京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第20679号 / 工博第4376号 / 新制||工||1680(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 寶 馨, 教授 立川 康人, 准教授 佐山 敬洋 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

No description available.

Thesis (MSc)--Stellenbosch University, 2011. / ENGLISH ABSTRACT: Floods have been identified as one of the major natural hazards occurring in South Africa. A disaster risk assessment forms the first phase in planning for effective disaster risk management through identifying and assessing all hazards that occur within a geographical area, as required by the Disaster Management Act (Act No. 57 of 2002). The National Water Act (Act No. 36 of 1998) requires that flood lines be determined for areas where high risk dams exist and where new town developments occur. However, very few flood hazard maps exist in South Africa for rural areas. The data required for flood modelling analysis is very limited, particularly in rural areas. This study investigated whether flood hazard maps can be created using the existing data sources. A literature review of flood modelling methodologies, data requirements and flood hazard mapping was carried out and an assessment of all available flood-related data sources in South Africa was made. The most appropriate data sources were identified and used to assess an evaluation site. Through combining GIS and hydraulic modelling, results were obtained that indicate the likely extent, frequency and depth of predicted flood events. The results indicate that hydraulic modelling can be performed using the existing data sources but that not enough data is available for calibrating and validating the model. The limitations of the available data are discussed and recommendations for the collection of better data are provided. / AFRIKAANSE OPSOMMING: Vloede is van die vernaamste natuurlike gevare wat in Suid-Afrika voorkom. 'n Ramprisiko-analise is die eerste stap in die proses van suksesvolle ramprisiko-beplanning deur middel van die identifisering en analise van alle gevare wat voorkom in 'n geografiese gebied, soos vereis deur die Rampbestuurwet (Wet 57 van 2002). Die Nasionale Waterwet (Wet 36 van 1998) bepaal dat vloedlyne slegs vir gebiede waar hoë-risiko damme voorkom en vir nuwe uitbreidingsplanne in dorpe vasgestel moet word. Egter is die data wat vir vloedmodelleringsanalises benodig word baie skaars in Suid-Afrikaanse landelike gebiede. Hierdie studie het ondersoek of vloedgevaar-kartering met die beskikbare data moontlik is. 'n Literatuurstudie oor vloedmodelleringsmetodologieë, data-vereistes en vloedgevaarkartering is voltooi en alle beskikbare vloed-verwante data in Suid-Afrika is geëvalueer. Geskikte data-bronne is gekies en gebruik om 'n toetsgebied te assesseer. Deur GIS en hidrouliese modellering te kombineer, is die omvang, waarskynlikheid en diepte van die voorspelde vloedgebeurtenisse gemodelleer. Die studie het bevind dat, alhoewel vloedgevaarkartering met die beskikbare data moontlik is, daar nie genoeg data beskikbaar is om die model te kalibreer en te valideer nie. Tekortkominge van die bestaande data word bespreek en aanbevelings oor die verbetering van die bestaande data vir toepassings in vloedgevaarkartering word gemaak.

[pt] Esse trabalho tem como objetivo desenvolver um modelo determinístico transiente de previsão de escorregamentos planares em encostas, para escalas em nível de bacia hidrográfica (1:2000 a 1:5000). No modelo são aplicadas as teorias de Green-Ampt (1934) e de O Loughlin (1986), essa última utilizada no programa SHALSTAB (MONTGOMERY e DIETRICH, 1994), além da teoria talude infinito 2D e 3D. Também são considerados nas análises a não saturação do solo e os efeitos da vegetação. O evento estudado para aplicação e teste do modelo refere-se ao ocorrido em 1996, nas bacias do Quitite e Papagaio em Jacarepaguá, Zona Oeste do Rio de Janeiro. Além do mapeamento do fator de segurança nas bacias, também são gerados mapas com o escoamento superficial acumulado, e tenta-se correlacionar ambos com as cicatrizes que ocorreram no caso de estudo. / [en] The aim of this work is to develop a physically-based transient model for the prediction of planar landslides in natural slopes. The application scale of the model is for a hydrographic basin (1:2000 to 1:5000). The theories of Green-Ampt (1934) and O Loughlin (1986), the second one used in the SHALSTAB program (MONTGOMERY e DIETRICH, 1994), and the infinite slope 2D and 3D are used in the model. The effect of the unsaturation and the vegetation is also considered in the analysis. The case study for the test of the model is the 1996 event that took place in the Quitite and Papagaio basins, in Jacarepaguá, Zona Oeste of Rio de Janeiro. Besides mapping the safety factor in the basins, maps of the accumulated runoff were also generated. This work also tries to correlate the runoff as another factor that caused the landslides.

O aumento da ocorrência de desastres hidrológicos relacionados a inundações bruscas tem recebido maior atenção dos diversos órgãos em suas diferentes escalas, com o objetivo de reduzir ao máximo suas causas. Justamente por isso, as medidas não estruturais são medidas de extrema importância na prevenção de tais desastres. Uma dessas medidas deve ser o mapeamento de áreas de perigo de inundações. Portanto, o objetivo do presente trabalho foi propor e avaliar o perigo de inundações bruscas por meio de modelagem hidrogeomorfológica na bacia do arroio Forromeco-RS. Para isso, foi utilizado o modelo CAESAR-LISFLOOD, para representar os processos hidrológicos em escala de bacia e canal. Em escala de bacia foram gerados hidrogramas a partir da criação de chuvas de projeto para diferentes tempos de retorno (TR), considerando como base o maior evento registrado nessa bacia associado a um TR de 22 anos. Esses hidrogramas foram utilizados nas simulações em escala de canal para gerar os diferentes mapas de inundação em termos de profundidade e velocidade do fluxo da água. Para analisar as áreas de perigo de inundação, foram determinados os índices de perigo (IP) associados aos diferentes TR, a partir da profundidade e a velocidade d’água. Através das análises do resultado de IP foi criado o mapeamento final de perigo associado a três tempos de retorno (5, 22, e 100 anos). Além disso, estabeleceu-se três zonas para identificar os níveis de perigo, considerando o cenário mais crítico dos três mapas. Os resultados mostraram que a maior área inundada se encontra em alto perigo, ocupando 77% da área total, o que significa que as pessoas que moram nessa região estão em perigo tanto em casa, como fora delas. Ao mesmo tempo as construções estão em alta possiblidade de serem danificadas. / The increase in the occurrence of hydrological disasters related to flash floods has begun to be more important for several organs at different scales in order to reduce their magnitude and frequency as much as possible. Precisely because of it, non-structural measures are extremely important measures for preventing such disasters. One of these important measures might be the mapping of flood hazard areas. Therefore, the objective of the present work was to propose and evaluate the flash flood hazard by means of hydrogeomorphic modeling of the Forromeco river basin, Rio Grande do Sul state. Thus, the CAESAR-LISFLOOD model was used to represent the hydrological processes at basin and channel scale. At basin scale hydrographs were generated from the creation of hyetographs for different return periods (RP), considering the largest event recorded in this basin. These hydrographs were used in the channel scale simulations to generate the different flood maps in terms of depth and velocity of water flow. In order to analyze the flood hazard areas, the hazard indexes (HI) associated with the different RPs were determined from the depth and water velocity. Through the IP analysis, the final hazard mapping associated with three RPs (5, 22, and 100 years) was created. In addition, three zones were established to identify the hazard levels, considering the most critical scenario of the three maps. The results showed that the largest flood area is in high degree hazard, occupying 77% of the total area. It indicates that people are in danger both inside and outside houses. At the same time buildings are in high possibility of being damaged.

[néant] / [néant]

O aumento da ocorrência de desastres hidrológicos relacionados a inundações bruscas tem recebido maior atenção dos diversos órgãos em suas diferentes escalas, com o objetivo de reduzir ao máximo suas causas. Justamente por isso, as medidas não estruturais são medidas de extrema importância na prevenção de tais desastres. Uma dessas medidas deve ser o mapeamento de áreas de perigo de inundações. Portanto, o objetivo do presente trabalho foi propor e avaliar o perigo de inundações bruscas por meio de modelagem hidrogeomorfológica na bacia do arroio Forromeco-RS. Para isso, foi utilizado o modelo CAESAR-LISFLOOD, para representar os processos hidrológicos em escala de bacia e canal. Em escala de bacia foram gerados hidrogramas a partir da criação de chuvas de projeto para diferentes tempos de retorno (TR), considerando como base o maior evento registrado nessa bacia associado a um TR de 22 anos. Esses hidrogramas foram utilizados nas simulações em escala de canal para gerar os diferentes mapas de inundação em termos de profundidade e velocidade do fluxo da água. Para analisar as áreas de perigo de inundação, foram determinados os índices de perigo (IP) associados aos diferentes TR, a partir da profundidade e a velocidade d’água. Através das análises do resultado de IP foi criado o mapeamento final de perigo associado a três tempos de retorno (5, 22, e 100 anos). Além disso, estabeleceu-se três zonas para identificar os níveis de perigo, considerando o cenário mais crítico dos três mapas. Os resultados mostraram que a maior área inundada se encontra em alto perigo, ocupando 77% da área total, o que significa que as pessoas que moram nessa região estão em perigo tanto em casa, como fora delas. Ao mesmo tempo as construções estão em alta possiblidade de serem danificadas. / The increase in the occurrence of hydrological disasters related to flash floods has begun to be more important for several organs at different scales in order to reduce their magnitude and frequency as much as possible. Precisely because of it, non-structural measures are extremely important measures for preventing such disasters. One of these important measures might be the mapping of flood hazard areas. Therefore, the objective of the present work was to propose and evaluate the flash flood hazard by means of hydrogeomorphic modeling of the Forromeco river basin, Rio Grande do Sul state. Thus, the CAESAR-LISFLOOD model was used to represent the hydrological processes at basin and channel scale. At basin scale hydrographs were generated from the creation of hyetographs for different return periods (RP), considering the largest event recorded in this basin. These hydrographs were used in the channel scale simulations to generate the different flood maps in terms of depth and velocity of water flow. In order to analyze the flood hazard areas, the hazard indexes (HI) associated with the different RPs were determined from the depth and water velocity. Through the IP analysis, the final hazard mapping associated with three RPs (5, 22, and 100 years) was created. In addition, three zones were established to identify the hazard levels, considering the most critical scenario of the three maps. The results showed that the largest flood area is in high degree hazard, occupying 77% of the total area. It indicates that people are in danger both inside and outside houses. At the same time buildings are in high possibility of being damaged.

En Afrique de l'Ouest, la diminution brutale de la pluviométrie depuis les années 1970 s'est produite en concomitance avec une augmentation des dommages liés aux inondations. Si une accentuation de la vulnérabilité des populations est indéniable, la question d'une évolution de l'aléa pluviométrique en particulier des pluies les plus intenses reste posée - notamment dans un contexte où le réchauffement climatique devrait s'accompagner d'une intensification du cycle hydrologique globale. Cette thèse s'attache améliorer nos connaissances sur le régime de pluies extrêmes en Afrique de l'Ouest sous-documenté à l'heure actuelle dans les sciences du climat et de l'hydrologie opérationnelle. Le travail s'articule autour des trois objectifs: (i) fournir une vision régionale intégrée de l'organisation spatiale des extrêmes, (ii) étudier l'évolution du régime de précipitations extrêmes en lien avec la variabilité décennale des cumuls pluviométriques annuels, (iii) caractériser les extrêmes pluviométriques en produisant des cartes d'aléa pluviométrique et en étudiant les liens d'échelles entre les extrêmes de pluie à différents résolutions spatio-temporelles. On se base ici sur les données journalières des réseaux nationaux disponibles depuis les années 1950 sur l'Afrique de l'Ouest et actualisées sur le Sahel Central jusqu'en 2010; les données de précipitation à haute résolution disponibles depuis 1990 sur l'observatoire AMMA-CATCH Niger. Les modèles statistiques classiques issus de la théorie des valeurs extrêmes, ont été adaptés pour incorporer des covariables représentant des non-stationnarités spatiales et temporelles dans les pluies extrêmes. On montre la grande robustesse de ces modèles pour estimer les quantiles rares et détecter les tendances régionales dans les séries d'extrêmes. Le cadre théorique des fractales a été utilisé pour modéliser les relations d'échelles spatio-temporelles. On montre ainsi qu'une représentation de type "simple scaling" permet de décrire de manière très satisfaisante ces relations sur la gamme des pas de temps allant de 1 à 24 heures. Les résultats climatologiques confirment que la sécheresse de la fin du XXeme siècle a été avant tout associée à une baisse de l'occurrence des précipitations, leur intensité demeurant relativement inchangée. On note en revanche un comportement singulier sur la dernière décennie durant laquelle un déficit persistant d'occurrence est compensé par une intensification des précipitations qui explique un retour vers une meilleure pluviométrie annuelle, associée cependant à des extrêmes plus marqués et donc porteurs de risque hydrologique. / In West Africa, the sharp decrease of rainfall since the 70s has occurred concurrently with an increase of flood damage. If it is certain that the vulnerability of the population has increased, the question of the evolution of extreme rainfall remains unanswered - especially in a context where global warming should be accompanied by an intensification of the global water cycle. This thesis aims to improve our understanding of the extreme rainfall regime in West Africa. The work is based on three objectives: (i) provide an integrated regional vision of the spatial organization of extremes, (ii) study the evolution of extreme precipitation regime in connection with the decadal variability of annual rainfall (iii) characterize the extreme rainfall by producing rainfall hazard maps and IDAF (Intensity-Duration-Area-Frequency) curves. In this work, two datasets are used: (i) daily data from national networks, available since 1950 on West Africa, have been updated on the Central Sahel until 2010; (ii) precipitation data with high resolution available since 1990 from the AMMA-CATCH Niger observatory. Conventional statistical models from the extreme value theory has been adapted to incorporate covariates in order to represent spatial and temporal non-stationarity in extreme rainfall. These models show a high robustness to estimate the high quantiles and detect regional trends in the extreme series. The theoretical framework of fractals has been used to model the relationships of spatial and temporal scales. Climatological results confirm that the drought of the late 20th century was primarily associated with a decrease in the occurrence of rainfall, intensity remained relatively unchanged. We note, however, a singular behavior in the last decade: a persistent deficit of occurrence of rainfall is compensated by higher intensities which explains a return to better annual rainfall associated with more extreme rainfall.

O aumento da ocorrência de desastres hidrológicos relacionados a inundações bruscas tem recebido maior atenção dos diversos órgãos em suas diferentes escalas, com o objetivo de reduzir ao máximo suas causas. Justamente por isso, as medidas não estruturais são medidas de extrema importância na prevenção de tais desastres. Uma dessas medidas deve ser o mapeamento de áreas de perigo de inundações. Portanto, o objetivo do presente trabalho foi propor e avaliar o perigo de inundações bruscas por meio de modelagem hidrogeomorfológica na bacia do arroio Forromeco-RS. Para isso, foi utilizado o modelo CAESAR-LISFLOOD, para representar os processos hidrológicos em escala de bacia e canal. Em escala de bacia foram gerados hidrogramas a partir da criação de chuvas de projeto para diferentes tempos de retorno (TR), considerando como base o maior evento registrado nessa bacia associado a um TR de 22 anos. Esses hidrogramas foram utilizados nas simulações em escala de canal para gerar os diferentes mapas de inundação em termos de profundidade e velocidade do fluxo da água. Para analisar as áreas de perigo de inundação, foram determinados os índices de perigo (IP) associados aos diferentes TR, a partir da profundidade e a velocidade d’água. Através das análises do resultado de IP foi criado o mapeamento final de perigo associado a três tempos de retorno (5, 22, e 100 anos). Além disso, estabeleceu-se três zonas para identificar os níveis de perigo, considerando o cenário mais crítico dos três mapas. Os resultados mostraram que a maior área inundada se encontra em alto perigo, ocupando 77% da área total, o que significa que as pessoas que moram nessa região estão em perigo tanto em casa, como fora delas. Ao mesmo tempo as construções estão em alta possiblidade de serem danificadas. / The increase in the occurrence of hydrological disasters related to flash floods has begun to be more important for several organs at different scales in order to reduce their magnitude and frequency as much as possible. Precisely because of it, non-structural measures are extremely important measures for preventing such disasters. One of these important measures might be the mapping of flood hazard areas. Therefore, the objective of the present work was to propose and evaluate the flash flood hazard by means of hydrogeomorphic modeling of the Forromeco river basin, Rio Grande do Sul state. Thus, the CAESAR-LISFLOOD model was used to represent the hydrological processes at basin and channel scale. At basin scale hydrographs were generated from the creation of hyetographs for different return periods (RP), considering the largest event recorded in this basin. These hydrographs were used in the channel scale simulations to generate the different flood maps in terms of depth and velocity of water flow. In order to analyze the flood hazard areas, the hazard indexes (HI) associated with the different RPs were determined from the depth and water velocity. Through the IP analysis, the final hazard mapping associated with three RPs (5, 22, and 100 years) was created. In addition, three zones were established to identify the hazard levels, considering the most critical scenario of the three maps. The results showed that the largest flood area is in high degree hazard, occupying 77% of the total area. It indicates that people are in danger both inside and outside houses. At the same time buildings are in high possibility of being damaged.

Landslide susceptibility maps are useful for spatial decision-making to minimize the lossof lives and properties. There are many studies related to the development of landslidesusceptibility maps using various methods such as Analytic Hierarchy Process, Weight ofEvidence and Logistic Regression. Commonly, the geospatial data required for such analysis(such as land cover and soil type maps) are only locally available and pertinent to smallcase studies. Transferable and scalable approaches utilizing publicly available, large scaledatasets (ie., global or continental) are necessary to develop susceptibility maps in areaswhere local data is not available or when large-scale analysis is required. To develop suchapproaches, a systematic comparison between locally available, fine resolution, and largerscale, openly available but coarser resolution datasets is essential. The objective of this study isto investigate the efficiency of globally available public data for landslide susceptibility mappingby comparing it with the performance of the data provided from local institutions. For this purpose, the Göta river valley in Sweden and the country of Rwanda were selectedas study areas. Göta river valley was used for the comparison of local and open data.While Rwanda was used as a study area to ensure the efficiency of open data analysis andtransferability of the framework. The selected landslide impact factors for this study are;elevation, slope, soil type, land cover, precipitation, lithology, distance to roads, and distanceto drainage network. Landslide susceptibility maps were prepared by using the state-of-the-artFrequency Ratio method. The validation results using the prediction rate curve technique show92.9%, 90.2%, and 83.1% area under curve values for local and open data analyses of Göta rivervalley and open data analysis of Rwanda country, respectively. The results show that globallyavailable open data demonstrate strong potential for landslide susceptibility mapping whenhigh-resolution local data are not available.