Impact Analysis of Oil Pollution using Change Detection Techniques in Kuwait

The present study reveals impact of oil pollution in the environment of Kuwait. The change detection techniques were applied to analyze the changes. The present study has been analyzed using digital satellite data such as 1990, 1993, 1999 and 2006. Based on hierarchy the data were applied various image processing technique like, principal component analysis, change detection analysis between 1993 to 1999 and 1999 to 2006, filtering techniques, classification, accuracy assessment and post classification methods. The results are revealed that the majority (90%) of the oil pollution occurred in the southern part of Kuwait

Land Use / Land Cover Assessment in Nagercoil town, Kanniyakumari District, South India

The present study revealed land use / land cover (LULC) changes during 1992 to 2015 using remote sensing and GIS tools. NRSC land use / land cover thematic maps were referred for classifying the LULC classification. For this assessment, ERDAS image software using maximum likelihood tool in supervised classification is applied. The present study identified land use / land cover pattern of the Nagercoil town is composed of build up land, agriculture land, plantation, crop land and water bodies. Therefore, the land use land cover changes were assessed from 1992 to 2015 and the results show that build up land has increased 8 km2, agriculture land has decreased 3.64 km2, plantation has decreased 2 km2, crop land has decreased 2 km2 and water bodies have decreased 0.36 km2

Geochemical Processes and Assessment of Water Quality for Irrigation of Al-Shagaya Field-C, Kuwait

Al-Shagaya Field-C is located southwest of Kuwait City, where the brackish groundwater is produced from the Dammam aquifer. The main objectives are to recognize the major geochemical processes operating in the aquifer and controlling its quality; in addition, to evaluate the groundwater quality criteria for drinking and irrigation. The investigation was carried out by estimating pH, EC, TDS, TH, SAR, %Na, RSC, RSBC, potential salinity, magnesium ratio, chloro-alkaline index, Kelly's ratio, Permeability index, and salinity hazard respectively. The TDS ranges between 2474 and 3232 mg/l, with an average value of 2753mg/l and the water is exceeding very hard. Groundwater shows Ca-Cl and Ca-Mg-Cl genetic water types. Results revealed that the groundwater is oversaturated with respect to dolomite and calcite and under-saturated with respect to gypsum and anhydrite. The main geochemical processes controlling groundwater chemistry in the study area are due to dissolution/ precipitation process along the path flow. The major ions composition in groundwater of the study area indicated that the water is not suitable for drinking. However, the irrigation parameters revealed that the groundwater is suitable for irrigation purposes

Impact of Monetary Policy on Post Crashed StockMarket Performance: Evidence from Dhaka Stock Exchange

Volume 4 No. 1, Jan-June 201

Impact of renewable energy in the future smart power system

Current power systems create environmental impacts due to utilization of fossil fuels, especially coal, as carbon dioxide is emitted into the atmosphere. In contrast to fossil fuels, renewable energy offers alternative sources of energy which are in general pollution free, technologically effective and environmentally sustainable. There is an increased interest in renewable energy, particularly solar and wind energy, which provides electricity without giving rise to carbon dioxide emissions. This paper presents a feasibility study undertaken to investigate the availability and usefulness of renewable energy sources in Central Queensland of Australia. The half hourly mean global solar irradiance and three hourly mean wind speed has been collected from Rockhampton Aero Weather Station, Queensland, Australia to further investigate the impact of renewable energy sources in existing and future smart power system. HOMER (Hybrid Optimization Model for Electric Renewable), computer model developed by NREL (National Renewable Energy Laboratory) has been used to performs comparative analysis of solar and wind energy with diesel and hybrid systems. Initially total net present cost (NPC) and the renewable fraction (RF) have been measured as performances metrics to compare the performances of different systems. Finally for better optimization, the model has been refined with sensitivity analysis which explores performance variations due to wind speed, solar irradiation and diesel fuel prices. (RESULT) From the simulation, it is shown that there are a number of factors that impact the performances of renewable energy sources to the power systems

Influences of wind energy integration into the distribution network

Wind energy is one of the most promising renewable energy sources due to its availability and climate-friendly attributes. Large-scale integration of wind energy sources creates potential technical challenges due to the intermittent nature that needs to be investigated and mitigated as part of developing a sustainable power system for the future. Therefore, this study developed simulation models to investigate the potential challenges, in particular voltage fluctuations, zone substation, and distribution transformer loading, power flow characteristics, and harmonic emissions with the integration of wind energy into both the high voltage (HV) and low voltage (LV) distribution network (DN). From model analysis, it has been clearly indicated that influences of these problems increase with the increased integration of wind energy into both the high voltage and low voltage distribution network, however, the level of adverse impacts is higher in the LV DN compared to the HV DN

Smart grid for a sustainable future

Advances in micro-electro-mechanical systems (MEMS) and information communication technology (ICT) have facilitated the development of integrated electrical power systems for the future. A recent major issue is the need for a healthy and sustainable power transmission and distribution system that is smart, reliable and climate-friendly. Therefore, at the start of the 21st Century, Government, utilities and research communities are working jointly to develop an intelligent grid system, which is now known as a smart grid. Smart grid will provide highly consistent and reliable services, efficient energy management practices, smart metering integration, automation and precision decision support systems and self healing facilities. Smart grid will also bring benefits of seamless integration of renewable energy sources to the power networks. This paper focuses on the benefits and probable deployment issues of smart grid technology for a sustainable future both nationally and internationally. This paper also investigates the ongoing major research programs in Europe, America and Australia for smart grid and the associated enabling technologies. Finally, this study explores the prospects and characteristics of renewable energy sources with possible deployment integration issues to develop a clean energy smart grid technology for an intelligent power system