Water resources management in Niger River basin is an issue of very high significance because of great socio-cultural, ecological and economic values. The basin comprises biospheres reserves, parks with a variety of wildlife, a significant livestock activity, a very fertile land for agriculture and a growing industry. In the territory of Niger, the Niger River Basin covers mostly all regions of Tillabéry (including the city of Niamey), Dosso, Tahoua and some of the regions of Maradi and Agadez. This area is composed of an active part, including the river valley and its major tributaries and some inactive area.Water Evaluation And Planning (WEAP) provides a seamless integration of both the physical hydrology of the region and water management infrastructure that governs the allocation of available water resources to meet the different water needs. It is a priority driven software, employs priority based optimization algorithm as an alternative to hierarchal rule based logic that uses a concept of Equity Group to allocate water in time of inefficient supply. There is need for optimization of Niger River resources future need of its population.
Until recently, absence or lack of adequate regulations and expertise in environmental studies' field, projects executed in Niger were mainly based on technical and economic aspects; leading to unsatisfactory results with negative consequences on the environment. But, since the adoption of the Framework Law on Environmental management and Environmental Code by the Nigeriens authorities in December 1998; taking into account of environmental issues have become a requirement in all social and economic activities. Thus, Niger as other countries is using Environmental Impact Assessment (EIA) as one of the Environmental management tools. The EIA process is reliant on the information presented in the Environmental Impact Report (EIR). The aim of this paper is to investigate the quality of EIA using Lee and Colley package. The results show slight achievement of EIA, furthermore we also identified factors affecting the EIA in Niger.
Groundwater is mainly demanded in all the activities for the population of the southern part especially in the Koda catchment, the studied area. These resources are affected by various factors especially climate change. Therefore, knowing the impact of projected climate change on groundwater recharge is an important issue for water resources management, especially for those responsible for the Koda catchment. In this work, the impact of climate change on groundwater resources in the study area in Mali, West Africa is investigated. The Hydrogeological modeling was performed using the Gardenia model, and the monthly precipitation and temperature data were used as the Baseline. These data considered the past 30-year period and the projections for the next 30 years (2021-2050). Projected precipitation and air temperatures, extracted from the Rossby Centre regional Atmospheric climate model (RCA 4) statistically downscaled from the GCM-IHEC-EC-EARTH and the GCM-MPI-M-MPI-ESM-LR under the Representative Concentration Pathways RCP 4.5 and RCP 8.5 and corrected with the Multiscale Quantile Mapping bias correction method, were used as input data to the gardenia model. Potential evapotranspiration (PET) values estimated from Blaney Criddle method and groundwater levels measured in three piezometers were used to calibrate the Gardenia model. The outputs display the reduction of groundwater level in the three piezometers in the Koda catchment for all the two Regional Climate Models (RCMs) during the periods of rainy season from July to October. From the results of GCM IHEC-EC-EARTH, the projected decline in GWL reaches 1.09 m for the RCP 4.5 and it up to 1.26 m for the RCP 8.5 in the study area while the GCM MPI-M-MPI-ESM-LR presentes the decline in groundwater level (GWL) during winter season from about How to cite this paper: Diancoumba, O.,
The study on water resources is very important for a country like Mali Republic. This is because the climate of the Sahel is projected by many climate scenarios that contribute to a premature dry season. So, the Klela basin being one of the affected areas by the phenomenon is selected for this study. Hence, it is interesting to evaluate this vital resource for a better planning in order to facilitate the decision making from the concerned authorities. For this research, the hydrological model, GR4J, is used to evaluate the dynamics of the surface water flow. The main objective of this study is to assess and predict (using scenarios RCP4.5 and RCP8.5) the correlation between rainfall and runoff in the Klela basin. In tandem with on this objective, the water flow and climate data were used as input data into the GR4J model. The model was calibrated and evaluated using the time series data 2000-2007 and 2008-2013, respectively. The performance of the model was evaluated mainly based on the Nash-Sutcliffe efficiency. The overall outputs display that the surface water flow is declining over time and this is more significant in the worst scenario RCP8.5.
Filling Stations are Facilities developed for provision of Goods – Automobile Fuel, Other Petroleum Products and Services – Servicing of Automobiles, Filling Stations are vital and key to the Transport and Logistics Management Industry. Despite playing a vital developmental/Economic roles Filling Stations can unfortunately be Sources of Risks/Hazardous and Accidents to Human and the Environment. In Niger Republic, Filling Stations is a "fashionable" Phenomenon, that is essential to have a general establishment Master Plan, and Risk Prevention as well as Mitigation Plans. The objective of this Study is to assess the Risks associated with the presence and activities of Filling Station in Niamey Communal District 5 (ACN5). The Study considered compliance with Regulations on Location and Activities of Filling Stations and Risk associated with the Filling Station and their Activities using Kinney Method. The Result shows that there is no harmonious integration of these Companies into the Urban Development Plan due to lack of Compliance with certain Regulatory Provisions. The diagnosis highlights that the Risks of Explosion, Fire, Pollution (Water, Soil) are the most to be feared with high scores (≥300) and 6% of the Filling Stations have must cases of non-Compliance to Regulations are supposed to be suspended/banned. Adoption of best practices in Operational Risk Management, namely Identification, Assessment, Mitigation and Monitoring of Risks is to be strictly adhered to by Filling Stations Studied.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.