Michael Rustler

Kompetenzzentrum Wasser Berlin · Groundwater

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;...

This report describes the main functionalities the SMART-Control web-based tool T1B Quantitative microbial risk assessment. The tool helps to quantify the pathogen occurrence in source water and their removal by various treatment steps at MAR facilities by using a probabilistic approach. The interactive web-based QMRA tool supports the evidence-bas...

This report describes the first part of the SMART-Control web-based tool T1: “Initial risk assessment. Part A. Estimation of groundwater hydraulic residence time”. The tool enables water utilities to estimate the groundwater hydraulic residence time at MAR sites by using temperature measurements in influent and recovered water. The tool was develop...

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...