Variation of precipitation concentration from 1960 to 2014 in the Middle and Lower reaches of the Yangtze River Basin, China

Zhao, Lianfeng; Wang, J. M.; Zhao, Zhe; Fang, Jian

doi:10.18172/cig.2930

Cited by 5 publications

(4 citation statements)

References 31 publications

(33 reference statements)

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“…Such indices include the modified Fournier index (MFI), precipitation concentration index (PCI), precipitation concentration index (PCD), precipitation concentration period (PCP), etc. [31]. Zhao et al pointed out that PCD and PCP [32] were more suitable for representing the concentration, barycentre date of precipitation, and are promising for characterizing intra-annual variations of other time series variables.…”

Section: Introductionmentioning

confidence: 99%

Detection of Seasonal Deformation of Highway Overpasses Using the PS-InSAR Technique: A Case Study in Beijing Urban Area

Lyu

et al. 2020

Remote Sensing

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In urban areas, deformation of transportation infrastructures may lead to serious safety accidents. Timely and accurate monitoring of the structural deformation is critical for prevention of transportation accidents and assurance of construction quality, particularly in areas with regional land subsidence, such as the city of Beijing. In this study, we proposed a method for the detection of seasonal deformation of highway overpasses using the integration of persistent scatterers Interferometric Synthetic Aperture Radar (PS-InSAR) techniques and seasonal indices, i.e., deformation concentration degree (DCD) and deformation concentration period (DCP) indices. Taking eastern Beijing urban area as a case study area, we first used the PS-InSAR technique to derive time series surface deformation based on 55 TerraSAR-X images during 2010–2016. Then, we proposed DCD and DCP indices to characterize seasonal deformation of 25 highway overpasses in the study area, with DCD representing to what degree the annual deformation is distributed in a year, and DCP representing the period on which deformation concentrates in the year. Our results showed that the maximum annual deformation rate reached −141.3 mm/year in Beijing urban area, and the PS-InSAR measurements agreed well with levelling measurements (R2 > 0.97). For PS pixels with DCD ≥ 0.3, the monthly deformation showed obvious seasonal patterns with deformation values during some months greater than those during the other months. DCP revealed that the settlement during autumn and winter was more serious than that in spring and summer. The seasonal patterns seemed to be related to the location, structure, and construction age of the overpasses. The upper-level overpasses, the newly constructed overpasses, and those located in the subsidence area (rate < −40 mm/year) tended to show a greater seasonal pattern. The seasonal deformation variations were also affected by groundwater-level fluctuation, temperature, and compressible layer.

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Section: Introductionmentioning

confidence: 99%

Detection of Seasonal Deformation of Highway Overpasses Using the PS-InSAR Technique: A Case Study in Beijing Urban Area

Lyu

et al. 2020

Remote Sensing

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“…Estes estudos, em geral, são baseados nas séries de máximas anuais de chuva, que não caracterizam a variabilidade temporal e também não levam em consideração a concentração das chuvas em determinados períodos do ano. Zhao et al (2016) afirmam que a concentração da precipitação, no espaço e tempo, é muito sensível às mudanças climáticas e pode induzir a ocorrência de fenômenos climáticos extremos mais frequentes. A distribuição desigual da precipitação pode causar enchentes ou secas, erosão do solo e outros desastres relacionados, que afetam a agricultura, produção de pastagens e florestas.…”

Section: Introductionunclassified

Índice de Concentração de chuva diária de Timbé do Sul, Santa Catarina

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2022

CIVILTEC

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A concentração de chuva em alguns períodos pode indicar maior risco de ocorrência de eventos como erosão, inundação e escorregamentos de encostas. O índice de Concentração de chuvas diárias tem sido empregado para avaliar a concentração da precipitação diária e também como indicador da erosividade e agressividade das chuvas. O objetivo deste trabalho foi determinar o Índice de concentração de chuvas para a região de Timbé do Sul, Santa Catarina. Foram utilizados os dados diários de precipitação do período de 1977 a 2020 da estação pluviométrica da Agência Nacional de Águas e Saneamento Básico, localizada no município de Timbé do Sul, Santa Catarina. Foram calculados os valores do índice de Concentração (IC) e a precipitação dos 25% (PP25) dos dias mais chuvosos, considerando a série total e também por trimestre e para cada mês. Os resultados mostraram que o IC anual é de 0,545, classificado com média concentração. Os 25% dos dias mais chuvosos representam 62% da precipitação total anual. Não foram observadas variações sazonais importantes nestes índices, concluindo-se que a precipitação da região tem homogeneidade sazonal na concentração

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“…Contributing to literature on climate change, global warming and ENSO, Zhao et al . (2016) carried out CI and Precipitation Concentration Degree (PCD) based analyses on rainfall in the Yangtze River Basin, China. The authors observed that in most results, the coefficient was less than 0.3, indicating overall weak positive correlations between El Niño Oscillation Index and CI.…”

Section: Introductionmentioning

confidence: 99%

Spatial concentration and variability of rainfall in the Iguaçu River Basin, State of Paraná−Brazil

Andrade

Nery

Toledo

2022

Singap J Trop Geogr

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The analysis of rainfall as an environmental factor that influences landscape dynamics is an important and ongoing topic of discussion. This discussion can be centred on the discovery of impacts caused by the increase or decrease in rainfall frequency and intensity. From this perspective, this study sought to analyse the rainfall variability in the Iguaçu River basin, located in the State of Paran a, southern Brazil. The main objective was focused on the temporal-spatial rainfall distribution in the study area and its interaction with landscape dynamics (different land uses). Precipitation data for the period 1988À2018 were obtained from the ' Águas Paran a' Institute. To calculate the Concentration IndexÀCI values of the study area, data analysis was performed using the 'R' software with Climatol and Precindicon subroutines of the software, and analysis of Landsat 8 satellite images through ArcGIS. The results indicated that there was a well-defined spatial variability in the study area, as the CIs defined higher rainfall concentrations upstream from the river basin and lower rainfall concentrations downstream-implying that these processes may be strongly associated with land use.

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Variation of precipitation concentration from 1960 to 2014 in the Middle and Lower reaches of the Yangtze River Basin, China

Cited by 5 publications

References 31 publications

Detection of Seasonal Deformation of Highway Overpasses Using the PS-InSAR Technique: A Case Study in Beijing Urban Area

Detection of Seasonal Deformation of Highway Overpasses Using the PS-InSAR Technique: A Case Study in Beijing Urban Area

Índice de Concentração de chuva diária de Timbé do Sul, Santa Catarina

Spatial concentration and variability of rainfall in the Iguaçu River Basin, State of Paraná−Brazil

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