scholarly journals Капиллярно-волновой варп-двигатель

2021 ◽  
Vol 47 (22) ◽  
pp. 13
Author(s):  
В.А. Александров
Keyword(s):  
Fluid Flow ◽  
Surface Water ◽  
Water Flow ◽  
Liquid Surface ◽  
Capillary Wave ◽  
Local Deformation ◽  
Surface Flow ◽  
Surface Water Flow

The generation of surface water flow in channels with sources and resonators of capillary oscillations is detected and investigated. Moving devices with a capillary-wave accelerator of the surface fluid flow are demonstrated. The surface flow of liquid in the channel is generated due to the local deformation of the liquid surface by capillary vibrations and the formation of an excess liquid surface on average near the source and the transport of this surface by waves.

scholarly journals ANALISIS KOEFISIEN ALIRAN PERMUKAAN PADA BERBAGAI BENTUK PENGGUNAAN LAHAN DENGAN SWAT

2018 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Danesta Ayu Saputri ◽  
Ridwan Ridwan ◽  
Mohamad Amin ◽  
Sandi Asmara
Keyword(s):  
Surface Water ◽  
Model Validation ◽  
Water Flow ◽  
River Flow ◽  
Swat Model ◽  
Surface Flow ◽  
Surface Water Flow ◽  
Data Record ◽  
Open Land ◽  
Building Area

Way Sekampung Hulu watershed definited as upstream part from Way Sekampung watershed with rain catchment area of 43,063 km2, that located in Tanggamus District of Lampung Province. Land shifting from non-building area to building area will stimulate the magnitude of surface water flow that impacts on the decline of recharge capacity and increased surface water flow that occurs flood in downstream area. The research aim to surface runoff coeffisient values in various land use form of watershed and hydrograph river flow parameter values. The method of this research is approach of hydrology model analysis based GIS, with SWAT model. Data of river flow debit, rainfall, and climatology that used is data record in 2010 until 2015. Process of model calibration with data record in 2010-2012 and model validation with data record in 2013-2015. Result of calibration process with SWAT-CUP are Nse and R2 value for river flow debit (flow out) of 0.63 and 0.66 respectively. Result of model validation are Nse and R2 value of 0.64 and 0.74 respectively. Surface flow coeffisient value (C) for shrubs of 0.13, settlement of 0.22, primary dryland forest of 0.11, open land of 0.44, moor of 0.28 and plantation of 0.15. Analysis result also obtained best values for hydrograph flow parameters such as SURLAG of 0.389, GW_REVAP of 8.451, SOL_AWC of 1.104, EPCO of 0.008, HRU_SLP of 0.898, SLSBBSN of 23.195, CH_N2 of 3.876, ALPHA_BF of 0.636, GW_DELAY of 8.451, ESCO of 1.335 and CN2 of 1.979.

Comparison of surface water flow simulation over structured and unstructured grids

2021 ◽  
Author(s):  
Nivedhitha Ajithkumar ◽  
Prabhakar Alok Verma ◽  
Frank B. Osei ◽  
Hari Shankar
Keyword(s):  
Surface Water ◽  
Water Flow ◽  
Unstructured Grids ◽  
Flow Simulation ◽  
Surface Water Flow

scholarly journals Validation of the STRIVE model for coupling ecological processes and surface water flow

2010 ◽  
Vol 13 (4) ◽  
pp. 741-759
Author(s):  
L. De Doncker ◽  
P. Troch ◽  
R. Verhoeven ◽  
K. Buis ◽  
P. Meire
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Flow ◽  
Research Question ◽  
Quality Parameters ◽  
Water Levels ◽  
Ecological Processes ◽  
Vegetation Growth ◽  
Surface Water Flow ◽  
Quality Aspects

The 1D model package STRIVE is verified for simulating the interaction between ecological processes and surface water flow. The model is general and can be adapted and further developed according to the research question. The hydraulic module, based on the Saint-Venant equations, is the core part. The presence of macrophytes influences the water quality and the discharge due to the flow resistance of the river, expressed by Manning's coefficient, and allows an ecological description of the river processes. Based on the advection–dispersion equation, water quality parameters are incorporated and modelled. Calculation of the water quantity parameters, coupled with water quality and inherent validation and sensitivity analysis, is the main goal of this research. An important study area is the River Aa near Poederlee (Belgium), a lowland river with a wealth of vegetation growth, where discharge and vegetation measurements are carried out on a regular basis. The developed STRIVE model shows good and accurate calculation results. The work highlights the possibility of STRIVE to model flow processes, water quality aspects and ecological interaction combined and separately. Coupling of discharges, water levels, amount of biomass and tracer values provides a powerful prediction modelling tool for the ecological behaviour of lowland rivers.

Flow and Radionuclide Transport From Rock to Surface Systems: Characterization and Modelling of Potential Repository Sites in Sweden

2007 ◽  
Author(s):  
Kent Werner ◽  
Emma Bosson ◽  
Sten Berglund
Keyword(s):  
Surface Water ◽  
Groundwater Flow ◽  
Water Flow ◽  
Exit Point ◽  
Flow Paths ◽  
Near Surface ◽  
Mike She ◽  
Mike 11 ◽  
Surface Water Flow ◽  
Safety Assessments

The safety assessments of potential geological repositories for spent nuclear fuel in Sweden are supported by modelling of groundwater flow in rock, to predict locations (exit points) where radionuclides from the deep repository may enter land, surface waters and associated ecosystems above the rock. This modelling includes detailed rock descriptions, but simplifies the upper part of the flow domain, including representations of meteorological processes and interactions with hydrological objects at the surface. Using the Laxemar candidate site as example, this paper investigates some potentially important consequences of these simplifications. Specifically, it compares particle tracking results obtained by a deep-rock groundwater flow model (CONNECTFLOW) and by MIKE SHE-MIKE 11, which contains detailed descriptions of near-surface/surface water flow. Overall, the models predict similar exit point patterns, occurring as clusters along streams in valleys, at a lake, and in sea bays. However, on a detailed level there are some prediction differences, which may be of importance for biosphere-focused safety assessments. CONNECTFLOW essentially predicts flow paths through the repository that follow fractures and deformation zones, outcropping in valleys. In comparison, MIKE SHE-MIKE 11 provides more detailed information on near-surface water flow paths, including the associated exit points and inputs to assessments of radionuclide retention.

scholarly journals Impacts of hurricanes on surface water flow within a wetland

2010 ◽  
Vol 392 (3-4) ◽  
pp. 164-173 ◽  
Author(s):  
Yang Deng ◽  
Helena M. Solo-Gabriele ◽  
Michael Laas ◽  
Lynn Leonard ◽  
Daniel L. Childers ◽  
...  
Keyword(s):  
Surface Water ◽  
Water Flow ◽  
Surface Water Flow

The Influence of Land Roughness to Irrigation Efficiency Based on SIRMOD Model of Border Irrigation of Wheat

2014 ◽  
Vol 955-959 ◽  
pp. 3640-3644
Author(s):  
He Xiang Zheng ◽  
Xue Song Cao ◽  
Jia Bin Wu ◽  
Jian Cheng Zhang
Keyword(s):  
Surface Roughness ◽  
Surface Water ◽  
Water Flow ◽  
Water Movement ◽  
Field Trials ◽  
Measured Data ◽  
Irrigation Efficiency ◽  
Movement Process ◽  
Surface Water Flow

Land roughness is an important parameter of border irrigation in the surface water flow movement, it affects of the water movement process and affects irrigation efficiency, so it’s necessary combined with field surface other parameters to study irrigation field roughness to the irrigation efficiency. Agreement is good between simulated by SIRMOD model and measured values​​ through field trials the measured data of water flow advance and regression process, and indicating with SIRMOD model can simulate border irrigation process. Four kinds of typical field surface roughness of irrigation simulation by SIRMOD model and analysis of the results obtained: land roughness difference of water flow advance and regression process influence significantly, the water flow advance and regression process is better with the small land roughness, and the curve of water flow advance and regression becomes uneven, so irrigation efficiency significant reduction with the field surface roughness increases.

Estimating surface water flow speeds using time–frequency methods

2010 ◽  
Vol 4 (4) ◽  
pp. 406 ◽  
Author(s):  
P.R. Kersten ◽  
R.W. Jansen ◽  
T.L. Ainsworth ◽  
J.V. Toporkov ◽  
M.A. Sletten
Keyword(s):  
Surface Water ◽  
Water Flow ◽  
Time Frequency ◽  
Surface Water Flow ◽  
Flow Speeds
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