Base de dados : MEDLINE
Pesquisa : G01.311.603 [Categoria DeCS]
Referências encontradas : 97 [refinar]
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[PMID]:29304149
[Au] Autor:Tzeng HY; Wang W; Tseng YH; Chiu CA; Kuo CC; Tsai ST
[Ad] Endereço:Department of Forestry, National Chung Hsing University, Taichung, Taiwan.
[Ti] Título:Tree mortality in response to typhoon-induced floods and mudslides is determined by tree species, size, and position in a riparian Formosan gum forest in subtropical Taiwan.
[So] Source:PLoS One;13(1):e0190832, 2018.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Global warming-induced extreme climatic changes have increased the frequency of severe typhoons bringing heavy rains; this has considerably affected the stability of the forest ecosystems. Since the Taiwan 921 earthquake occurred in 21 September 1999, the mountain geology of the Island of Taiwan has become unstable and typhoon-induced floods and mudslides have changed the topography and geomorphology of the area; this has further affected the stability and functions of the riparian ecosystem. In this study, the vegetation of the unique Aowanda Formosan gum forest in Central Taiwan was monitored for 3 years after the occurrence of floods and mudslides during 2009-2011. Tree growth and survival, effects of floods and mudslides, and factors influencing tree survival were investigated. We hypothesized that (1) the effects of floods on the survival are significantly different for each tree species; (2) tree diameter at breast height (DBH) affects tree survival-i.e., the larger the DBH, the higher the survival rate; and (3) the relative position of trees affects tree survival after disturbances by floods and mudslides-the farther trees are from the river, the higher is their survival rate. Our results showed that after floods and mudslides, the lifespans of the major tree species varied significantly. Liquidambar formosana displayed the highest flood tolerance, and the trunks of Lagerstoemia subcostata began rooting after disturbances. Multiple regression analysis indicated that factors such as species, DBH, distance from sampled tree to the above boundary of sample plot (far from the riverbank), and distance from the upstream of the river affected the lifespans of trees; the three factors affected each tree species to different degrees. Furthermore, we showed that insect infestation had a critical role in determining tree survival rate. Our 3-year monitoring investigation revealed that severe typhoon-induced floods and mudslides disturbed the riparian vegetation in the Formosan gum forest, replacing the original vegetation and beginning secondary succession. Moreover, flooding provided new habitats for various plants to establish their progeny. By using our results, lifecycles of trees (including death) can be understood in detail, facilitating riparian vegetation engineering in forests severely disturbed by typhoon-induced floods and mudslides.
[Mh] Termos MeSH primário: Tempestades Ciclônicas
Inundações
Deslizamentos de Terra
Árvores
[Mh] Termos MeSH secundário: Ecossistema
Taiwan
Árvores/crescimento & desenvolvimento
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1802
[Cu] Atualização por classe:180223
[Lr] Data última revisão:
180223
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180106
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0190832


  2 / 97 MEDLINE  
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[PMID]:28803376
[Au] Autor:Chen CY; Wang Q
[Ad] Endereço:Department of Civil and Water Resources Engineering, National Chiayi University, Chiayi, Taiwan. chienyuc@mail.ncyu.edu.tw.
[Ti] Título:Debris flow-induced topographic changes: effects of recurrent debris flow initiation.
[So] Source:Environ Monit Assess;189(9):449, 2017 Aug 12.
[Is] ISSN:1573-2959
[Cp] País de publicação:Netherlands
[La] Idioma:eng
[Ab] Resumo:Chushui Creek in Shengmu Village, Nantou County, Taiwan, was analyzed for recurrent debris flow using numerical modeling and geographic information system (GIS) spatial analysis. The two-dimensional water flood and mudflow simulation program FLO-2D were used to simulate debris flow induced by rainfall during typhoon Herb in 1996 and Mindulle in 2004. Changes in topographic characteristics after the debris flows were simulated for the initiation of hydrological characteristics, magnitude, and affected area. Changes in topographic characteristics included those in elevation, slope, aspect, stream power index (SPI), topographic wetness index (TWI), and hypsometric curve integral (HI), all of which were analyzed using GIS spatial analysis. The results show that the SPI and peak discharge in the basin increased after a recurrence of debris flow. The TWI was higher in 2003 than in 2004 and indicated higher potential of landslide initiation when the slope of the basin was steeper. The HI revealed that the basin was in its mature stage and was shifting toward the old stage. Numerical simulation demonstrated that the parameters' mean depth, maximum depth, affected area, mean flow rate, maximum flow rate, and peak flow discharge were increased after recurrent debris flow, and peak discharge occurred quickly.
[Mh] Termos MeSH primário: Monitoramento Ambiental
Rios/química
Movimentos da Água
Poluentes da Água/análise
[Mh] Termos MeSH secundário: Sistemas de Informação Geográfica
Hidrologia
Deslizamentos de Terra
Taiwan
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
0 (Water Pollutants)
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171020
[Lr] Data última revisão:
171020
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170814
[St] Status:MEDLINE
[do] DOI:10.1007/s10661-017-6169-y


  3 / 97 MEDLINE  
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[PMID]:28343360
[Au] Autor:Tan WK; Teh SY; Koh HL
[Ad] Endereço:School of Mathematical Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia.
[Ti] Título:Tsunami run-up and inundation along the coast of Sabah and Sarawak, Malaysia due to a potential Brunei submarine mass failure.
[So] Source:Environ Sci Pollut Res Int;24(19):15976-15994, 2017 Jul.
[Is] ISSN:1614-7499
[Cp] País de publicação:Germany
[La] Idioma:eng
[Ab] Resumo:Submarine landslides, also known as submarine mass failures (SMFs), are major natural marine disasters that could critically damage coastal facilities such as nuclear power plants and oil and gas platforms. It is therefore essential to investigate submarine landslides for potential tsunami hazard assessment. Three-dimensional seismic data from offshore Brunei have revealed a giant seabed mass deposited by a previous SMF. The submarine mass extends over 120 km from the continental slope of the Baram Canyon at 200 m water depth to the deep basin floor of the Northwest Borneo Trough. A suite of in-house two-dimensional depth-averaged tsunami simulation model TUNA (Tsunami-tracking Utilities and Application) is developed to assess the vulnerability of coastal communities in Sabah and Sarawak subject to potential SMF tsunami. The submarine slide is modeled as a rigid body moving along a planar slope with the center of mass motion parallel to the planar slope and subject to external forces due to added mass, gravity, and dissipation. The nonlinear shallow water equations are utilized to simulate tsunami propagation from deepwater up to the shallow offshore areas. A wetting-drying algorithm is used when a tsunami wave reaches the shoreline to compute run up of tsunami along the shoreline. Run-up wave height and inundation maps are provided for seven densely populated locations in Sabah and Sarawak to highlight potential risks at each location, subject to two scenarios of slide slopes: 2° and 4°. The first wave may arrive at Kudat as early as 0.4 h after the SMF, giving local communities little time to evacuate. Over a small area, maximum inundated depths reaching 20.3 m at Kudat, 26.1 m at Kota Kinabalu, and 15.5 m at Miri are projected, while the maximum inundation distance of 4.86 km is expected at Miri due to its low-lying coast. In view of the vulnerability of some locations to the SMF tsunami, it is important to develop and implement community resilience program to reduce the potential damage that could be inflicted by SMF tsunamis.
[Mh] Termos MeSH primário: Desastres
Deslizamentos de Terra
Tsunamis
[Mh] Termos MeSH secundário: Brunei
Malásia
Centrais Elétricas
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1711
[Cu] Atualização por classe:171106
[Lr] Data última revisão:
171106
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170327
[St] Status:MEDLINE
[do] DOI:10.1007/s11356-017-8698-x


  4 / 97 MEDLINE  
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[PMID]:28230810
[Au] Autor:Lin Q; Wang Y; Liu T; Zhu Y; Sui Q
[Ad] Endereço:Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing 100875, China. linqigen@mail.bnu.edu.cn.
[Ti] Título:The Vulnerability of People to Landslides: A Case Study on the Relationship between the Casualties and Volume of Landslides in China.
[So] Source:Int J Environ Res Public Health;14(2), 2017 Feb 21.
[Is] ISSN:1660-4601
[Cp] País de publicação:Switzerland
[La] Idioma:eng
[Ab] Resumo:The lack of a detailed landslide inventory makes research on the vulnerability of people to landslides highly limited. In this paper, the authors collect information on the landslides that have caused casualties in China, and established the . 100 landslide cases from 2003 to 2012 were utilized to develop an empirical relationship between the volume of a landslide event and the casualties caused by the occurrence of the event. The error bars were used to describe the uncertainty of casualties resulting from landslides and to establish a threshold curve of casualties caused by landslides in China. The threshold curve was then applied to the landslide cases occurred in 2013 and 2014. The validation results show that the estimated casualties of the threshold curve were in good agreement with the real casualties with a small deviation. Therefore, the threshold curve can be used for estimating potential casualties and landslide vulnerability, which is meaningful for emergency rescue operations after landslides occurred and for risk assessment research.
[Mh] Termos MeSH primário: Deslizamentos de Terra/mortalidade
Deslizamentos de Terra/estatística & dados numéricos
[Mh] Termos MeSH secundário: China/epidemiologia
Seres Humanos
Medição de Risco
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1706
[Cu] Atualização por classe:170627
[Lr] Data última revisão:
170627
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170224
[St] Status:MEDLINE


  5 / 97 MEDLINE  
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[PMID]:28220443
[Au] Autor:Ströberg A; Ebert K; Jarsjö J; Frampton A
[Ad] Endereço:Department of Physical Geography, Stockholm University, S-10691, Stockholm, Sweden. a.stroberg@gmail.com.
[Ti] Título:Contaminated area instability along Ångermanälven River, northern Sweden.
[So] Source:Environ Monit Assess;189(3):118, 2017 Mar.
[Is] ISSN:1573-2959
[Cp] País de publicação:Netherlands
[La] Idioma:eng
[Ab] Resumo:Industrially utilized river basins are frequently exposed to contaminants originating from polluting activities. However, the physical instability and probability of mass movement mobilization of contaminated soil into rivers have only received little attention. In this study, we present a GIS-based method to produce a regional overview of where and how contaminated areas are potentially exposed to slope instability. A landslide susceptibility-index was used to study the degree and distribution of overlap between contaminated sites and unstable ground. A contaminated area instability hazard classification was produced integrating slope instability and contamination risk classification. Our results indicate that mass movement can be tied mainly to a slope gradient ≥16°, a proximity to the river that is <500 m, a distance of <500 m from roads, concave surface curvature, and sand- and silt soils. Forty-six (22%) of all considered contaminated sites are located within areas with a non-negligible slope instability, of which a majority, 30 sites (14%) are situated on ground with a low or moderate instability. Three sites with a class 2 contamination risk (the 2nd highest class) are located on ground with a very high slope instability.
[Mh] Termos MeSH primário: Monitoramento Ambiental/métodos
Poluição Ambiental/análise
Poluentes do Solo/análise
[Mh] Termos MeSH secundário: Deslizamentos de Terra
Rios
Solo
Suécia
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
0 (Soil); 0 (Soil Pollutants)
[Em] Mês de entrada:1704
[Cu] Atualização por classe:171116
[Lr] Data última revisão:
171116
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170222
[St] Status:MEDLINE
[do] DOI:10.1007/s10661-017-5839-0


  6 / 97 MEDLINE  
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[PMID]:27802791
[Au] Autor:Roveri M; Trovò F
[Ad] Endereço:1 Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, piazza L. da Vinci 32, Milano, 20133, Italy.
[Ti] Título:An Ensemble Approach for Cognitive Fault Detection and Isolation in Sensor Networks.
[So] Source:Int J Neural Syst;27(3):1650047, 2017 May.
[Is] ISSN:0129-0657
[Cp] País de publicação:Singapore
[La] Idioma:eng
[Ab] Resumo:Cognitive fault detection and diagnosis systems are systems able to provide timely information about possibly occurring faults without requiring any a priori knowledge about the process generating the data or the possible faults. This ability is crucial in sensor network scenarios where a priori information about the data generating process, the noise level or the dictionary of the possibly occurring faults is generally hard to obtain. We here present a novel cognitive fault detection and isolation system for sensor networks. The proposed solution relies on the modeling of spatial and temporal relationships present in the acquired datastreams and an ensemble of Hidden Markov Model change-detection tests working in the space of estimated parameters for fault detection and isolation purposes. The effectiveness of the proposed solution has been evaluated on both synthetically generated and real datasets.
[Mh] Termos MeSH primário: Redes Neurais (Computação)
[Mh] Termos MeSH secundário: Algoritmos
Cognição
Simulação por Computador
Conjuntos de Dados como Assunto
Itália
Deslizamentos de Terra
Cadeias de Markov
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1703
[Cu] Atualização por classe:170306
[Lr] Data última revisão:
170306
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:161103
[St] Status:MEDLINE
[do] DOI:10.1142/S0129065716500477


  7 / 97 MEDLINE  
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[PMID]:27605227
[Au] Autor:Lin CY; Fu KL; Lin CY
[Ad] Endereço:Department of Soil and Water Conservation, National Chung Hsing University, 250, Kuo-Kuang Rd., Taichung, 40227, Taiwan, ROC.
[Ti] Título:Optimal Subdivision for Treatment and Management of Catastrophic Landslides in a Watershed Using Topographic Factors.
[So] Source:Environ Manage;58(5):833-842, 2016 Nov.
[Is] ISSN:1432-1009
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Recent extreme rainfall events led to many landslides due to climate changes in Taiwan. How to effectively promote post-disaster treatment and/or management works in a watershed/drainage basin is a crucial issue. Regarding the processes of watershed treatment and/or management works, disaster hotspot scanning and treatment priority setup should be carried out in advance. A scanning method using landslide ratio to determine the appropriate outlet of an interested watershed, and an optimal subdivision system with better homogeneity and accuracy in landslide ratio estimation were developed to help efficient executions of treatment and/or management works. Topography is a key factor affecting watershed landslide ratio. Considering the complexity and uncertainty of the natural phenomenon, multivariate analysis was applied to understand the relationship between topographic factors and landslide ratio in the interested watershed. The concept of species-area curve, which is usually adopted at on-site vegetation investigation to determinate the suitable quadrate size, was used to derive the optimal threshold in subdivisions. Results show that three main component axes including factors of scale, network and shape extracted from Digital Terrain Model coupled with areas of landslide can effectively explain the characteristics of landslide ratio in the interested watershed, and a relation curve obtained from the accuracy of landslide ratio classification and number of subdivisions could be established to derive optimal subdivision of the watershed. The subdivision method promoted in this study could be further used for priority rank and benefit assessment of landslide treatment in a watershed.
[Mh] Termos MeSH primário: Conservação dos Recursos Naturais/métodos
Desastres
Monitoramento Ambiental/métodos
Deslizamentos de Terra
Rios
[Mh] Termos MeSH secundário: Mudança Climática
Fenômenos Geológicos
Modelos Teóricos
Análise Multivariada
Taiwan
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1708
[Cu] Atualização por classe:170926
[Lr] Data última revisão:
170926
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160909
[St] Status:MEDLINE


  8 / 97 MEDLINE  
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[PMID]:27605117
[Au] Autor:De Stefano M; Gharabaghi B; Clemmer R; Jahanfar MA
[Ad] Endereço:School of Engineering, University of Guelph, Guelph, ON, Canada.
[Ti] Título:Berm design to reduce risks of catastrophic slope failures at solid waste disposal sites.
[So] Source:Waste Manag Res;34(11):1117-1125, 2016 Nov.
[Is] ISSN:1096-3669
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:Existing waste disposal sites are being strained by exceeding their volumetric capacities because of exponentially increasing rates of municipal solid waste generation worldwide, especially in densely populated metropolises. Over the past 40 years, six well-documented and analyzed disposal sites experienced catastrophic failure. This research presents a novel analysis and design method for implementation of a series of in-situ earth berms to slow down the movement of waste material flow following a catastrophic failure. This is the first study of its kind that employs a dynamic landslide analysis model, DAN-W, and the Voellmy rheological model to approximate solid waste avalanche flow. A variety of single and multiple berm configuration scenarios were developed and tested to find an optimum configuration of the various earth berm geometries and number of berms to achieve desired energy dissipation and reduction in total waste material runout length. The case study application of the novel mitigation measure shows that by constructing a series of six relatively inexpensive 3 m high earth berms at an optimum distance of 250 m from the slope toe, the total runout length of 1000 m and associated fatalities of the Leuwigajah dumpsite catastrophic failure in Bandung, Indonesia, could have been reduced by half.
[Mh] Termos MeSH primário: Modelos Teóricos
Eliminação de Resíduos/métodos
Instalações de Eliminação de Resíduos
[Mh] Termos MeSH secundário: Indonésia
Deslizamentos de Terra
Reologia/métodos
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1704
[Cu] Atualização por classe:170406
[Lr] Data última revisão:
170406
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160909
[St] Status:MEDLINE


  9 / 97 MEDLINE  
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[PMID]:27358998
[Au] Autor:Pineda MC; Viloria J; Martínez-Casasnovas JA
[Ti] Título:Landslides susceptibility change over time according to terrain conditions in a mountain area of the tropic region.
[So] Source:Environ Monit Assess;188(4):255, 2016 Apr.
[Is] ISSN:1573-2959
[Cp] País de publicação:Netherlands
[La] Idioma:eng
[Ab] Resumo:Susceptibility to landslides in mountain areas results from the interaction of various factors related to relief formation and soil development. The assessment of landslide susceptibility has generally taken into account individual events, or it has been aimed at establishing relationships between landslide-inventory maps and maps of environmental factors, without considering that such relationships can change in space and time. In this work, temporal and space changes in landslides were analysed in six different combinations of date and geomorphological conditions, including two different geological units, in a mountainous area in the north-centre of Venezuela, in northern South America. Landslide inventories from different years were compared with a number of environmental factors by means of logistic regression analysis. The resulting equations predicted landslide susceptibility from a range of geomorphometric parameters and a vegetation index, with diverse accuracy, in the study area. The variation of the obtained models and their prediction accuracy between geological units and dates suggests that the complexity of the landslide processes and their explanatory factors changed over space and time in the studied area. This calls into question the use of a single model to evaluate landslide susceptibility over large regions.
[Mh] Termos MeSH primário: Monitoramento Ambiental
Deslizamentos de Terra/estatística & dados numéricos
[Mh] Termos MeSH secundário: Clima
Geologia
Solo
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Nm] Nome de substância:
0 (Soil)
[Em] Mês de entrada:1607
[Cu] Atualização por classe:171116
[Lr] Data última revisão:
171116
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160701
[St] Status:MEDLINE


  10 / 97 MEDLINE  
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[PMID]:27187430
[Au] Autor:Yu X; Wang Y; Niu R; Hu Y
[Ad] Endereço:Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China. yuxianyu1987@126.com.
[Ti] Título:A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China.
[So] Source:Int J Environ Res Public Health;13(5), 2016 05 11.
[Is] ISSN:1660-4601
[Cp] País de publicação:Switzerland
[La] Idioma:eng
[Ab] Resumo:In this study, a novel coupling model for landslide susceptibility mapping is presented. In practice, environmental factors may have different impacts at a local scale in study areas. To provide better predictions, a geographically weighted regression (GWR) technique is firstly used in our method to segment study areas into a series of prediction regions with appropriate sizes. Meanwhile, a support vector machine (SVM) classifier is exploited in each prediction region for landslide susceptibility mapping. To further improve the prediction performance, the particle swarm optimization (PSO) algorithm is used in the prediction regions to obtain optimal parameters for the SVM classifier. To evaluate the prediction performance of our model, several SVM-based prediction models are utilized for comparison on a study area of the Wanzhou district in the Three Gorges Reservoir. Experimental results, based on three objective quantitative measures and visual qualitative evaluation, indicate that our model can achieve better prediction accuracies and is more effective for landslide susceptibility mapping. For instance, our model can achieve an overall prediction accuracy of 91.10%, which is 7.8%-19.1% higher than the traditional SVM-based models. In addition, the obtained landslide susceptibility map by our model can demonstrate an intensive correlation between the classified very high-susceptibility zone and the previously investigated landslides.
[Mh] Termos MeSH primário: Deslizamentos de Terra
Modelos Teóricos
[Mh] Termos MeSH secundário: Algoritmos
China
Previsões
Regressão Espacial
Máquina de Vetores de Suporte
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1707
[Cu] Atualização por classe:171125
[Lr] Data última revisão:
171125
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160518
[St] Status:MEDLINE



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