Based on climate data and social statistics of Guangzhou observatory from 1952 to 2014,this paper used Linear trend analysis, Morlet wavelet transform analysis, Mann-Kendall mutation test etc., to analyze the trend of climate change in Guangzhou nearly 65 years. The results showed that climatic conditions in Guangzhou in recent 65 years showed a warming and drying trend and this trend had becom...

Analyzing monitoring data efficiently is a classic problem in structural health monitoring. A nonparametric test method, the Mann–Kendall (MK) was implemented this study, which commonly used to detect monotonic trends series of environmental data. Using MK three types time were studied: stress measured concrete prism compression test, resultant force obtained from pseudostatic reinforced masonr...

in this research the temporal-spatial changing trend of nightly temperatures in isfahan province has been studied with the purpose of manifesting temperature changes, recognition of temperature abnormality and comparison for the two methods of pixel and station. on this basis, the data of the minimum temperature average of 21 synoptic and climatology stations were processed in the said province...

abstract climate variability empowers critical consequences on sustainability of soil and water resources. in this paper the trend of annual and seasonal time scale of temperature (minimum, maximum, average), relative humidity (minimum, maximum, average), precipitation, wind speed, extreme events, cloudiness, reference evapotranspiration employing mann-kendall and least square errors were studi...

Abstract Mean monthly streamflow records of ten gauging stations in the Mae Klong River Basin, Thailand, were analyzed for trends using non-parametric approaches period 2000–2015. The statistical significance was tested on monthly, seasonal, and annual scales three tests; Mann–Kendall (MK), Spearman's rho (SR), innovative trend analysis (ITA) a 5% level. grouped into two categories: naturalized...