HydroLogic BV

Amersfoort, Netherlands

HydroLogic BV

Amersfoort, Netherlands

Time filter

Source Type

Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2007.6.3 | Award Amount: 3.13M | Year: 2008

The main goal of the LENVIS project is to develop an innovative collaborative decision support network for exchange of location-based environmental and health services between all stakeholders, for enhanced capacity to assess population exposure and health risks and better management of the concerned ecosystems. LENVIS will include health indicators as integral part of the environmental management.There is a growing demand for real time and integrated environmental and health risk information. Provision of such location-based services linked to the state of the environment at particular geographical locations (addresses) is necessary for improving the quality of life of all people. This is essential for mitigation of environmental-related health threats associated to water quantity and quality, and outdoor air pollutions.LENVIS project aims to fill the existing gap between environmental management and the health management systems. This will be done by developing a generic ICT solution that combines service-oriented-architecture (SOA) and user-centric approach (peer-to-peer network, P2P) by fusion of location-based environmental and health data, information and modelling services. This novel collaborative peer-to-peer network, as an integral part of the Single Information Space for the Environment in Europe, will be validated through test cases on fresh surface water and outdoor air quality in the Netherlands, Portugal and Italy.LENVIS project will facilitate collaboration between different stakeholders, such as environmental protection agencies, health institutions and service providers, policy makers, citizens in general and environmental communities in Europe.


Alfonso L.,Hydroinformatics and Knowledge Management | Lobbrecht A.,Hydroinformatics and Knowledge Management | Lobbrecht A.,HydroLogic BV | Price R.,Hydroinformatics and Knowledge Management
Water Resources Research | Year: 2010

Data collection is a critical activity in the management of water systems because it supports informed decision making. Data are collected by means of monitoring networks in which water level gauges are of particular interest because of their implications for flood management. This paper introduces a number of modifications to previously published methods that use information theory to design hydrological monitoring networks in order to make the methods applicable to the design of water level monitors for highly controlled polder systems. The new contributions include the use of a hydrodynamic model for entropy analysis, the introduction of the quantization concept to filter out noisy time series, and the use of total correlation to evaluate the performance of three different pairwise dependence criteria. The resulting approach, water level monitoring design in polders (WMP), is applied to a polder in the Pijnacker region, Netherlands. Results show that relatively few monitors are adequate to collect the information of a polder area in spite of its large number of target water levels. It is found, in addition, that the directional information transfer DITYX is more effective in finding independent monitors, whereas DITYX is better for locating sets of monitors with high joint information content. WMP proves to be a suitable and simple method as part of the design of monitoring networks for polder systems. Copyright 2010 by the American Geophysical Union.


Alfonso L.,Hydroinformatics and Knowledge Management | Lobbrecht A.,Hydroinformatics and Knowledge Management | Lobbrecht A.,HydroLogic BV | Price R.,Hydroinformatics and Knowledge Management
Water Resources Research | Year: 2010

A method for siting water level monitors based on information theory measurements is presented. The first measurement is joint entropy, which evaluates the amount of information content that a monitoring set is able to collect, and the second measurement is total correlation, which evaluates the level of dependency or redundancy among monitors in the set. In order to find the most convenient set of places to put monitors from a large number of potential sites, a multiobjective optimization problem is posed under two different considerations: (1) taking into account the costs of placing new monitors and (2) considering the cost of placing monitors too close to hydraulic structures. In both cases, the joint entropy of the set is maximized and its total correlation is minimized. The costs are considered in terms of information theory units, for which additional terms affecting the objective functions are introduced. The proposed method is applied in a case study of the Delfland region, Netherlands. Results show that total correlation is an effective way to measure multivariate independency and that it must be combined with joint entropy to get results that cover a significant proportion of the total information content of the system. The maximization of joint entropy gives results that cover between 82% and 85% of the total information content. Copyright 2010 by the American Geophysical Union.


van Andel S.J.,UNESCO IHE | Price R.,UNESCO IHE | Price R.,HydroLogic Research BV | Lobbrecht A.,UNESCO IHE | And 5 more authors.
Journal of Water Resources Planning and Management | Year: 2014

Anticipatory water management uses weather forecasts and water system simulation models to take operational water management actions before an event occurs. In this paper a framework consisting of the different steps and challenges of developing and evaluating an anticipatory water management strategy is discussed. The framework makes use of recent developments in ensemble weather forecasting and modeling of controlled water systems. In particular, flexible water-system control models enable simulation of a wide range of control strategies in multiyear hindcast analyses. With the increasing number of archives for weather forecasts and water-system-state variables, and the reduction in computational time resulting from increasing processor speed and parallel computing, hindcast verification analysis will become the basis for development and optimization of new operational water management strategies. The framework is successfully applied to a flood control case study in the Netherlands. Archived ensemble precipitation forecasts of the European Centre for Medium-Range Weather Forecasts (ECMWF) were fed into a simulation model of the water system to create water-level hindcasts. Decision rules to take anticipatory flood control actions on the basis of these ensemble forecasts have been developed. The optimized decision rules proved successful in reducing total damage costs resulting from deviations from target water levels for an analysis period of seven years. © 2014 American Society of Civil Engineers.


Alfonso L.,Hydroinformatics Core | He L.,5th | Lobbrecht A.,Hydroinformatics Core | Lobbrecht A.,HydroLogic BV | Price R.,Hydroinformatics Core
Journal of Hydroinformatics | Year: 2013

The acquisition of good hydrologic information is an important issue in water management since it is the basis of decisions concerning the allocation of water resources to different users. However, sufficient data are often not available to describe the behaviour of such systems, especially in developing countries, where monitoring networks are inappropriately designed, poorly operated or are inadequate. Therefore, it is of interest to design and evaluate efficient monitoring networks. This paper presents two methodologies to design discharge monitoring networks in rivers using the concepts of Information Theory. The first methodology considers the optimization of Information Theory quantities and the second considers a new method that is based on ranking Information Theory quantities with different possible monitor combinations. The methodologies are tested for the Magdalena River in Colombia, in which the existing monitoring network is also assessed. In addition, the use of monitors at tributaries is explored. It is demonstrated that the ranking method is a promising way of finding the extremes of Pareto fronts generated during multi-objective optimization processes and that better (more informative and less redundant) monitoring network configurations can be found for the Magdalena River. © IWA Publishing 2013.


Einfalt T.,Hydroandmeteo GmbH and Co. KG | Lobbrecht A.,HydroLogic BV
IAHS-AISH Publication | Year: 2012

In the northeastern part of the Netherlands, the Dutch radars of De Bilt and Den Hélder have only limited coverage, while the German Emden radar is just opposite the border. Therefore, hydro&meteo and HydroLogic developed a new radar composite for this part of the Netherlands, starting from the basic polar radar products of both national weather services. The composite should be available in near-real time. The paper presents a case study of an interesting rainfall event, using various filtering and correction algorithms. The result shows very good results when compared with independent raingauges. The independent verification demonstrates that the new composite is similar to the one of the Dutch weather service on average for the Netherlands, and in addition it is much better in the northeastern part of the country, due to the Emden radar data. The algorithms are now ready for use in operational water management. © 2012 IAHS Press.


Van Putten B.,Wageningen University | Knippers T.,HydroLogic BV | Buurman P.,Wageningen University
Soil Science | Year: 2010

In the comparison of treatments in soil science experiments, a well-chosen experimental design is of crucial importance for making appropriate (optimal) statistical inference at low (lowest) costs. In the very common case that several observations from each plot are obtained, one should be aware that measurement units are not equivalent to so-called statistical experimental units. We illustrate the severe consequences of misinterpretations in some very commonly used experimental designs. Appropriate methodology is developed, which entails the aggregation of observations at the plot level based on the tools of spatial statistics, followed by a classical statistical analysis on the plot aggregated data. The model-based approach, in contrast to the design-based approach, appears to be a natural setting for comparison of treatments in soil-based experiments. Consequences for the planning of the experimental design are discussed, and recommendations are given. © 2010 by Lippincott Williams & Wilkins.


Einfalt T.,Hydro and meteo GmbH and Co. KG | Lobbrecht A.,UNESCO-IHE Institute for Water Education | Lobbrecht A.,HydroLogic BV | Leung K.Y.,University Utrecht | Lempio G.,Hydro and meteo GmbH and Co. KG
Journal of Hydrologic Engineering | Year: 2013

The Dutch weather radars in De Bilt and Den Helder have only limited coverage in the Dutch-German border area in the northeastern part of the Netherlands, whereas the German radar in Emden is just across the border. For many years, local water authorities have been looking for a better quantitative precipitation estimate (QPE) for this region. Recently, a German water-management consultancy and a Dutch one have jointly taken up the challenge to develop a completely new precipitation radar composite for this part of the Netherlands. The new composite uses the basic polar radar products (volume data) of the two national weather bureaus. The composite should be able to meet precipitation-information requirements of operational water managers; in other words, it should be able to provide QPE in real time. The present case study of an interesting rainfall event demonstrates the capabilities of the new composite tool. The rainfall event was used to evaluate various filtering and correction algorithms. QPE results were verified against independent rain-gauge data. On average, the results of the new composite were found to be similar to the Dutch weather bureau's QPE for the entire Netherlands. However, the new composite yielded a much better QPE for the northeastern part of the country, as a result of the addition of the Emden radar data. The algorithms developed are ready to be applied in operational water management by water boards and municipalities in the northeastern part of the Netherlands. © 2013 American Society of Civil Engineers.

Loading HydroLogic BV collaborators
Loading HydroLogic BV collaborators