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109 articles for “Climate Data”
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Research ArticleOpen accessIn the keywordsTrends and Multifractal Analyses of Precipitation Data from Shandong Peninsula, ChinaMeng Gao, Xiyong HouProblem statement: Water shortage is a very serious problem in Shandong Peninsula, which is one of the most rapidly developed zone in China. As the major source of water supply is in this area, precipitation is crucial to sustainable development in Shandong Peninsula. The purpose of the present study is to investigate the trend and characteristics of precipitation during the … …American Journal of Environmental Sciences, Vol. 8, Issue 3 · 23 May 2012 · 7,160 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEfficient 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 abstractA Hybrid Machine Learning Approach to Predictive Analytics in Precision Agriculture for Sustainable Crop OptimizationJignesh Kariya, Pankaj MudholkarDriven by data-enabled technologies, precision agriculture is evolving into an innovative way to increase agricultural productivity and sustainability. Conventional agricultural practices face several challenges, such as poor soil quality, inappropriate crop selection, improper resource utilization, and unpredictable climate conditions. To address these limitations, this paper proposes a hybrid machine learning framework for sustainable crop optimization and predictive analysis in precision … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 865 accessesView PDFCite
Research ArticleOpen accessIn the abstractClimate-Driven Productivity Responses and Implications for Genetic Adaptation and Breeding of Boreal Trees in KazakhstanZhadyra Baigazakova, Kuralay Mazarzhanova, Asset Satayev et al.Kazakhstan’s boreal and forest-steppe forests form the southern ecotonal edge of the West Siberian taiga, where relatively small changes in heat and moisture can trigger disproportionate impacts on tree growth, mortality, and regeneration. Although forests cover only ~4% of Kazakhstan, they provide critical ecosystem services: stabilizing hydrological regimes, buffering microclimates, protecting agricultural lands from wind and water erosion, and supporting … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 10 Aug 2026 · 709 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
Research ArticleOpen accessIn the abstractCRISP-DM-Based Mobile Application for Predicting High-Crime Areas in Metropolitan LimaHugo Vega Huerta, Javier Vilca Velasquez, Nicolas Anicama Espinoza et al.The city of Lima, Peru, has been facing a serious climate of citizen security that has risen extremely high in recent years. The objective of this work is to identify and predict areas of high crime incidence through a mobile application based on historical data on criminal incidents recorded by users. The mobile application has been implemented using the CRISP-DM … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,972 accessesView PDFCite
Research ArticleOpen accessIn the abstractClimate Adaptive Measures Among Smallholder Farmers in Akwa Ibom State, NigeriaObot Akaninyene, Obiekwe NgoziAgricultural production/activities in Nigeria depends on rainfall, which often occurs only at certain times of the year and thus makes agriculture very susceptible to crop failure, insect infestation which causes poor returns on agricultural produce for farmers . Adoption of climate change mitigating strategies is key to coping with variations in weather conditions and the achievement of increased agricultural production … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 19 Sep 2022 · 6,261 accessesView PDFCite
Research ArticleOpen accessIn the abstractDouble Diffusive Convection Heat and Moisture Transfer Inside a Planted Roof Building Under Hot-Humid Climate: Case of Lomé City in West AfricaHodo-Abalo Samah, Magolmèèna Banna, Belkacem ZeghmatiPlanted roofs have been investigated as a passive cooling technology for energy efficiency purposes in buildings. More quantitative data on this topic are required to solve a lack of information for many specific regions. This study is focused on a numerical investigation of the thermal comfort inside a green roof rectangular ventilated cavity in a hot and humid climate like … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 7 Feb 2022 · 6,993 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigation of Landform and Sunlight in Zayandeh Roud BasinKaveh Ostad-Ali-Askari, Maryam Marani-BarzaniSolar energy is as of energy that it is significant in human activities. Human activities can use in agricultures, factories, industrial and residential plan. In other hand, solar energy is as renewable energy can help to have safety environment. This study tries to say significant of identification of landforms and getting cheap and safe energy. In this study, classification of … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 4 · 15 Dec 2021 · 5,880 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDFCite