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Journal articles on the topic 'Parana Basin, Numerical modeling'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

de Moura Silva, Laian, Marcos Alberto Rodrigues Vasconcelos, Vinamra Agrawal, Alvaro Penteado Crósta, and Emilson Pereira Leite. "Numerical modeling and 3D-gravity inversion of the Vargeão impact structure formed in a mixed basalt/sandstone target, Paraná Basin, Brazil." Journal of South American Earth Sciences 110 (October 2021): 103396. http://dx.doi.org/10.1016/j.jsames.2021.103396.

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2

Tuma, Soraya Lozada, and Carlos Alberto Mendonça. "Stepped inversion of magnetic data." GEOPHYSICS 72, no. 3 (May 2007): L21—L30. http://dx.doi.org/10.1190/1.2711661.

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We present a three-step magnetic inversion procedure in which invariant quantities with respect to source parameters are inverted sequentially to give (1) shape cross section, (2) magnetization intensity, and (3) magnetization direction for a 2D (elongated) magnetic source. The quantity first inverted (called here the shape function) is obtained from the ratio of the gradient intensity of the total-field anomaly to the intensity of the anomalous vector field. For homogenous sources, the shape function is invariant with source magnetization and allows reconstruction of the source geometry by attributing an arbitrary magnetization to trial solutions. Once determined, the source shape is fixed and magnetization intensity is estimated by fitting the total gradient of the total-field anomaly (equivalent to the amplitude of the analytic signal of magnetic anomaly). Finally, the source shape and magnetization intensity are fixed and the magnetization direction is determined by fitting the magnetic anomaly. As suggested by numerical modeling and real data application, stepped inversion allows checking whether causative sources are homogeneous. This is possible because the shape function from inhomogeneous sources can be fitted by homogeneous models, but a model obtained in this way fits neither the total gradient of the magnetic anomaly nor the magnetic anomaly itself. Such a criterion seems effective in recognizing strongly inhomogeneous sources. Stepped inversion is tested with numerical experiments, and is used to model a magnetic anomaly from intrusive basic rocks from the Paraná Basin, Brazil.

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3

Soares, William Pareschi, and Carlos Alberto Mendonça. "Inversion and magnetization homogeneity testing for 2D magnetic sources." GEOPHYSICS 86, no. 1 (January 1, 2021): J13—J19. http://dx.doi.org/10.1190/geo2019-0389.1.

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Many approaches to magnetic data inversion are based on assumptions that source magnetization is homogeneous in direction and intensity. Such assumptions rarely can be verified with independent geologic information and are usually incorporated without further inquiry in the next steps of data interpretation. The use of magnetization direction invariants, such as the gradient intensity of the total field anomaly (equivalent to the amplitude of the analytical signal [ASA]) and the intensity of the anomalous vector field (IAVF), is effective for modeling sources with strong remanent magnetization, usually with unknown direction. Even in such cases, however, the assumption of uniform magnetization is understood but unchecked when seeking smooth or compact solutions from data inversion. We have developed a procedure to test the assumption of uniform magnetization for 2D sources. For true 2D homogeneous sources, the ratio of ASA to IAVF can be modeled with a binary solution (0 and 1) regardless of the real value of the magnetization. A procedure to provide convergence was applied, and its output solution was submitted to a binary test to verify the uniformity hypothesis. This technique was illustrated with numerical simulations and then used to reinterpret a ground magnetic profile across an intrusive diabase body in sediments of the Paraná Basin, Brazil, revealing the existence of two adjacent bodies that are homogeneous with different magnetization intensities.

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4

Zhang, Tuanfeng. "Numerical Methods of Petroliferous Basin Modeling." Mathematical Geology 38, no. 1 (January 2006): 101–2. http://dx.doi.org/10.1007/s11004-005-9006-8.

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5

Harlan, Dhemi, Dantje K. Natakusumah, Mohammad Bagus Adityawan, Hernawan Mahfudz, and Fitra Adinata. "3D Numerical Modeling of Flow in Sedimentation Basin." MATEC Web of Conferences 147 (2018): 03012. http://dx.doi.org/10.1051/matecconf/201814703012.

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Normal operation sedimentation basin flushing systems require large volumes of water, typically up ten times of the deposited sediment volume for efficient flushing. A complete sediment removal, can only be realized by combination of mechanical removal with drawdown flushing. This operation reaches much longer operation time resulting in water loss and reducing power and energy production of Mini Hydro Power Plant (MHPP). The objective of this study is to improve the flushing system of sedimentation basin based on a numerical approach. Fluid motion is described with non-linear, transient, second-order differential equations. A numerical solution of these equations involves approximating the various terms with algebraic expressions. The resulting equations are then solved to yield an approximate solution to the original problem. The simulation result shows that the 3D numerical modeling of flow in sedimentation basin gives the reasonable result to predict the suspended load movement in the flow.

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6

Wisian, Kenneth W., and David D. Blackwell. "Numerical modeling of Basin and Range geothermal systems." Geothermics 33, no. 6 (December 2004): 713–41. http://dx.doi.org/10.1016/j.geothermics.2004.01.002.

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7

Yang, Haoming, David Z. Zhu, and Lin Li. "Numerical modeling on sediment capture in catch basins." Water Science and Technology 77, no. 5 (January 11, 2018): 1346–54. http://dx.doi.org/10.2166/wst.2018.009.

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Abstract Catch basins are designed to convey surface runoff into sewer systems. They are also found to be effective in retaining sediments. A number of factors can influence catch basin sediment capture efficiency, such as sediment size distribution, flow hydraulics and catch basin design. To better understand the influence of these factors, numerical simulations using the Eulerian-Lagrangian method were conducted to provide insights into flow fields and to predict sediment capture rates. The numerical model was validated using previous experimental measurements of flow field and sediment capture rates for sediment sizes larger than 0.25 mm. The influence of catch basin designs, including the bottom sump and inflow arrangements, was also studied, and an equation was developed for predicting the capture rate.

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8

Wen, Strong, Wen-Yen Chang, and Chau-Huei Chen. "Seismic Wave Propagation in Basin Structure from Numerical Modeling." Terrestrial, Atmospheric and Oceanic Sciences 18, no. 1 (2007): 001. http://dx.doi.org/10.3319/tao.2007.18.1.1(t).

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9

Brufau, P., P. García-Navarro, E. Playán, and N. Zapata. "Numerical Modeling of Basin Irrigation with an Upwind Scheme." Journal of Irrigation and Drainage Engineering 128, no. 4 (August 2002): 212–23. http://dx.doi.org/10.1061/(asce)0733-9437(2002)128:4(212).

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10

Baur, Friedemann, Ralf Littke, Hans Wielens, Carolyn Lampe, and Thomas Fuchs. "Basin modeling meets rift analysis – A numerical modeling study from the Jeanne d'Arc basin, offshore Newfoundland, Canada." Marine and Petroleum Geology 27, no. 3 (March 2010): 585–99. http://dx.doi.org/10.1016/j.marpetgeo.2009.06.003.

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11

Nøvik, Hanne, Abha Dudhraj, Nils ReidarBøe Olsen, Meg Bahadur Bishwakarma, and Leif Lia. "Numerical Modeling of Nonuniform Flow in Settling Basins." Hydro Nepal: Journal of Water, Energy and Environment 14 (October 15, 2014): 27–35. http://dx.doi.org/10.3126/hn.v14i0.11251.

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The settling basins for hydropower plants are designed to remove suspended sediments from the waterflow. The inlet geometry of the settling basin may cause formation of recirculation zones and high turbulence, which may lead to diminished trap efficiency, and as a consequence, turbine erosion. Most analytic approaches for calculating the trap efficiency of settling basins are based on the assumption of a uniform flow; hence, simplified one-dimensional equations are used to determine the velocity distribution and the turbulence characteristics of the flow. However, the velocity field in settling basins is often unevenly distributed, and the simplified equations are not always applicable. This study describes a new method for improving the assessment of settling basin performance. The idea is to extract values for the velocity distribution and the turbulence characteristics along the settling basins from computational fluid dynamic (CFD) models. The extracted CFD values are then used as input parameters to the standard analytical approaches for calculation of settling basin trap efficiency. This promising method is tested on a case study of a physical model of the settling basin for the Lower Manang Marsyangdi Hydropower Project in Nepal. The CFD calculations turn out to provide additional information to the sedimentation calculations in settling basins, and are useful for the assessment of different design alternatives at an early stage.DOI: http://dx.doi.org/10.3126/hn.v14i0.11251HYDRO Nepal JournalJournal of Water, Energy and EnvironmentVolume: 14, 2014, JanuaryPage: 27-35

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12

Zhang, Tuanfeng. "Shi Guangren: Numerical Methods of Petroliferous Basin Modeling, 3rd edn." Mathematical Geosciences 41, no. 5 (June 17, 2009): 603–4. http://dx.doi.org/10.1007/s11004-009-9224-6.

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13

Wen, Hongjie, Bing Ren, Ping Dong, and Yongxue Wang. "A SPH numerical wave basin for modeling wave-structure interactions." Applied Ocean Research 59 (September 2016): 366–77. http://dx.doi.org/10.1016/j.apor.2016.06.012.

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14

McKenna, Jason R., and David D. Blackwell. "Numerical modeling of transient Basin and Range extensional geothermal systems." Geothermics 33, no. 4 (August 2004): 457–76. http://dx.doi.org/10.1016/j.geothermics.2003.10.001.

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15

Zhou, Zhao, and Junxing Wang. "Numerical Modeling of 3D Flow Field among a Compound Stilling Basin." Mathematical Problems in Engineering 2019 (June 12, 2019): 1–17. http://dx.doi.org/10.1155/2019/5934274.

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Due to great velocity gradients among the outgoing flow, it is much common to form large-scale reverse flow with oblique movements outside the conventional separated stilling basin. Aimed at above problems, this paper proposes to remove the longitudinal splitter wall and then physically and numerically investigate the corresponding influence upon the compound stilling basin. The standard k-ε, renormalization group k-ε, realizable k-ε, and large eddy simulation turbulence models are all employed to reveal downstream three-dimensional flow field. Experimental validation of numerical results shows that the renormalization group k-ε turbulence model is the most successful in predicting the flow field among the four models. Both methods prove that the removed splitter wall exerts great impact upon downstream stilling basin. In view of the removed splitter wall, discharging inflow would greatly diffuse to form a typical three-dimensional (3D) hydraulic jump with large-scale reverse flow. High energy dissipation region and high turbulent kinetic energy region are both moved upstream. Thus, the velocity decay among the discharging flow in the compound stilling basin is significantly enhanced. Compared to the separated stilling basin, the maximum velocity and average velocity of the outgoing flow, respectively, decrease more than 30%, and 20% in the compound stilling basin. Additionally, the velocity gradients between the left and the right outgoing flow reduce by over 65% with turbulent kinetic energy gradients almost down to zero. The outgoing flow from the compound stilling basin becomes much uniform with the phenomenon of obliquely moving flow totally eliminated.

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16

Magerski, Juliane Macedo, and Jorim Sousa Virgens Filho. "Avaliação da Técnica de Krigagem Ordinária Utilizando o Modelo Geoestatístico Estável no Preenchimento de Falhas de Séries de Precipitação Pluviométrica nas Sub-bacias Hidrográficas Localizadas em Regiões de Classificação Climática Distintas no Estado do Paraná." Revista Brasileira de Geografia Física 14, no. 4 (2021): 2149–71. http://dx.doi.org/10.26848/rbgf.v14.4.p2149-2171.

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Hydroclimatological monitoring is of great relevance in problems involving socioeconomic and environmental issues. In this context, rainfall is an impacting factor in the interrelationship between climate and hydrography, and it is important to evaluate its characteristics and spatiotemporal distribution that help in urban territorial planning. This research aimed to assess the ordinary kriging technique, using the stable geostatistical model in filling gaps in monthly rainfall series, as well to analyze its spatialization in seasonal and annual periods in the hydrographic sub-basins of the Upper Tibagi River and the Lower Ivaí River, located in climatically distinct regions in the State of Parana. Monthly data of rainfall stations belonging to the Instituto Aguas Parana, INMET and IAPAR from 1974 to 2018 were used. ArcGis software was used for interpolation and generation of georeferenced maps, and a statistical analysis to verify the efficiency of the modeling, was conducted using the Wilcoxon test at 5% and EMA, REQM, r, d (Willmott), NS (Nash-Sutcliffe) statistics. In general, the rainfall classes were similarly represented in the maps generated with observed data and filled by the stable model. The statistical analysis showed a good efficiency of the modeling in the seasonal and annual periods, presenting relatively minimum values of EMA and REQM, as well as expressive values of the indexes r, d and NS, mainly, in the sub-basin of the Upper Tibagi River. Although the sub-basins are located in different climatic regions, anomalies due to local factors were not found in the data modeling and spatialization process.

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17

Junwen, CUI, SHI Jinsong, LI Pengwu, ZHANG Xiaowei, GUO Xianpu, and DING Xiaozhong. "Numerical Modeling of Basin-Range Tectonics Related to Continent-Continent Collision." Acta Geologica Sinica - English Edition 79, no. 1 (February 2005): 24–35. http://dx.doi.org/10.1111/j.1755-6724.2005.tb00864.x.

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18

Horváth, Á., I. Geresdi, P. Németh, K. Csirmaz, and F. Dombai. "Numerical modeling of severe convective storms occurring in the Carpathian Basin." Atmospheric Research 93, no. 1-3 (July 2009): 221–37. http://dx.doi.org/10.1016/j.atmosres.2008.10.019.

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19

Miksat, Joachim, Kuo-Liang Wen, Vladimir Sokolov, Chun-Te Chen, and Friedemann Wenzel. "Simulating the Taipei basin response by numerical modeling of wave propagation." Bulletin of Earthquake Engineering 8, no. 4 (December 25, 2009): 847–58. http://dx.doi.org/10.1007/s10518-009-9171-0.

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20

CHARAFI, MY M., A. SADOK, A. KAMAL, and A. MENAI. "NUMERICAL MODELING OF WATER CIRCULATION AND POLLUTANT TRANSPORT IN A SHALLOW BASIN." International Journal of Modern Physics C 11, no. 04 (June 2000): 655–64. http://dx.doi.org/10.1142/s0129183100000572.

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A two-dimensional numerical model was developed1–3 to simulate the sediment and pollutant transport in a shallow basin. The developed model consist of two modules: Hydrodynamic module and sediment/pollutant transport module. A numerical hydrodynamic module based on the Saint-Venant equations, is resolved by a MacCormack numerical scheme and is used to simulate the circulation pattern in the basin. The obtained flow circulation is used as an input to the sediment/pollutant transport module to simulate the transport and dispersion of a pollutant emitted into the basin. To calibrate the numerical model, the distorted scale model of the Windermere Basin4 was used. In this physical model, the flow visualization and pollutant transport experiments provide a good calibration. The simulated results were found to be in good agreement with the experimental measurements and the results in Ref. 4. With the aid of the validated model, the influence of the construction of dikes on the residence time distributions in the basin was examined.

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21

Graves, Robert W., and Robert W. Clayton. "Modeling path effects in three-dimensional basin structures." Bulletin of the Seismological Society of America 82, no. 1 (February 1, 1992): 81–103. http://dx.doi.org/10.1785/bssa0820010081.

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Abstract Path effects for seismic wave propagation within three-dimensional (3-D) basin structures are analyzed using a reciprocal source experiment. In this experiment, a numerical simulation is performed in which a point source is excited at a given location and then the wave field is propagated and recorded throughout a 3-D grid of points. Using the principle of reciprocity, source and receiver locations are reversed. This allows the modeling of path effects into a particular observation site for all possible source locations using only one simulation. The numerical technique is based on the use of paraxial extrapolators and currently tracks only acoustic waves. However, the method is capable of handling arbitrary media variations; thus, effects due to focusing, diffraction, and the generation of multiple reflections and refractions are modeled quite well. The application of this technique to model path effects for local earthquakes recorded at stations in the Los Angeles area of southern California indicates the strong influence of the 3-D crustal basins of this region on the propagation of seismic energy. The modeling results show that the Los Angeles, San Fernando, and San Gabriel basins create strong patterns of focusing and defocusing for paths into these stations from various source locations. These simulations correlate well with earthquake data recorded at both stations. By comparing these calculations with earthquake data, we can begin to evaluate the importance of these basin effects on observed patterns of strong ground motions.

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22

Winters, W. R., and R. C. Capo. "Numerical Modeling of a Large Mined Synclinal Coal Basin, Westmoreland County, Pennsylvania." Journal American Society of Mining and Reclamation 2004, no. 1 (2004): 2061–65. http://dx.doi.org/10.21000/jasmr04012061.

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23

Winters, William R., and Rosemary C. Capo. "NUMERICAL MODELING OF A LARGE MINED SYNCLINAL COAL BASIN, WESTMORELAND COUNTY, PENNSYLVANIA." Journal American Society of Mining and Reclamation 2004, no. 1 (June 30, 2004): 2061–65. http://dx.doi.org/10.21000/jasmr0402061.

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24

Yamanaka, Hiroaki, Kazuoh Seo, and Takanori Samano. "Analysis and Numerical Modeling of Surface-Wave Propagation in a Sedimentary Basin." Journal of Physics of the Earth 40, no. 1 (1992): 57–71. http://dx.doi.org/10.4294/jpe1952.40.57.

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25

WAPLES, Douglas W. "Innovative methods for quantifying poorly known parameters necessary for numerical basin modeling." Journal of the Japanese Association for Petroleum Technology 56, no. 1 (1991): 96–107. http://dx.doi.org/10.3720/japt.56.96.

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26

Potter, Ross W. K., David A. Kring, Gareth S. Collins, Walter S. Kiefer, and Patrick J. McGovern. "Numerical modeling of the formation and structure of the Orientale impact basin." Journal of Geophysical Research: Planets 118, no. 5 (May 2013): 963–79. http://dx.doi.org/10.1002/jgre.20080.

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27

Khalifa, M. "Calmness Study for Container Handling Ports with Open Basin Systems Using Numerical Modeling." Journal of King Abdulaziz University-Marine Sciences 20, no. 1 (2009): 69–88. http://dx.doi.org/10.4197/mar.20-1.6.

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28

van der Wegen, Mick. "Numerical modeling of the impact of sea level rise on tidal basin morphodynamics." Journal of Geophysical Research: Earth Surface 118, no. 2 (April 22, 2013): 447–60. http://dx.doi.org/10.1002/jgrf.20034.

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29

Schneiderwind, S., S. J. Boulton, I. Papanikolaou, M. Kázmér, and K. Reicherter. "Numerical modeling of tidal notch sequences on rocky coasts of the Mediterranean Basin." Journal of Geophysical Research: Earth Surface 122, no. 5 (May 2017): 1154–81. http://dx.doi.org/10.1002/2016jf004132.

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30

An, Sang Do, Gi-Ho Kim, and Won Cheol Park. "Three-dimensional numerical modeling of sediment-induced density currents in a sedimentation basin." Journal of Korean Society of Water and Wastewater 27, no. 3 (June 15, 2013): 383–94. http://dx.doi.org/10.11001/jksww.2013.27.3.383.

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31

Cui, Tao, Jianwen Yang, and Iain M. Samson. "Numerical modeling of hydrothermal fluid flow in the Paleoproterozoic Thelon Basin, Nunavut, Canada." Journal of Geochemical Exploration 106, no. 1-3 (July 2010): 69–76. http://dx.doi.org/10.1016/j.gexplo.2009.12.008.

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32

Sophocleous, M. A., J. K. Koelliker, R. S. Govindaraju, T. Birdie, S. R. Ramireddygari, and S. P. Perkins. "Integrated numerical modeling for basin-wide water management: The case of the Rattlesnake Creek basin in south-central Kansas." Journal of Hydrology 214, no. 1-4 (January 1999): 179–96. http://dx.doi.org/10.1016/s0022-1694(98)00289-3.

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33

TANAKA, Tomohiro, Yasuto TACHIKAWA, Michiharu SHIIBA, Kazuaki YOROZU, and Sunmin KIM. "NUMERICAL MODELING AND ESTIMATION OF RADIOACTIVE CESIUM MOVEMENT AT THE KUCHIBUTO RIVER BASIN, FUKUSHIMA." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 69, no. 4 (2013): I_487—I_492. http://dx.doi.org/10.2208/jscejhe.69.i_487.

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34

Inati, Lama, Jean-Claude Lecomte, Hermann Zeyen, Fadi Henri Nader, Mathilde Adelinet, Muhsin Elie Rahhal, and Alexandre Sursock. "Crustal configuration in the northern Levant basin based on seismic interpretation and numerical modeling." Marine and Petroleum Geology 93 (May 2018): 182–204. http://dx.doi.org/10.1016/j.marpetgeo.2018.03.011.

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35

Christodoulou, George C., and George D. Economou. "BOUNDARY CONDITIONS IN FINITE ELEMENT MODELING OF STRATIFIED COASTAL CIRCULATION." Coastal Engineering Proceedings 1, no. 21 (January 29, 1988): 190. http://dx.doi.org/10.9753/icce.v21.190.

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The effect of boundary conditions on numerical computations of stratified flow in coastal waters is examined. Clamped, free radiation and sponge layer conditions are implemented in a two-layer finite element model and the results of simple tests in a two-layer stratified basin are presented.

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36

Galushkin, Yu I., Ali El Maghbi, and M. El Gtlawi. "Thermal regime and amplitude of lithosphere extension in the Sirte basin, Libya: Numerical estimates in the plane basin modeling system." Izvestiya, Physics of the Solid Earth 50, no. 1 (January 2014): 73–86. http://dx.doi.org/10.1134/s1069351313060025.

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37

Smith, Eric D., and Jeffrey A. Oskamp. "REAL TIME VESSEL SIMULATION INCORPORATING COASTAL NUMERICAL MODELING." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 51. http://dx.doi.org/10.9753/icce.v36.risk.51.

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Real time vessel simulation has become an integral part of design of navigation channels, harbor geometries, and marine terminals. Generalized guidance for channel width, bend radii, and turning basin dimensions is documented in numerous sources (e.g. PIANC, ASCE) based on typical environmental parameters of current magnitude, wind speed, and wave height. Common to all the guidance is to confirm and finalize geometry and operability based on vessel simulation studies. A real time vessel simulator incorporates various data to represent the response of a vessel to helm controls of the pilot such as water depth, currents, waves, winds, drag, rudder force, and tug boat power. A key component of the simulation is that the computations occur in real time such that the pilot does not notice any lag due to computer processing. As such the fidelity of environmental input to the simulation has often been limited to avoid congestion. Furthermore, vessel simulation software was designed for quick modification in training simulations with simple parameters to apply the conditions uniformly over the model domain. As a result, the implementation of metocean conditions in real time simulation is often truncated based on a simple characterization of sea state and currents to a snap shot of time, represented by a static current field representing peak and ebb or flood tide or by simple representative vectors. However, there are aspects of assessing channel design which benefit from simulating the changing of metocean conditions simultaneously with vessel maneuvering. With improving processing power of simulators, it is possible to incorporate time-varying numerical modeling results directly with fine resolution. This paper presents applications of coastal engineering tools and techniques for real time vessel simulation in conjunction with high resolution coastal hydrodynamic modeling for waterway design.

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38

Urbański, Janusz, Piotr Siwicki, Adam Kiczko, Adam Kozioł, and Marcin Krukowski. "The length of the hydraulic jump on the basis of physical and numerical modeling." Annals of Warsaw University of Life Sciences – SGGW. Land Reclamation 50, no. 1 (March 1, 2018): 33–42. http://dx.doi.org/10.2478/sggw-2018-0003.

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Abstract The outcomes of physical and numerical modeling of the sluice gate outflow are presented. The measured velocity distributions in verticals of a physical model were compared with results of numerical modeling, obtained using ANSYS Fluent software. The research goal was verification of suitability of the computational fluid dynamic (CFD) approach in determination of the hydraulic jump length at the outflow of the flow control structure. Studies were performed for the model of the sluice gate and stilling basin with two setups of baffle blocks: in one and two rows. The jump lengths were estimated by an analysis of vertical velocity profiles at the outflow. Two rows of baffle blocks in the stilling basin allowed to reduce the length of the hydraulic jump by 5–10%, comparing to the length with the single row of blocks. The computational fluid dynamic approach underestimated the length of the hydraulic jump by 4–7%, comparing to the physical model.

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39

Wang, Chuanhai, Wenjuan Hua, Gang Chen, Xing Fang, and Xiaoning Li. "Distributed-Framework Basin Modeling System: I. Overview and Model Coupling." Water 13, no. 5 (March 2, 2021): 678. http://dx.doi.org/10.3390/w13050678.

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To better simulate the river basin hydrological cycle and to solve practical engineering application issues, this paper describes the distributed-framework basin modeling system (DFBMS), which concatenate a professional hydrological model system, a geographical integrated system, and a database management system. DFBMS has two cores, which are the distributed-frame professional modeling system (DF-PMS) and the double-object sharing structure (DOSS). An area/region that has the same mechanism of runoff generation and/or movement is defined as one type of hydrological feature unit (HFU). DF-PMS adopts different kinds of HFUs to simulate the whole watershed hydrological cycle. The HFUs concept is the most important component of DF-PMS, enabling the model to simulate the hydrological process with empirical equations or physical-based submodules. Based on the underlying source code, the sharing uniform data structure, named DOSS, is proposed to accomplish the integration of a hydrological model and geographical information system (GIS), which is a new way of exploring temporal GIS. DFBMS has different numerical schemes including conceptual and distributed models. The feasibility and practicability of DFBMS are proven through its application in different study areas.

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40

Ahmed, Ahmed Wedam, Ekrem Kalkan, Artur Guzy, Mine Alacali, and Agnieszka Malinowska. "Modeling of land subsidence caused by groundwater withdrawal in Konya Closed Basin, Turkey." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 397–401. http://dx.doi.org/10.5194/piahs-382-397-2020.

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Abstract. Land subsidence is a threat that occurs worldwide as a result of the withdrawal of fluid and also underground mining. The subsidence is mainly due to excessive groundwater withdrawal from certain types of rocks, such as fine-grained sediments. Mitigating the effects of land subsidence generally requires careful observations of the temporal change in groundwater level and ideally modeling of groundwater flow and subsidence. In Turkey, land subsidence is a crucial issue in the Konya Closed Basin. When simulating the effect of long-term groundwater withdrawal on the spatial variation of subsidence rates, various coupled numerical groundwater-flow and subsidence models have been used. Also, GPS, InSAR and ENVISAT SAR images have been used for verification of the models' parameters. In the work reported here, a novel numerical solution based on consolidation theory was developed in MATLAB to predict the land subsidence of the Konya Closed Basin. In order to adjust the model to the local conditions, historical data from the study area for the years 2011–2014 were used. The presented solution allowed for subsidence model development which can support the prediction of the ground movement for the Konya Closed Basin in Turkey.

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41

Chećko, Jarosław, Tomasz Urych, Małgorzata Magdziarczyk, and Adam Smoliński. "Resource Assessment and Numerical Modeling of CBM Extraction in the Upper Silesian Coal Basin, Poland." Energies 13, no. 9 (May 1, 2020): 2153. http://dx.doi.org/10.3390/en13092153.

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The paper presents the assessment of the resources of methane considered as the main mineral in the most prospective selected areas of the Upper Silesian Coal Basin, Poland in the region of undeveloped deposits. The methane resources were estimated by means of a volumetric method at three depth levels, 1000, 1250, and 1500 m. A part of the Studzienice deposit comprising three coal seams, 333, 336, and 337, located in a methane zone was chosen for the numerical modeling of simulated methane production. The presented static 3D model has been developed using Petrel Schlumberger software. The total resources of methane in the area amount to approximately 446.5 million of Nm3. Numerical simulations of methane production from the selected coal seams with hydraulic fracturing were conducted by means of Schlumberger ECLIPSE reservoir simulator. Based on the simulations, it was concluded that, in the first six months of the simulations, water is produced from the seams, which is connected with the decrease in the rock mass pressure. The process prompts methane desorption from the coal matrix, which in turn results in a total methane production of 76.2 million of Nm3 within the five-year period of the simulations, which constitutes about 17% of total methane resources (GIP). The paper also presents a detailed analysis of Polish legislation concerning the activities aimed at prospecting, exploring, and extracting the deposits of hydrocarbons.

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42

TODA, Yuji, Takamasa YAMASHITA, Hitoshi MIYAMOTO, and Tetsuro TSUJIMOTO. "NUMERICAL MODELING OF RIVER ECOSYSTEM AND APPLICATION TO CHANNEL NETWORK STRUCTURE IN A RIVER BASIN." Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 69, no. 6 (2013): II_127—II_138. http://dx.doi.org/10.2208/jscejer.69.ii_127.

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43

Huang, Bor-Shouh, Ta-Liang Teng, and Yeong Tein Yeh. "Numerical Modeling for Acoustic Scattering of 3-D Spherical Wavefronts:Implications on Near Source Basin Amplification." Terrestrial, Atmospheric and Oceanic Sciences 6, no. 2 (1995): 251. http://dx.doi.org/10.3319/tao.1995.6.2.251(t).

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Vedachalam, N., S. Ramesh, V. B. N. Jyothi, N. Thulasi Prasad, D. Sathianarayanan, R. Ramesh, and G. A. Ramadass. "Numerical modeling of methane gas production from hydrate reservoir of Krishna Godhavari basin by depressurization." Marine Georesources & Geotechnology 37, no. 1 (January 30, 2018): 14–22. http://dx.doi.org/10.1080/1064119x.2018.1424972.

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Alberti, Luca, Martino Cantone, Silvia Lombi, and Alessandra Piana. "Numerical modeling of regional groundwater flow in the Adda-Ticino Basin: advances and new results." Rendiconti Online della Società Geologica Italiana 41 (November 2016): 10–13. http://dx.doi.org/10.3301/rol.2016.80.

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46

Zhu, Meng-Hua, Kai Wünnemann, and Ross W. K. Potter. "Numerical modeling of the ejecta distribution and formation of the Orientale basin on the Moon." Journal of Geophysical Research: Planets 120, no. 12 (December 2015): 2118–34. http://dx.doi.org/10.1002/2015je004827.

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47

Longoni, Matteo, A. Cristiano I. Malossi, Alfio Quarteroni, Andrea Villa, and Paolo Ruffo. "An ALE-based numerical technique for modeling sedimentary basin evolution featuring layer deformations and faults." Journal of Computational Physics 230, no. 8 (April 2011): 3230–48. http://dx.doi.org/10.1016/j.jcp.2011.01.027.

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48

Sikdar, P. K., P. Sahu, S. P. Sinha Ray, A. Sarkar, and S. Chakraborty. "Migration of arsenic in multi-aquifer system of southern Bengal Basin: analysis via numerical modeling." Environmental Earth Sciences 70, no. 4 (February 12, 2013): 1863–79. http://dx.doi.org/10.1007/s12665-013-2274-6.

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49

Garofalo, G., M. Carbone, and P. Piro. "Sampling, testing and modeling particle size distribution in urban catch basins." Water Science and Technology 70, no. 11 (September 26, 2014): 1873–79. http://dx.doi.org/10.2166/wst.2014.409.

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The study analyzed the particle size distribution of particulate matter (PM) retained in two catch basins located, respectively, near a parking lot and a traffic intersection with common high levels of traffic activity. Also, the treatment performance of a filter medium was evaluated by laboratory testing. The experimental treatment results and the field data were then used as inputs to a numerical model which described on a qualitative basis the hydrological response of the two catchments draining into each catch basin, respectively, and the quality of treatment provided by the filter during the measured rainfall. The results show that PM concentrations were on average around 300 mg/L (parking lot site) and 400 mg/L (road site) for the 10 rainfall-runoff events observed. PM with a particle diameter of <45 μm represented 40–50% of the total PM mass. The numerical model showed that a catch basin with a filter unit can remove 30 to 40% of the PM load depending on the storm characteristics.

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Bates, Beruvides, and Fedler. "System Dynamics Approach to Groundwater Storage Modeling for Basin-Scale Planning." Water 11, no. 9 (September 12, 2019): 1907. http://dx.doi.org/10.3390/w11091907.

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A system dynamics approach to groundwater modeling suitable for groundwater management planning is presented for a basin-scale system. System dynamics techniques were used to develop a general model for estimating changes in net annual groundwater storage. This model framework was applied to two inland groundwater basins in California and tested against groundwater depletion data developed by the United States Geological Survey. Changes in net groundwater storage developed from these models were compared to values from numerical models provided by the United States Geological Survey. The basin-specific models were able to replicate changes in net annual groundwater storage volumes for 1-year and 5-year periods at a level suitable for planning, with R2 values ranging from 0.88 to 0.93. At the 10-year prediction period, R2 values ranged from 0.83 to 0.91. The results of this research illustrate that a system dynamics model using observed relationships between components may be capable of predicting behavior for the purposes of groundwater management planning.

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