Seasonal Variability of Rainfall and Thunderstorm Patterns in Kenya

This paper presents an analysis of spatial and temporal variation of rainfall and thunderstorm occurrence over Ken-ya from January 1987 to December 2017.The meteorological data used were obtained from the Kenya Meteorological Department(KMD)for the same period.This included the monthly thunderstorm occurrences and rainfall amounts of 26 synoptic stations across the country.The characteristics of monthly,seasonal and annual frequency results were presented on spatial maps while Time series graphs were used to display the pattern for annual cycle,seasonal varia-tions and the inter-annual variability of rainfall amounts and thunderstorm occurrences.A well-known non-parametric statistical method Mann Kendall(MK)trend test was used to determine and compare the statistical significance of the trends.Thunderstorm frequencies over the Eastern,Central and Coast regions of the country showed a bimodal pattern with high frequencies coinciding with March-April-May(MAM)and October-November-December(OND)rainy sea-sons.Very few thunderstorm days were detected over June-July-August(JJA)season.The areas to the western part of the country,near Lake Victoria,had the highest thunderstorm frequencies in the country over the three seasons:MAM,JJAS and OND.The annual frequency showed a quasi-unimodal pattern.These places near Lake Victoria showed sig-nificantly increasing thunderstorm trends during the MAM and OND seasons irrespective of the rainfall trends.This shows the effects of Lake Victoria over these areas,and it acts as a continuous source of moisture for thunderstorm for-mation.However,most stations across the country showed a reducing trend of thunderstorm frequency during MAM and JJA seasons.The importance of these findings is that they could support various policy makers,and users of cli-mate information,especially in the agriculture and aviation industries.

Petrology, Structural and Geochemistry of the Copper-Nickle-Iron Bearing Rocks in Korr-Marsabit Area, Northern Kenya

The main objective of this study was to investigate copper-Nickle-Iron bearing rocks of the northern Kenya, and understand their mode of formation. The area of study is bounded by latitudes 2º52'00"N and 1º52'00"N and longitudes 37º19'00"E and 37º36'00"E, South West of Marsabit town. The methods involved geological field mapping between September, 2020 and December 2020. Elemental analyses of the samples were done using an XRF. Pearsonian correlation on the analyzed elements was done using Oasis Montaj 8.4. Fabric8 software was used to analyze structural data. The area comprises metamorphic, igneous and sedimentary rocks. Metamorphic rocks include biotite hornblende gneisses, biotite gneisses, biotite muscovite gneisses and marbles. Basalts of different mineralogy were also found in the area. Colluvium and alluvium sediments were found covering some of the metamorphic rocks in some areas. Malachite occurs in gneisses in the central part of the area. The area has undergone deformation, which includes jointing and folding. The fold axis trend in the North-South direction and plunges to the southern part of the area. Correlation of the elements shows that there is a positive correlation of Copper-Nickel-Iron. This indicates similar mode of delivery within the host rocks. Kriging indicates spatial distribution of these elements within the study area. The average size of distribution can easily be computed from the maps produced by kriging.

Rationale for Decision-Making Processes in Enhancement of Community Participation for Sustainable Mangrove Management in Lamu, Kenya

Decision-making is the process of deciding between two or more options in order to take the most appropriate and successful course of action in order to achieve sustainable mangrove management. However, the distinctiveness of mangrove as an ecosystem, and thus the attendant socio-economic and governance ramifications, causes the idea of decision making to become relatively distinct from other decision making process As a result, the purpose of this research was to evaluate the impact that community engagement plays in the decision-making process as it relates to the establishment of governance norms for sustainable mangrove management in Lamu County. In this study, a correlational research design was applied, and the researchers employed a mixed techniques approach. The target population was 296 respondents. The research used questionnaires and interviews to collect data. A descriptive statistical technique was utilized to perform an inspection and analysis on the data that was gathered. The findings indicated that having awareness about governance standards is beneficial during the process of making decisions. In addition, the findings demonstrated that respondents had the impression that the decision-making process was not done properly. On the other hand, the participants pointed out the positive aspects of the decision-making process and agreed that the participation of both gender was essential for the sustainable management of mangroves. Based on these data, it appeared that full community engagement in decision-making is necessary for sustainable management of mangrove forests.

Barriers to Community Participation in Governance Standards Setting for Sustainable Mangrove Management in Lamu County

Mangrove management requires an all-inclusive community engagement for sustainability in protection and conservation of mangroves. Previously, community participation was not considered pivotal but the rapid degradation of mangroves has necessitated their participation. Despite much legislation enacted, there are still challenges hindering community participation in Lamu County and this paper seeks to highlight barriers perceived by the various stakeholders in mangrove management. The study used a mixed methods approach to answer both qualitative and quantitative research questions and a correlational research design to explore all variables. The study shows that only 60% of the respondents agreed that there is lack of enforcement in mangrove conservation through community participation. However, less than 50% agreed on the challenges of lack of good management in mangroves (46%), lack of implementation mechanisms on mangrove conservation (47%) and lack of consultation in decision-making processes for mangrove conservation (36%). This demonstrates that lack of enforcement is the greatest challenge to the implementation of standards for mangrove conservation.

Potential Driving Systems Associated with Extreme Rainfall across East Africa during October to December (OND) Season 2019

The East African (EA) region highly experiences intra-seasonal and inter-annual variation in rainfall amounts. This study investigates the driving factors for anomalous rainfall events observed during the season of October-November-December (OND) 2019 over the region. The study utilized daily rainfall data from Climate Hazards Group InfraRed Precipitation with Station Data Version 2 (CHIRPSv2) and the driving systems data. Statistical spatiotemporal analysis, correlation, and composite techniques were performed to investigate the teleconnection between OND 2019 seasonal rainfall and global synoptic climate systems. The findings showed that the OND 2019 experienced seasonal rainfall that was twice or greater than its seasonal climatology and varied with location. Further, the OND 2019 rainfall showed a positive correlation with the Indian Ocean Dipole (IOD) (0.81), Nino 3 (0.51), Nino 3.4 (0.47), Nino 4 (0.40), Pacific Decadal Oscillation (PDO) (0.22), and North Tropical Atlantic (NTA) (0.02), while El Nino-Southern Oscillation (ENSO) showed a negative correlation (−0.30). The region was dominated by southeasterly warming and humid winds that originated from the Indian Ocean, while the geopotential height, vertical velocity, and vorticity anomalies were closely related to the anomalous rainfall characteristics. The study deduced that the IOD was the major synoptic system that influenced maximum rainfall during the peak season of OND 2019. This study therefore provided insights on the diagnosis study of OND 2019 anomalous rainfall and its attribution over the EA. The findings of the study will contribute to improvements in forecasting seasonal rainfall by regional climate centers and national meteorological centers within the region.

Knowledge Gaps in Sustainable Development Goals (SDGs) Impacts on Biodiversity Conservation in Nairobi, Kenya

Sustainable Development Goals (SDGs) aim to ensure environmental sustainability is enhanced focusing on the future generation. Knowledge of the SDGs becomes pivotal in biodiversity conservation thus, a gap impacts such efforts on protecting and preserving biodiversity habits difficult. Nairobi City was chosen because of her unique ecosystem that habits wildlife and urban life with great prospects of being East Africa’s business hub. With an estimated double city population by 2030, knowledge of SDGs would be useful in enhancing biodiversity conservation in unique cities like Nairobi. Thus, a gap in the knowledge of SDGs threatens the future of biodiversity unless it is mitigated. The study employed a cross-sectional design that caters to qualitative and quantitative data. Data was collected using semi-structured questionnaires and key informant interviews. Data Envelopment Analysis (DEA) model was adopted to evaluate how determinants of human perceptions, decisions, and activities related to implementing sustainable development goals impact biodiversity conservation. Results indicate that respondents’ knowledge (30.5% ± 2.01%), attitudes (30.4% ± 1.56%), and practice (26.3% ± 0.08%) on implementation of SDGs was significantly low. Further, a majority believed that lack of awareness of SDGs 87% impacts biodiversity conservation, coupled with 12% and 1%, respectively, who opined that limited SDGs knowledge sharing and corruption were barriers to biodiversity conservation. The majority of respondents believed that increased awareness of SDGs (78.2% ± 2.61%), and strengthened institutional capacity (58.7% ± 3.01%) underscores SDGs’ importance in biodiversity conservation. Knowledge of SDGs is pivotal in the enhancement of biodiversity conservation.