A Decision Tree Approach to Estimate Permanent Residents Using Remote Sensing Data in Lebanese Municipalities

Year: 2020 Volume: 14 Issue: 3 178 - 181 Pages

• Authors:
• K. Allaw
• J. Adjizian Gerard
• M. Chehayeb
• A. Raad
• W. Fahs
• A. Badran
• A. Fakherdin
• H. Madi
• N. Badaro Saliba

Abstract: Population estimation using Geographic Information System (GIS) and remote sensing faces many obstacles such as the determination of permanent residents. A permanent resident is an individual who stays and works during all four seasons in his village. So, all those who move towards other cities or villages are excluded from this category. The aim of this study is to identify the factors affecting the percentage of permanent residents in a village and to determine the attributed weight to each factor. To do so, six factors have been chosen (slope, precipitation, temperature, number of services, time to Central Business District (CBD) and the proximity to conflict zones) and each one of those factors has been evaluated using one of the following data: the contour lines map of 50 m, the precipitation map, four temperature maps and data collected through surveys. The weighting procedure has been done using decision tree method. As a result of this procedure, temperature (50.8%) and percentage of precipitation (46.5%) are the most influencing factors.

• Keywords:
• Remote sensing and GIS
• permanent residence
• decision tree
• Lebanon.

Plants Cover Effects on Overland Flow and on Soil Erosion under Simulated Rainfall Intensity

Year: 2013 Volume: 7 Issue: 8 550 - 554 Pages

• Authors:
• H. Madi
• L. Mouzai
• M. Bouhadef

Abstract: The purpose of this article is to study the effects of plants cover on overland flow and, therefore, its influences on the amount of eroded and transported soil. In this investigation, all the experiments were conducted in the LEGHYD laboratory using a rainfall simulator and a soil tray. The experiments were conducted using an experimental plot (soil tray) which is 2m long, 0.5 m wide and 0.15 m deep. The soil used is an agricultural sandy soil (62,08% coarse sand, 19,14% fine sand, 11,57% silt and 7,21% clay). Plastic rods (4 mm in diameter) were used to simulate the plants at different densities: 0 stem/m2 (bared soil), 126 stems/m², 203 stems/m², 461 stems/m² and 2500 stems/m²). The used rainfall intensity is 73mm/h and the soil tray slope is fixed to 3°. The results have shown that the overland flow velocities decreased with increasing stems density, and the density cover has a great effect on sediment concentration. Darcy–Weisbach and Manning friction coefficients of overland flow increased when the stems density increased. Froude and Reynolds numbers decreased with increasing stems density and, consequently, the flow regime of all treatments was laminar and subcritical. From these findings, we conclude that increasing the plants cover can efficiently reduce soil loss and avoid denuding the roots plants.

• Keywords:
• Soil erosion
• vegetation
• stems density
• overland flow.