Climate change has often led to severe impact on the environment. This study aimed to investigate the monthly trends and linearity of meteorological parameters at four locations during the period from 1970 to 2016. These locations represent the south, north, east, and west of Peninsular Malaysia. The meteorological parameters used were monthly total precipitation (mm) and monthly average temperature (°C). To illustrate the methodology, the Mann–Kendall (MK) trend test and a non-parametric regression model were used. The MK trend test did not indicate significant trends in precipitation, but indicated a trend in temperature for all locations. The Sen value gives the amount of fluctuation of precipitation and temperature for every year. The results of the linearity test exhibited a linear trend for precipitation and temperature for most of the months throughout the study period. Thus, this study gives insights into the monthly trends of meteorological parameters, especially in Peninsular Malaysia.
Land use and land cover change gives significant impact on changes in surface runoff, flood frequency, baseflow and also average yearly discharge. This study attempts to analyze trend by using non-parametric tests namely Mann-Kendall test and Sequential Mann-Kendall test. The first is used to determine the presence of monotonic trend whilst the latter is used to detect any possible fluctuations of trend in the data series. Location which is considered for analysis is at Kajang Station, Malaysia with recorded data between 1978 to 2017. Based on the result, there are presence of increasing monotonic trend every month except during September and November, based on the calculated p-value. The sequential Mann-Kendall also shows that there is break point or change point during 2004. It is important to study on present trend and pattern of hydrological parameters since it can be used to assist in water resources planning, design and management.
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