Trend Analysis of Precipitation in the Jinsha River Basin in China

Abstract

According to the mean seasonal and annual precipitation from 30 meteorological stations in the periods of 1961-2008, the precipitation trends are analyzed by using the Mann-Kendall (MK) test in the Jinsha River basin (JRB). Both the temporal and spatial distribution characteristics of precipitation trends in different regions in the JRB are studied for the first time in this paper. There is a slight and insignificant increasing trend in seasonal and annual precipitation except for autumn precipitation, and the annual precipitation has increased by 0.7634 mm yr 21 during the last 48 years. The increasing precipitation trends in spring seem more significant than those in the other three seasons, and autumn is the only season showing a slight and insignificant decreasing precipitation trend. There are more than 80% of stations exhibiting increasing trends for annual precipitation, and it goes to 90% for spring precipitation. The increasing precipitation trends in the headwater and the middle reaches are more dominant than those in the upper and lower reaches. The largest increase magnitude occurred in the less precipitation area, while the largest decrease magnitude occurred in the more precipitation area. The increasing trend of minimum precipitation series and decreasing trend of maximum precipitation series could result in a decreasing trend for the range series in the JRB. In general, the increasing trends of precipitation in the tributary (the Yalong River) are more significant than those in the mainstream (the Jinsha River). The results of this study will provide further knowledge for understanding on the climate change in the JRB.

Spatio-temporal trends of mean air temperature during 1961–2009 and impacts on crop (maize) yields in the most important agricultural region of Romania

“…Given this context, the two methods are widely used in specialized literature focusing on climatic data trend analysis (Tabari and Hosseinzadeh Talaee 2011;Wang and Zhang 2012;Croitoru et al 2013a, b;Meng et al 2013;Tabari and Hosseinzadeh Talaee 2013;Wang et al 2013;Ageena et al 2014;Appiotti et al 2014;Dumitrescu et al 2014;Liu et al 2014;Tao et al 2014;Khalili et al 2015;Prȃvȃlie and Bandoc 2015;Bandoc and Prȃvȃlie 2015;Tabari et al 2015;Zhang et al 2015;Zhu et al 2015 etc. ).…”

Drought Assessment and Projection under Climate Change: A Case Study in the Middle and Lower Jinsha River Basin

“…Future, this research tried to identify the spatial and temporal variability of drought in the MLJRB over the recent decades and next several decades with the observed daily meteorological data and bias-corrected climate dataset from five general circulation models (GCMs) so as to provide beneficial reference to drought management and risk assessment. [21]. The Jinsha River, the upper reach of the Yangtze River, is about 3464 km in length and passes through a range of landscapes, originating in Qinghai-Tibet Plateau, cutting through Western Sichuan Plateau, Hengduan Mountains and Yunnan-Guizhou Plateau to the mountain area of Southwest Sichuan [22] (Figure 1).…”

Spatiotemporal variability of temperature trends on the southeast Tibetan Plateau, China

“…The MK test has been commonly used to assess the significance of monotonic trends in climatic time series (e.g. Zhang and Du, 2008;Vijay and Sharad, 2010;Wang and Zhang, 2012;Cuo et al, 2013;Wang et al, 2013;Manish, 2014;Zhang et al, 2015;Ding et al, 2016;Xu et al, 2016;Zeng et al, 2016). There are two test statistics in the MK test: the trend estimator (Z) and magnitude of the trend slope ( ) (Sen, 1968;Hirsch et al, 1982;Gan, 1998).…”