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15 articles for “Meteorological factors”
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Estimation of Stratospheric Ozone Concentration over Southern Nigeria using Neural Network: Case Study of Lagos and Port Harcourt
Abstract: The neural network model was developed to estimate the stratospheric ozone concentrations along with some meteorological parameters. The neural network was trained using monthly maximum data provided by Nigerian Meteorological Agency (NIMET) and National Aeronautics and Space Administration (NASA) over a period of 43year (1970-2012) in the towns of Lagos and Port Harcourt Ozone concentration from the two stations was estimated using a surface meteorological variable as predictors for the …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 1, 2019 · pp. 4–9 Read article
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Evaporation estimation using multilayer neural network – A case study for Chhattisgarh plains
Abstract: Evaporation being one of the most important components of the hydrological cycle, it is important to know its relationship with other climatic factors for developing strategies for effective water resource management especially for agricultural purposes. There are few direct and indirect methods in practice for the measurement or computation of evaporation losses. This study is conducted to demonstrate the ability of multilayer neural network (MLNN) with back propagation weight update …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 89–97 Read article
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Impact of Fungal Spores and Pollen Grains Present in the Atmosphere of Rui-Chhattisi, Taluka & District Ahmednagar, Maharashtra, India
Abstract: AbstractThe present investigation deals with the study of aerospora at Rui-Chhattisi. The observations were done during the two seasons (rainy and winter) with the help of volumetric tilak air sampler. During the investigation of winter and rainy seasons, some fungal spores and pollen grains which are having adverse effect on human beings and plants were studied. The dominant allergic fungal spores are Aspergillus, Penicillium, Curvularia, Cladosporium, Fusarium and Alternaria and …
Published in Research & Reviews : Journal of Ecology · Vol. 5, Issue 2, 2016 · pp. 28–32 Read article
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A MODEL TO PREDICT ANGULAR PHASE SHIFT BETWEEN WIND AND WAVES FOR FLOATING OFFSHORE WIND TURBINE APPLICATIONS
Abstract: This paper develops a model to predict angular phase shift between wind and waves that can be applied to floating offshore wind turbines. A theoretical simulation, developed in MATLAB program, has been run using non-linear effects that have led to specific algorithms based on matrix development of wind and waves direction. The modelling uses a random generator to create the wind and wave direction on the basis that the angular …
Published in Journal of Offshore Structure and Technology · Vol. 10, Issue 1, 2023 · pp. 1–12 Read article
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Tropospheric Variation of Point Refractivity Gradient and Geo-climatic Factor over a Coastal Location in Tropical Nigeria
Abstract: Accurate assessment of refractivity gradient and Geo-climatic factor is crucial for maintaining reliable radio signal propagation in clear-air environments. These parameters are essential for determining the fade margin necessary to ensure a stable and effective wireless radio link, given the unstable nature of the atmosphere through which the signals travel. It is crucial to have accurate knowledge of these characteristics, particularly at microwave antenna heights of around 70 meters, in …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 28–42 Read article
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Avalanche Hazard Mapping along Manali-patsio Road Axis (Himachal Pradesh, India) Using Advanced Geo-Informatics Techniques
Abstract: Avalanche occurrence is quite a hazardous and unpredictable natural phenomenon. A large number of factors that are associated with its occurrence make it quite difficult to assess hazard in hilly areas. There are two main groups of variables that define the avalanche hazard – meteorological conditions and terrain characteristics. Due to the stable nature along the time, terrain parameters are easier to map. The purpose of this work is to …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 1, 2012 · pp. 1–10 Read article
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DTM Generation and Avalanche Hazard Mapping using Large Format Digital Photogrammetric Data and Geomatics Technique
Abstract: The main objective of the study is Digital Terrain Model (DTM) generation from aerial photogrammetric data and identify and map the potential avalanche prone zones in Manali region. Avalanche is a dynamic hazardous phenomenon in the snow-bound mountainous terrain. Mapping of avalanche prone terrain is crucial to minimize the avalanche hazard. Nowadays, airborne data capturing technology, such as large-format Photogrammetry, has opened new vistas for the mapping of complex and …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 2, 2013 · pp. 4–13 Read article
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Soil Erosion and Sediment Export in Berta Watershed Using GIS and USLE Model in Central Rift Valley Basin, Ethiopia: Implications for Sustainable Natural Resources Management
Abstract: Soil erosion and sedimentation of lake due to runoff is a major problem in Southern Ethiopia. Berta watershed is one of the watersheds in Rift valley Basin, contributing runoff to small Abaya (Tuffa) lake. However, no studies have been conducted on soil erosion and sediment yield from the entire watershed. Therefore, an updated Universal Soil Loss Model and Geographic Information System have been used to start the current study, which …
Published in Research & Reviews : Journal of Ecology · Vol. 12, Issue 1, 2023 · pp. 12–25 Read article
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Assessment of a Wind Energy Conversion System for Sustainable Hydrogen Production by Alkaline Water Electrolysis in India: Effect of Geographical Location and Wind Turbine Type
Abstract: The use of wind energy for electricity generation and use of this electricity for hydrogen production by alkaline water electrolysis promises to be a truly sustainable scheme for the postulated hydrogen economy. This work addresses the feasibility assessment of a standalone wind energy based turbine generator system that meets the energy requirements of the electrolysis process at several locations in India. Energy requirement for electrolysis depends on the hydrogen production …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 2, 2017 · pp. 5–22 Read article
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Modelling of Flood in Lagos using Artificial Neural Network
Abstract: Flooding events have caused havoc to live and properties in recent times. Flooding could be caused by several factors some of which are rainfall, temperature, and relative humidity, which lead to rise in water level. The method of artificial neural networks (ANN) was used in this work to model flood occurrence in Lagos, Nigeria. Meteorological data were collected from the Nigeria Meteorological Agency (NIMET) and Nigeria Hydrological survey Agency (NHSA) …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 7, Issue 2, 2018 · pp. 50–57 Read article
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NodeMCU in IoT-Based Weather forecasting and surveillance: A Review of Applications and Future
Abstract: A weather monitoring gadget uses various sensors to gather meteorological and environmental data.Two categories of weather monitoring exist. One which has inbuilt sensors, and the second type ofweather monitoring is where the data is extracted from the weather station servers. Because the weathervaries daily based on external factors, it is imperative to monitor the surrounding conditions. Thephysical and mental well-being of humans is greatly influenced by the weather. Thus, the …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 12, Issue 2, 2023 · pp. 13–20 Read article
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Climate Change and Urban Heat Islands in India: A Review Across Nine Urban Agglomerations
Abstract: Since 1901, anthropogenic climate change has raised India's mean surface temperatures by about 0.9°C, compounding warming. Rapid urbanization creates persistent Urban Heat Islands (UHIs), making cities dangerously hotter than rural areas. A combination of these forces presents acute thermal hazards to hundreds of millions of urban dwellers. The paper discusses the emergence and intensification of UHI in nine large Indian cities (Delhi-NCR, Ahmedabad, Chennai, Hyderabad, Kolkata, Pune, Bengaluru, Mumbai, and …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 19–34 Read article
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Rainfall-runoff Modeling using HEC-HMS Hydrologic Model for Guder River Watershed, Blue Nile Basin, Ethiopia
Abstract: Rainfall-runoff modeling is important for a number of hydrologic applications including flood forecasting, water resource planning and management. This study presents the result of a watershed rainfall-runoff modeling for Guder river watershed having area of 6597 km 2 using Hydrologic Engineering Center-Hydrologic Modeling Systems (HEC-HMS). The watershed runoff is varying spatially and temporally due to manmade factors and natural factors on the watershed. These issue needs efficient water resource planning …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 62–77 Read article
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IoT and ML Solution to Allergic Rhinitis
Abstract: In this project a preventive rehabilitation is proposed for allergy patients using neural networks, IoT and the newly emerged blockchain technology. A wearable device which senses temperature, humidity and the AQI of the patients surroundings continuously keeps track of these parameters and through cloud computing the chances of an allergy to happen is predicted and the output is then sent back to the device, which in turn either warns the …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 25–34 Read article
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Forecasting Climate-Driven Healthcare Demand in Agricultural Regions: A Multi-Modal AI Approach
Abstract: The rapidly increasing instability of world climatic regimes has made past meteorological thresholds irrelevant, especially in the agricultural areas where monetary stability and well-being of humans are closely intertwined with an environmental situation. The more the frequency of 1 in every 1000-year events, i.e., heatwaves and catastrophic flooding increase, the greater the rural healthcare systems are in crisis, i.e., unable to predict a surge in demand because of data scarcity, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 28–38 Read article