180 research outputs found
Seiyō kodai chūsei tetsugakushi /
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ENTIRE FUNCTIONS SHARING POLYNOMIALS WITH THEIR DERIVATIVES
In this paper we study the uniqueness of entire functions sharing two polynomials with their derivatives. The results of the paper improve the corresponding results of Chang and Fang (Kodai Math.J. 25(2002), 309–320) and Lahiri-Ghosh(Present author) (Analysis ,Munich. 31(2011), 47–59)
気候変動と土地利用変化が湿潤熱帯流域の洪水氾濫に及ぼす影響評価:インドネシア国スマトラ島における事例研究
付記する学位プログラム名: グローバル生存学大学院連携プログラム京都大学新制・課程博士博士(工学)甲第23163号工博第4807号新制||工||1752(附属図書館)京都大学大学院工学研究科社会基盤工学専攻(主査)教授 立川 康人, 教授 田中 茂信, 准教授 佐山 敬洋学位規則第4条第1項該当Doctor of Philosophy (Engineering)Kyoto UniversityDFA
Reproducibility of Water Level at Upstream Gauging Stations Using RRI Model for the Kamo River Basin, Kyoto Prefecture, Japan
Due to recent flood disasters, it is important to understand water level and flood damage at multiple locations over a basin. However, the reproducibility of rainfall-runoff model was not well investigated at upstream locations in small-to-medium sized rivers. This research aims to validate the applicability of the RRI for discharge and water levels in small and medium rivers. The RRI was applied to Kamo river basin with resolution of 120m using river cross section data measured by laser profiler and was calibrated for 6 flood events at a gauging station. The model is capable of reproducing time series and peak of water level at upstream stations for 7 flood events. In addition, the model is capable of simulating time when water level exceeds a warning level. In conclusion, this study shows that the RRI is applicable to upstream gauging stations in Kamo river basin
Entire functions sharing a linear polynomial with linear differential polynomials
In the paper we study the uniqueness of entire functions sharing a linear
polynomial with linear differential polynomials generated by them. The
results of the paper improves the corresponding results of P. Li (Kodai Math
J. 22: 446-457, 1999), Lahiri-Present author(G. K. Ghosh) (Analysis
(Munich)31: 331-340,2011) and Lahiri-Mukherjee(Bull. Aust. Math. Soc. 85:
295-306, 2012).</jats:p
A facile strategy for manipulating micellar size and morphology through intramolecular cross-linking of amphiphilic block copolymers
The effect of intramolecular cross-linking in an amphiphilic block copolymer (BCP) system was systematically investigated in terms of its thermal properties, critical micelle concentration (CMC), and aqueous self-assembly. A series of linear BCPs consisting of poly(ethylene glycol) (PEG) as a hydrophilic block and poly(epsilon-caprolactone-co-7-allyloxepan-2-one) (P(CL-co-ACL)) as a hydrophobic block were prepared by the ring-opening copolymerization of epsilon-caprolactone (CL) and 7-allyloxepan-2-one (ACL) using poly (ethylene glycol) monomethyl ether as an initiator. The intramolecular olefin metathesis reaction in the P(CL-co-ACL) block was subsequently carried out under various conditions to prepare the cross-linked BCPs with different degrees of cross-linking. The thermal analysis confirmed that the linear P(CL-co-ACL) block was found to crystallize, while the cross-linked one showed no crystallinity. In addition, glass transition temperature of the P(CL-co-ACL) block increased upon cross-linking. On the other hand, the intramolecular cross-linking had no significant influence on the CMC. The self-assembled micelles were prepared from the obtained BCPs and their size and morphology were investigated. For the BCPs with relatively short PEG chains, the micellar size decreased from 36.6 nm to 16.7 nm as the degree of cross-linking of the P(CL-co-ACL) block increased. On the other hand, the BCPs with relatively long PEG chains showed a change in the micellar morphology from spherical micelles to short worm and large compound micelles upon cross-linking
Impact of climate change on flood inundation in a tropical river basin in Indonesia
Climate change will have a significant impact on the water cycle and will lead to severe environmental problems and disasters in humid tropical river basins. Examples include river basins in Sumatra Island, Indonesia, where the coastal lowland areas are mostly composed of peatland that is a wetland environment initially sustained by flooding from rivers. Climate change may alter the frequency and magnitude of flood inundation in these lowland areas, disturbing the peatland environment and its carbon dynamics and damaging agricultural plantations. Consequently, projecting the extent of inundation due to future flooding events is considered important for river basin management. Using dynamically downscaled climate data obtained by the Non-Hydrostatic Regional Climate Model (NHRCM), the Rainfall-Runoff-Inundation (RRI) model was applied to the Batanghari River Basin (42, 960 km²) in Sumatra Island, Indonesia, to project the extent of flood inundation in the latter part of the twenty-first century. In order to obtain reasonable estimates of the extent of future flood inundation, this study compared two bias correction methods: a Quantile Mapping (QM) method and a combination of QM and Variance Scaling (VS) methods. The results showed that the bias correction obtained by the QM method improved the simulated flow duration curve (FDC) obtained from the RRI model, which facilitated comparison with the simulated FDC using reference rainfall data. However, the high spatial variability observed in daily and 15-day rainfall data remained as the spatial variation bias, and this could not be resolved by simple QM bias correction alone. Consequently, the simulated extreme variables, such as annual maximum flood inundation volume, were overestimated compared to the reference data. By introducing QM-VS bias correction, the cumulative density functions of annual maximum discharge and inundation volumes were improved. The findings also showed that flooding will increase in this region; for example, the flood inundation volume corresponding to a 20-year return period will increase by 3.3 times. River basin management measures, such as land use regulations for plantations and wetland conservation, should therefore consider increases in flood depth and area, the extents of which under a future climate scenario are presented in this study
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