hydrological drought refers to a persistently low discharge and volume of water in streams and reservoirs, lasting months or years. hydrological drought is a natural phenomenon, but it may be exacerbated by human activities. hydrological droughts are usually related to meteorological droughts, and their recurrence interval varies accordingly. this study pursues to identify a stochastic model (o...

At present, new technologies are becoming available to extend the coverage of conventional meteorological datasets. An example is the TMPA-3B42R dataset (research – v6). The usefulness of this satellite rainfall product has been investigated in the hydrological modeling of the Vinces River catchment (Ecuadorian lowlands). The initial TMPA3B42R information exhibited some features of the precipit...

introduction: studying the hydrological cycle, especially in large scales such as water catchments, is difficult and complicated despite the fact that the numbers of hydrological components are limited. this complexity rises from complex interactions between hydrological components and environment. recognition, determination and modeling of all interactive processes are needed to address this i...

Streamflow estimates are substantially important as fresh water shortages increase in arid and semi-arid regions where evapotranspiration (ET) is a significant contribution to the water balance. In this regard, evapotranspiration data can be assimilated into a distributed hydrological model (SWAT, Soil and Water Assessment Tool) for improving streamflow estimates. The SWAT model has been widely...

In the past decade, difficulties encountered in reproducing the results of a cancer study at Duke University resulted in a scandal and an investigation which concluded that tools used for data management, analysis, and modeling were inappropriate for the documentation of the study, let alone the reproduction of the results. New protocols were developed which require that data analysis and model...

This manuscript describes a modeling study of forest water fluxes and biomass changes under different rainfall regimes. The model was developed based on FORMIND with a new extension of forest hydrological cycle added. They run the model for both a young and an old-growth stands of temperate rainforest under current and future climate scenarios and compared the modeling results with measurements...

The history of remote sensing and development of different sensors for environmental and natural resources mapping and data acquisition is reviewed and reported. Application examples in urban studies, hydrological modeling such as land-cover and floodplain mapping, fractional vegetation cover and impervious surface area mapping, surface energy flux and micro-topography correlation studies is di...

This manuscript describes a modeling study of forest water fluxes and biomass changes under different rainfall regimes. The model was developed based on FORMIND with a new extension of forest hydrological cycle added. They run the model for both a young and an old-growth stands of temperate rainforest under current and future climate scenarios and compared the modeling results with measurements...

a r t i c l e i n f o Catchment scale hydrological models are critical decision support tools for water resources management and environment remediation. However, the reliability of hydrological models is inevitably affected by limited measurements and imperfect models. Data assimilation techniques combine complementary information from measurements and models to enhance the model reliability a...

The information needed for River Basin Management covers a wide range of hydrological and environmental data and methods. Since all measurement data are spatial and time related, spatial services fulfill the requirements in a decision making process best. In this work an open data structure for storing spatial temporal related data is proposed. Based on the data structure the modeling process c...