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1

Yoo, Chul-Sang, and Cheol-Soon Park. "Comparison of Annual Maximum Rainfall Series and Annual Maximum Independent Rainfall Event Series." Journal of Korea Water Resources Association 45, no. 5 (2012): 431–44. http://dx.doi.org/10.3741/jkwra.2012.45.5.431.

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Kim, Tae-Woong. "Comparison of Design Rainfalls From the Annual Maximum and the Non-annual Exceedance Series." Journal of the Korean Society of Civil Engineers 34, no. 2 (2014): 469. http://dx.doi.org/10.12652/ksce.2014.34.2.0469.

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McCuen, Richard H., and Kathleen E. Galloway. "Record Length Requirements for Annual Maximum Flood Series." Journal of Hydrologic Engineering 15, no. 9 (2010): 704–7. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000223.

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Tiwari, Harinarayan, Subash Pd Rai, Nayan Sharma, and Dheeraj Kumar. "Computational approaches for annual maximum river flow series." Ain Shams Engineering Journal 8, no. 1 (2017): 51–58. http://dx.doi.org/10.1016/j.asej.2015.07.016.

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Sobey, Rodney J., and Leah S. Orloff. "Triple annual maximum series in wave climate analyses." Coastal Engineering 26, no. 3-4 (1995): 135–51. http://dx.doi.org/10.1016/0378-3839(95)00020-8.

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TANAKA, Shigenobu, and Kaoru TAKARA. "HYDROLOGIC FREQUENCY ANALYSIS WITH ANNUAL MAXIMUM SERIES AND PARTIAL DURATION SERIES." PROCEEDINGS OF HYDRAULIC ENGINEERING 43 (1999): 145–50. http://dx.doi.org/10.2208/prohe.43.145.

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Ng, Jing Lin, Soon Kim Tiang, Yuk Feng Huang, Nur Ilya Farhana Md Noh, and Ramez A. Al-Mansob. "Analysis of annual maximum and partial duration rainfall series." IOP Conference Series: Earth and Environmental Science 646, no. 1 (2021): 012039. http://dx.doi.org/10.1088/1755-1315/646/1/012039.

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Rosbjerg, D. "On the annual maximum distribution in dependent partial duration series." Stochastic Hydrology and Hydraulics 1, no. 1 (1987): 3–16. http://dx.doi.org/10.1007/bf01543906.

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Martins, Eduardo S., and Jery R. Stedinger. "Historical information in a generalized Maximum Likelihood Framework with partial duration and annual maximum series." Water Resources Research 37, no. 10 (2001): 2559–67. http://dx.doi.org/10.1029/2000wr000009.

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10

Chen, Xiaohong, Lijuan Zhang, C. Y. Xu, Jiaming Zhang, and Changqing Ye. "Hydrological Design of Nonstationary Flood Extremes and Durations in Wujiang River, South China: Changing Properties, Causes, and Impacts." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/527461.

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The flood-duration-frequency (QDF) analysis is performed using annual maximum streamflow series of 1–10 day durations observed at Pingshi and Lishi stations in southern China. The trends and change point of annual maximum flood flow and flood duration are also investigated by statistical tests. The results indicate that (1) the annual maximum flood flow only has a marginally increasing trend, whereas the flood duration exhibits a significant decreasing trend at the 0.10 significant level. The change point for the annual maximum flood flow series was found in 1991 and after which the mean maxim
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11

Tan, Xuezhi, and Thian Yew Gan. "Nonstationary Analysis of Annual Maximum Streamflow of Canada." Journal of Climate 28, no. 5 (2015): 1788–805. http://dx.doi.org/10.1175/jcli-d-14-00538.1.

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Abstract Both natural climate change and anthropogenic impacts may cause nonstationarities in hydrological extremes. In this study, long-term annual maximum streamflow (AMS) records from 145 stations over Canada were used to investigate the nonstationary characteristics of AMS, which include abrupt changes and monotonic temporal trends. The nonparameteric Pettitt test was applied to detect abrupt changes, while temporal monotonic trend analysis in AMS series was conducted using the nonparameteric Mann–Kendall and Spearman tests, as well as a parametric Pearson test. Nonstationary frequency ana
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12

Romanyuk, Romanyuk M. S., and O. I. Lukіanets. "ANALYSIS OF RECURRENCE OF RAIN FLOODS ON RIVERS IN THE TISZA BASIN (WITHIN UKRAINE)." Hydrology, hydrochemistry and hydroecology, no. 2(64) (2022): 22–29. http://dx.doi.org/10.17721/2306-5680.2022.2.2.

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Rain floods on the rivers in the Tisza basin within Ukraine are formed several times during the entire warm period. The purpose of the presented study is a detailed analysis of the frequency of such floods on the rivers of the region under study in terms of the series of annual maximum average daily water discharges and the series of maximum average daily discharges of partial probability. The first series, called the “multi-annual series”, includes only one of the highest discharges each year, in our case, one for the warm period – May-October. The second row includes all values hat exceed so
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13

Bărbulescu, Alina, and Dumitriu Cristian Ștefan. "On the Fractal Characteristics of Some Meteorological Extreme Series Recorded at Constanta, Romania." Ovidius University Annals of Constanta - Series Civil Engineering 23, no. 1 (2021): 77–82. http://dx.doi.org/10.2478/ouacsce-2021-0009.

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Abstract The study of hydro-meteorological series is important for planning agricultural activities, managing water resources, and taking measures to prevent the effects of natural hazards. Therefore, here we analyze the fractal characteristics of the temperature series recorded at Constanta, Romania. The studied series are the annual mean maximum annual and minimum annual temperatures recorded during 1961-2018.
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14

Park, Minkyu, Chulsang Yoo, Hyeonjun Kim, and Changhyun Jun. "Bivariate Frequency Analysis of Annual Maximum Rainfall Event Series in Seoul, Korea." Journal of Hydrologic Engineering 19, no. 6 (2014): 1080–88. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000891.

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15

Back, Álvaro J., Augusto C. Pola, Nilzo I. Ladwig, and Hugo Schwalm. "Erosive rainfall in the Rio do Peixe Valley: Part III - Risk of extreme events." Revista Brasileira de Engenharia Agrícola e Ambiental 22, no. 1 (2018): 63–68. http://dx.doi.org/10.1590/1807-1929/agriambi.v22n1p63-68.

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ABSTRACT Understanding the risks of extreme events related to soil erosion is important for adequate dimensioning of erosion and runoff control structures. The objective of this study was to determine the rainfall erosivity with different return periods for the Valley of the Rio do Peixe in Santa Catarina state, Brazil. Daily pluviographic data series from 1984 to 2014 from the Campos Novos, and Videira meteorological stations and from 1986 to 2014 from the Caçador station were used. The data series of maximum annual rainfall intensity in 30 min, maximum annual erosive rainfall, and total annu
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16

Jeneiová, Katarína, Silvia Kohnová, and Miroslav Sabo. "Detecting Trends in the Annual Maximum Discharges in the Vah River Basin, Slovakia." Acta Silvatica et Lignaria Hungarica 10, no. 2 (2014): 133–44. http://dx.doi.org/10.2478/aslh-2014-0010.

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Abstract A number of floods have been observed in the Slovak Republic in recent years, thereby raising awareness of and concern about flood risks. The paper focuses on the trend detection in the annual maximum discharge series in the Vah River basin located in Slovak Republic. Analysis was performed on data obtained from 59 gauging stations with minimum lengths of the observations from 40 years to 109 years. Homogeneity of the time series was tested by Alexandersson test for single shift at 5% level of significance. The Mann-Kendall trend test and its correction for autocorrelated data by Hame
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17

Wang, Wen, Xiao-Gang Wang, and Xuan Zhou. "Impacts of Californian dams on flow regime and maximum/minimum flow probability distribution." Hydrology Research 42, no. 4 (2011): 275–89. http://dx.doi.org/10.2166/nh.2011.137.

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Dams have major impacts on river hydrology with a general tendency to decrease annual maximum flows and increase annual minimum flows. The analysis of 41 streamflow series in California, USA are examined, and the results show that, as expected, the mean values and variations of annual peak flows and maximum flows of different durations are reduced for almost all sites after dam use, and the larger the ratio of total reservoir capacity to pre-dam annual runoff, the larger the rate of peak flow reduction. However, the impacts on minimum flow are mixed. For five out of seven cases with long data
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18

Arrieta-Pastrana, Alfonso, Manuel Saba, and Adriana Puello Alcázar. "Analysis of Climate Variability and Climate Change in Sub-Daily Maximum Intensities: A Case Study in Cartagena, Colombia." Atmosphere 14, no. 1 (2023): 146. http://dx.doi.org/10.3390/atmos14010146.

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The present work analyses a time series of maximum intensities for sub-daily durations of 10 min, 20 min, up to 100 min, and their relationship with the maximum rainfall observations in twenty-four hours (P24), the total annual rainfall (PT), and the maximum, average, and minimum temperatures, using the records of the Rafael Núñez Airport station in the city of Cartagena de Indias, recorded from 1970 to 2015. The series of maximum intensities were obtained from the pluviographic records existing in the station. The analysis seeks to find evidence of climate change and climate variability. The
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19

Nakaegawa, Tosiyuki, Takuro Kobashi, and Hirotaka Kamahori. "Characteristics of Extreme Value Statistics of Annual Maximum Monthly Precipitation in East Asia Calculated Using an Earth System Model of Intermediate Complexity." Atmosphere 11, no. 12 (2020): 1273. http://dx.doi.org/10.3390/atmos11121273.

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Extreme precipitation is no longer stationary under a changing climate due to the increase in greenhouse gas emissions. Nonstationarity must be considered when realistically estimating the amount of extreme precipitation for future prevention and mitigation. Extreme precipitation with a certain return level is usually estimated using extreme value analysis under a stationary climate assumption without evidence. In this study, the characteristics of extreme value statistics of annual maximum monthly precipitation in East Asia were evaluated using a nonstationary historical climate simulation wi
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20

Jiang, Shangwen, and Ling Kang. "Flood frequency analysis for annual maximum streamflow using a non-stationary GEV model." E3S Web of Conferences 79 (2019): 03022. http://dx.doi.org/10.1051/e3sconf/20197903022.

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Under changing environment, the streamflow series in the Yangtze River have undergone great changes and it has raised widespread concerns. In this study, the annual maximum flow (AMF) series at the Yichang station were used for flood frequency analysis, in which a time varying model was constructed to account for non-stationarity. The generalized extreme value (GEV) distribution was adopted to fit the AMF series, and the Generalized Additive Models for Location, Scale and Shape (GAMLSS) framework was applied for parameter estimation. The non-stationary return period and risk of failure were ca
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21

Jamali, Sadegh, Arsalan Ghorbanian, and Abdulhakim M. Abdi. "Satellite-Observed Spatial and Temporal Sea Surface Temperature Trends of the Baltic Sea between 1982 and 2021." Remote Sensing 15, no. 1 (2022): 102. http://dx.doi.org/10.3390/rs15010102.

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The Baltic Sea is one of the fastest-warming marginal seas globally, and its temperature rise has adversely affected its physical and biochemical characteristics. In this study, forty years (1982–2021) of sea surface temperature (SST) data from the advanced very high resolution radiometer (AVHRR) were used to investigate spatial and temporal SST variability of the Baltic Sea. To this end, annual maximum and minimum SST stacked series, i.e., time series of stacked layers of satellite data, were generated using high-quality observations acquired at night and were fed to an automatic algorithm to
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22

Zalina, M. D., M. N. M. Desa, V.-T.-A. Nguyen, and A. H. M. Kassim. "Selecting a probability distribution for extreme rainfall series in Malaysia." Water Science and Technology 45, no. 2 (2002): 63–68. http://dx.doi.org/10.2166/wst.2002.0028.

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This paper discusses the comparative assessment of eight candidate distributions in providing accurate and reliable maximum rainfall estimates for Malaysia. The models considered were the Gamma, Generalised Normal, Generalised Pareto, Generalised Extreme Value, Gumbel, Log Pearson Type III, Pearson Type III and Wakeby. Annual maximum rainfall series for one-hour resolution from a network of seventeen automatic gauging stations located throughout Peninsular Malaysia were selected for this study. The length of rainfall records varies from twenty-three to twenty-eight years. Model parameters were
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23

Ghenim, Abderrahmane Nekkache, and Abdesselam Megnounif. "Variability and Trend of Annual Maximum Daily Rainfall in Northern Algeria." International Journal of Geophysics 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/6820397.

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The daily rainfall dataset of 35 weather stations covering the north of Algeria was studied for a period up to 43 years, recorded after 1970s. The variability and trends in annual maximum daily rainfall (AMDR) time series and their contributions in annual rainfall (AR) were investigated. The analysis of the series was based on statistical characteristics, Burn’s seasonality procedure, Mann-Kendall test, and linear regression technique. The contribution of the AMDR to AR analysis was subjected to both the Buishand test and the double mass curve technique. The AMDR characteristics reveal a stron
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24

Zhao, Xue Hua, and Li Li An. "Periodic Change of River Runoff Based on EMD-MES." Advanced Materials Research 250-253 (May 2011): 2848–51. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.2848.

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This paper discusses stabilizing treatment of runoff time series by empirical mode decomposition (EMD), and periodic analysis of stabilized runoff time series by maximum entropy spectrum, and presents high-resolution character of maximum entropy spectrum and its application prospect in hydrology. It conducts the analysis and calculation in combination with a real example of annual runoff series at the Lanzhou station in the upper of Yellow River, and study proves that annual runoff has 11.1, 6.25 and 3.1 years significant periods at the Lanzhou station. The conclusion illustrates the feasibili
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25

Westra, Seth, Lisa V. Alexander, and Francis W. Zwiers. "Global Increasing Trends in Annual Maximum Daily Precipitation." Journal of Climate 26, no. 11 (2013): 3904–18. http://dx.doi.org/10.1175/jcli-d-12-00502.1.

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Abstract This study investigates the presence of trends in annual maximum daily precipitation time series obtained from a global dataset of 8326 high-quality land-based observing stations with more than 30 years of record over the period from 1900 to 2009. Two complementary statistical techniques were adopted to evaluate the possible nonstationary behavior of these precipitation data. The first was a Mann–Kendall nonparametric trend test, and it was used to evaluate the existence of monotonic trends. The second was a nonstationary generalized extreme value analysis, and it was used to determin
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Yoo, Chulsang, Minkyu Park, Hyeon Jun Kim, and Changhyun Jun. "Comparison of annual maximum rainfall events of modern rain gauge data (1961–2010) and Chukwooki data (1777–1910) in Seoul, Korea." Journal of Water and Climate Change 9, no. 1 (2017): 58–73. http://dx.doi.org/10.2166/wcc.2017.110.

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Abstract In this study, the annual maximum rainfall event series were constructed and compared for both the modern flip-bucket type rainfall data, collected since 1961 (the modern data), and the old Chukwooki rainfall data, collected from 1777 to 1910 (the Chukwooki data). First, independent rainfall events were derived, by applying the same rainfall threshold of 2 mm and data collection time interval of 2 hours, to both the Chukwooki and the modern data. Annual maximum rainfall event series were then constructed, by applying Freund's bivariate exponential distribution annually. Finally, bivar
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Jónsdóttir, Jóna Finndís, Cintia B. Uvo, and Robin T. Clarke. "Trend analysis in Icelandic discharge, temperature and precipitation series by parametric methods." Hydrology Research 39, no. 5-6 (2008): 425–36. http://dx.doi.org/10.2166/nh.2008.002.

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This paper presents results of analyses by parametric methods of annual means of temperature, precipitation and discharge, and of seasonal maximum precipitation at 17, 28 and 10 Icelandic stations, respectively, for the period 1961–2000. Trends in mean seasonal temperature and precipitation are in broad agreement with results found by other authors using other methods. A positive trend appears in both mean annual temperature and mean temperatures in most seasons. Annual mean precipitation trends are positive in most seasons except for negative trends in the September–November season in the sou
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Li, Guofang, Xinyi Xiang, and Caixiu Guo. "Analysis of Nonstationary Change of Annual Maximum Level Records in the Yangtze River Estuary." Advances in Meteorology 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/7205723.

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Under the impact of climate change and human activities, the stationarity of hydrometeorological extreme value series has been losing in many regions, which makes occurrence rules of hydrometeorological extreme events more complicated. In this study, the efficiencies of trend test methods such as Spearman rank correlation test and Mann-Kendall test, as well as the efficiencies of change-point test methods such as moving T test, moving rank sum test, Pettitt test, and sequential Mann-Kendall test were analyzed quantitatively through Monte Carlo simulation. Five representative level stations in
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Khatun, Khadija, MA Samad, and Md Bazlur Rashid. "Time Series Analysis of Temperature and Rainfall Data of Dhaka Division." Dhaka University Journal of Science 65, no. 2 (2017): 119–23. http://dx.doi.org/10.3329/dujs.v65i2.54519.

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In this paper, thirty five years’ (1981-2015) temperature and rainfall data have been studied to detect the recent trends in temperature and rainfall over Dhaka division of Bangladesh. Data of climatic factors such as annual average maximum temperature (MAXT), minimum temperature (MINT), mean temperature (MEANT), monsoon total rainfall (MTR) and annual total rainfall (ATR) have been analyzed. Sen’s non-parametric estimator of slope has been frequently used to estimate the magnitude of trend, whose statistical significance is assessed by the Mann–Kendall test. For this purpose, data from four m
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30

Madsen, Henrik, Charles P. Pearson, and Dan Rosbjerg. "Comparison of annual maximum series and partial duration series methods for modeling extreme hydrologic events: 2. Regional modeling." Water Resources Research 33, no. 4 (1997): 759–69. http://dx.doi.org/10.1029/96wr03849.

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Hyvärinen, Veli. "Trends and Characteristics of Hydrological Time Series in Finland." Hydrology Research 34, no. 1-2 (2003): 71–90. http://dx.doi.org/10.2166/nh.2003.0029.

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Hydrological time series analyses made in Finland up to 2001 show the following: 1) Precipitation has been increasing in southern and central Finland, and also in the north in winter, during the period 1911-2000. There are, however, no harmonized analyses of areal precipitation to show the exact increase. 2) The annual maximum of the areal water equivalent of snow has been increasing in eastern and northern Finland but decreasing in the south and west during the period 1947-2001. 3) The winter runoff has generally been increasing strongly in southern and slightly in central Finland during the
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Wu, Shuguang, Guigen Nie, Xiaolin Meng, et al. "Comparative Analysis of the Effect of the Loading Series from GFZ and EOST on Long-Term GPS Height Time Series." Remote Sensing 12, no. 17 (2020): 2822. http://dx.doi.org/10.3390/rs12172822.

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In order to investigate the effect of different loading models on the nonlinear variations in Global Positioning System (GPS) height time series, the characteristics of annual signals (amplitude and phase) of GPS time series, loading series from Deutsche GeoForschungsZentrum, Germany (GFZ) and School and Observatory of Earth Sciences, France (EOST) at 633 global GPS stations are processed and analyzed. The change characteristics of the root mean square (RMS) reduction rate, annual amplitude and phase of GPS time series after environmental loading corrections (ELCs) are then detected. Results s
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Karim, Fazlul, Masud Hasan, and Steve Marvanek. "Evaluating Annual Maximum and Partial Duration Series for Estimating Frequency of Small Magnitude Floods." Water 9, no. 7 (2017): 481. http://dx.doi.org/10.3390/w9070481.

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Park, Min-Kyu, and Chul-Sang Yoo. "Probabilistic Analysis of Independent Storm Events: 1. Construction of Annual Maximum Storm Event Series." Journal of Korean Society of Hazard Mitigation 11, no. 2 (2011): 127–36. http://dx.doi.org/10.9798/kosham.2011.11.2.127.

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Wu, Yunbiao, and Lianqing Xue. "Frequency Analysis and Uncertainty Assessment of Annual Maximum Flood Series Using Bayesian MCMC Method." IOP Conference Series: Materials Science and Engineering 392 (August 3, 2018): 062107. http://dx.doi.org/10.1088/1757-899x/392/6/062107.

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Aronica, G., M. Cannarozzo, and L. Noto. "Investigating the changes in extreme rainfall series recorded in an urbanised area." Water Science and Technology 45, no. 2 (2002): 49–54. http://dx.doi.org/10.2166/wst.2002.0026.

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The aim of this study is to investigate and quantify changes in the rainfall regime of the metropolitan area of Palermo characterised by increasingly strong urbanisation. The rainfall data, considered in this study, were collected on a yearly basis from eight rain gauges within and outside the metropolitan area of Palermo, Sicily, Italy. A preliminary analysis made on the annual total rainfall depths showed a global reduction of total annual rainfall, with two different trends: more regular for the series observed in the rain gauges within the urbanised area and more variable for the series ob
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Brown, Vincent M., Barry D. Keim, and Alan W. Black. "Trend Analysis of Multiple Extreme Hourly Precipitation Time Series in the Southeastern United States." Journal of Applied Meteorology and Climatology 59, no. 3 (2020): 427–42. http://dx.doi.org/10.1175/jamc-d-19-0119.1.

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AbstractAnnual trends in extreme hourly precipitation time series were examined at 50 first-order weather stations across the southeastern United States from 1960 to 2017. Results indicated that the magnitude of annual maximum 1-, 3-, 6-, 12-, and 18-h periods did not broadly change at the sites analyzed; however, the numerical value that defines a (station specific) 90th-percentile hourly accumulation significantly (p ≤ 0.05) increased at 36% (18/50) of the stations. No station had a significant decreasing trend in annual 90th-percentile hourly event magnitude. Stations in Texas observed the
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38

Mediero, Luis. "Identification of Flood-Rich and Flood-Poor Periods by Using Annual Maximum Series of Floods in Spain." Proceedings 7, no. 1 (2018): 15. http://dx.doi.org/10.3390/ecws-3-05829.

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Currently, there is general concern about the non-stationary behaviour of flood series. Consequently, several studies have been conducted to identify large-scale patterns of change in such flood series. In Spain, a general decreasing trend was found in the period 1959–2009. However, a multi-temporal trend analysis, with varying starting and ending years, showed that trend signs depended on the period considered. Flood oscillations could influence the results, especially when flood-rich and flood-poor periods are located at the beginning or end of the series. In Spain, a flood- rich period in 1
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Vieira, Felipe Rodolfo, Michael Silveira Thebaldi, Bruno Gonçalves Silveira, and Virgílio Henrique Barros Nogueira. "PROBABLE RAINFALL OF DIVINÓPOLIS CITY, MINAS GERAIS STATE, BRAZIL." REVISTA ENGENHARIA NA AGRICULTURA - REVENG 28 (February 5, 2020): 89–99. http://dx.doi.org/10.13083/reveng.v28i.6385.

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The aim of this paper was to analyze the behavior of non-parametric statistical distributions on the prediction of probable monthly and total annual rainfall as well as to determine the monthly and annual probable rainfall with different levels of probability for Divinópolis, Minas Gerais State, Brazil. The analysis consisted in adjusting the theoretical probability distribution to a data series of 66 years of monthly and annual rainfall. The data were obtained from the Hidroweb service, controlled by the National Water Agency (ANA, in Portuguese). The frequency distributions of Gumbel for Max
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40

Bonaccorso, B., A. Cancelliere, and G. Rossi. "Detecting trends of extreme rainfall series in Sicily." Advances in Geosciences 2 (February 21, 2005): 7–11. http://dx.doi.org/10.5194/adgeo-2-7-2005.

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Abstract. The objective of the study is to assess the presence of linear and non linear trends in annual maximum rainfall series of different durations observed in Sicily. In particular, annual maximum rainfall series with at least 50 years of records starting from the 1920’s are selected, and for each duration (1, 3, 6, 12 and 24 h) the Student’s t test and theMann- Kendall test, respectively, for linear and non linear trend detection, are applied also by means of bootstrap techniques. The effect of trend on the assessment of the return period of a critical event is also analysed. In particul
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Zeng, Ling, Hongwei Bi, Yu Li, Xiulin Liu, Shuai Li, and Jinfeng Chen. "Nonstationary Annual Maximum Flood Frequency Analysis Using a Conceptual Hydrologic Model with Time-Varying Parameters." Water 14, no. 23 (2022): 3959. http://dx.doi.org/10.3390/w14233959.

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Recent evidence of the impact of watershed underlying conditions on hydrological processes have made the assumption of stationarity widely questioned. In this study, the temporal variations of frequency distributions of the annual maximum flood were investigated by continuous hydrological simulation considering nonstationarity for Weihe River Basin (WRB) in northwestern China. To this end, two nonstationary versions of the GR4J model were introduced, where the production storage capacity parameter was regarded as a function of time and watershed conditions (e.g., reservoir storage and soil-wat
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42

Santos, Hugo Thaner dos, and Sérgio Nascimento Duarte. "HEAVY RAINFALL EVENTS IN VOLTA REDONDA." IRRIGA 26, no. 4 (2021): 801–13. http://dx.doi.org/10.15809/irriga.2021v26n4p801-813.

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Most Brazilian cities do not manage urban drainage in a proper manner, due to lack of planning in the sector or of easy-to-consult literature about local hydrology to enable hydrological modeling. Volta Redonda County fits this statistic, since it experiences events associated with flood and inundation in some specific sites. The aims of the present study are: (i) to record a series of maximum annual daily rainfall events in Volta Redonda County and to investigate whether their intensity has increased over the years; (ii) to adjust the maximum daily annual rainfall to a probability distributio
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43

Islam, M. S., and M. B. Sikder. "Detection of Trend in Hydrologic Variables Using Non-Parametric Test: A Study on Surma River in Northeastern Bangladesh." Journal of Scientific Research 9, no. 3 (2017): 277–84. http://dx.doi.org/10.3329/jsr.v9i3.32560.

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An initiative has been taken to investigate the trends in discharge and water level (WL) of the Surma River in northeastern Bangladesh. The daily time series data of discharge and WL from two stations named Kanairghat and Sylhet with a period of 42 years (1973 – 2014) and 35 years (1980 – 2014) respectively have been analyzed. Non parametric Mann-Kendall Test has been applied to detect the trend and Sen’s slope estimator is used to measure the slope of the trends. In Kanairghat station, annual mean WL has significant trend (P: 0.03); while, annual mean discharge, mean monsoon discharge, annual
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Sordo-Ward, Alvaro, Ivan Gabriel-Martín, Paola Bianucci, Giuseppe Mascaro, Enrique R. Vivoni, and Luis Garrote. "Stochastic Hybrid Event Based and Continuous Approach to Derive Flood Frequency Curve." Water 13, no. 14 (2021): 1931. http://dx.doi.org/10.3390/w13141931.

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This study proposes a methodology that combines the advantages of the event-based and continuous models, for the derivation of the maximum flow and maximum hydrograph volume frequency curves, by combining a stochastic continuous weather generator (the advanced weather generator, abbreviated as AWE-GEN) with a fully distributed physically based hydrological model (the TIN-based real-time integrated basin simulator, abbreviated as tRIBS) that runs both event-based and continuous simulation. The methodology is applied to Peacheater Creek, a 64 km2 basin located in Oklahoma, United States. First,
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45

Madsen, Henrik, Peter F. Rasmussen, and Dan Rosbjerg. "Comparison of annual maximum series and partial duration series methods for modeling extreme hydrologic events: 1. At-site modeling." Water Resources Research 33, no. 4 (1997): 747–57. http://dx.doi.org/10.1029/96wr03848.

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46

Pekárová, Pavla, Jakub Mészáros, Pavol Miklánek, Ján Pekár, Stevan Prohaska, and Aleksandra Ilić. "Long-Term Runoff Variability Analysis of Rivers in the Danube Basin." Acta Horticulturae et Regiotecturae 24, s1 (2021): 37–44. http://dx.doi.org/10.2478/ahr-2021-0008.

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Abstract The long-term runoff variability is identified to consist of the selected large rivers with long-term data series in the Danube River Basin. The rivers were selected in different regions of the Danube River Basin and have a large basin area (Danube: Bratislava gauge with 131,338 km2; Tisza: Senta with 141,715 km2; and Sava: Sremska Mitrovica with 87,966 km2). We worked with the station Danube: Reni in the delta as well. A spectral analysis was used to identify the long-term variability of three different types of time series: (1) Average annual discharge time series, (2) Minimum annua
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Pashynskyi, Mykola, Victor Pashynskyi, and Evgeniy Klymenko. "CALCULATION OF CLIMATE LOADS DESIGN VALUES ACCORDING TO THE PROBABILITY MODEL OF ANNUAL MAXIMUM SERIES." Elektronički časopis građevinskog fakulteta Osijek 12, no. 23 (2021): 61–71. http://dx.doi.org/10.13167/2021.23.6.

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The aim of this work is to improve a method for determining the characteristic values of climatic loads according to a probabilistic model of the annual maxima sequence, by choosing a rational type of generalized extreme value distribution law. An analysis is provided regarding the suitability of using four types of distributions for describing a data collection of maximum values of climatic loads. Using example data from the meteorological stations of Ukraine, it is found that for coefficients of variation smaller than 0.85–1.0, it is advisable to use the double exponential Gumbel distributio
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Amirabadizadeh, Mahdi, Yuk Feng Huang, and Teang Shui Lee. "Recent Trends in Temperature and Precipitation in the Langat River Basin, Malaysia." Advances in Meteorology 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/579437.

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A study was undertaken to detect long-term trends in the annual and seasonal series of maximum and minimum temperatures. Measurements were taken at 11 meteorological stations located in the Langat River Basin in Malaysia. The rainfall and maximum and minimum temperature data were obtained from the Malaysia Meteorological Department (MMD) and the Department of Irrigation and Drainage (DID) Malaysia. The procedures used included the Mann-Kendall test, the Mann-Kendall rank statistic test, and the Theil-Sen’s slope method. The analytical results indicated that when there were increasing and decre
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Castillo-Mateo, Jorge, Jesús Asín, Ana C. Cebrián, Jesús Mateo-Lázaro, and Jesús Abaurrea. "Bayesian Variable Selection in Generalized Extreme Value Regression: Modeling Annual Maximum Temperature." Mathematics 11, no. 3 (2023): 759. http://dx.doi.org/10.3390/math11030759.

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In many applications, interest focuses on assessing relationships between covariates and the extremes of the distribution of a continuous response. For example, in climate studies, a usual approach to assess climate change has been based on the analysis of annual maximum data. Using the generalized extreme value (GEV) distribution, we can model trends in the annual maximum temperature using the high number of available atmospheric covariates. However, there is typically uncertainty in which of the many candidate covariates should be included. Bayesian methods for variable selection are very us
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Marsh, Terry, and Catherine L. Harvey. "The Thames flood series: a lack of trend in flood magnitude and a decline in maximum levels." Hydrology Research 43, no. 3 (2012): 203–14. http://dx.doi.org/10.2166/nh.2012.054.

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The flow series for the River Thames near its tidal limit is one of the most studied in the world. Its length and completeness, and the richness of the historical information which augments the formal flow record, ensures that the series is of immense value. However, the variability in flood magnitude and frequency that it captures needs to be interpreted with caution. The homogeneity of the time series is influenced by a wide range of factors, including changes in the hydrometric capability of the gauging station and the impact of differing water, river and land management practices on the fl
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