Dynamic Study on the Heat Island Effect and Landscape Pattern in Nanjing

doi:10.13466/j.cnki.lyzygl.2019.03.023

Abstract

Abstract:

In this study,Landsat5 TM(2000)and Landsat8 OLI_TIRS(2017)were used to derive land surface temperature based on radiative transfer equation,and the landscape pattern indices were calculated to analyze the evolution of the thermal landscape pattern in Nanjing.Then the relationship between urban landscape pattern and thermal environment was analyzed with mutiple linear regession model.The results showed that,from 2001 to 2014,the heat island effect was obviously enhanced,and the high temperature area of heat island increased substantially,and there was a higher growth in Liuhe,Jiangning and Pukou than that in other districts.The area and connectivity of heat island patch increased and the fragmentation decreased.The preponderance of heat island in the thermal landscape pattern increased.Generally,the fragmentation of thermal landscape in Nanjing was gradually reduced,and the patch shape was becoming regular,while the agglomeration and connectivity was increased.During the rapid urbanization process,the heat island effect can be mitigated by rational planning of urban layout and appropriately increasing the area of urban green space.

Key words: landscape pattern, ermal landscape, eat island effect, land surface temperature, Nanjing

CLC Number:

TU985

GUO Jiqiang, PAN Jie. Dynamic Study on the Heat Island Effect and Landscape Pattern in Nanjing[J]. FOREST RESOURCES WANAGEMENT, 2019, 0(3): 139-146.

Figures/Tables 10

Tab.1

Fig.1

Tab.2

Fig.2

Tab.3

Tab.4

Tab.5

Fig.3

Tab.6

Correlation coefficients between landscape pattern index and the surface temperature at the patch-class level

景观类型	年份	CA	PD	LPI	LSI	DIVISION	AI
建设用地	2017	0.89^**	0.20	0.76^**	0.74^**	-0.64^**	0.83^**
建设用地	2000	0.73^**	0.24^*	0.71^**	0.69^**	-0.67^**	0.72^**
林地	2017	-0.45^**	0.10	-0.52^**	0.10	0.47^**	-0.10
林地	2000	-0.39^**	0.01	-0.4 $9 * *$	-0.01	0.41^**	-0.14
水体	2017	-0.73^**	-0.20	-0.74^**	-0.05	0.70^**	-0.36^**
水体	2000	-0.67^**	-0.33	-0.65^**	-0.15	0.61^**	-0.33^**
耕地	2017	-0.36^*	0.63^**	0.03	0.84^**	-0.03	-0.46^**
耕地	2000	-0.26^*	0.62^**	0.01	0.71^**	-0.02	-0.41^**
草地	2017	-0.04	0.03	-0.11	-0.04	0.03	-0.14
草地	2000	-0.08	-0.01	-0.15	-0.04	0.06	-0.16
未利用地	2017	0.01	0.08	0.02	-0.03	-0.08	-0.02
未利用地	2000	0.16	0.06	0.12	0.12	-0.10	0.06

Tab.6

Fig.4

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热力等级	划分区间
高温区	T>u+std
次高温区	u+0.5std<T≤u+std
中温区	u-0.5std≤T≤u+0.5std
次低温区	u-std≤T<u-0.5std
低温区	T< u-std

热力等级	2000年		2017年
热力等级	面积/km²	比例/%	面积/km²	比例/%
低温区	658.8	10.01	870.14	13.21
次低温区	875.99	13.31	866.19	13.15
中温区	3334.81	50.67	2817.92	42.78
次高温区	1132.01	17.2	1114.52	16.92
高温区	579.82	8.81	918.23	13.94

热力等级	年份	PD	LPI	SHAPE_AM	COHESION
低温区	2000	1.82	3.52	7.41	98.70
低温区	2017	1.81	3.33	4.85	98.33
次低温区	2000	3.65	0.70	8.13	97.63
次低温区	2017	2.44	0.48	9.11	97.91
中温区	2000	2.65	24.53	98.69	99.82
中温区	2017	0.72	23.55	50.24	99.93
次高温区	2000	5.00	1.48	15.21	98.22
次高温区	2017	1.29	0.97	15.41	98.78
高温区	2000	1.18	0.61	5.08	97.60
高温区	2017	1.00	1.15	5.10	98.23

年份	NP	PD	SHAPE_AM	COHESION	SHDI	SHEI	AI
2000	93760	14.25	54.21	99.76	1.36	0.85	84.72
2017	47821.	7.27	39.49	99.74	1.47	0.76	88.25