Environmental issues in Nepal and solving them using the cleaner production approach
Owing to rapid industrialisation, environmental problems in sectors such as water, air, waste, energy and forestry in Nepal are reaching a crisis point. Although the Nepalese government has been trying to solve these problems by various means, the main emphasis has been on end-of-pipe solutions. This paper investigates why Nepal needs to implement Cleaner Production concepts as a matter of urgency and provides several recommendations to the government as well as sectors such as waste, industry, energy and pesticide regarding the implementation of such concepts.
Opportunities and challenges in implementing pollution prevention strategies to help revive the ailing carpet manufacturing sector of Nepal
Nepal's carpet sector is one of the main economic contributors that plays a significant role in many areas of the country's well being. However, this sector has seen a major downturn in recent years that is related to resource constraints, environmental problems and management inefficiency. Implementation of pollution prevention strategies has brought significant changes in similar sectors elsewhere in the world. Therefore, Nepal's carpet sector can also benefit from such strategies. This paper is written to provide an overview of the problems that the carpet manufacturing sector of Nepal faces. It also provides recommendations to the government, public and the carpet sector on some of the pollution prevention methods that can be implemented in Nepal to revive the ailing carpet sector. The information presented in this paper will also be useful to similar other industries elsewhere in the world that are directly or indirectly involved in carpet sector.
State estimation for integrated vehicle dynamics control
This paper discusses a vehicle controller and a state estimator that was implemented and tested in a vehicle equipped with a combined braking and chassis control system to improve handling. The vehicle dynamics controller consists of a feed forward body roll compensation and a feedback stability controller. The estimator is based on a non-linear vehicle model combined with an extended Kalman filter. The Kalman filter is also connected to an algorithm, which estimates the tyre-road friction coefficient. The developed estimator was tested in a vehicle. Good results were achieved for normal and extreme driving manoeuvers.