Time Series Analysis of Nonlinear Head Dynamics Using Synthetic Data Generated with a Variably Saturated Model

The performance of time series models is assessed using synthetic head series simulated with a numerical model that solves Richards' equation for variably saturated flow. Heads were simulated in a homogeneous unconfined aquifer between two parallel canals; measured daily precipitation and potential evaporation are specified at the land...

The creation of a sustainable business model framework to foster the use of nature-based solutions in the Dutch building sector

Nature-based solutions are solutions that (partly) consist of, or contribute to, living nature, which can provide economical, social and environmental benefits. Especially in the building sector they can have huge benefits over conventional (grey) solution as this sector uses a lot of resources and energy. The benefits that nature-based...

Application of Time Series Analysis to Estimate Drawdown From Multiple Well Fields

In 2018–2020, meteorological droughts over Northwestern Europe caused severe declines in groundwater heads with significant damage to groundwater-dependent ecosystems and agriculture. The response of the groundwater system to different hydrological stresses is valuable information for decision-makers. In this paper, a reproducible, data-driven...

Estimation of groundwater recharge from groundwater levels using nonlinear transfer function noise models and comparison to lysimeter data

The estimation of groundwater recharge is of paramount importance to assess the sustainability of groundwater use in aquifers around the world. Estimation of the recharge flux, however, remains notoriously difficult. In this study the application of nonlinear transfer function noise (TFN) models using impulse response functions is explored to...

Bouw een demoproef

In het eerstejaars vak Design Engineering voor fysici van Technische Natuurkunde Delft bouwen groepjes studenten voor hun eindopdracht een demonstratieproef die een natuurkundig fenomeen laat zien. Het belangrijkste leerdoel is het in de praktijk leren brengen van natuurkundige kennis via een aangeleerd, gestructureerd ontwerpproces. Veel van de...

Pastas: Open Source Software for the Analysis of Groundwater Time Series

Time series analysis is an increasingly popular method to analyze heads measured in an observation well. Common applications include the quantification of the effect of different stresses (rainfall, pumping, etc.), and the detection of trends and outliers. Pastas is a new and open source Python package for the analysis of hydrogeological time...

Non-Linear Time Series Analysis of Deep Groundwater Levels: An application to the Veluwe

The objective of this study is to improve the simulation of deep groundwater levels by time se- ries models with pre-defined impulse response functions. This is attempted by adding a conceptual non-linear root zone model to simulate the recharge series to the model and by testing the use of a separate response function for the percolation zone....

Verslag behorende bij het processchema van: Synthese van 60% salpeterzuur

Document(en) uit de collectie Chemische Procestechnologie