Environmental monitoring in ecological and hydrological watershed-scale research is an important and promising area of application for wireless sensor networks. This paper presents the system design of the IPv6 wireless sensor network (IPv6WSN) in the Heihe River watershed in the Gansu province of China to assist ecological and hydrological scientists collecting field scientific data in an extr...

A strong environmental change has been recognized in China with the impacts of climate change and intensive human activities on land use. In this paper, first environmental changes in China, such as those caused by human activities, land use, climate change, and social and economic development, are presented. Secondly, the hydrological prediction models and systems and their application in Chin...

Historical drainage improvements have created complex hydrological regimes in many low-lying, wet coastal grassland areas. The manipulation of ditch water levels is a common management technique to maintain important in-stream and in-field habitats in such areas. However, in wet grasslands with low soil conductivities the water table in the centre of each field is not closely coupled to variati...

Collecting raw data from a wireless sensor network for environmental monitoring applications can be a difficult task due to the high energy consumption involved. This is especially difficult when the application requires specialized sensors that have very high energy consumption, e.g. hydrological sensors for monitoring marine environments. This paper introduces a technique for reducing energy ...

In this study, a framework to project the potential future climate change impacts on extreme hydrological drought events in the Weihe River basin in North China is presented. This framework includes a largescale hydrological model driven by climate outputs from a regional climate model for historical streamflow simulations and future streamflow projections, and models for univariate drought ass...

To better understand the mechanisms that hydrological conditions control chemical weathering and carbon dynamics in the large rivers, we investigated hydrochemistry and carbon isotopic compositions of dissolved inorganic carbon (DIC) based on high-frequency sampling in the Wujiang River draining the carbonate area in southwestern China. Concentrations of major dissolved solute do not strictly f...

The potential of an artificial neural network to perform simple non-linear hydrological transformations is examined. Four neural network models were developed to emulate different facets of a recognised non-linear hydrological transformation equation that possessed a small number of variables and contained no temporal component. The 5 modeling process was based on a set of uniform random distri...

19 The relationship between meroplankton distribution and spatio-temporal variability of coastal 20 mesoscale hydrological structure was investigated in the northern Bay of Biscay, NorthEast 21 Atlantic. For the three coastal polychaetes studied, i.e., Pectinaria koreni, Owenia fusiformis, 22 Sabellaria alveolata, the highest larval abundances were sampled in low salinity, low density and 23 hi...

Assessing the future effects of climate change on water availability requires an understanding of how precipitation and evapotranspiration rates will respond to changes in atmospheric forcing. Use of simplified hydrological models is required because of lack of meteorological forcings with the high space and time resolutions required to model hydrological processes in mountains river basins, an...