A pinboard by
Abeer Samy

I'm a PhD student in Environmental engineering. I'm studying hydrological cycle in Nile River Basin.


Water Resources Assessment, Planning, Protection & Management

The Nile River is the main source of water and life in Egypt. Having precise water resources assessment and management over the whole Nile River Basin is an essential issue. The Blue Nile River is one of the major resources for the Nile River as it provides it with 60% of its water resources. So, studying and analyzing Blue Nile meteorological variables like stream flow is considered very important issue as it gives a wide vision of a catchment’s response and helps in suggesting suitable future water resources management. Analysis of the trends in monthly stream flow at the basin for 40 years (1959:1998) were done in order to determine positive or negative trends in the stream flow data series. Stream flow data for two stations (Bahir_Dar - Kessie) in the Upper Blue Nile Basin were analyzed using the non-parametric Mann-Kendall (MK) statistical trend test and Sen's Slope Estimator. The results showed a combination of insignificant increasing and decreasing trends in the monthly, annually and seasonally stream flow at the considered stations. The MK statistical test showed that for most of the year there is no significant trend for the stream flow time series data except for two months in the rainy season for both stations. By applying Sen’s estimator, it was found that a decreasing in the trend slope occurred in Bahir_Dar, while it increased for Kessie Station.


Environments, Vol. 3, Pages 21: Land-Use Change Modelling in the Upper Blue Nile Basin

Abstract: Land-use and land-cover changes are driving unprecedented changes in ecosystems and environmental processes at different scales. This study was aimed at identifying the potential land-use drivers in the Jedeb catchment of the Abbay basin by combining statistical analysis, field investigation and remote sensing. To do so, a land-use change model was calibrated and evaluated using the SITE (SImulation of Terrestrial Environment) modelling framework. SITE is cellular automata based multi-criteria decision analysis framework for simulating land-use conversion based on socio-economic and environmental factors. Past land-use trajectories (1986–2009) were evaluated using a reference Landsat-derived map (agreement of 84%). Results show that major land-use change drivers in the study area were population, slope, livestock and distances from various infrastructures (roads, markets and water). It was also found that farmers seem to increasingly prefer plantations of trees such as Eucalyptus by replacing croplands perhaps mainly due to declining crop yield, soil fertility and climate variability. Potential future trajectory of land-use change was also predicted under a business-as-usual scenario (2009–2025). Results show that agricultural land will continue to expand from 69.5% in 2009 to 77.5% in 2025 in the catchment albeit at a declining rate when compared with the period from 1986 to 2009. Plantation forest will also increase at a much higher rate, mainly at the expense of natural vegetation, agricultural land and grasslands. This study provides critical information to land-use planners and policy makers for a more effective and proactive management in this highland catchment.

Pub.: 17 Aug '16, Pinned: 29 Jul '17

Long-Term Wind Speed Analysis and Detection of its Trends Using Mann–Kendall Test and Linear Regression Method

Abstract: Exponentially growing global population, power demands, pollution levels, and on the other hand rapid advancement in means of communication have made the people aware of the complex do or die situation. Kingdom of Saudi Arabia has vast open land, abundance of fossil fuel, not much population but has always been among the front runners whereas development and utilization of clean sources of energy are concerned. Long-term wind speed trends have been studied in this study using Mann–Kendall statistical trend analysis method. Historical daily mean wind speed data measured at 8–12m above ground level at national and international airports in the Kingdom over a period of 37 years was used to obtain long-term annual and monthly mean wind speeds, annual mean wind speed trends, and energy yield using an efficient modern wind turbine of 2.75 MW rated power. Trend analysis that showed a decreasing trend of 0.01852 m/s per year was observed in annual mean wind speed values based on the algebraic average of the trend coefficient (a) of all the stations used in the present work. Based on long-term annual average wind speed of more than 4 m/s, Al-Wejh, Dhahran, Guriat, Turaif, and Yanbo are placed in the preferred category for wind power development, and AlJouf, Arar, and Qaisumah with annual average wind speed 3.75 m/s range are placed in the second list of preferred locations for wind power development. At most of the locations, the wind power can be generated with 25–35% of plant capacity factor in Saudi Arabia.

Pub.: 11 Dec '12, Pinned: 29 Jul '17