Maps showing geologic terrane, drainage basins, overburden, and low flow of streams in Fairfax County and vicinity, Virginia

10.3133/i1534 ◽  
1985 ◽  
Keyword(s):  
Low Flow ◽  
Fairfax County ◽  
Drainage Basins

Low flow of streams in Fairfax County, Virginia

1981 ◽  
Author(s):  
E.H. Mohler ◽  
G.F. Hagan
Keyword(s):  
Low Flow ◽  
Fairfax County

scholarly journals Zróżnicowanie przestrzenne i zmienność odpływu w zlewniach fliszowych na obszarze Masywu Babiej Góry

2016 ◽  
Vol 70 (1) ◽  
pp. 95
Author(s):  
Paweł Franczak ◽  
Michał Hudyka ◽  
Krzysztof Buczek ◽  
Marek Górnik
Keyword(s):  
Drainage Basin ◽  
Meteorological Data ◽  
Spatial Diversity ◽  
Low Flow ◽  
Drainage Basins ◽  
Annual Average ◽  
Average Unit ◽  
Variability Index ◽  
The One ◽  
Water Outflow

<p>The paper refers to spatial diversity and lability of outflow from Flysh type drainage basins. It also shows dynamics of mean and high discharge by defining the trend, the variability index and the periodicity of the hydrological parameters mentioned. The research has been taken in the partial drainage basins located in the upper drainage basin of Skawica (the streams of Czatożanka, Marków Potok, Rybny Potok, Jaworzyna) and in the upper drainage basin of Czarna Orawa (Kiczorka) at the Babia Góra slopes. The analyzed two-year period (2012–2013) has been characterized comparing to the multiannual period of 1973–2014. The hydrological and meteorological data have been obtained due to monitoring of the hydrological environment of Babiogórski National Park. The database includes the data gained from The Institute of Meteorology and Water Management research. Poland is the one of the less water-rich European countries. The unit outflow is only 5.5 dm3·s-1·km-2 (Fall 1997). The water outflow is very space and time varied through the whole country. The outflow from drainage basins of Babia Góra area is one of the biggest in Poland (about 30 dm3·s-1·km-2). The outflow index (rate of outflow?) from Babia Góra area is 88% per annum, which distinguishes this area from the Beskidy Mountains. During the winter semester the outflow index is 12.7% and during the summer semester it is 70% (Łajczak).</p><p>The outflow index and the seasonal lability of the outflow from the particular Babia Góra drainage basins are very varied which is the most noticeable between the northern and southern slopes located drainage basins, however the variety is also very clear to observe from the east to the west direction. The analyzed cycle were a general low-flow period including one thaw flood within this period (2012s) and several minor floods caused by severe rainfalls (2013s). The maximum unit outflow during the flood has been noticed in Czatożanka drainage basin and the minimum unit outflow has been noticed in Kiczorka drainage basin. The highest annual average unit outflow occurred within Marków Potok, and the lowest annual average unit outflow occurred within Czatożanka. The drainage basins located at the northern slopes of Babia Góra were characterized by big seasonal outflow fluctuation between winter and summer semesters. Only at the southern slopes in the Kiczorka drainage basin the outflow was not much varied comparing the particular semesters.</p>

scholarly journals A COMPARISON BETWEEN RANDOM AND DETERMINISTIC DYNAMICS OF RIVER DRAINAGE BASINS FORMATION

2009 ◽  
Vol 8 (1) ◽  
pp. 65
Author(s):  
C. A. Marin ◽  
M. R. Errera
Keyword(s):  
Flow Resistance ◽  
Network Formation ◽  
Drainage Basin ◽  
Low Flow ◽  
River Networks ◽  
Drainage Basins ◽  
Random Models ◽  
Mere Presence ◽  
Structure Configuration ◽  
Optimal Reduction

This work contributes to the discussion on how and why tree networks in drainage basin arises in nature. A fully deterministic erosion model recently developed was used to explain the spontaneous origin of river networks, which until then was assumed to be due to the optimal reduction of the flow resistance in a area to point flow. A random evolution model was devised in order to investigate the contribution of two separate features: the relative area size of the network and the structure (configuration) of the network. Two random models were applied, namely, restricted random choosing selection and fully random. Results showed that indeed the mere presence of low flow resistance portions of the basin does improve global performance and that randomness does not create networks. Further gain in performance is given by the network formation by erosion or by optimization. This suggest that local factors also are important to the explanation of the very existence of natural networks.

951: “Experience in the Treatment of Low Flow Priapism”; A Novel, Easy and Effective Technique: A Long-Term, Binational, Multi-Institutional Study in 18 Patients Over 8 Years

2007 ◽  
Vol 177 (4S) ◽  
pp. 314-315
Author(s):  
Jose A. Medina Machuca ◽  
Jose A. Medina Coello ◽  
Hugo Manzanilla ◽  
Francisco A. Gutierrez
Keyword(s):  
Low Flow ◽  
Effective Technique

Ordered subset expectation maximization algorithm for image reconstruction applied to zero-flow or low-flow mimicking brain phantom

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S678-S678
Author(s):  
Yasuhiro Akazawa ◽  
Yasuhiro Katsura ◽  
Ryohei Matsuura ◽  
Piao Rishu ◽  
Ansar M D Ashik ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Expectation Maximization ◽  
Expectation Maximization Algorithm ◽  
Low Flow ◽  
Brain Phantom ◽  
Zero Flow
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