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Attention: kwb.hantush (v.0.2.1) is now available on CRAN (http://cran.r-project.org/web/packages/kwb.hantush) and can be directly downloaded in R with: install.packages("kwb.hantush") For getting the latest R package release including a short tutorial please visit the project package homepage on Github: http://kwb-r.github.io/kwb.hantush https:...
In order to promote the usage of simple model engines this paper proposes to apply the concept of model wrapping that makes model software applications accessible from a programming environment. The paper shows exemplarily for one model software (WTAQ) how it has been wrapped. The concept has been successfully applied to two other very different ki...
In Germany 35% of the total energy consumption in water utilities is due to well pumping (Plath et al., 2010). Therefore, a more efficient abstraction, besides the reduction of the carbon footprint, will lead to economic benefits for the operator. Different strategies exist for energy saving both in the operation of well fields as well as with the...
Water abstraction in extended well fields in urban regions often has to account for numerous constraints, like prescribed minimum or maximum depth to groundwater, avoiding extraction of contaminated groundwater or river water, competing groundwater abstraction, etc. A possible approach is to infer that information from time series of groundwater he...
Data play an important role in water-related research. Based on experiences in data collection and data processing in water-related research this paper proposes – both from a computer scientist’s and an environmental engineer’s point of view – a set of rules for data handling: Rule 1: Protect raw data; Rule 2: Save metadata; Rule 3: Use databases;...
The present study provides an overview of geogenic contamination, its occurrence, impacts and possible treatment options for drinking water production. Natural background and anthropogenic contamination can be differentiated using an algorithm based on the frequency distribution of measured substance concentrations. Case studies for geogenic...
Industry plays an important role in supporting the circular economy. To help Europe reach its ambitious Green Deal objectives, the EU-funded PROMISCES (Preventing Recalcitrant Organic Mobile Industrial chemicalS for Circular Economy in the Soil-sediment-water system) project will identify how industrial pollution prevents the development of a circular economy in the EU and detect strategies to overcome the principal bottlenecks that impede reaching the targets of the European Green Deal and Circular Economy Action Plan. The project will develop new analytical methods and toxicological tools to deliver data on persistent, mobile (PM) substances in complex environmental matrices and investigate sources of PM substances released from soil, sediments, landfills and wastewater treatment plants and via urban runoff into relevant natural systems. PROMISCES will assess fate and transport processes and improve the assessment and management of human health risks.