Climate change and human activities are two major drivers that alter hydrological cycle processes cause changes in spatio-temporal distribution of water availability. Streamflow as the most important component hydrologic is expected to be influenced by climate well activities. Three methods including sensitivity procedure, slope ratio cumulative quantity modeling SWAT investigated compared for ...

Abstract. The Hydrologic Reference Stations is a network of 467 high-quality streamflow gauging stations across Australia that developed and maintained by the Bureau Meteorology as part an ongoing responsibility under Water Act 2007. main objectives service are to observe detect climate-driven changes in observed provide quality-controlled dataset for research. We investigate trends step data f...

The complexity of streamflow processes inhibits significant information about catchment performance and its sensitivity to climate change. Little is known the severity change within coastal area monsoon–subtropical zone climatic transition. This study advances a quasi-local scale analysis simplify daily dynamics their relationship with monthly hydro-climatic series (1981–2020) using six gauging...

The motion of particles and feeding currents created by micro-organisms due to a flagellum are considered. The calculations are pertinent to a range of sessile organisms, but we concentrate on a particular organism, namely Salpingoeca amphoridium (SA) (a choanoflagellate), due to the availability of experimental data (Pettitt, 2000). These flow fields are characterized as having very small Reyn...

In this paper, a Bayesian change-point model was used to examine the phenological changes in the predominant crop producing states of U.S over a 33-year period (1981–2013). Changes of phenological observation were categorized into a no-change model and two change models. The change point and intensity of shifts were subsequently estimated under the selected change model. The experiments were co...

This work is motivated by a mobility study conducted in the city of Munich, Germany. The variable of interest is a binary response, which indicates whether public transport has been utilized or not. One of the central questions is to identify areas of low/high utilization of public transport after adjusting for explanatory factors such as trip, individual and household attributes. For the spati...

In this paper we consider regression models for count data allowing for overdispersion in a Bayesian framework. We account for unobserved heterogeneity in the data in two ways. On the one hand, we consider more flexible models than a common Poisson model allowing for overdispersion in different ways. In particular, the negative binomial and the generalized Poisson distribution are addressed whe...