干旱区生态环境知识资源中心(Arid): Analyzing WSTP trend: a new method for global warming assessment

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DOI	10.1007/s10661-021-09600-2
	Analyzing WSTP trend: a new method for global warming assessment
	Alamdarloo, Esmail Heydari; Moradi, Ehsan; Abdolshahnejad, Mahsa; Fatahi, Yalda; Khosravi, Hassan; da Silva, Alexandre Marco
通讯作者	Khosravi, H (corresponding author), Univ Tehran, Fac Nat Resources, Dept Arid & Mt Reg Reclamat, Tehran, Iran.
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2021
卷号	193 期号:12
英文摘要	This paper tries to introduce a time-series of temperature parameters as a potential method for studying the global warming. So, we investigated the spatial-temporal variations of warm-season temperature parameters (WSTP), including start time, end time, length of season, base value, peak time, peak value, amplitude, large integrated value, right drive, and left drive, using a database of 30 years' period in different climates of Iran. We used daily temperature data from 1989 to 2018 over Iran to extract the parameters by TIMESAT software. We studied the trend analysis of WSTP through the Mann-Kendall method. Then, we considered the Pearson correlation coefficient to calculate the correlation between WSTP and time. We assessed the trends of the slope using a simple linear regression method. Then, we compared the results of the WSTP trend analysis in climatic zones. Our results accused the hyper-arid climatic zone has the longest warm season (194.89 days a year). The warm season in this region starts earlier than other regions and increases with moderate speed (left drive, 0.19 degrees C day(-1)). Then, it reaches a peak value (31.3 degrees C) earlier than the different climatic zones. On the other hand, the humid regions' warm season starts with the shortest length and ends later than the other climatic zones (112.1 and 297.5 days a year for start and end times, respectively). We detected that the trend of the start time parameter has decreased by 98.02% of the study area during the last 30 years. The base value, length, and large integrated value parameters have an increasing trend of 66.47%, 80.11%, and 92.95% in Iran. The highest correlation coefficient with time was for start time and large integrated value parameters. Hence, the start time and large integrated value parameters have almost the most negative (< - 0.5) and positive (> 5) trend slope, among other parameters, respectively. In general, these results demonstrate that the studied region has faced global warming impacts over time by increasing the warm season and thermal energy, especially in arid and hyper-arid. We highlight the necessity of planning the land use under the high natural vulnerability of the studied local, especially in this new age of global warming.
英文关键词	Spatial-temporal variations of WSTP TIMESAT Mann-Kendall Pearson correlation coefficient Simple linear regression
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000718849200002
WOS关键词	AIR-TEMPERATURE ; CLIMATE-CHANGE ; MINIMUM TEMPERATURE ; WATER-RESOURCES ; VARIABILITY ; IRAN ; PRECIPITATION ; MAXIMUM ; IMPACT ; RAINFALL
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368116
作者单位	[Alamdarloo, Esmail Heydari; Moradi, Ehsan; Abdolshahnejad, Mahsa; Fatahi, Yalda; Khosravi, Hassan] Univ Tehran, Fac Nat Resources, Dept Arid & Mt Reg Reclamat, Tehran, Iran; [da Silva, Alexandre Marco] Sao Paulo State Univ, UNESP, Inst Sci & Technol Sorocaba, Dept Environm Engn, Sorocaba, SP, Brazil
推荐引用方式 GB/T 7714	Alamdarloo, Esmail Heydari,Moradi, Ehsan,Abdolshahnejad, Mahsa,et al. Analyzing WSTP trend: a new method for global warming assessment[J],2021,193(12).
APA	Alamdarloo, Esmail Heydari,Moradi, Ehsan,Abdolshahnejad, Mahsa,Fatahi, Yalda,Khosravi, Hassan,&da Silva, Alexandre Marco.(2021).Analyzing WSTP trend: a new method for global warming assessment.ENVIRONMENTAL MONITORING AND ASSESSMENT,193(12).
MLA	Alamdarloo, Esmail Heydari,et al."Analyzing WSTP trend: a new method for global warming assessment".ENVIRONMENTAL MONITORING AND ASSESSMENT 193.12(2021).