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Radulovic M.,University of Montenegro | Stevanovic Z.,University of Belgrade | Sekulic G.,University of Montenegro | Radulovic V.,Geological Survey of Montenegro | And 6 more authors.
Environmental Earth Sciences | Year: 2015

The Skadar Lake basin is located in the south-eastern part of the classical Dinaric karst region (northern Mediterranean). This region is well known for its highly developed karst and the presence of all types of karstic features. In addition to the high degree of karstification, the advantage of Skadar Lake’s catchment area in terms of water resources is also reflected in the following factors: a large amount of precipitation, scarcity of soil and vegetation cover, favourable geological and geomorphological conditions for karst aquifer discharge, the isolation of the Skadar basin from the influence of the Adriatic Sea and an availability of water for simple abstraction. For the purposes of a more complete determination of the water balance of Skadar Lake, among other undertakings, it has been necessary to determine the groundwater inflow to the lake through numerous sublacustrine springs (vruljas). By using thermal infrared satellite and terrestrial imaging, the locations of the largest sublacustrine springs have been detected and their yield assessed by means of water balance calculation after the application of the KARSTLOP method. The mean annual groundwater inflow to the lake, from the south-western edge only, is 9.86 m3/s. The total outflow of water from the lake through the Bojana River is around 304 m3/s. The coincidence of several important natural factors leads to the large average specific yield (surface and subsurface) in the Skadar Lake catchment area (54 l/s/km2), which makes this region one of the richest areas of freshwater in the world. © 2015, Springer-Verlag Berlin Heidelberg. Source


Kutiel H.,Haifa University | Lukovic J.,University of Belgrade | Buric D.,Hydrometeorological Service of Montenegro
International Journal of Climatology | Year: 2015

Rain spells are a key parameter in examining rainfall regime. A rain spell is defined as a series of consecutive days above a certain daily rainfall threshold (DRT). For each rain spell, its duration (RSD), yield (RSY) and average intensity (RSI), as well as their total number (NRS) in each year, were calculated. The present study analyses daily rainfall series from 22 stations representing the different regions of Serbia and Montenegro in the period 1949-2007. This study highlights the temporal variability (both inter- and intra-annual) and the complexity of the rainfall regime in both countries. In each station, all years were divided into three categories: wet, normal and dry according to their standard scores. Then, on the basis of these scores, the entire year was categorized accordingly. The various rain-spell parameters were calculated and are presented for each of these three categories. The relationships between NRS (exponential), RSY (linear) and RSI (power) with the RSD were calculated for each station and their coefficients were plotted. The entire study area was divided into three sub-regions in terms of similar annual behaviour, using the factor analysis. The regions are as follows: northern and central Serbia, eastern and southern Serbia and Montenegro. All years were grouped into several clusters, each representing a different spatial distribution. Their characteristics and probabilities are presented. Overall, Montenegro is much rainier than Serbia, having longer and more intense rain spells. Serbia, on the other hand, has more short rain spells than Montenegro and demonstrates no real summer dryness such as in Montenegro. Intra-annual variability is relatively high in both countries, slightly higher in Montenegro. © 2014 Royal Meteorological Society. Source


Ducic V.,University of Belgrade | Lukovic J.,University of Belgrade | Buric D.,Hydrometeorological Service of Montenegro | Stanojevic G.,Serbian Academy of Science and Arts | Mustafic S.,University of Belgrade
Natural Hazards and Earth System Science | Year: 2012

The aim of this paper is to analyse indices of extreme precipitation in Krivoije, Montenegro, the wettest Mediterranean region, from the period 1951-2007 and their relationships with atmospheric circulation using "SynopVis Grosswetterlagen" (SVG) series. Data from two stations were analysed, namely Crkvice (42°34'N and 18°39'E) and Herceg Novi (42°27'N and 18°31'E). Four indices of precipitation extremes (SDII, R75p, R95p, R95pTOT) were assessed including number of dry days. The results suggest that the number of days with precipitation decreased. To analyse the relationship between extreme precipitation events and circulation types we have used an efficiency coefficient (E/c). Regarding relation to atmospheric circulation, westerly, southwesterly and northwesterly circulation types with anticyclonic features over Central Europe are more frequent for dry days (days with R/1.0 mm) and northerly, easterly and southerly types for wet and very wet days (R75p and R95p indices). The types with cyclonic condition over Central Europe show a large proportion of wet and very wet days. Also, activity of Genoa cyclogenesis and orographic influence over a small area are the main reasons for the high precipitation amounts recorded in the Krivošije region (Crkvice). © Author(s) 2012. Source


Buric D.,Hydrometeorological Service of Montenegro | Lukovic J.,University of Belgrade | Ducic V.,Hydrometeorological Service of Montenegro
Natural Hazards and Earth System Sciences | Year: 2014

Montenegro so far has been poorly investigated in terms of climate extremes. The aim of this paper was to analyse the extreme ETCCDI (Expert Team on Climate Change Detection and Indices) temperature indices in the Mediterranean region of Montenegro for the period of 1951-2010. Four stations in the coastal area of Montenegro have been analysed: Herceg Novi, Ulcinj, Budva and Bar. Two periods (before 1980 and after 1980) were separately investigated in this study due to a well-known climate shift that occurred in the late 1970s. Seven indices of temperature extremes have been chosen. The trend was analysed using a Mann-Kendall non-parametric test, while the slope was estimated using Sen's slope estimator. A negative trend has been calculated for cold nights and cold days at almost all stations. The most significant positive trends were obtained for warm conditions. The two separately investigated periods have shown contrasting temperature trends. © Author(s) 2014. CC Attribution 3.0 License. Source

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