012 年 01 月地理科学进展 PROGRESS IN GEOGRAPHY Vol.31, No.1 Jan., 2012 近 50 年安徽省气候舒适度变化特征及区划研究王胜, 田红, 谢五三, 唐为安, 丁霞 ( 安徽省气候中心, 合肥 230031) 1 引言摘要 : 利用安徽