My thesis in sociology takes place in a big research program studying contaminated storm water in urban areas in order to develop new processes to cope with pollution. Most of the researchers of the program are biologists, chemists, hydrologists. The study also conveys sociology insisting on the importance of a multidisciplinary approach. Why would a sociologist be needed to help understand a t...

The lack of sufficient water quality data in many places hinders the efforts of surface water quality modeling, and therefore affects the process of water quality management. In this paper, the potential of an object-oriented simulation environment for surface water quality management, based on the concepts of system dynamics (OO-SD), is discussed. The characteristics, along with a brief explan...

Frequency Modulated Continuous Wave (FMCW) radars have been used by snow scientists for the past 30 years. This radar technology provides a promising alternative to point measurements, as properties such as snow depth can be measured quickly and nondestructively. Recent advances in microwave FMCWradar technology have resulted in lightweight, portable instrumentation. This is in contrast to the ...

Lightweight sonar devices may be tethered to an unmanned aerial vehicle or drone and quickly deployed over water for real-time imaging in 2D the on site creation of geolocated, interactive bathymetric maps without need a boat. We show how such data is useful preliminary stages searches, by providing geophysicists, hydrologists divers with spatial depth information, distribution dive equipment h...

Abstract. Inspired by a quotation from Howard Cook in 1946, this paper traces the evolution of infiltration theory runoff work Robert Horton and LeRoy Sherman 1930s to early digital computer models 1970s 1980s. The reasons for popularity are considered its impact on way which hydrological responses were perceived several generations hydrologists. Reconsideration perceptual model many catchments...

Water flows through forests in many ways, so it is difficult to understand and predict where when will flow. Understanding how water important, as affects of the services that offer people, like lumber for houses cleaner air. scientists (called hydrologists) have a way reduce complex flow forest into something we can explain with simple math: they turn buckets! In this article, describe “water ...

Abstract Whether river flows remain stationary is of great concern to hydrologists, water engineers, and society in general, yet subject substantial debate. Here we provide the first comprehensive assessment long-term stationarity annual streamflow for 11 069 catchments globally. Our observation-based evidence shows that remains 79% with minimal human disturbance, indicating historical climate ...

With more machine learning methods being involved in social and environmental research activities, we are addressing the role of available information for model training performance. We tested abilities several models short-term hydrological forecasting by inferring linkages with all predictors or only those pre-selected a hydrologist. The used this study were multivariate linear regression, M5...

At the regional scale, vadose-zone processes are recognized for controlling both short-term dynamics in watershed hydrology and long-term water balances of hydrologic basins. In this paper we explore the various conceptual and mathematical models that have been proposed or could be considered to represent water fluxes in the vadose zone at the catchment, watershed or regional scale. Such models...

Abstract. The most accurate rainfall–runoff predictions are currently based on deep learning. There is a concern among hydrologists that the predictive accuracy of data-driven models learning may not be reliable in extrapolation or for predicting extreme events. This study tests hypothesis using long short-term memory (LSTM) networks and an LSTM variant architecturally constrained to conserve m...