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Accurate and comprehensive knowledge of spatial soil characteristics is crucial for environmental modelling, risk assessment, and decision-making. The utilization of Remote Sensing data for Digital Soil Mapping has proven ...
Potential of green hydrogen producing from biomass, solar and wind in Togo has been performed. The availability of all these three resources has been depicted with maps showing them per cantons in Togo, thus, by using the ...
In the context of climate change and the subsequent pressure of human activities, there is abounding need to establish a clear relationship between reservoir storage, rainfall, and groundwater recharge in Bagre dam, Burkina ...
Changes in the distribution of precipitation frequency and intensity can affect dry and wet spells, which will have an impact on climate-sensitive sectors, most notably agriculture. This study set out to analyze the ...
Climate extreme events (floods, storms) and conflicts are still major problems for the sedentary life of the Sahelian populations. In recent years, floods, storms and conflicts (violent, non-violent or demonstrations) have ...
Agriculture is vital, and soil is a fundamental component with unique characteristics for different crops. This thesis research aimed to develop a deep learning-based system for soil type classification. It explores the ...
In this paper, PM2.5 concentrations in Ouagadougou are estimated using satellite-based Aerosol Optical Depth and Meteorological Parameters. Firstly, Simple Linear Regression (SLR), Multiple Linear Regression (MLR), Decision ...
Heat waves (HW) pose significant threats as deadly natural disasters, leading to human casualties and crop damage. The warming trend attributed to climate change is particularly affecting tropical Africa, with further ...
Extreme climate events in West Africa have increased, posing potential risks and harmful consequences for the region's natural ecosystems and human populations. In order to develop effective adaptation strategies, it is ...
Accurate precipitation forecasting is crucial for efficient climate risk management and resource planning. This study focuses on rainfall prediction using Machine Learning techniques over Guinean and Sudanian ecological ...
Climate change poses significant challenges to ecosystems, biodiversity and sustainable development in sub-Saharan Africa. However, the specific impact on honey bees and melliferous plants, as well as the perceptions and ...
Cardiovascular diseases (CVDs) pose a global health challenge, particularly in low-income countries like The Gambia. This study investigates the efficacy of machine learning algorithms in predicting CVDs and explores IoT ...
To facilitate decision-making processes, the development of an integrated agricultural drought monitoring index that integrates multiple input variables into a single index is crucial. To overcome the limitations of existing ...
The management of climate risks such as droughts, floods and heat waves requires high quality historical climate data that offers good spatial and temporal distribution. To achieve this, rain gauges are installed to provide ...
Global Sea Level Rise (SLR), especially caused by global warming, highly threatens the coastal countries by causing coastal erosions, biodiversity loss, coastal flooding, etc. The study of shoreline dynamics is a key aspect ...
In several studies, literature authors have investigated migration. However, discourses on migration are more than just about migration; rather than employed as a factual reference to a particular more or less well-defined ...
Coulibaly, Kefo Apa Habiba Christiane(WASCAL, 2022-07-15)
Renewable energy resources can be sensitive to future climate change. Geoengineering is suggested as a potential way to reduce the climate impacts of global warming. Here, we assess the potential impact of a solar ...
Electrical energy plays a vital role in daily life. The developing world is making good progress in improving access to electricity toward UN sustainable Goal number 7 through better energy planning. Understanding energy ...
This study proposes to predict rainfall on a Sub-seasonal to seasonal (S2S) time scale over
six (6) locations (Dori, Ouahigouya, Ouagadougou, Fada N’Gourma, Bobo-Dioulasso and
Gaoua) in Burkina Faso, using a specific ...
According to observations and the nearest future, flooding is among the most frequent climate hazards; the frequency and amplitude are expected to increase according to climate change projections. During such events, ...