2016
DOI: 10.1155/2016/2564586
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Detecting Variation Trends of Temperature and Precipitation for the Dadu River Basin, China

Abstract: This study analyzes the variation trends of temperature and precipitation in the Dadu River Basin of China based on observed records from fourteen meteorological stations. The magnitude of trends was estimated using Sen’s linear method while its statistical significance was evaluated using Mann-Kendall’s test. The results of analysis depict increase change from northwest to southeast of annual temperature and precipitation in space. In temporal scale, the annual temperature showed significant increase trend an… Show more

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Cited by 6 publications
(7 citation statements)
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“…It is difficult to find identical results accross the world, but certain similar patterns exist. Wu et al (2016) detected significantly increasing annual air temperature and precipitation over the Dadu River basin in China. Analyzing the observed trends of precipitation and air temperature in the northeast part of Iran, Minaei and Irannezhad (2018) revealed: a) statistically increasing trend in case of annual precipitation (12.5% of the stations) and b) warming trend in case of annual air temperature (31% of the stations).…”
Section: Discussionmentioning
confidence: 99%
“…It is difficult to find identical results accross the world, but certain similar patterns exist. Wu et al (2016) detected significantly increasing annual air temperature and precipitation over the Dadu River basin in China. Analyzing the observed trends of precipitation and air temperature in the northeast part of Iran, Minaei and Irannezhad (2018) revealed: a) statistically increasing trend in case of annual precipitation (12.5% of the stations) and b) warming trend in case of annual air temperature (31% of the stations).…”
Section: Discussionmentioning
confidence: 99%
“…The NDD provides data on total dry days during the monsoon. The maximum number of consecutive dry or wet days was used to characterize the length of dry or wet periods (Vincent and Mekis 2006;Wu et al 2016). By referring to a previous research (Vinnarasi and Dhanya 2016), the dry day was defined as a day with rainfall less than 2.5 mm, while the wet day was defined as a day with rainfall of 2.5 mm or more rainfall.…”
Section: Analysis Of Relationship Between Rainfall and Rice Yieldmentioning
confidence: 99%
“…, the null hypothesis is recognized, and the trend is not significant. A trend is examined to be statistically significant if α ≤ 0.05 or ≥95% level [31].…”
Section: Trend Analysis 1) Mann-kendall Testmentioning
confidence: 99%