Comparison of hydrological impacts of climate change simulated by six hydrological models in the Dongjiang Basin, South China

Assessment of Trends and Variability of Rainfall and Temperature for the District of Mandi in Himachal Pradesh, India

“…The utmost and direct effects of global warming would be on changes in the local and regional availability of water (Jiang et al 2007). Recent droughts in northern India and unprecedented floods in parts of Southern India are seen as an indicator of current climate changes, and changes in the patterns of the monsoon in the northern parts affect the country's agriculture since India is an agriculture-dependent economy, and monsoons are the lifeline of the agriculture sector (Sharif et al 2013).…”

“…Non-parametric methods have been found to be suitable for data commonly skewed, and the sample size is large (Hirsch et al 1982). Parametric trend tests are more powerful than non-parametric ones, but they require data to be independent and normally distributed (Chen et al 2007). The main advantage of the Mann-Kendall test is that it is free from the assumption of the normality of the data and can tolerate outliers in the data series (Hamid et al, 2013).…”

“…The main advantage of the Mann-Kendall test is that it is free from the assumption of the normality of the data and can tolerate outliers in the data series (Hamid et al, 2013). The M-K test has been approved as a powerful tool to detect trends in hydro-meteorological time series (Chen et al 2007). Nonparametric tests have various advantages over parametric ones.…”

Response of hydrological processes to climate change in the middle reaches of the Yellow River, China

“…Xu et al (2005) and Jiang et al (2007) argued that the impact of climate change on water resources and corresponding countermeasures against climate change have been the focus of scientific investigation over the past two decades. Due to the socio-economic importance of water resources, future hydrological processes need to be assessed as soon as possible.…”

The use of global gridded datasets in a hydrological model for a scarce-data Andean watershed

“…Actually there exist many tools to support the water resources planning and management. Such tools as hydrological models, have been widely accepted by the hydrological community, helping in researches like the understanding of hydrological processes (Fenicia et al [2]), water resources availability (Shuol et al, [3]), climate change impact (Alcamo et al [4], Jiang et al [5]), and land-use change assessments (Legesse et al [6], Lin et al [7]). However the problem is that the hydrological models application and use is still limited by the data availability, and therefore, the scope of investigations on scarce-data environments are limited.…”