Groundwater Level Fluctuations and Environmental Impact: A Case Study from Sheab Al-Ashkher District, Al-Ain, UAE

2017 ◽  
Author(s):  
Saber Hussein ◽  
Ala Aldaha ◽  
Ahmed Murad ◽  
Dalal Alshamsi
Water ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2279
Author(s):  
Benjamin T. Johnk ◽  
David C. Mays

It is well known that wildfires destroy vegetation and form soil crusts, both of which increase stormwater runoff that accelerates erosion, but less attention has been given to wildfire impacts on groundwater aquifers. Here, we present a systematic study across the contiguous United States to test the hypothesis that wildfires reduce infiltration, indicated by temporary reductions in groundwater levels. Geographic information systems (GIS) analysis performed using structured queried language (SQL) categorized wildfires by their proximity to wells with publicly available monitoring data. Although numerous wildfires were identified with nearby monitoring wells, most of these data were confounded by unknown processes, preventing a clear acceptance or rejection of the hypothesis. However, this analysis did identify a particular case study, the 1996 Honey Boy Fire in Beaver County, Utah, USA that supports the hypothesis. At this site, daily groundwater data from a well located 790 m from the centroid of the wildfire were used to assess the groundwater level before and after the wildfire. A sinusoidal time series adjusted for annual precipitation matches groundwater level fluctuations before the wildfire but cannot explain the approximately two-year groundwater level reduction after the wildfire. Thus, for this case study, there is a correlation, which may be causal, between the wildfire and temporary reduction in groundwater levels. Generalizing this result will require further research.


2015 ◽  
Vol 1 (3) ◽  
Author(s):  
Justas Kažys ◽  
Egidijus Rimkus ◽  
Julius Taminskas ◽  
Sigita Butkutė

The peatbogs are very unique and relatively vulnerable ecosystems for every kind of disturbances. This research analyses the relationships between groundwater level (GWL) fluctuations and meteorological conditions in Lithuanian peatbogs. Two case study areas (Čepkeliai and Rėkyva peatbogs) with permanent GWL monitoring points were investigated. The period from 2002 till 2011 was analysed in Čepkeliai and the period from 2011 till 2014 in Rėkyva. The final results indicate that rainfall is the most important factor determining the groundwater level fluctuations in the warm season, while temperature and evapotranspiration play only a minor role. The relationship between GWL and precipitation strongly depends on soil properties. The findings in Rėkyva revealed that the reactions of GWL on meteorological conditions in various parts of the  peatbogs were not the  same. Also, the analysis showed that the reaction of GWL on precipitation differs in cold and warm seasons.


2020 ◽  
Vol 10 (10) ◽  
pp. 3553
Author(s):  
Magdalena Worsa-Kozak ◽  
Radosław Zimroz ◽  
Anna Michalak ◽  
Christian Wolkersdorfer ◽  
Agnieszka Wyłomańska ◽  
...  

Long-term groundwater level analysis, which is usually based on traditionally defined hydrological years is essential in an era of global warming and other climatic and environmental changes, especially in urban areas. A complex interplay of multiple factors influencing the groundwater level makes the investigation of their interdependencies a challenge. Based on multiple data sets and a long time series available as well as specific geological and hydrological conditions, a semi-urban district of Wrocław/Poland was selected as a case study for investigating these dependencies. This paper presents an interdisciplinary approach to the analysis of groundwater level fluctuations by combining mathematics, signal processing, hydrogeology, and meteorology. Applying well-known methods from disciplines other than hydrogeology, the authors investigated seasonal behavior and similarity of groundwater level fluctuations during 15 hydrological years. Based on segmentation and agglomerative clustering (AHP), five classes of groundwater levels fluctuations for predefined hydrologic years and the corresponding seasons were identified and compared to the classification scheme by Pleczyński. Additionally, the relationship between precipitation and groundwater level was investigated using Pearson, Kendall and Spearman correlations. This led to the identification of “typical” and “untypical” seasons for the correlation between the cumulative precipitation sum and groundwater levels. The results presented here will be used for further investigations of groundwater level fluctuations using additional factors and statistical methods. These aim to identify periods that describe similarities better than the commonly used hydrological year.


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