Early warning in weather forecasting entails provision of timely and effective weather information that allows individuals, organisations, or communities exposed to likely weather hazards to take action that avoids or reduces their exposure to risks. Various sectors have developed different ways to mitigate the effects of climate anomalies. The study reviews the existing monitoring and response structures, and communications flow channels of weather data at different levels, focusing on the role of Kenya Meteorological Service (KMS). The methodology employed was literature review of various documents. The study argues that early warning and weather information communication are essential elements for effective governance of weather risks through a well-developed warning system. At the end, the study recommends strengthening the existing structures with respect to weather monitoring, processing, and dissemination of weather products to end users.
Abstract. Monitoring of air pollution is an active area of research. A numbers of agencies; environmental, health and governments consider access to clean unpolluted air as a basic requirement for human, plant, animal and environmental health. As many countries develop and move up socio-economic scale, emissions will increase, rising pollution levels and causing health concerns. It is therefore paramount that ad hoc and continuous monitoring be undertaken to ascertain air pollutant levels. This study presents a statistical analysis of selected air pollutants from Athi River Township, Kajiado County in Kenya. The data was collected over three sites downwind of the township that are highly exposed to pollutants from Athi River town. The study was carried out using various gas analyzers and samplers mounted in a Mobile Air Monitoring Laboratory van. Concentration of particulate matter was generally high in the morning and late evening hours. The concentration was found to be above World Health Organisation air quality levels; the mean 24 hours of PM 2.5 was 30.74 μg/m 3 exceeding WHO limit of 25 μg/m 3 .The concentration of Black Carbon was found to range from medium to extremely high concentration in the region. However, the compounds of nitrogen, sulphur and hydrogen are generally low. To improve air quality in Athi River, mitigation measures such as limiting the establishment of more high energy-consuming industries and prioritize the use of clean energy sources. The study faced challenges in categorizing the concentration of the pollutants, calling for finalisation of air quality regulations and guidelines.
The ongoing global warming has caused unprecedented changes in the climate system, leading to an increase in the intensity and frequency of weather and climate extremes. This study uses the sixth phase of Coupled Model Intercomparison Project (CMIP6) data to investigate projected changes in drought events over East Africa (EA) under four Shared Socioeconomic Pathway (SSP) emission scenarios (SSP1-2.6, SSP2-4.5, SSP3-4.0, and SSP5-8.5). The CMIP6 data are bias-corrected using a quantile mapping method, with the Climatic Research Unit's precipitation dataset as reference. Drought is quantified using the standardized precipitation index and different measures of drought are estimated: drought duration, drought frequency, drought severity, and drought intensity. Evaluating the accuracy and reliability of historical data before and after bias correction demonstrates the importance of the approach. The overall distribution after bias correction depicts a close agreement with observation. Moreover, the multi-model ensemble mean demonstrate superiority over individual Global Circulation Models. Projected future changes show enhancement in precipitation over most parts of EA in the far future under different SSP scenarios. However, the arid and semi-arid regions are expected to receive less amount of precipitation, whereas the highlands and lake regions are expected to receive a larger amount of precipitation increase. Furthermore, the dry areas of EA are likely to experience more frequent drought events with longer duration, stronger intensity, and severity in the far future. Overall, this study identifies possible drought hotspots over EA, enabling early preparation for such events. Supplementary Information The online version contains supplementary material available at 10.1007/s11069-022-05341-8.
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