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Artykuły w czasopismach na temat „And Rainfall Distribution Pattern”

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Data publikacji: 3 czerwca 2025

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1

Thoảng, Trần Thanh, La Tài, Trịnh Vĩnh Quân, et al. "Assessment of Potential Rainfall Distribution Patterns and Their Relationship with Inundation in Tra Vinh Province, Vietnam." Journal of Climate Change 8, no. 4 (2022): 51–61. http://dx.doi.org/10.3233/jcc220030.

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This study aimed to develop temporal rainfall distribution patterns of 1-day, 3-, 5-, and 7-consecutive rain days for three meteorological stations in Tra Vinh province (Cang Long, Tieu Can, and Tra Cu), using daily rainfall data from 1978 to 2017. The study follows the Vietnamese National Standards (TCVN 10406:2015:Irrigation Works – Calculation of Design Drainage Coefficients) to determine the frequency of events of various rainfall distribution drainage patterns. Thereafter, the probability method was conducted to identify rainfall pattern design according to a 10-year return period. Only C

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2

Ng, C. WW, B. Wang, and Y. K. Tung. "Three-dimensional numerical investigations of groundwater responses in an unsaturated slope subjected to various rainfall patterns." Canadian Geotechnical Journal 38, no. 5 (2001): 1049–62. http://dx.doi.org/10.1139/t01-057.

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Three-dimensional (3D) numerical analyses were conducted to investigate groundwater responses in an initially unsaturated cut slope at Lai Ping Road in Hong Kong subjected to rainfalls with various patterns, durations, and return periods. Initial and boundary conditions were established from field monitoring data. The computed results show that rainfall pattern has a significant influence on pore-water pressures in soil layers near the ground surface but its influence gradually diminishes with depth. Rainfall with an advanced storm pattern of 24 h duration was found to be the most critical bec

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Gernowo, Rahmat, and Muhamad Irham Nurwidyanto. "The FLOOD DISASTER MANAGEMENT BASED ON EXTREME TROPICAL RAINFALL IN DECADES OF CLIMATE CHANGE IN INDONESIA." International Journal of Engineering Science Technologies 5, no. 2 (2021): 124–30. http://dx.doi.org/10.29121/ijoest.v5.i2.2021.177.

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Indonesia's climate classification is divided into three rainfall patterns. The three patterns are Seasonal Pattern, Equatorial Pattern, and Local Pattern (Anti Seasonal). Flood Disaster Management based on extreme rainfall is very much needed, as the analysis was taken as a case study on January 22, 2019, a flood disaster occurred in South Sulawesi. The flood event indicated that there was heavy rain that flushed the South Sulawesi region for several days, which is classified as monsoonal rainfall. This study aims to analyze the characteristics of heavy rain with atmospheric anomalies during

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4

Manike, M. M. A. P., and M. Rajendran. "Analysis of Rainfall Distribution in Kurunegala District, Sri Lanka." Asian Journal of Research in Agriculture and Forestry 10, no. 1 (2024): 48–60. http://dx.doi.org/10.9734/ajraf/2024/v10i1268.

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Investigating the dynamics of rainfall has become very crucial in managing water resources efficiently for sustainable development. The present study aimed to analyze the rainfall distribution in Kurunegala district. Historical rainfall data collected from four gauging stations were subjected to both mathematical and statistical analysis. In addition, trends of rainfall, probability of exceedance and meteorological drought conditions were studied. Rainfall distribution in the district shows high variations. Bathalagoda records the highest mean annual rainfall of 1843 mm. The corresponding valu

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5

Irawan, Pengki, Junaedi Setiawan, Hendra Hendra, Novia Komala Sari, and Shinta Awaliyah. "ANALISIS POLA DISTRIBUSI CURAH HUJAN LEBAT DOMINAN DI DAERAH ALIRAN SUNGAI (DAS) CITANDUY HULU." JURNAL SUMBER DAYA AIR 20, no. 2 (2024): 75–86. http://dx.doi.org/10.32679/jsda.v20i2.894.

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Rainfall plays an important role in hydrological and environmental planning. Meteorological conditions affect rainfall through its intensity, amount, and duration. However, heavy rainfall can cause significant damage and loss. Research was conducted in the Upper Citanduy watershed, West Java, using rainfall data from 8 stations over a range of 5–14 years. The study took a heavy rainfall event threshold of ≥ 50 mm in 24 hours. The research aims to analyze the dominant heavy rainfall patterns in the Upper Citandyu watershed. Empirical analysis used the Mononobe Method and Alternating Block Metho

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6

Back, Álvaro J., Augusto C. Pola, Nilzo I. Ladwig, and Hugo Schwalm. "Erosive rainfall in the Rio do Peixe Valley in Santa Catarina, Brazil: Part II - Characteristics and temporal distribution pattern." Revista Brasileira de Engenharia Agrícola e Ambiental 21, no. 11 (2017): 780–84. http://dx.doi.org/10.1590/1807-1929/agriambi.v21n11p780-784.

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ABSTRACT Exploring the characteristics of erosive rain is an important aspect of studying erosive processes, and it allows researchers to create more natural and realistic hydrological simulations. The objective of this study was to analyse the characteristics of erosive rain and to determine the temporal distribution pattern of erosive rainfall in the Valley of Rio do Peixe in the state of Santa Catarina, Brazil. Daily pluviograms from the meteorological stations located in the cities Campos Novos, Videira, and Caçador in Santa Catarina from 1984 to 2014 were utilized for this study. By study

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7

Wijaya, Riki Chandra, and Umboro Lasminto. "Model Analysis Faktor Sebaran Data Curah Hujan Tahunan." Borneo Engineering : Jurnal Teknik Sipil 4, no. 1 (2020): 13–22. http://dx.doi.org/10.35334/be.v4i1.1102.

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Rainfall occurs in Watershed (DAS) has a special relationship. Data distribution from measuring devices at several locations in the watershed is predicted to have patterns and close relationships. To know this we need a model to be able to show a relationship between measured rainfall data. This research, a factor analysis model is performed to calculate how much the relationship between rainfall data in the watershed and to determine the shape of rainfall distribution patterns that occur. Based on the calculation results, it is known that pattern of rainfall data distribution from 6 rain stat

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8

Sok, Rachna. "Typical Rainfall Distribution Pattern of Flood Event Caused by Tropical Cyclone at Bima City, West Nusa Tenggara, Indonesia." Journal of the Civil Engineering Forum 5, no. 1 (2019): 1. http://dx.doi.org/10.22146/jcef.34604.

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Tropical cyclones are the most serious meteorological phenomena that hit Bima city in December 2016. The strong winds and heavy precipitation associated with a typhoon significantly affect the weather in this city. The impact of a tropical cyclone on precipitation variability in Bima is studied using rainfall data for analyzing hourly rainfall distribution pattern during the event. Depend on the geographic situation and climate characteristic, the hourly rainfall distribution pattern of one area is different to others area. The research aims to analyze hourly rainfall distribution pattern in t

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9

Ahmed, S. I., R. P. Rudra, B. Gharabaghi, K. Mackenzie, and W. T. Dickinson. "Within-Storm Rainfall Distribution Effect on Soil Erosion Rate." ISRN Soil Science 2012 (June 21, 2012): 1–7. http://dx.doi.org/10.5402/2012/310927.

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This study investigates the effect of rainfall temporal distribution pattern within a storm event on soil erosion rate and the possibility of using rain power type model for rainfall erosivity. Various rainfall distribution patterns, simulated by rainfall simulator, were used on 1.0 m2 plot of silica sand and loam soil with a minimum of three replications. The results show that the soil erosion rates spiked following every sharp increase in rainfall intensity followed by a gradual decline to a steady erosion rate. Transient effects resulted in the soil erosion rates for an oscillatory rainfall

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10

K. A. SINGH, A. K. SIKKA, and SUCHIT K. RAI. "Rainfall distribution pattern and crop planning at Pusa in Bihar." Journal of Agrometeorology 10, no. 2 (2008): 198–203. http://dx.doi.org/10.54386/jam.v10i2.1204.

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Daily rainfall data of fifty two years (1952-2004) have been analyzed for establishing the long term averages of weekly, monthly, seasonal and annual rainfall and its variability. The annual rainfall at Pusa was 1222.3 mm and coefficient of variability indicated that rainfall was more or less stable over the years. Monthly rainfall had unimodel peak, July receives maximum rainfall of 331 mm followed by August (298.5 mm). The stable rainfall period was of 9 weeks, which spread over 27 to 37th standard meteorological weeks (SMW) except 32nd and 34th SMW. The average duration of rainy season is f

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11

N. O. Okoro, G. A. Agbo, J. N. Ofoma, and C. E. Mbamara. "Testing Neural Network (NN) algorithms implemented in MATLAB for the study of rainfall distribution patterns at different locations in Nigeria." World Journal of Advanced Research and Reviews 15, no. 3 (2022): 027–32. http://dx.doi.org/10.30574/wjarr.2022.15.3.0834.

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In Nigeria, accurate information concerning rainfall distribution is generally difficult to obtain because it is a discontinuous quantity. Therefore, special tools and equipment are required for its recording and interpretation. This has made information dissemination regarding rainfall distribution across different locations in Nigeria difficult. The scenario has made everyone sorely dependent on the Nigeria Meteorological Agency (NiMet) as the only source of recording and interpreting rainfall distribution. Rainfall distributed at different locations in Nigeria at the same time and season fo

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12

N., O. Okoro, A. Agbo G., N. Ofoma J., and E. Mbamara C. "Testing Neural Network (NN) algorithms implemented in MATLAB for the study of rainfall distribution patterns at different locations in Nigeria." World Journal of Advanced Research and Reviews 15, no. 3 (2022): 027–32. https://doi.org/10.5281/zenodo.7760541.

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In Nigeria, accurate information concerning rainfall distribution is generally difficult to obtain because it is a discontinuous quantity. Therefore, special tools and equipment are required for its recording and interpretation. This has made information dissemination regarding rainfall distribution across different locations in Nigeria difficult. The scenario has made everyone sorely dependent on the Nigeria Meteorological Agency (NiMet) as the only source of recording and interpreting rainfall distribution. Rainfall distributed at different locations in Nigeria at the same time and season fo

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13

Sumarauw, Jeffry S. F., Sisca V. Pandey, and Roski R. I. Legrans. "Hourly Rainfall Distribution Pattern in the Northern Coast of Bolaang Mongondow." Journal of Sustainable Engineering: Proceedings Series 1, no. 1 (2019): 75–83. http://dx.doi.org/10.35793/joseps.v1i1.10.

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The data for this research is compiled from the records of hourly rainfall between 1993 to 2014 which was generated from several. Automatic Rainfall Stations namely; Ayong-Bumbung Climatology Station, Sangkub-Huntuk climatology station, and Sangkub-Pangkusa Climatology Station. The data was then analyzed using statistical methods. Rainfall distribution pattern is based on heavy rainfall recorded by automatic rainfall measuring device. The rainfall data used here are the ones with rainfall depth of more than 50mm. All the data are then analyzed to obtain the frequency of occurrence of each of t

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14

Anggraheni, Dinia, and Dimas Gustoro. "Rainfall Distribution Pattern of Progo Watershed in Observational and Empirical Method." MATEC Web of Conferences 280 (2019): 05005. http://dx.doi.org/10.1051/matecconf/201928005005.

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Automatic Rainfall Recorder (ARR) has not been widely available in Indonesia, so data of rainfall is available in the form of daily rainfall. To know the pattern of rainfall distribution in a watershed, there are two methods, they are the observational and empirical method. the Observational Method can be done if it has automatic rainfall data minimal hourly-time in a long period. Meanwhile, the empirical method will be used when data is very limited. So in this research, there were two methods to develop the rainfall distribution pattern in Progo Watershed. The data were used by the observati

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15

Wu, Yuze, Ming Tang, Zuhao Zhou, et al. "Rainfall Pattern Construction Method Based on DTW-HCA and Urban Flood Simulation: A Case Study of Nanchang City, China." Water 16, no. 1 (2023): 65. http://dx.doi.org/10.3390/w16010065.

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Due to the different design standards of urban drainage and water conservancy facilities, numerous coordination and linkage issues arise when confronting extreme rainfall. In this paper, three clustering methods were used to cluster rainfall events, and the results demonstrate that the dynamic time warping-hierarchical clustering algorithm (DTW-HCA) effectively captures the temporal similarity of time series. Then, the Pilgrim and Cordery rainfall distribution method was utilized to extract the characteristics of eight clusters of rainfall events, and eight kinds of rainfall patterns were obta

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16

Langat, Amos Kipkorir, and John Kamwele Mutinda. "Rainfall Pattern in Kenya: Bayesian Non-parametric Model Based on the Normalized Generalized Gamma Process." Asian Journal of Probability and Statistics 26, no. 7 (2024): 34–47. http://dx.doi.org/10.9734/ajpas/2024/v26i7628.

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Understanding the pattern of rainfall in Kenya is crucial for a range of sectors, including agriculture, water management, and disaster risk reduction. In this research, we propose a Bayesian non-parametric approach to model the rainfall patterns in Kenya. Specifically, we use a hierarchical Dirichlet process mixture model to cluster the rainfall stations and identify groups of stations with similar rainfall patterns. We then model the rainfall distribution within each group using a Bayesian non-parametric model based on the normalized generalized gamma process. We apply our method to a datase

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17

Sun, Xia, Lian Xie, Fredrick Semazzi, and Bin Liu. "Effect of Lake Surface Temperature on the Spatial Distribution and Intensity of the Precipitation over the Lake Victoria Basin." Monthly Weather Review 143, no. 4 (2015): 1179–92. http://dx.doi.org/10.1175/mwr-d-14-00049.1.

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Abstract A series of sensitivity experiments are performed to investigate the response of precipitation over the Lake Victoria basin (LVB) to the changes of lake surface temperature (LST) using the Weather Research and Forecasting (WRF) Model. It is shown that the default LST initialized from NCEP FNL (Final) Operational Global Analysis is deficient for simulating the rainfall over the LVB. Comparative experiments demonstrate the unambiguous impact of LST on the intensity and pattern of the precipitation over LVB. Intensification/weakening of precipitation over the lake occur with increasing/d

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18

Lin, Fu-Ru, Nan-Jing Wu, and Ting-Kuei Tsay. "Applications of Cluster Analysis and Pattern Recognition for Typhoon Hourly Rainfall Forecast." Advances in Meteorology 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/5019646.

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Based on the factors of meteorology and topography, it is assumed that there exist some certain patterns in spatial and temporal rainfall distribution of a watershed. A typhoon rainfall forecasting model is developed under this assumption. If rainfall patterns can be analyzed and recognized in terms of individual watershed topography, only the spatial rainfall distribution prior to a specific moment is needed to forecast the rainfall in the next coming hours. It does not need any other condition in meteorology and climatology. Besides, supplement techniques of missing rainfall gage data are al

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19

Garavaglia, F., M. Lang, E. Paquet, J. Gailhard, R. Garçon, and B. Renard. "Reliability and robustness of rainfall compound distribution model based on weather pattern sub-sampling." Hydrology and Earth System Sciences 15, no. 2 (2011): 519–32. http://dx.doi.org/10.5194/hess-15-519-2011.

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Abstract. A new probabilistic model for daily rainfall, named MEWP (Multi Exponential Weather Pattern) distribution, has been introduced in Garavaglia et al. (2010). This model provides estimates of extreme rainfall quantiles using a mixture of exponential distributions. Each exponential distribution applies to a specific sub-sample of rainfall observations, corresponding to one of eight typical atmospheric circulation patterns that are relevant for France and the surrounding area. The aim of this paper is to validate the MEWP model by assessing its reliability and robustness with rainfall dat

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20

Shamsuzzoha, M., A. Parvez, and AFMK Chowdhury. "Analysis of Variability in Rainfall Patterns in Greater Rajshahi Division using GIS." Journal of Environmental Science and Natural Resources 7, no. 2 (2015): 141–49. http://dx.doi.org/10.3329/jesnr.v7i2.22223.

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The study entitled Analysis of Changes in Rainfall Patterns in Rajshahi Division using GIS is an experimental climatological research. The main objectives of the study is to examine the long-term changes in rainfall patterns of Rajshahi Division. Secondary data of rainfall distribution have been collected from Bangladesh Meteorological Department (BMD), Dhaka. The study has analysed monthly, seasonal and annual rainfall distribution pattern from 1962 to 2007 of five selected weather stations namely Bogra, Dinajpur, Ishurdi, Rajshahi and Rangpur. For convenience of analysis, the data has been

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21

G.V, Vishwanath,, Venkataramana, and N. Prabhakaran. "Rainfall distribution pattern for crop planning in Raichur region (Karnataka), India." Ecology, Environment and Conservation 28, no. 08 (2022): S192—S196. http://dx.doi.org/10.53550/eec.2022.v28i08s.029.

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Rainfall during monsoon season and its variability governs the cropping system in the rainfed regions of Raichur. Daily rainfall data of one hundred fourteen years (1913-2020) have been analyzed for establishing the long term averages of monthly, seasonal and annual rainfall and its variability. The overall mean annual rainfall at Raichur region was 672.6 mm with average rainy days of 42 days, and distribution of 486.2 mm, 124.5 mm, 55.9 mm and 6.0 mm in monsoon, post monsoon, summer and winter respectively. The coefficient of variation of 29.8 indicated that rainfall was more or less stable o

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BISWAS, B. C., and R. D. PHADTARE. "Cropping pattern of Konkan region on the basis of probabilistic rainfall and soil characteristics." MAUSAM 46, no. 2 (2022): 133–40. http://dx.doi.org/10.54302/mausam.v46i2.3218.

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ABSTRACT- Cropping pattern at any place of humid tropics basically depends on soils and efficient management of abundant rainfall. Climate of Konkan region IS warm and humid. Rainfall is very high and varies usually from 200 to 350 cm. Rainfall probability has been computed at different levels of 16 stations of this region by fitting Gamma distribution model to weekly rainfall total. The existing cropping pattern was studied in relation with assured rainfall at different probability levels. Suitable cropping patterns based on assured rainfall and soils of the region have been suggested to incr

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23

Xavier, Prince K., Jean-Philippe Duvel, Pascale Braconnot, and Francisco J. Doblas-Reyes. "An Evaluation Metric for Intraseasonal Variability and its Application to CMIP3 Twentieth-Century Simulations." Journal of Climate 23, no. 13 (2010): 3497–508. http://dx.doi.org/10.1175/2010jcli3260.1.

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Abstract The intraseasonal variability (ISV) is an intermittent phenomenon with variable perturbation patterns. To assess the robustness of the simulated ISV in climate models, it is thus interesting to consider the distribution of perturbation patterns rather than only one average pattern. To inspect this distribution, the authors first introduce a distance that measures the similarity between two patterns. The reproducibility (realism) of the simulated intraseasonal patterns is then defined as the distribution of distances between each pattern and the average simulated (observed) pattern. A

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Patandean, Candra Febryanto. "Analysis of Genesis Rain in Spring Transition in Makassar." Jurnal Ad'ministrare 6, no. 2 (2020): 177. http://dx.doi.org/10.26858/ja.v6i2.12520.

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Extreme weather in this case heavy rains is common in the city of Makassar, both of which resulted in a flood or no flood. This type of research is descriptive research that aims to describe the incidence of rain in the transition season in Makassar. The source of data used in obtaining data on research in Makassar is secondary data. His research methods such as analysis method is based on monthly rainfall data to determine the monthly rainfall pattern using the Log Pearson III distribution methods and daily rainfall data duration of 3 hours early to analyze the frequency of rain by using Gumb

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Garavaglia, F., M. Lang, E. Paquet, J. Gailhard, R. Garçon, and B. Renard. "Reliability and robustness of rainfall compound distribution model based on weather pattern sub-sampling." Hydrology and Earth System Sciences Discussions 7, no. 5 (2010): 6757–92. http://dx.doi.org/10.5194/hessd-7-6757-2010.

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Abstract. Design floods for EDF (Électricité de France, French electricity company) dam spillways are now computed using a probabilistic method named SCHADEX (Climatic-Hydrological Simulation of Extreme Floods) based on an extreme rainfall model named the MEWP (Multi Exponential Weather Pattern) distribution. This probabilistic model provides estimates of extreme rainfall quantiles using a mixture of exponential distributions. Each exponential distribution applies to a specific sub-sample of rainfall observations, corresponding to one of eight typical atmospheric circulation patterns that are

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Na, Wooyoung, Changhyun Jun, and Sang Yeob Kim. "Influence of Rainfall Pattern on Wetness Index for Infinite Slope Stability Analysis." Water 15, no. 14 (2023): 2535. http://dx.doi.org/10.3390/w15142535.

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Landslides are one of the riskiest disasters combining excessive rainfall and unstable slope that a wetness index can quantify. The wetness index generated by water infiltration considering the rainfall pattern such as cumulated rainfall, rainfall duration and rainfall intensity should be estimated for the slope stability analysis. Even though the infiltration capacity of soils has been largely focused to evaluate the slope stability, the temporal patterns of rainfall have commonly been ignored or assumed as a steady state for the prediction of the slope failure in the previous studies. Thus,

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Zahudi, Zawani Mohd, Mohd Shalahuddin Adnan, Nurul Farehah Amat, Yuliarahmadila Erfen, and Noorfathiah Che Ali. "Climate Change Impacts on Rainfall Distribution at Teluk Intan Catchment." Applied Mechanics and Materials 773-774 (July 2015): 1296–300. http://dx.doi.org/10.4028/www.scientific.net/amm.773-774.1296.

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Many studies have been conducted on determining the effect of climate change on the precipitation. The increasing of temperature has led to increase of evaporation rate, rainfall intensity, sea water level and so forth. These changes will lead to greater disaster such as increase of flood magnitude, flood event, drought intensity and prolong the drought period. The main objective of this study is to analyze the monthly rainfall pattern from 1984 to 1993 for the Teluk Intan Basin. Five stations of rainfall data were retrieved from DID. The rainfall distribution pattern was calculated by using t

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Kumar, Manoj, Chander Shekhar, and Veena Manocha. "Maximum rainfall probability distributions pattern in Haryana â€“A case study." Journal of Applied and Natural Science 8, no. 4 (2016): 2029–36. http://dx.doi.org/10.31018/jans.v8i4.1082.

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The present study has been undertaken to fit best probability distribution of rainfall in Ambala District of Haryana State. The analysis showed that the maximum daily rainfall among the years ranged between 41mm (1980) to 307.9mm (2009) indicating a very large variation during the period of study. The mean of maximum daily rainfall of all years annually is 112.13mm. The means of monthly and weekly values ranged from 33.10-88.92mm and 8.77- 46.28 mm, respectively. The maximum daily rainfall in a year/monsoon season was307.9 mm and monthly maximum daily rainfall in monsoon season ranged from 105

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Priambodo, Sebastianus, Suhardjono, Lily Montarcih, and Ery Suhartanto. "Hourly rainfall distribution patterns in Java island." MATEC Web of Conferences 276 (2019): 04012. http://dx.doi.org/10.1051/matecconf/201927604012.

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Nowadays, water resources management development not only sees from the side of excess or lack of water in quantity, but already includes aspects of quality, health, aesthetics, comfort and environmental sustainability. The problems faced by urban areas are the disruption of activities due to flood events. The opportunities for flooding depend on climate and global weather behaviour. The magnitude of the flood depends on the rain with certain characteristic that is generally seen from the intensity and duration of rain events. While the magnitude of losses due to floods depends on the magnitud

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N.M. ALAM, C. JANA, PANKAJ PANWAR, et al. "Weekly rainfall analysis for crop planning in rainfed Shivalik Himalayas of India." Journal of Agrometeorology 17, no. 2 (2015): 234–40. http://dx.doi.org/10.54386/jam.v17i2.1014.

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The study was carried out to compare various two-parameter probability distributions for identifying the most appropriate distribution to describe the weekly rainfall data of Standard Meteorological Week (SMW) from 22 to 42 weeks in Shivalik region of India. The ‘‘best’’ distribution among different data sets has been identiûed using Anderson–Darling (AD) test for goodness-of-ût. Single probability distribution, which can represent all the data sets, was not found among the distributions studied. Weibull distribution was best fit in about nine SMW, followed by Gamma distribution showing best f

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Osahenvemwen, O.A, and O. Omorogiuwa. "Rain Attenuation Analysis from System Operating at Ku and Ka Frequencies Bands." American Journal of Advanced Research 1, no. 1 (2017): 7–12. https://doi.org/10.5281/zenodo.836235.

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This study presents rain attenuation analysis from System operating at Ku and Ka Frequencies Bands. Focused to determine the effects of weather conditions on propagation link performance property and quality of service render to customers. Recently, there is high demand of data rate, voice and video information have being on the increase due to industrial evolution and technological advancements. Satellite communication systems have witnessed various impairments which are considered in this study. Basic climate data were obtained from Meteorological Centre in Nigeria, for three years duration

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VISHWANATH, G. V. VENKATARAMANA, and N. PRABHAKARAN. "STUDY OF RAINFALL DISTRIBUTION PATTERN AND ITS VARIABILITY IN BIDAR REGION, KARNATAKA, INDIA." Asian Journal of Microbiology, Biotechnology & Environmental Sciences 24, no. 04 (2022): 728–34. http://dx.doi.org/10.53550/ajmbes.2022.v24i04.018.

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A case study has been done to study the rainfall distribution pattern and its variability for the selection of crops and cropping pattern of Bidar region, Karnataka with a predominant pigeon pea and sugarcane cropping systems. The study revealed that the overall mean annual rainfall of Aurad was 846 mm, which was distributed as 673.7 mm, 101.6 mm, 60.2 mm and 10.7 mm in monsoon, post monsoon, summer and winter respectively. The average annual rainfall of Bhalki was 874.7 mm with average rainy days of 51 days. The mean annual rainfall of Humnabad is 797 mm with 27 per cent variability spread ov

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Pujiastuti, Ratih, and Nevy Risna. "ANALISA SENSITIVITAS DURASI HUJAN PADA PERHITUNGAN DEBIT BANJIR DAS TENGGANG DAN SRINGIN." Jurnal Teknik Indonesia 3, no. 1 (2022): 36. http://dx.doi.org/10.61689/jti.v3i1.363.

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Design flood is one of the important aspects in the design of water structures. Calculation of the design flood is very dependent on the existing rain data in the watershed area. The amount of flood discharge is not only influenced by the value of rainfall but also depends on the duration and distribution of rainfall per unit of time.This study was conducted to determine duration of rainfall that produces the maximum flood discharge for Tenggang and Sringin River. Calculation of flood discharge for Tenggang and Sringin River was carried out using a rainfall distribution pattern (hyetograph) fo

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Mtibaa, Slim, and Haruka Tsunetaka. "Revealing the relation between spatial patterns of rainfall return levels and landslide density." Earth Surface Dynamics 11, no. 3 (2023): 461–74. http://dx.doi.org/10.5194/esurf-11-461-2023.

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Abstract. It is known that the spatial rainfall pattern can mark landslide distribution across the landscape during extreme triggering events. However, the current knowledge of rainfall controls on this distribution remains limited. Here, to reveal what rainfall characteristics control landslide spatial distribution, we explore the spatiotemporal pattern of a rainfall event that triggered over 7500 landslides (area ≈ 100–104 m2) at a regional scale with an area of ≈400 km2 in Japan. Using a 5 km resolution radar-driven and gauge-adjusted hourly precipitation dataset with 32 years of records, w

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Faillasuf, Vide Mirza, Gusfan Halik, and Retno Utami Agung Wiyono. "Study of Rainfall and Water Discharge Spatial Variability Using Exploratory Spatial Data Analysis Method in Bondowoso Regency." BERKALA SAINSTEK 9, no. 1 (2021): 26. http://dx.doi.org/10.19184/bst.v9i1.16179.

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The difference in rainfall intensity affects the hydrological cycle as a process that greatly determines the amount of water discharge. Thus, in water resources management, it is important to determine the distribution pattern of rainfall and discharge. By studying the characteristics of rainfall distribution patterns and water discharge, the potential of water resources can be illustrated well. This study uses the Exploratory Spatial Data Analysis method to examine spatial variability of rainfall intensity and water discharge in Bondowoso Regency. Rainfall and discharge data are collected fro

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Chaudhary, Uchit, Mausam Nembang Limbu, and Gopi Chandra Kaphle. "Statistical Analysis of Rainfall Distribution in Biratnagar, Nepal: A case study." Pragya Darshan प्रज्ञा दर्शन 5, no. 1 (2023): 52–57. http://dx.doi.org/10.3126/pdmdj.v5i1.52307.

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Rainfall is a key component in the construction of many engineering projects, including canals, bridges, culverts, and road drainage systems. The primary goal of this study is to ascertain the annual, monthly and seasonal fluctuations in rainfall in Biratnagar, Nepal over a period of 10 years (2010-2019). The mean, standard deviation, coefficient of variation, skewness, kurtosis, Precipitation Concentration Index (PCI), normal rainfall along with Mann-Kendall test were calculated to check the rainfall variations. The annual data showed the biggest varieties in rainfall, with an average annual

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Li, Jian, and Rucong Yu. "A Method to Linearly Evaluate Rainfall Frequency–Intensity Distribution." Journal of Applied Meteorology and Climatology 53, no. 4 (2014): 928–34. http://dx.doi.org/10.1175/jamc-d-13-0272.1.

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AbstractThis study presents a method to linearly evaluate the rainfall frequency–intensity distribution, which is an important component of climatological rainfall characteristics. To grasp and represent the key information of the rainfall frequency distribution by intensity, a two-parameter double exponential function is formulated and fitted to the hourly rainfall observation at each station. The values of the two parameters are estimated by transforming the distribution to a linear pattern. The two parameters determine the location and shape of the fitted distribution curve, and they have d

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Libina, R. S., R. Jegankumar, K. Prakash, D. Venkita Surya, S. P. Dhanabalan, and M. A. Arya. "Spatial and Temporal Trend Analysis of Rainfall Distribution in Nambiyar Watershed, Tamil Nadu." Geo-Eye 10, no. 2 (2021): 18–25. https://doi.org/10.53989/bu.ge.v10i2.4.

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This study is an attempt to comprehend the spatial and temporal trend of rainfall distribution in the Nambiyar watershed. The daily rainfall data was processed for the period from 1988 to 2018 to map the spatial distribution and analyse the temporal trend of rainfall. The results reveals that mean annual rainfall received in the watershed is 1026.81 mm. Statistical techniques like Mann- Kendall test and Sen’s Slope estimator were used to analyse presence of trend and correlation of variables. Among four seasons northeast monsoon contributes around 47 per cent (482.57 mm) of the total rainfall.

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BISWAS, BC, NN KHAMBETE, and SS MONDAL. "Weekly rainfall probability analysis of dry farming tract of Tamilnadu." MAUSAM 40, no. 2 (2022): 101–10. http://dx.doi.org/10.54302/mausam.v40i2.2061.

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Week by week assured rainfall at different probability 1evels90-10% has been computed for 103 stations of Tamilnadu by fitting incomplete Gamma distribution model. This assured rainfall has been used to demarcate the dry farming tract of Tamilnadu into various homogeneous rainfall zones the analysis has brought out 4 homogeneous rainfall pattern zones. Important features noticed In assured rainfall distribution at different probability levels have been discussed. The drought prone area and a high assured rainfall pattern zones of this state have also been identified. The table and diagrams pre

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Masroh, Yendra Rado, Pani Desvina Ari, and Marizal Muhammad. "THE APPLIED OF FUNCTIONAL DATA ANALYSIS TO COMPARISON 100 TIMES SIMULATED MONTHLY RAINFALL USING SOME TWO PARAMETERS DISTRIBUTION." INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 11, no. 05 (2023): 3451–57. https://doi.org/10.5281/zenodo.7986570.

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Three probability models of mothly rainfall such as Gamma, Weibulland Log Normal distribution are evaluated in terms of their ability to reproduce the mean statistics derived from 100 times simulation of monthly rainfall in the Pekanbaru City, Indonesia. One of the important studies is to investigate and understand the simulate mean monthly rainfall patterns that occur throughout the year. To identify the pattern,  it  requires  a  rainfall  curve  to  represent  monthly  observation  of  rainfall  received  during  the year

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Taufik Ibrahim, Anis, and Eko Kusratmoko. "Influence of Rainfall Spatial Distribution on Total Suspended Solid (TSS in Ci lutung Watershed." E3S Web of Conferences 73 (2018): 03015. http://dx.doi.org/10.1051/e3sconf/20187303015.

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The study aims to analyze the influence of rainfall spatial distribution on total suspended solid and the connection between total suspended solid with river stream discharge on the condition of physical characteristics in Cilutung stream area, Majalengka regency. The extraction process of Himawari 8 Imagery used to find out the rainfall spatial distribution pattern while taking samples in April, 2018. Curve Number Data have the form of hydrologic soil groups and land use required to give score to each five sub-watershed that has been delineated for region physical characteristic. The Rainfall

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Máca, P., and P. Torfs. "The influence of temporal rainfall distribution in the flood runoff modelling." Soil and Water Research 4, Special Issue 2 (2010): S102—S110. http://dx.doi.org/10.17221/471-swr.

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The rainfall input is one of the main factors influencing the magnitude of the runoff response during a flood event. Its temporal and spatial distribution significantly contributes to the formation of hydrograph shape, peak discharge and flood volume. A novel approach to the evaluation of the role of the temporal rainfall pattern of hydrograph is presented in this contribution. The methodology shown is based on the coupling of the deterministic event based runoff model with the stochastic rainfall disaggregation model. The rainfall model simulates the hyetograph ensemble, which is the direct i

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Nuryanto, Danang Eko, Yuaning Fajariana, Radyan Putra Pradana, Rian Anggraeni, Imelda Ummiyatul Badri, and Ardhasena Sopaheluwakan. "Modeling of Heavy Rainfall Triggering Landslide Using WRF Model." Agromet 34, no. 1 (2020): 55–65. http://dx.doi.org/10.29244/j.agromet.34.1.55-65.

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This study revealed the behavior of heavy rainfall before landslide event based on the Weather Research Forecasting (WRF) model. Simulations were carried out to capture the heavy rainfall patterns on 27 November 2018 in Kulonprogo, Yogyakarta. The modeling was performed with three different planetary boundary layer schemes, namely: Yonsei University (YSU), Sin-Hong (SH) and Bougeault and Lacarrere (BL). Our results indicated that the variation of rainfall distribution were small among schemes. The finding revealed that the model was able to capture the radar’s rainfall pattern. Based on statis

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Giarno, G., Muhammad Pramono Hadi, Slamet Suprayogi, and Sigit Heru Murti. "Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait." Forum Geografi 32, no. 1 (2018): 38–52. http://dx.doi.org/10.23917/forgeo.v32i1.5774.

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This research aims to evaluate rainfall estimates of satellite products in regions that have high variations of rainfall pattern. The surrounding area of Makassar Strait have chosen because of its distinctive rainfall pattern between the eastern and western parts of the Makassar Strait. For this purpose, spatial distribution of Pearson’s coefficient correlation and Root Mean Square Error (RMSE) is used to evaluate accuracy of rainfall in the eastern part of Kalimantan Island and the western part of Sulawesi Island. Moreover, we also used the contingency table to complete the parameter accuracy

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Vantas, Konstantinos, and Epaminondas Sidiropoulos. "Intra-Storm Pattern Recognition through Fuzzy Clustering." Hydrology 8, no. 2 (2021): 57. http://dx.doi.org/10.3390/hydrology8020057.

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The identification and recognition of temporal rainfall patterns is important and useful not only for climatological studies, but mainly for supporting rainfall–runoff modeling and water resources management. Clustering techniques applied to rainfall data provide meaningful ways for producing concise and inclusive pattern classifications. In this paper, a timeseries of rainfall data coming from the Greek National Bank of Hydrological and Meteorological Information are delineated to independent rainstorms and subjected to cluster analysis, in order to identify and extract representative pattern

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Blanchet, J., J. Touati, D. Lawrence, F. Garavaglia, and E. Paquet. "Evaluation of a compound distribution based on weather pattern subsampling for extreme rainfall in Norway." Natural Hazards and Earth System Sciences 15, no. 12 (2015): 2653–67. http://dx.doi.org/10.5194/nhess-15-2653-2015.

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Abstract. Simulation methods for design flood analyses require estimates of extreme precipitation for simulating maximum discharges. This article evaluates the multi-exponential weather pattern (MEWP) model, a compound model based on weather pattern classification, seasonal splitting and exponential distributions, for its suitability for use in Norway. The MEWP model is the probabilistic rainfall model used in the SCHADEX method for extreme flood estimation. Regional scores of evaluation are used in a split sample framework to compare the MEWP distribution with more general heavy-tailed distri

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Mr., Kale Pappu D., Kharat Dadasaheb N. Dr., and Dr. Guldeokar Shalini M. (Prof.). "Trend Analysis of Seasonal Rainfall in Pune Division of Maharashtra State." International Journal of Advance and Applied Research S6, no. 6 (2025): 135–42. https://doi.org/10.5281/zenodo.15063475.

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<em>Climate change significantly influences rainfall patterns globally and in regionally as like Pune division in Maharashtra. Climate change has led to changes in rainfall intensity, frequency, and distribution.</em><em> </em><em>It can disrupt traditional monsoon patterns and trend causing erratic rainfall during the season. Uneven distribution of rainfall can lead to periods of heavy rain followed by dry spells, affecting agriculture and water resources. </em> <em>In this research work, we have analysed the temporal trend of seasonal rainfall (June to September) in Pune division of Maharash

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Gill, K. K., Ritu Babuta, and S. S. Kukal. "Impact of climate change on extreme rainfall events and rainfall distribution pattern in Punjab." Agricultural Research Journal 53, no. 4 (2016): 501. http://dx.doi.org/10.5958/2395-146x.2016.00099.5.

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Nugroho, Bayu Dwi Apri. "Relationships between Sea Surface Temperature (SST) and rainfall distribution pattern in South-Central Java, Indonesia." Indonesian Journal of Geography 47, no. 1 (2015): 20. http://dx.doi.org/10.22146/ijg.6742.

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Although there has been a high relationship between global climate and rainfall in Indonesia, little evidence is available for relationship between Sea Surface Temperature (SST) and rainfall pattern in highland of country. This study evaluates the relationships between Sea Surface Temperature (SST) and rainfall distribution pattern in Gunungkidul district, highland of South-Central Java, Indonesia. Principal Component Analysis (PCA) approach was used to summarize the average of SSTs during rainy season (October to March) for the El Niño monitoring regions: IOBW (Indian Ocean Basin-Wide), Niño.

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Liu, Yuanyuan, Yesen Liu, Hancheng Ren, et al. "Spatial and Temporal Pattern of Rainstorms Based on Manifold Learning Algorithm." Water 15, no. 1 (2022): 37. http://dx.doi.org/10.3390/w15010037.

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Identifying the patterns of rainstorms is essential for improving the precision and accuracy of flood forecasts and constructing flood disaster prevention systems. In this study, we used a manifold learning algorithm method of machine learning to analyze rainstorm patterns. We analyzed the spatial–temporal characteristics of heavy rain in Beijing and Shenzhen. The results showed a strong correlation between the spatial–temporal pattern of rainstorms and underlying topography in Beijing. However, in Shenzhen, the spatial–temporal distribution characteristics of rainstorms were more closely rela

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