An important aspect of the statistical assessment of the correlation between precipitations - water and sediments is the way these parameters are assessed by means of statistical correlations of the type Q=f(Pp), R=f(Q) or R=f(Pp). Following the analysis of the three types of correlations the conclusion that water and sediment flows depend much on the quantity of water that falls may be reached. The accumulations however introduce some modifications of the water run-offs depending on the intended use. In order to carry out detailed analyses of some processes related to the evolution of channel bed or reservoirs silting, the equations may be extrapolated to the entire river basin

The landslides have an important impact on the evolution of some natural components and the anthropic activities. Often these processes generate difficult to predict side effects. This was the case in the rural area of Moldavian Tableland (located in the eastern part of Romania) where the construction of a water tank for water supply to the local community, generated the production of a landslide on the background of exceptional weather conditions. Side effects were manifested and consist of changes in the morphology of the surface terrain and increasing the water level by 0.5-2 m (observing through direct measurements) compared to the initial level. At the same time, changes in the direction of groundwater flow were observed by blocking the initial directions to the main collector and reversing them to the inhabited area with effects in the flooding (at the level of 2019) of an area with an area of over 5 ha and 17 houses and outbuildings.

The evolution of groundwater levels is very difficult to predict over medium and long term, in any geographical conditions, in the context of global climate change and increasing human impact activities. For that is important to analyses trends of this hydrogeological parameters to estimate the evolution of underground water resources in different natural conditions. To estimate groundwater level trends, the Mann-Kendal test and Sen slope was used. In additional Innovative Trend Method (ITA) was applied to seasonal and annual groundwater level from 9 hydrogeological wells, with different depths of water, with data between 1983 to 2018. Most of the trends are related between these two methods (from 8 out of 9 hydrogeological wells). The seasonal datasets indicate that 55% of slopes values are statistically significant for summer and autumns season and 44% for annual values. The most increasing trends overlaps +3 cm/year (for 2 hydrogeological wells) and indicates an important decrease of groundwater volume. The results can be implemented in groundwater resources management projects at local and regional level.