New method to estimate bedrock shape of small-scale basin using modal properties of sediment

2021 ◽  
Vol 149 ◽  
pp. 106882
Author(s):  
Yusuke Suzuki ◽  
Kahori Iiyama ◽  
Hitoshi Morikawa ◽  
Kimitoshi Sakai ◽  
Go Araki
Keyword(s):  
New Method ◽  
Small Scale ◽  
Modal Properties

scholarly journals Improving drainage conditions of forest roads using the GIS and forest road simulator

2020 ◽  
Vol 66 (No. 9) ◽  
pp. 361-367
Author(s):  
Mehran Nasiri
Keyword(s):  
Large Scale ◽  
Geometric Design ◽  
New Method ◽  
Small Scale ◽  
Forest Roads ◽  
Forest Road ◽  
Hydrological Conditions ◽  
Large Scale Study ◽  
The Cost

In this study a new method of locating culverts is presented with the composition of achieved discharge from hydrological analysis and simulated forest roads in RoadEng 3D simulator to improve drainage condition. Locating culverts was performed on a small scale (1:20 000, using GIS) and large scale (1:2 000, road geometric design simulator). The small-scale study regarding the achieved discharge from streams shows that the installation of some culverts is not necessary. The large-scale study also showed that the geometric design of forest road has a significant effect on locating culverts and its accuracy. To improve drainage conditions 6 culverts and 2 waterfronts taking into account the geometric design of forest road, hydrological conditions and appropriate intervals (155 m) have been proposed. No installation or lack of accuracy to find the best location of culverts may result in the occurrence of creep and landslide, so the cost of destruction would be several times higher than the cost of technical buildings construction.

scholarly journals Nueva metodología para evaluar las características enológicas de las unidades de un terroir. Vinificación de mistela.

2018 ◽  
Vol 50 ◽  
pp. 01022
Author(s):  
Ernesto Franco ◽  
Miguel Lorente
Keyword(s):  
Alcoholic Fermentation ◽  
Small Volume ◽  
New Method ◽  
Small Scale ◽  
Limited Information ◽  
Simple Method ◽  
Geographical Environment

To To characterize terroir units that express the interaction between the vine and the geographical environment it is necessary to study the oenological parameters of each terroir. Nevertheless, this study presents many difficulties if the number of areas to study it is huge as it was the case of the zoning of DOP Campo de Borja. Grape analyses during harvest are expensive and give limited information. At the same time, fermentations in small-volume containers are difficult to control and introduce factors that are not directly related to the geographical environment. These small-scale fermentations can distort the link between the wine and the soil giving inaccurate results. In the project for the zoning of the DOP Campo de Borja has been used a new simple method which consists in vinification mistela. This new method consisted on producing a wine spirit directly from the grapes but without alcoholic fermentation. Therefore, with this new methodology of making mistelas, an wine produced without fermentation, was possible to obtain the contribution of the terroir of the DOP Campo de Borja to the composition of the grape and, consequently to the wines

scholarly journals Quadratic Program on a Structured Nonconvex Set

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Yi Xu ◽  
Lili Han
Keyword(s):  
Numerical Results ◽  
New Method ◽  
Convex Program ◽  
Quadratic Program ◽  
Small Scale ◽  
Bilevel Program ◽  
Feasible Set ◽  
Low Level ◽  
Nonconvex Quadratic Program ◽  
Upper Level

In this paper, we focus on a special nonconvex quadratic program whose feasible set is a structured nonconvex set. To find an effective method to solve this nonconvex program, we construct a bilevel program, where the low-level program is a convex program while the upper-level program is a small-scale nonconvex program. Utilizing some properties of the bilevel program, we propose a new algorithm to solve this special quadratic program. Finally, numerical results show that our new method is effective and efficient.

scholarly journals Ensemble Postprocessing of Daily Precipitation Sums over Complex Terrain Using Censored High-Resolution Standardized Anomalies

2017 ◽  
Vol 145 (3) ◽  
pp. 955-969 ◽  
Author(s):  
Reto Stauffer ◽  
Nikolaus Umlauf ◽  
Jakob W. Messner ◽  
Georg J. Mayr ◽  
Achim Zeileis
Keyword(s):  
Daily Precipitation ◽  
Scale Effects ◽  
Large Fraction ◽  
New Method ◽  
Ensemble Prediction ◽  
Small Scale ◽  
Response Distribution ◽  
Ensemble Forecasts ◽  
Probabilistic Forecasts ◽  
Scale Properties

Probabilistic forecasts provided by numerical ensemble prediction systems have systematic errors and are typically underdispersive. This is especially true over complex topography with extensive terrain-induced small-scale effects, which cannot be resolved by the ensemble system. To alleviate these errors, statistical postprocessing methods are often applied to calibrate the forecasts. This article presents a new full-distributional spatial postprocessing method for daily precipitation sums based on the standardized anomaly model output statistics (SAMOS) approach. Observations and forecasts are transformed into standardized anomalies by subtracting the long-term climatological mean and dividing by the climatological standard deviation. This removes all site-specific characteristics from the data and makes it possible to fit one single regression model for all stations at once. As the model does not depend on the station locations, it directly allows the creation of probabilistic forecasts for any arbitrary location. SAMOS uses a left-censored power-transformed logistic response distribution to account for the large fraction of zero observations (dry days), the limitation to nonnegative values, and the positive skewness of the data. ECMWF reforecasts are used for model training and to correct the ECMWF ensemble forecasts with the big advantage that SAMOS does not require an extensive archive of past ensemble forecasts as only the most recent four reforecasts are needed, and it automatically adapts to changes in the ECMWF ensemble model. The application of the new method to the central Alps shows that the new method is able to depict the small-scale properties and returns accurate fully probabilistic spatial forecasts.

A Restoration Study of Bokchundong-34's Armor and Helmet

2018 ◽  
pp. 87-113
Author(s):  
Jun Hyun Park ◽  
Seong Ho Kim ◽  
Jae Hwi Kim
Keyword(s):  
Vertical Plate ◽  
Fifth Century ◽  
New Method ◽  
Small Scale ◽  
Production Methods ◽  
Connection Method ◽  
Critical Site ◽  
Vertical Hole

Bokchundong-Tombs, from which various Armors of the fourth and fifth centuries were excavated, is a critical site for Three-Kingdom era Armor research. Despite the excavation of various types of Armor, including Scale Armor, Neck Aromor, Vertical Plate Helmet, and Bard(Horse Sacale Armor), Bokchundong-34 has not captured scholastic attention due to the lack of detailed information. This report examined the significance of Bokchundong-34 through the examination of recently reported restoration and production methods of Bokchundong-34 Armors. First of all, the research found Scale Armor to be Dong-hwan Scale Armor, comprised of Body-Lameller, Waist-Lameller, and Skirt-Lameller depending on the form of Lameller and arrangement of Hole. Also, Scale Armor has an S-shaped Waist- Lameller and 2-Line Vertical Binding. Furthermore, the connection method through Body-Lameller s Third Vertical Hole and the Vertical Binding method of the last hem Skirt-Lameller is a new method that has never been introduced. The report estimates Brachial Armors to have connected Lamellers through Fan shape and had the overall form of Upside-down Trapezoid style. Hyeok-po that covers Lameller s edge and Inner side with a layer of leather were confirmed from Neck Aromor and Vertical Plate Helmet, and the 1 Hole Which is placed in Neck Lameller center is thought to have bonded the Layer of leather with Lameller. Lastly, Bard, although very similar in overall form to Jjokssaem-C10 with Rectangular Lameller and Hoof-shaped Lameller, was decided to be an arrangement only with Neck and Chest Armor. In conclusion, Bokchundong-34 embodies transitional aspects of Armor of Yeongnam area characterized by Heavy Cavalry through Armor-Combine typical of the first quarter of the fifth century. Also, the excavation of Heavy Cavalry s Armor from Bokchundong-34, despite its relatively small scale, implies the advanced military might of Bokchundong-Tombs at the time.

Modeling Permeability Distributions in a Sandstone Core for History Matching Coreflood Experiments

SPE Journal ◽  
2011 ◽  
Vol 16 (04) ◽  
pp. 768-777 ◽  
Author(s):  
M.. Krause ◽  
J.-C.. -C. Perrin ◽  
S.M.. M. Benson
Keyword(s):  
Spatial Distribution ◽  
Numerical Simulations ◽  
Capillary Pressure ◽  
Spatial Variations ◽  
New Method ◽  
Small Scale ◽  
Experimental Measurements ◽  
Saline Aquifer ◽  
Aquifer Storage ◽  
The Core

Summary Saline-aquifer storage of carbon dioxide (CO2) has become recognized as an important strategy for climate-change mitigation. Saline aquifers have very large estimated storage capacities, are distributed broadly across the globe, and have the potential for geologic-scale retention times. Many of these storage sites are not well characterized, and it is critical to conduct detailed experiments and analysis to understand how features such as heterogeneity can influence the theoretical storage capacity, spatial extent of plume migration, and secondary trapping processes. Coreflooding experiments are used routinely by the oil and gas industry for such analysis and provide a very useful tool for studying saline-aquifer formations also. Numerical simulations of these coreflooding experiments can provide insight beyond the experimental measurements themselves, such as numerically studying how properties such as relative permeability and capillary pressure affect CO2 distribution in these systems under various flow conditions. However, accurate subcore-scale simulations of these experiments have remained a challenge, and the issue of how to represent subcorescale permeability has not been resolved previously. Laboratory coreflooding experiments injecting CO2 into a saline-water-saturated Berea sandstone core have been conducted at reservoir conditions. Computed-tomography (CT) scans of the core show large spatial variations of CO2 saturation, even within a relatively homogeneous core. Numerical simulations of the experiment have been conducted to study the effect of subcorescale heterogeneity and the role of permeability in determining the subcore-scale CO2 distribution in the core to explain these very large spatial variations in CO2 saturation. Numerical simulations of the experiment consistently showed that use of traditional methods for estimating subcore-scale permeability, typically based solely on porosity distributions, results in subcore-scale saturation distributions that do not match experimental measurements. In this paper, we develop a new method for calculating subcore-scale permeability distributions on the basis of capillary pressure measurements and porosity distributions as an alternative to the traditional porosity-only-based models. Using experimentally measured saturation and porosity distributions and capillary pressure data to calculate permeability, simulations based on this new method show a substantial improvement both in the absolute value and in the spatial distribution of predicted CO2-saturation values. With this technique for accurately calculating permeability distributions, it is possible to study subcore-scale multiphase flow of brine and CO2 to understand how small-scale heterogeneities influence the spatial distribution of CO2 saturation and to improve our ability to predict the fate of stored CO2.

Cloud motion estimation from small-scale irradiance sensor networks: General analysis and proposal of a new method

Solar Energy ◽  
2020 ◽  
Vol 202 ◽  
pp. 276-293
Author(s):  
Manuel Jesús Espinosa-Gavira ◽  
Agustín Agüera-Pérez ◽  
José-Carlos Palomares-Salas ◽  
Juan-José González-de-la-Rosa ◽  
José-María Sierra-Fernández ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Motion Estimation ◽  
General Analysis ◽  
New Method ◽  
Small Scale ◽  
Cloud Motion

Application of General Regression Neural Network in Characteristic Curve Fitting of Optical Fiber Micro-Bend Sensor

2013 ◽  
Vol 441 ◽  
pp. 116-119 ◽  
Author(s):  
Shuo Ding ◽  
Xiao Heng Chang ◽  
Qing Hui Wu
Keyword(s):  
Neural Network ◽  
Optical Fiber ◽  
Characteristic Curve ◽  
New Method ◽  
General Regression Neural Network ◽  
Small Scale ◽  
Training Samples ◽  
Nonlinear Compensation ◽  
General Regression ◽  
Bend Sensor

In order to reflect the input and output features of an optical fiber micro-bend sensor, a new method using general regression neural network (GRNN) to fit the characteristic curve is proposed in this paper. First, the measuring principle of optical fiber micro-bend sensor and the principle of GRNN are introduced. Then, to verify the feasibility and effectiveness of this new method, a comparison between two kinds of fitting methods is done. One is based on GRNN, the other is based on Levenberg-Marquart improved BPNN. The results of the simulation experiment show that with the same number of training samples and for small scale to medium scale networks, compared with BPNN, GRNN has smaller error, faster convergence speed and higher fitting accuracy. So the method discussed in this paper provides a reliable basis for the nonlinear compensation problem of optical fiber micro-bend sensor.

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