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Artykuły w czasopismach na temat „IMPACT OF RAINFALL”

Autor: Grafiati

Data publikacji: 11 września 2023

Data aktualizacji: 31 lipca 2025

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1

Brychta, Jiří, and Miloslav Janeček. "Determination of erosion rainfall criteria based on natural rainfall measurement and its impact on spatial distribution of rainfall erosivity in the Czech Republic." Soil and Water Research 14, No. 3 (2019): 153–62. http://dx.doi.org/10.17221/91/2018-swr.

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Rainfall erosivity is the main factor of the USLE or RUSLE equations. Its accuracy depends on recording precision and its temporal resolution, number of stations and their spatial distribution, length of recorded period, recorded period, erosion rainfall criteria, time step of rainfall intensity and interpolation method. This research focuses on erosion rainfall criteria. A network of 32 ombrographic stations, 1-min temporal resolution rainfall data, 35.6-year period and experimental runoff plots were used. We analysed 8951 rainfalls from ombrographic stations, 100 rainfalls and caused soil lo

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Sugianti, Khori, and Adrin Tohari. "THE IMPACT OF GEOLOGICAL AND RAINFALL CHARACTERISTICS ON SLOPE STABILITY ANALYSIS IN SHALLOW LANDSLIDE MODELLING USING THE TRIGRS MODEL." Rudarsko-geološko-naftni zbornik 38, no. 4 (2023): 147–66. http://dx.doi.org/10.17794/rgn.2023.4.12.

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West Java Province has a high potential for susceptibility to landslides. West Bandung Regency is one of the regions in West Java which has high occurrences of landslides triggered by rainfalls. Rainfall-induced landslides in this region have occurred 165 times during rainfall in the last ten (10) years. An effort to predict the landslide occurrences in this region requires the knowledge of factors affecting the hillslope stability. This paper aims to (1) evaluate the parameters affecting slope stability, (2) determine rainfall characteristics affecting slope, and (3) evaluate the performance

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Fatawa, Muhammad Ihsan, Edi Santosa, Dhika Prita Hapsari, and Krisantini. "Climate change and its adaptation strategies on tea plantation in West Java, Indonesia." Indonesian Journal of Agronomy 51, no. 2 (2023): 257–68. http://dx.doi.org/10.24831/ija.v51i2.47081.

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Climate change, i.e., changing rainfall refers to drought and excess rainfall, is known to affect the growth and yield of tea production in many regions. However, research on the impact of climate change on tea plantations in Indonesia is still limited. The study aimed to evaluate the impact of changing rainfall on the productivity of tea plantation at Cianjur, West Java. The data was collected from interviews, field data, and company records from April to July 2022. The results showed that changing rainfall of both limited rainfalls during El Nino and excess rainfall during La Nina affected t

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4

Minea, Gabriel, and Gabriela Ioana-Toroimac. "Land use impact on overland flow: micro-scale field experimental analysis." Journal of Water and Land Development 29, no. 1 (2016): 67–74. http://dx.doi.org/10.1515/jwld-2016-0013.

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Abstract The objective of this paper was to experimentally investigate the hydrological effect of land use on overland flow at micro-scale. The research was based on field experiments made with stationary and expeditionary measurements on runoff plots. Plots are located in the Curvature Subcarpathians, form part of the Aldeni Experimental Basin (Romania) and cover an area of 80 m2. The land is covered with perennial grass and bare soil. The experiments in this field were performed under natural and simulated rainfalls. The plots data (rainfall and discharges) obtained during the experiments co

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SEETHARAM, K. "Impact of Madden-Julian oscillations on the Indian summer monsoon sub-divisional rainfalls." MAUSAM 59, no. 2 (2021): 195–210. http://dx.doi.org/10.54302/mausam.v59i2.1251.

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Indian summer monsoon rainfall exhibits inter-seasonal variations in the time scales of 2-7 years which are linked to quasi-biennial oscillations and El nino-Southern Oscillation phenomenon and also intra-seasonal variations in the time-scale of 30-60 days which are linked to activity of MJO which emerged as a dominant mode of intra-seasonal oscillations of Indian summer monsoon rainfall in addition to the other modes of low frequency oscillations. In this scenario, the inter and intra seasonal variability of 29 meteorological sub-divisional rainfalls has been investigated by correlating the M

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6

Tunas, I. G., H. Azikin, and G. M. Oka. "Impact of Extreme Rainfall on Flood Hydrographs." IOP Conference Series: Earth and Environmental Science 884, no. 1 (2021): 012018. http://dx.doi.org/10.1088/1755-1315/884/1/012018.

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Abstract Extreme rainfall is the main factor triggering flooding in various regions of the world including Indonesia. The increase in intensity and duration of current extreme rainfall is predicted as a result of global climate change. This paper aims to analyze the impact of extreme rainfall to the peak discharge of flood hydrographs at a watershed outlet in Palu, Sulawesi, Indonesia. Maximum daily rainfall data for the period 1990-1999 recorded at the Palu Meteorological Station, Central Sulawesi were selected using the Annual Maximum Series Method, and grouped into two types. Type I is the

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7

Yu, Yang, Keisuke Kojima, Kyoungjin An, and Hiroaki Furumai. "Cluster analysis for characterization of rainfalls and CSO behaviours in an urban drainage area of Tokyo." Water Science and Technology 68, no. 3 (2013): 544–51. http://dx.doi.org/10.2166/wst.2013.253.

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Combined sewer overflow (CSO) from urban areas is recognized as a major pollutant source to the receiving waters during wet weather. This study attempts to categorize rainfall events and corresponding CSO behaviours to reveal the relationship between rainfall patterns and CSO behaviours in the Shingashi urban drainage areas of Tokyo, Japan where complete service by a combined sewer system (CSS) and CSO often takes place. In addition, outfalls based on their annual overflow behaviours were characterized for effective storm water management. All 117 rainfall events recorded in 2007 were simulate

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8

Vemula, Swathi, K. Srinivasa Raju, and S. Sai Veena. "Modelling impact of future climate and land use land cover on flood vulnerability for policy support – Hyderabad, India." Water Policy 22, no. 5 (2020): 733–47. http://dx.doi.org/10.2166/wp.2020.106.

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Abstract The study analyses the impact of climate change and land use land cover (LULC) on runoff of Hyderabad city, India for the years 1995, 2005, 2016 and 2031. Flood vulnerability was evaluated for extreme historic and future rainfall events. Maximum daily rainfalls of 132, 181 and 165 mm that occurred in the decades of 1990–2000, 2001–2010 and 2011–2016 were considered for historic rainfall–runoff modelling. Complementarily in climate change, maximum daily rainfall of 266 mm predicted during 2020–2040 by Geophysical Fluid Dynamics Laboratory-Coupled Model 3 (GFDL-CM3) Representative Conce

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9

Mondal, M. Shahjahan, Sara Nowreen, and Mostofa Najmus Sakib. "Scale-Dependent Reliability of Projected Rainfalls over Bangladesh with the PRECIS Model." Climate 8, no. 2 (2020): 20. http://dx.doi.org/10.3390/cli8020020.

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The regional climate model, Providing REgional Climates for Impact Studies (PRECIS), has been widely used throughout the world to generate climate change projections for impact studies and adaptations. Its recent application in South Asia also includes the projection of rainfall extremes. In spite of its wide application, a stringent validation of the model is yet to be reported. In this study, we assessed the performance of the model in simulating annual, monthly and extreme rainfalls over Bangladesh by using a number of statistical techniques, e.g., pattern (both spatial and temporal) correl

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10

Chumchean, Siriluk, Ashish Sharma, and Alan Seed. "Radar rainfall error variance and its impact on radar rainfall calibration." Physics and Chemistry of the Earth, Parts A/B/C 28, no. 1-3 (2003): 27–39. http://dx.doi.org/10.1016/s1474-7065(03)00005-6.

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Al Saji, M., J. J. O'Sullivan, and A. O'Connor. "Design impact and significance of non-stationarity of variance in extreme rainfall." Proceedings of the International Association of Hydrological Sciences 371 (June 12, 2015): 117–23. http://dx.doi.org/10.5194/piahs-371-117-2015.

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Abstract. Stationarity in hydro-meteorological records is often investigated through an assessment of the mean value of the tested parameter. This is arguably insufficient for capturing fully the non-stationarity signal, and parameter variance is an equally important indicator. This study applied the Mann-Kendall linear and Mann-Whitney-Wilcoxon step change trend detection techniques to investigate the changes in the mean and variance of annual maximum daily rainfalls at eight stations in Dublin, Ireland, where long and high quality daily rainfall records were available. The eight stations are

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12

Vilayvong, K., N. Yasufuku, and R. Ishikura. "Evaluation of rainfall erosivity and impact forces using strain gauges." Lowland Technology International 17, no. 4 (2016): 207–17. http://dx.doi.org/10.14247/lti.17.4_207.

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Unum, Godwin, S. Terna, and E. Robert. "THE IMPACT OF FLOODING ON HOUSING DEVELOPMENT IN MAKURDI TOWN, BENUE STATE, NIGERIA." PLASU Journal of Environment Sciences 1, no. 1 (2025): 51–65. https://doi.org/10.5281/zenodo.14983908.

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ABSTRACT Flooding is a persistent challenge in Makurdi, disrupting housing stability and urban development. This study examines the relationship between socio-economic factors, urban infrastructure, and flood risks, focusing on their impact on housing development in Makurdi, Benue State, Nigeria. Data were collected through field surveys in flood-prone areas, including Wurukum, High Level, Wadata, Modern Market, and North Bank, and analysed using Chi-square tests, regression, spatial, and trend analyses. Additionally, rainfall data from 2000 to 2010 were assessed to understand its correlation

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14

Kalaivani, A. S., and M. Ramesh. "Rainfall and Its Impact on Maize Yield." International Review of Business and Economics 1, no. 3 (2018): 104–6. http://dx.doi.org/10.56902/irbe.2018.1.3.30.

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The present study is to analyze the impact of rainfall on maize yield in Cuddalore district based on ten years data (2005-2006 to 2014- 2015). The study conducted with the objective of relationship between area, production, actual rainfall, and maize yield in the study area. The results of the study reveal that actual rainfall adversely affects maize productivity, while the effect of actual rainfall is maximum negative and no significant for maize crops.

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15

Xie, Zongxu, Hanbo Yang, Huafang Lv, and Qingfang Hu. "Seasonal Characteristics of Disdrometer-Observed Raindrop Size Distributions and Their Applications on Radar Calibration and Erosion Mechanism in a Semi-Arid Area of China." Remote Sensing 12, no. 2 (2020): 262. http://dx.doi.org/10.3390/rs12020262.

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Raindrop size distributions (DSDs) are the microphysical characteristics of raindrop spectra. Rainfall characterization is important to: (1) provide information on extreme rate, thus, it has an impact on rainfall related hazard; (2) provide data for indirect observation, model and forecast; (3) calibrate and validate the parameters in radar reflectivity-rainfall intensity (Z-R) relationships (quantitative estimate precipitation, QPE) and the mechanism of precipitation erosivity. In this study, the one-year datasets of raindrop spectra were measured by an OTT Parsivel-2 Disdrometer placed in Yu

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16

Johannsen, Lisbeth Lolk, Nives Zambon, Peter Strauss, et al. "Impact of Disdrometer Types on Rainfall Erosivity Estimation." Water 12, no. 4 (2020): 963. http://dx.doi.org/10.3390/w12040963.

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Soil erosion by water is affected by the rainfall erosivity, which controls the initial detachment and mobilization of soil particles. Rainfall erosivity is expressed through the rainfall intensity (I) and the rainfall kinetic energy (KE). KE–I relationships are an important tool for rainfall erosivity estimation, when direct measurement of KE is not possible. However, the rainfall erosivity estimation varies depending on the chosen KE–I relationship, as the development of KE–I relationships is affected by the measurement method, geographical rainfall patterns and data handling. This study inv

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17

Du, Yu, Ting Xu, Yuzhang Che, et al. "Uncertainty Quantification of WRF Model for Rainfall Prediction over the Sichuan Basin, China." Atmosphere 13, no. 5 (2022): 838. http://dx.doi.org/10.3390/atmos13050838.

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The mesoscale Weather Research and Forecasting (WRF) model has been widely employed to forecast day-ahead rainfalls. However, the deterministic predictions from the WRF model incorporate relatively large errors due to numerical discretization, inaccuracies in initial/boundary conditions and parameterizations, etc. Among them, the uncertainties in parameterization schemes have a huge impact on the forecasting skill of rainfalls, especially over the Sichuan Basin which is located east of the Tibetan Plateau in southwestern China. To figure out the impact of various parameterization schemes and t

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18

Chen, Jian, Yaowei Li, and Shanju Zhang. "Impact of Different Design Rainfall Pattern Peak Factors on Urban Flooding." Water 15, no. 13 (2023): 2468. http://dx.doi.org/10.3390/w15132468.

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In order to investigate the influence of different design rainfall peaks on urban flooding characteristics based on the MIKE hydrodynamic model, the inundation process scenarios were extrapolated for different recurrence periods and three single- and double-peak rainfall types in Zhoukou city as an example, and the equivalent values of total inundation and inundation area were compared and analysed. The results show that bimodal rainfall has a higher risk of inundation than unimodal rainfall for the same rainfall ephemeris and return period. For unimodal rainfall, when the return period is les

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19

Lodder, J., M. A. Van Nierop, E. Van Staden, and S. J. Piketh. "Characterising the impact of rainfall on dustfall rates." Clean Air Journal 26, no. 2 (2016): 28–33. http://dx.doi.org/10.17159/2410-972x/2016/v26n2a10.

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Soil moisture increased the cohesion potential between particles, reducing the ability of the particle to be entrained. Dust suppression techniques are designed to increase soil moisture and therefore soil cohesion through the application of water or water-based chemicals to surfaces that have known potential for dust entrainment. Rainfall has the ability to act as a natural dust suppression mechanism; however, there is a paucity of literature on the actual effectiveness of rainfall in this regard. The ASTM D1739 methods for dustfall monitoring, commonly used in South Africa, and the National

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20

M. R. Savabi and D. E. Stott. "Plant Residue Impact on Rainfall Interception." Transactions of the ASAE 37, no. 4 (1994): 1093–98. http://dx.doi.org/10.13031/2013.28180.

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Kumar, R. Shiva, and Padma Yangchan. "Climate Change Impact on Leh, A Glacier – Reliant Town: Adapative Responses, Impacts, and Solutions." Geographical analysis 10, no. 1 (2021): 17–27. https://doi.org/10.53989/bu.ga.v10i1.4.

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It is an apparent and now well-documented fact that climate change and water cycles are closely interrelated. This study focuses on the effects of climate change on water supplies in the Ladakh region. Snowfall and glacial retention change in groundwater resource levels, unpredictable rainfall patterns, and coping with the resulting water scarcity are the area’s current major problems. The main sources of water are the Himalayan glaciers, streams, springs and hand pumps that draw up water from the groundwater table. Climate change and resultant temperature rise have caused rapid melt water run

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Khosh Bin Ghomash, Shahin, Daniel Bachmann, Daniel Caviedes-Voullième, and Christoph Hinz. "Impact of Rainfall Movement on Flash Flood Response: A Synthetic Study of a Semi-Arid Mountainous Catchment." Water 14, no. 12 (2022): 1844. http://dx.doi.org/10.3390/w14121844.

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Rainfall is a spatiotemporally varied process and key to accurately capturing catchment runoff and determining flood response. Flash flood response of a catchment can be strongly governed by a rainfall’s spatiotemporal variability and is influenced by storm movement which drives a continuous spatiotemporal change throughout a rainfall event. In this work, the sensitivity of runoff and flooded areas to rainfall movement are assessed in the Kan catchment (Iran). The allochthonous nature of floods in the catchment and how they interact with the effects of rainfall movement are investigated. Fifty

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Wu, Lianhui, Kenji Taniguchi, and Yoshimitsu Tajima. "Impact of Climate Change on Flood Hazard at Airports on Pacific Islands: A Case Study of Faleolo International Airport, Samoa." Journal of Disaster Research 16, no. 3 (2021): 351–62. http://dx.doi.org/10.20965/jdr.2021.p0351.

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Climate change is believed to have increased the intensity and frequency of heavy rainfall, and also to have caused sea level rises over this century and beyond. There is widespread concern that small-island nations are particularly vulnerable to increasing risk of inland flood due to such climate change. Understanding the impact of climate change on flood hazard is of great importance for these countries for the development of better protection and adaptation strategies. This study conducted a case study focusing on the impact of climate change on flood hazard at Faleolo International Airport

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Charles, Stephen P., Francis H. S. Chiew, Nicholas J. Potter, Hongxing Zheng, Guobin Fu, and Lu Zhang. "Impact of downscaled rainfall biases on projected runoff changes." Hydrology and Earth System Sciences 24, no. 6 (2020): 2981–97. http://dx.doi.org/10.5194/hess-24-2981-2020.

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Abstract. Realistic projections of changes to daily rainfall frequency and magnitude, at catchment scales, are required to assess the potential impacts of climate change on regional water supply. We show that quantile–quantile mapping (QQM) bias-corrected daily rainfall from dynamically downscaled WRF simulations of current climate produce biased hydrological simulations, in a case study for the state of Victoria, Australia (237 629 km2). While the QQM bias correction can remove bias in daily rainfall distributions at each 10 km × 10 km grid point across Victoria, the GR4J rainfall–runoff mode

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Lv, Wenqiang, Xiuming Liu, and Hu Ding. "Characteristics, Sources, and Mechanisms of Soil Respiration under Simulated Rainfall in a Native Karst Forest in Southwestern China." Forests 15, no. 6 (2024): 945. http://dx.doi.org/10.3390/f15060945.

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Rainfall significantly affects soil respiration rates by altering microbial activity and organic matter decomposition. In karst regions, it also impacts carbonate dissolution and precipitation, further influencing soil CO2 flux. Investigating the mechanism of rainfall’s impact on soil respiration is essential for accurately evaluating and predicting changes in terrestrial ecosystems. However, our understanding of the interaction between rainfall and soil respiration in the extensive karst ecosystems of southwestern China remains limited. This study conducted field-based simulated rainfall expe

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Kleinheinz, Gregory T., Colleen M. McDermott, Sarah Hughes, and Amanda Brown. "Effects of Rainfall onE. coliConcentrations at Door County, Wisconsin Beaches." International Journal of Microbiology 2009 (2009): 1–9. http://dx.doi.org/10.1155/2009/876050.

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Rainfall and its associated storm water runoff have been associated with transport of many pollutants into beach water. Fecal material, from a variety of animals (humans, pets, livestock, and wildlife), can wash into beach water following rainfall and result in microbial contamination of the beach. Many locales around the world issue pre-emptive beach closures associated with rainfall. This study looked at eight beaches located in Door County, Wisconsin, on Lake Michigan to determine the impact of rainfall onE. coliconcentrations in beach water. Water samples were collected from beach water an

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Durukan, Seda. "Evaluation of the Antecedent Saturation and Rainfall Conditions on the Slope Failure Mechanism Triggered by Rainfalls." Applied Sciences 14, no. 20 (2024): 9478. http://dx.doi.org/10.3390/app14209478.

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The stability analysis of rainfall-induced slope failures considers a number of factors including the characteristics of the rainfall, vegetation, geometry of the slope, unsaturated soil characteristics, infiltration capacity, and saturation degree variations. Amongst all these factors, this study aims to investigate the effects of the antecedent rainfall and saturation conditions. A numerical modeling study was conducted using finite difference code software on a representative slope geometry with two different soil types. Two scenarios were followed: The first involved the application of thr

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NGEMA, HELLEN, DANIEL OLAGO, ALFRED OPERE, and SILAS ORIASO. "ASSESSMENT OF RAINFALL IMPACT ON GROUNDWATER VULNERABILITY FOR AGRICULTURAL PRODUCTION." Journal of Engineering in Agriculture and the Environment 10, no. 1 (2024): 1–8. http://dx.doi.org/10.37017/jeae-volume10-no1.2024-4.

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The research study was conducted in Northern Lake Victoria basin to assess rainfall impact on groundwater as a fresh water source on 30 farms for agricultural production. Depth Aquifer Recharge and Transmissivity (DART) index quantitative method was applied that revealed that rainfall was directly related to groundwater vulnerability index. Positive DART index was realized during long rainfall season between April and June, and during short rainfall season in September and October. The other months had negative values during dry season. DART indices ranged between -8.40 and 2.50 with positive

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Patel, Gaurav, Rajib Das, Subhasish Das, and Indranil Mukherjee. "Innovative trend analysis of long-term rainfall variation over West Bengal, India." MAUSAM 76, no. 2 (2025): 373–86. https://doi.org/10.54302/mausam.v76i2.6136.

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This study uses 115 years’ gridded rainfall data from 121 gauge stations to observe long-term changes in annual and seasonal rainfall in the entire West Bengal, India. The significance and amplitude of these changes and overall trends are assessed with the use of such gridded data for the period from 1901 to 2015 collected from the India Meteorological Department, by applying innovative trend analysis. According to the findings of the study, rainfall in the study area decreases significantly during the winter season and pre-monsoon season, while increases significantly during the monsoon seaso

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Tafoughalti, K., E. M. El Faleh, Y. Moujahid, and F. Ouargaga. "Climate Change Impact on Rainfall: How will Threaten Wheat Yield?" E3S Web of Conferences 37 (2018): 03001. http://dx.doi.org/10.1051/e3sconf/20183703001.

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Climate change has a significant impact on the environmental condition of the agricultural region. Meknes has an agrarian economy and wheat production is of paramount importance. As most arable area are under rainfed system, Meknes is one of the sensitive regions to rainfall variability and consequently to climate change. Therefore, the use of changes in rainfall is vital for detecting the influence of climate system on agricultural productivity. This article identifies rainfall temporal variability and its impact on wheat yields. We used monthly rainfall records for three decades and wheat yi

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Dai, Qiang, Qiqi Yang, Jun Zhang, and Shuliang Zhang. "Impact of Gauge Representative Error on a Radar Rainfall Uncertainty Model." Journal of Applied Meteorology and Climatology 57, no. 12 (2018): 2769–87. http://dx.doi.org/10.1175/jamc-d-17-0272.1.

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AbstractIn modeling the radar rainfall uncertainty, rain gauge measurement is generally regarded as the areal “true” rainfall. However, the inconsistent scales between radar and gauge may introduce a new uncertainty (also known as gauge representative uncertainty), which is erroneously identified as radar rainfall uncertainty and therefore called pseudouncertainty. It is crucial to comprehend what percentage of the estimated radar rainfall uncertainty actually stems from such pseudouncertainty rather than radar rainfall itself. For this reason, based on a fully formulated radar rainfall uncert

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Vidas, Marijo, Vladan Tubić, Ivan Ivanović, and Marko Subotić. "One Approach to Quantifying Rainfall Impact on the Traffic Flow of a Specific Freeway Segment." Sustainability 14, no. 9 (2022): 4985. http://dx.doi.org/10.3390/su14094985.

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Spatial constraints in urban areas very often lead to the application of traffic management measures to meet transport demands. Accordingly, it is very important to identify all potential impacts that could lead to reductions in the street network’s capacity. One such impact is weather conditions. The main motivation of this research is to analyze the impacts of rainfall on one of the most important segments of Belgrade’s street network that represents part of a freeway passing the city center. Our focus is on quantifying the impact of rainfall on speed and capacity. This paper proposes a new

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Allen, Theodore L., Scott Curtis, and Douglas W. Gamble. "The Midsummer Dry Spell’s Impact on Vegetation in Jamaica." Journal of Applied Meteorology and Climatology 49, no. 7 (2010): 1590–95. http://dx.doi.org/10.1175/2010jamc2422.1.

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Abstract The annual rainfall pattern of the intra-Americas sea reveals a bimodal feature with a minimum during the midsummer known as the midsummer dry spell (MSD). A first attempt is made to examine the impact of the MSD on vegetation through a normalized difference vegetation index (NDVI) analysis in Jamaica. Tropical Rainfall Measuring Mission rainfall estimates and NDVI derived from the Terra Moderate Resolution Imaging Spectroradiometer highlight a consistent MSD feature in both rainfall and vegetative vigor. Spatial variation of this MSD NDVI response is evident throughout Jamaica, with

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Tanteliniaina, Mirindra Finaritra Rabezanahary, Jia Chen, Tanveer M. Adyel, and Jun Zhai. "Elevation Dependence of the Impact of Global Warming on Rainfall Variations in a Tropical Island." Water 12, no. 12 (2020): 3582. http://dx.doi.org/10.3390/w12123582.

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Due to their vulnerability, understanding the impacts of global warming on rainfall is important for a tropical country and islands. This research aimed to assess the impact of global warming on rainfall in Madagascar, using the Mann-Kendall test, continuous wavelet transform, and polynomial regression. The result showed that the annual, seasonal maximum, and minimum temperature increased, while elevation amplified the increase of maximum temperature. Different trends in rainfall were found in the 22 regions of Madagascar but in general, the increasing trend in rainfall was prominent at a high

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Johnson, K. A., J. C. Smithers, and R. E. Schulze. "A review of methods to account for impacts of non-stationary climate data on extreme rainfalls for design rainfall estimation in South Africa." Journal of the South African Institution of Civil Engineering 63, no. 3 (2021): 1–7. http://dx.doi.org/10.17159/2309-8775/2021/v63n3a5.

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Frequency analysis of extreme rainfall and flood events are used to determine design rainfalls and design floods which are needed to design hydraulic structures such as dams, spillways and culverts. Standard methods for frequency analysis of extreme events are based on the assumption of a stationary climate. However, this assumption in rainfall and flood frequency analysis is being challenged with growing evidence of climate change. As a consequence of a changing climate, the frequency and magnitude of extreme rainfall events are reported to have increased in parts of South Africa, and these a

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Valles, Jose, Gerald Corzo, and Dimitri Solomatine. "Impact of the Mean Areal Rainfall Calculation on a Modular Rainfall-Runoff Model." Journal of Marine Science and Engineering 8, no. 12 (2020): 980. http://dx.doi.org/10.3390/jmse8120980.

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Hydrological models are based on the relationship between rainfall and discharge, which means that a poor representation of rainfall produces a poor streamflow result. Typically, a poor representation of rainfall input is produced by a gauge network that is not able to capture the rainfall event. The main objective of this study is to evaluate the impact of the mean areal rainfall on a modular rainfall-runoff model. These types of models are based on the divide-and-conquer approach and two specialized hydrological models for high and low regimes were built and then combined to form a committee

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Cai, Wenju, Peter van Rensch, Tim Cowan, and Arnold Sullivan. "Asymmetry in ENSO Teleconnection with Regional Rainfall, Its Multidecadal Variability, and Impact." Journal of Climate 23, no. 18 (2010): 4944–55. http://dx.doi.org/10.1175/2010jcli3501.1.

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Abstract An asymmetry, and its multidecadal variability, in a rainfall teleconnection with the El Niño–Southern Oscillation (ENSO) are described. Further, the breakdown of this relationship since 1980 is offered as a cause for a rainfall reduction in an ENSO-affected region, southeast Queensland (SEQ). There, austral summer rainfall has been declining since around the 1980s, but the associated process is not understood. It is demonstrated that the rainfall reduction is not simulated by the majority of current climate models forced with anthropogenic forcing factors. Examination shows that ENSO

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Srivastava, Aviral. "AI Based Model for Prediction of Heavy/High Impact Rain Events." International Scientific Journal of Engineering and Management 03, no. 05 (2024): 1–9. http://dx.doi.org/10.55041/isjem01758.

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India is a farming country whose economy is heavily reliant on the development of rainforests. In order to analyse agricultural yields, rainfall estimates are essential and fundamental for all ranchers. The ability to predict the climate with the aid of science and innovation is unsurprising rainfall. To effectively use water resources, horticulture production, and water arranging, it is important to determine the amount of rainfall. Rainfall can be predicted using a variety of information mining techniques. The process of information extraction is used to evaluate rainfall. Probably the most

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Sharma, Ashish, and Huei-Ping Huang. "Regional Climate Simulation for Arizona: Impact of Resolution on Precipitation." Advances in Meteorology 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/505726.

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This study performs regional climate simulations for Arizona, a region with complicated terrain. The dependence of simulated rainfall on model resolution is explore by climate downscaling experiments using the Weather Research and Forecasting model. The model’s horizontal resolution was refined from 12 to 6, then to 3 km. The total rainfall for winter and for different subdomains of Arizona is found to increase substantially with the refinement from 12 to 6 km grid. A further refinement to 3 km leads to a smaller change in rainfall, indicating numerical convergence at that scale. Comparisons w

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Talekar, P. R. "Rainfall and Tempature: The Most Important Components Of Natural Environment With Reference To Indian Climate." International Journal of Advance and Applied Research 5, no. 13 (2024): 69–71. https://doi.org/10.5281/zenodo.11259485.

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Rainfall and temperature are the most effective and powerful aspects of our natural environment. These components have a complicated impact on soil formation, natural vegetation, flora and fauna, biodiversity, and, eventually, human economic activities and vocations. Rainfall and temperature in the area are two factors that contribute significantly to the natural environment that we live in. There is a correlation between these factors and the style of life of the people who live in a certain place. Even the surface of the ground is altered to a significant degree as a result of the interactio

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Vantas, Konstantinos, Epaminondas Sidiropoulos, and Athanasios Loukas. "Robustness Spatiotemporal Clustering and Trend Detection of Rainfall Erosivity Density in Greece." Water 11, no. 5 (2019): 1050. http://dx.doi.org/10.3390/w11051050.

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Soil erosion is affected by rainfall, among other factors, and it is likely to increase in the future due to climate change impacts, resulting in higher rainfall intensities. This paper evaluates the impact of the missing values ratio on the computation of the rainfall erosivity factor, R, and erosivity density, ED. The paper also investigates the temporal trends and defines regions of Greece with a similar monthly distribution of ED using an unsupervised method. Preprocessed and free from noise and errors rainfall data from 108 stations across Greece were extracted from the Greek National Ban

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SINGH, BHIM, JITENDRA SINGH, PRERAK BHATNAGAR, and VK UPADHYAY. "Impact of rainfall variability on fruit production in Jhalawar district of Rajasthan." MAUSAM 65, no. 2 (2014): 245–52. http://dx.doi.org/10.54302/mausam.v65i2.985.

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The objective of this study was to analyze the rainfall variability and trend, and examine vulnerability of fruits production to rainfall variability in Jhalawar district of Rajasthan. A time series data were used to carry out a comprehensive study of the effect of rainfall variability on fruit crops. It was observed that inter-annual and seasonal variabilities of rainfall were major cause of fluctuations in production of fruits in the study area. The district had 910 mm average rainfall with a standard deviation of 218 mm and coefficient of variation of 24 per cent. The annual rainfall as evi

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Seprima, Melani, and Defrianto Defrianto. "PREDIKSI CURAH HUJAN DAN KELEMBABAN UDARA KOTA PEKANBARU MENGGUNAKAN METODE MONTE CARLO." Komunikasi Fisika Indonesia 17, no. 3 (2020): 134. http://dx.doi.org/10.31258/jkfi.17.3.134-138.

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Weather prediction is important in our lives and can minimize the impact that will occur in the future. Rainfaal and humidity greatly affect the weather conditions in Indonesia. Accuracy in the prediction of rainfall and humidity is very important because it can be used in various interests. The data used are the monthly average data of rainfall and humidity in the city of Pekanbaru in 2014–2018 obtained from BMKG Pekanbaru, then the monthly average data will be processed using a MATLAB R2015a based program so that an average rainfall prediction simulation is obtained and air humidity in 2019–

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Chen, Rong, Lingjia Liu, and Yongping Gao. "The Association between Rainfall and Taxi Travel Activities: A Case Study from Wuhan, China." Journal of Advanced Transportation 2024 (May 23, 2024): 1–18. http://dx.doi.org/10.1155/2024/1404168.

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Rainfall has a significant impact on urban population mobility, posing great challenges to traffic management and urban planning. An understanding of this influence from multiple perspectives is urgently needed. In this study, we devised a multiscale comparative research framework to explore the spatiotemporal effects of rainfall on taxi travel patterns, aiming to provide a new perspective on the investigation of rainfall’s impact on urban human mobility. More specifically, at the macroscopic scale, we computed taxi travel indicators across the entire study area and used kernel density estimat

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Wu, Xiyuan, Xingxiu Yu, Yujiao Gao, and Guirong Wang. "Different Impacts of Rainfall Intensity on Surface Runoff and Sediment Loss between Huang-mian Soil and Brown Soil." Journal of Environmental Science and Management 20, no. 2 (2017): 1–8. http://dx.doi.org/10.47125/jesam/2017_2/01.

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Huang-mian soil and brown soil are typical soils in Loess Plateau and Yimeng mountainous area, respectively. The differences of surface runoff and sediment loss between the two soils are important to special environmental protection management in two areas. In order to study the impacts of rainfall intensity on surface runoff and sediment from Huang-mian soil and brown soil, four simulated rainfalls were applied on fields with different soils on a laboratory scale. Huang-mian soil under 60×10-3 m hr-1 had the shortest runoff occurrence time, while brown soil under 30×10-3 m hr-1had the longest

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Aldrees, A. "Climatic impact on Rainfall Analysis in Al-Madinah Munawwara Region." IOP Conference Series: Earth and Environmental Science 1026, no. 1 (2022): 012032. http://dx.doi.org/10.1088/1755-1315/1026/1/012032.

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Abstract Long-term changes in temperature and weather patterns are referred to as climate change. Climate change and rainfall distribution are inextricably linked to arid and semi-arid regions. Saudi Arabia is entirely located in arid and semi-arid areas, and the arid climate that covers the majority of Saudi Arabia is typically characterized by large temporal and spatial variations in rainfall distribution. The availability of long-term rainfall depth records would be beneficial for studying the impact of climate change. This study aimed to assess the impact of climate change on rainfall anal

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Akintola, Olayiwola A., Samuel O. Akande, Obianuju C. Emmanuel, Opeyemi S. Sajo, Ayoola O. Oluwadare, and Olabanji O. Olajire. "Impact of Climate Change on Rainfall Erosivity in Nigeria." FUOYE Journal of Engineering and Technology 9, no. 2 (2024): 164–69. http://dx.doi.org/10.4314/fuoyejet.v9i2.3.

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Nigeria, like many other countries, is vulnerable to the effects of climate change. This study investigated the effects of climate change on rainfall erosivity in Nigeria. Changes in rainfall patterns, such as increased intensity or duration, can significantly affect erosivity. In this study, rainfall data spanning a period of 62 years, obtained from the website archive of the Climate Research Unit-Time Series v4.3 (CRU-TS v4.3) from the University of East Anglia, United Kingdom, were used to compute rainfall erosivity indices for 46 selected stations in Nigeria, across five agroecological zon

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Ahire, Mr. Dhanraj Kalu. "Assessing the Impact of Rainfall Intensity on Well Density in Nashik District: A Geographical Perspective." International Journal of Advance and Applied Research 5, no. 27 (2024): 27–29. https://doi.org/10.5281/zenodo.13856720.

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The present investigation aims to conduct a geographical analysis of the impact of rainfall intensity on well density in the Nashik district. The study is primarily based on secondary data from the Socio-Economic Abstract of the Nashik District, 2023. This paper comprehensively analyzes rainfall distribution, rainfall intensity, well density, and their correlation within the study region. The research applies the rainfall intensity method, the well density method, and the Pearson correlation coefficient technique. The findings indicate that rainfall distribution in the Nashik district decrease

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Tuyls, Damian Murla, Søren Thorndahl, and Michael R. Rasmussen. "Return period assessment of urban pluvial floods through modelling of rainfall–flood response." Journal of Hydroinformatics 20, no. 4 (2018): 829–45. http://dx.doi.org/10.2166/hydro.2018.133.

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Abstract Intense rainfall in urban areas can often generate severe flood impacts. Consequently, it is crucial to design systems to minimize potential flood damages. Traditional, simple design of urban drainage systems assumes agreement between rainfall return period and its consequent flood return period; however, this does not always apply. Hydraulic infrastructures found in urban drainage systems can increase system heterogeneity and perturb the impact of severe rainfall response. In this study, a surface flood return period assessment was carried out at Lystrup (Denmark), which has received

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Fajriani, Qonaah Rizqi, Khoirunnisa Ulya Nur Utari, and Ria Nurulita. "The Impact of Dam Reservoir on Flood Reduction (Case Study Logung Reservoir, Kudus, Central Java)." INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur 18, no. 2 (2022): 104–12. http://dx.doi.org/10.21831/inersia.v18i2.55409.

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The Indonesian government targeted building 65 reservoirs and dams in 2015-2022. The purpose is to maintain food security facing the long-term climate crisis, besides reducing the impact of a flood. Logung Reservoir is located on the Logung River, Kudus, Central Java. This earth-fill dam was built to solve the flood and drought problems in Kudus. However, the existence of the Logung Reservoir gives a risk to the downsteam area. The purpose of this research is to study flood reduction and the risk of overtopping, which can cause a dam break, and to calculate the Logung Reservoir spillway's perf

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