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64 results for “rainfall model”
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Research ArticleOpen accessEvery word in the titleEffect of Covers and Rainfall on Soil and Water Conservation Using a Tilting Flume ModelS. Compliew, L. Suwanchai, N. KrongwiengThe effect of stone and vegetative covers was evaluated for soil and water conservation in a waterway on salty soils in the Northeast of Thailand. Experiments were conducted on a hydraulic tilting flume under simulated unit flow (120 and 45 cm2s-1), rainfall (120 mm/hr) and slope (0, 1.2,1.4,1.6,1.8,2.0, 2.2, 2.4, 2.6, 2.8 and 3.0%) conditions. The depth of soil was … …American Journal of Applied Sciences, Vol. 4, Issue 6 · 30 Jun 2007 · 6,629 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEstimation of Natural and Artificial Recharge of Shahreza Plain Groundwater in Isfahan Using CRD and Hantush ModelsMohsen Nekooei, Jahangir Abedi Koupai, Saeid Eslamian et al.Cumulative Rainfall Departure model (CRD) is widely used for estimation of ground natural recharge. This model is based on the groundwater balance and it requires random parameters. Moreover, an increase in the static level under artificial recharge facility is simulated using diffusion equations. Since Shahreza Plain is located in an arid and semi-arid area and given that rainfall is the … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 2 · 17 Jun 2020 · 6,797 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTrends in Maximum Daily Rainfall in Marginal Desert Environment: Signs of Climate ChangeKhaldoun A. Al-Qudah, Abdullah A. SmadiProblem statement: Change in intense precipitation has been used as an indicator for anticipated climate change. The trend in maximum daily rainfall in 10 rainfall stations distributed in the north and north east of Jordan has been investigated. Based on mean annual rainfall and geographic location, rainfall stations were divided into subhumid, semi-arid and arid stations. Approach: The regression approach … …American Journal of Environmental Sciences, Vol. 7, Issue 4 · 14 Sep 2011 · 7,401 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproved Continuing Losses Estimation Using Initial Loss-Continuing Loss Model for Medium Sized Rural CatchmentsMahbub Ilahee, Monzur Alam ImteazProblem statement: The rainfall based design flood estimation techniques are commonly adopted in hydrological design and require a number of inputs including information on soil loss characteristics. Approach: A conceptual loss model known as the ‘Initial Loss-Continuing Loss (IL-CL) model’ is widely used in Australia. Results: The Initial Loss (IL) occurs at the beginning of the rainfall event, prior to … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,594 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIntegrated Modeling for Flood Hazard Mapping Using Watershed Modeling SystemSeyedeh S. Sadrolashrafi, Thamer A. Mohamed, Ahmad R.B. Mahmud et al.In this stduy, a new framework which integrates the Geographic Information System (GIS) with the Watershed Modeling System (WMS) for flood modeling is developed. It also interconnects the terrain models and the GIS software, with commercial standard hydrological and hydraulic models, including HEC-1, HEC-RAS, etc. The Dez River Basin (about 16213 km2) in Khuzestan province, IRAN, is domain of study … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 2 · 30 Jun 2008 · 10,792 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Crop Yield Detection and Prediction With Multimodal Data Using Fusion TechniquesKutlwano Sedimo, Rajalakshmi Selveraj, Venumadhav Kuthadi, Thulaganyo DimakatsoMost often, soil, environmental, and agronomic data are used in pieces, hence limiting the performance of crop selection and yield forecasting. This study develops an integrated, fusion-based framework that combines soil image classification, environmental feature analysis, and input-driven yield prediction to support precise agricultural decision-making. The system consists of three major modules: (i) a CNN for the classification of soil … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 481 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Rainfall Forecasting Using Sequential Momentum-Based Artificial Neural Networks for Urban Flood ManagementSherin K K, G. SuganthiUrban floods cause severe disruption in densely populated cities and damage essential public infrastructure. Rapid urbanization and weak drainage systems further increase the risk during heavy rainfall. Accurate short-term rainfall forecasting is required to support early warning and reduce losses. This research focuses on improving rainfall prediction accuracy using an Artificial Neural Network trained with a new optimizer named Sequential … …Journal of Computer Science, Vol. 22, Issue 4 · 9 Apr 2026 · 1,539 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Soil Loss Using GIS and RUSLE Model in Bakiya River Basin (BRB), Central NepalSujan Bista, Naresh Kazi Tamrakar, Kishor Rimal, Arju BhattaraiSoil erosion is the major geological hazard in the fragile landscape of Sub-Himalaya. This study examines the susceptibility of the Bakiya River Basin (BRB) in Central Nepal to soil erosion because of its steep topography, fragile geology, the impact of intense monsoon rainfall, and the lack of a direct monitoring mechanism available for rainfall-runoff. This study examines the spatial variations … …Current Research in Geoscience, Vol. 14, Issue 1 · 20 Oct 2025 · 3,384 accessesView PDFCite
Review ArticleOpen accessIn the abstractModeling the Nile: A Comprehensive Water Budget and Flow Assessment with the River Basin Flow Model (RBFM)Youssef Ismail HafezThe Nile River basin, covering 2.9 million km³ across 11countries, is one of the world's most complex hydrological systems. With an annual historical discharge of 84 billion m³ at Aswan, Egypt, and rainfall of around 1,660 billion m³ per year over the Nile basin, effective management of this vital transboundary resource requires a deep understanding of its hydrology. This study … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 18 Jun 2025 · 8,740 accessesView PDFCite