A Development of Multi-Site Rainfall Simulation Model Using Piecewise Generalize Pareto Distribution

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

Low Pressure Ethenolysis of Renewable Methyl Oleate in a Microchemical System

A microchemical system for ethenolysis of renewable methyl oleate was developed, in which the dual-phase, microfluidic design enabled efficient diffusion of ethylene gas into liquid methyl oleate through an increased contact area. The increased mass transfer of ethylene favored the formation of desired commodity chemicals with significantly suppressed homometathesis when compared to the bulk system. In addition to higher selectivity and conversion, this system also provides the typical advantages of a microchemical system, including the possibility of convenient scale-up

Alignment-Free and High-Frequency Compensation in Face Hallucination

Face hallucination is one of learning-based super resolution techniques, which is focused on resolution enhancement of facial images. Though face hallucination is a powerful and useful technique, some detailed high-frequency components cannot be recovered. It also needs accurate alignment between training samples. In this paper, we propose a high-frequency compensation framework based on residual images for face hallucination method in order to improve the reconstruction performance. The basic idea of proposed framework is to reconstruct or estimate a residual image, which can be used to compensate the high-frequency components of the reconstructed high-resolution image. Three approaches based on our proposed framework are proposed. We also propose a patch-based alignment-free face hallucination. In the patch-based face hallucination, we first segment facial images into overlapping patches and construct training patch pairs. For an input low-resolution (LR) image, the overlapping patches are also used to obtain the corresponding high-resolution (HR) patches by face hallucination. The whole HR image can then be reconstructed by combining all of the HR patches. Experimental results show that the high-resolution images obtained using our proposed approaches can improve the quality of those obtained by conventional face hallucination method even if the training data set is unaligned

Numerical simulation of the heavy rainfall caused by a convection band over Korea: a case study on the comparison of WRF and CReSS

This study investigates the capability of two numerical models, namely the Weather Research and Forecasting (WRF) and Cloud Resolving Storm Simulator (CReSS), to simulate the heavy rainfall that occurred on September 21, 2010 in the middle of the Korean peninsula. This event was considered part of the typical rainfall caused by intense quasi-stationary convection band, leading to a large accumulated rainfall amount within a narrow area. To investigate the relevant characteristics of this heavy rainfall and the feasibility of the numerical models to simulate them, the experiments using both numerical models were designed with a focus on Korea with a horizontal grid spacing of 2 km. The initial and later boundary conditions were interpolated using the output of the mesoscale model of Japan Meteorological Agency and integration spanned the 24-h period from 2100 UTC on September 20, 2010 when the rainfall started in the Yellow Sea. Generally, the spatial distribution and temporal evolution of the rainfall simulated by CReSS are closer than those of the WRF to the in situ observations (655 stations). The WRF simulation reveals the deficiency in capturing the unusual stagnant behavior of this event. The spatial and vertical patterns of reflectivity are consistent with the rainfall pattern, supporting that strong reflectivity coincides with the convective activity that accompanies excessive rainfall. The thermodynamic structure is the main driver of the different behavior between both simulations. The higher equivalent potential temperature, deep moist absolutely unstable layer and strong veering wind shear seen in the CReSS simulation play a role in the development of a favorable environment for inducing convection.National Institute of Meteorological Research (Korea) (Grant (NIMR-2012-B-7))Korea. Meteorological Administratio

Comparison Of Interpolation Technique For Rain Gauge Data Through The Distributed Rainfall-Runoff Model

Precipitation estimated from different measuring techniques such as rain gauge, radar and satellite have some similarities, but there are also differences among them. For example, techniques based on radar and satellite data underestimate rainfall than those using rain gauge data. In addition, many different interpolation techniques have been used to measure spatial pattern of precipitation but it is still difficult to have an accurate pattern by any one of them. The differences between the rainfall estimates from different techniques vary seasonally as well as regionally so that the radar or satellites are not directly applied into hydrologic analysis. In this regard, a main objective of this study is to develop a systematic way to interpolate ground rain gauge using discharge data from distributed rainfall-runoff model The spatial rainfall patterns estimated from the interpolation methods will be evaluated with the object function to minimize the difference between observed and estimated discharge. In other words, this study seeks to identify the optimal spatial pattern in rain field that can generate a similar pattern of observed discharge through the distributed rainfall-runoff model. This study will compare the spatial pattern from different types of climate systems and different seasons derived from different interpolation methods may help to validate the proposed algorithms

Has globalization strengthened South Korea's national research system?

노트 : The authors acknowledge a support from the SSK (Social Science Korea) Program funded by National Research Foundation of South Korea; NRF-2010-330-B00232