Review on Regional Water Resources Assessment Models under Stationary and Changing Climate

Abstract

Abstract.A comprehensive assessment of the water resources available in a region or a river basin is essential for finding sustainable solutions for water-related problems concerning both the quantity and quality of the water resources. Research on the development and application of water balance models at different spatial and temporal scales has been carried out since later part of the 19th century. As a result, a great deal of experience on various models and methods has been gained. This paper reviews both traditional long-term water balance methods and the new generation distributed models for assessing available water resources under stationary and changing climatic conditions at different spatial and temporal scales. The applicability and limitations of the methods are addressed. Finally, current advances and challenges in regional-and large-scale assessment of water resources are presented.

Modelling stream flow with a discrete rainfall–runoff model and 37 GHz PDBT microwave observations: the Xiangjiang River basin case study

“…(3)) and improve the model performance. Precipitation is redistributed into different component flows, which reach river channels with different time lags (Beven and Kirkby, 1979;Moore, 1985;Sivapalan et al, 1987;Todini, 1996;Wood et al, 1992;Xu and Singh, 2004). Assuming model calibration is accurate, 25 including the estimation of time-lags, the precipitations in Eq.…”

“…(3), i.e. to determine the weight w i , we partition the stream flow into different component flows as done by Xu and Singh (2004). We assume that there is an antecedent time step, i.e.…”

Impact of Climate Change on Water Resources in Taiwan

“…Following the scales from global scale to regional scale to basin scale, the ability of climate models will weaken for hydrological need (Xu and Singh 2004). The purpose of this study is to investigate regional water resources in Taiwan.…”

“…In theory, renewable water resources (i.e., surface and groundwater flows from rain and snowfall) can be used efficiently, and research has already produced estimation methods (Pike 1964;Kite et al 1994;Xu et al 1996;Arnell 1999;Xu and Singh 2004;Shiklomanov et al 2010). This paper follows earlier studies of estimating renewable water resources (Tsai and Huang 2011) as follows: Figure 2 shows the flowchart for estimating regional renewable water resources under the impact of climate change.…”

Identification of hydrologic drought triggers from hydroclimatic predictor variables

“…However, the strength of such models lies in examining long-term consequences of management practices rather than monthly forecasts. There are many conceptual lumped-parameter models developed in the last four decades, mainly for flood forecasting, with one day or shorter time resolutions [Xu and Singh, 2004], but their predictive capabilities are very limited if the time horizon exceeds several days.…”