The inconsistent changes in temperature and precipitation induced by forest cover change are very likely to affect drought condition. We use a set of statistical models to explore the relationship between forest cover change and drought change in different timescales and climate zones. We find that the influence of forest cover on droughts varies under different precipitation and temperature quantiles. Forest cover also could modulate the impacts of precipitation and temperature on drought.

Floodplains can be constructed along agricultural streams with the purpose of increasing water residence time, thereby reducing instream erosion and intercepting nutrient export. In this paper we show how this remediation measure can reduce phosphorus concentrations by up to 30 % through optimized floodplain designs and placement. These reductions were primarily facilitated by protection against erosion rather than by the promotion of deposition on floodplains.

In this study, we have presented two different advances for the field of subsurface geostatistics. First, we present data of variogram functions from a variety of different locations around the world. Second, we present a series of geostatistical analyses aimed at examining some of the statistical properties of such variogram functions and their relationship to a number of widely used variogram model functions.

We present a new physical-based method for estimating extreme sub-hourly precipitation return levels (i.e., intensity–duration–frequency, IDF, curves), which are critical for the estimation of future floods. The proposed model, named TENAX, incorporates temperature as a covariate in a physically consistent manner. It has only a few parameters and can be easily set for any climate station given sub-hourly precipitation and temperature data are available.

High-resolution precipitation data are often a “must” as input for hydrological and hydraulic models (i.e. urban drainage modelling). However, station or climate projection data usually do not provide the required (e.g. sub-hourly)  resolution. In the work, we present two new statistical models of different types to disaggregate precipitation from a daily to a 10  min scale. Both models were validated using radar data and then applied to climate models for 10 stations in Germany and South Korea.