3 research outputs found
Simplified Equation Models for Greenhouses Gases Assessment in Road Transport Sector in Burkina Faso
Transport sector is cited among the key emitted sector. In Burkina Faso, road transport occupies more than 60% of the emissions of the entire transport sector. However, there is no model equation for greenhouse gases modelling in transport sector. A methodology combining literature review and survey has been adopted to develop the simplified model equation in transport sector. The vehicle type survey allowed the identification of the type of vehicle and the literature review allowed the identification of the key parameters used for greenhouses gases modelling. The results revealed 10 vehicle types for road transport in Burkina Faso such as: Private cars, Public Transport/Buses, Special Vehicle (Ambulances, Fire bus, Funeral vehicles), other vehicle, Motorcycles, Wheeler, Rail, Van, Lorries and Truck Tractor. The keys parameters for greenhouse gases modelling are Fleet availability, Average annual distance travelled, Fuel Economy and Fuel emission factor. For all vehicle type identified simplified model equation was developed to support Burkina Faso, assessing greenhouse gases emission in the sector of transport. This approach could be replicated in other countries in the sub-Saharan Region
Climate Smart Agriculture: Threshold Number of Trees in Agroforestry Parkland for Better Land Management to Climate Adaptation and Mitigation in West Africa Burkina Faso
Agroforestry system is the most climate smart agriculture practices in West Africa. Because perennials are generally more resistant to climate extremes, such as drought, flood, and heat, than annual crops. Park land may appear to be competitive with crop on farm. To elucidate that, trees number and their canopy cover on farming system were assessed through tree inventory in three municipalities and compared with normal trees canopy cover. More than 3000 trees which spreading was 1154 in Bouroum-Bourom, 884 in Ouahigouya, and 1054 in Sapouy were used. Trees density and mean tree canopy cover in farms were calculated. Trees density on farm were about the double of trees threshold number in Soudanian zone, one and half both in Soudan Sahel and Sahel strict zones. Tree canopy cover were 66.25, 59.92, and 42.1 m2, respectively in Bouroum-Bourom, Sapouy, and Ouahigouya. The average tree cover was 23.99, 18.23, and 14.88%, respectively, the Municipality. Agroforestry system as more trees that it should be, to optimize the positive impact of agroforestry system to increase crop yield and restore land fertility the number of trees on parkland system should be 15, 17, and 24 trees/ha, respectively in Bouroum-Bouroum, Sapouy, and Ouahigouya
Climate Change Impact Assessment and Disaster Risk Financing Strategies in Mali: A Comprehensive Analysis of Drought and Flood Events
Climate change impact increasingly led to humanitarian assistance increase and needed. To better address climate change impacts mitigation, a suitable financing instrument is essential to facilitate government, humanitarian, and other stakeholders' finance mobilization. However, few studies have been done on disaster risk profiling to guide decision-makers in their choices. Disaster risk profile analysis has been conducted in Mali to facilitate financial resources mobilization and climate finance instrument choice by identifying Historical drought and flood events. To do so, published papers; and some international institution websites dealing with climate hazard events such as Reliefweb, Hazard/risk, climate information services, Relief Web; CRED- EM-DAT; World Bank Climate Knowledge Portal, World Bank- UNDRR -ThinkHazard, WFP ARC/GeoNode/VAM/DataViz addressing Mali country have been assimilated for evidence accumulation and synthesis and presented in a database. Furthermore, national statistics and national reports on hazards have been also reviewed. Before starting the reading exercise, a reading/analytical framework has been elaborated. In Mali the year 1984 to 2019, 21 flood events occurred in Mali and the most exposed regions to floods are Koulikoro, Bamako and Gao. From 1969 to 2020, 21 drought events were registered in in Mali and the most affected regions are Koulikoro, Mopti, Gao, Kayes. The time return period of drought has been estimated to 3 years while the time return of flood has been estimated to be about 2 years. Drought events are less frequent than flood events, however, drought events affect more population than floods. Also, Also, the yearly response cost for drought events is USD million 277.46 with an average US USD 204.37 cost per affected population. For the flood, even the yearly response cost is USD 11.107 million With USD 261.82 per affected population. Macro-insurance and CAT bonds are more suitable disaster risk financing instruments and are recommended to better address drought events while Anticipatory action and government contingency funds are more suitable climate disaster risk financing instruments to better address flood events in Mali