S. O. Oladosu

This project presents the findings of a perimeter and detailed survey conducted at the Chevron Main Office (TOPCON) Ekpan, Uvwie Local Government Area, Delta State. The primary aim was to produce a comprehensive report on the property's boundaries and the features present within the area. This was to facilitate adequate planning and guide future development initiatives for the company's yard. The survey was essential for understanding the current level of structures and
developments, thereby identifying how remaining space could be managed or utilized for new construction projects.

The methodology involved several key stages, including office planning, field reconnaissance, and rigoroustesting of the survey equipment, a South NTS 362R Total Station, to ensure data accuracy. Fieldwork consisted of perimeter line cutting, traversing to establish control points, and a detailed survey to capture all natural and man-made features. Notable features mapped include administrative buildings, a helipad, warehouses, car parks, a basketball court, and the concrete wall fence defining the property boundary. Data processing involved computing coordinates, checking linear and angular accuracy, and calculating the total area. The results yielded a detailed digital plan of the site, produced using AutoCAD 2007 software at
a scale of 1:2,500. The survey achieved a high linear accuracy of 1:37,000 and determined the total area of the property to be 9.006 hectares. Analysis revealed that a significant portion of the land remains developed, indicating ample space for future projects. The final plan and report serve as a reliable base map and a functional database for the various land use types, fulfilling the project's objectives and providing a vital tool for the company's infrastructural planning and decision- making.

Flooding is a recurring environmental hazard that continues to pose significant challenges to urban development, particularly in rapidly growing cities of developing countries like Nigeria. This study investigates the causes, extent, and possible mitigation measures for flooding along Edaiken Primary School Road and its environs in Benin City, with the aim of improving stormwater management and promoting sustainable urban resilience. The researchevaluates the efficiency of existing drainage infrastructure, identifies flood-prone zones, and designs an appropriate drainage system to mitigate runoff accumulation. A combination of field observations, hydrological data collection, and GIS-based spatial analysis was employed to assess catchment characteristics and flow patterns. The drainage catchment was delineated into five sub-catchments (SC1–SC5), each with distinct topographic and hydrological properties. Results from the analysis revealed that sub- catchments SC3 and SC4 contribute the largest volumes of runoff due to their lower elevation and higher flow accumulation potential. The hydrological parameters indicated short times of concentration (0.284–0.583 hours) and high rainfall intensities (137.034–175.972 mm), which are typical of urbanized areas with low infiltration capacity.

Flooding brought on by excessive rainfall is one of the frequently occurring and widely reported disasters affecting human existence. The purpose of this study is to create flood risk maps of Ikpoba Okha which can be used for predicting the level of vulnerability due to rapid urban development taking place in recent times. The procedure to achieve this involved using the method of Analytical Hierarchy Process (AHP) in a Geographic Information System (GIS) environment. Among the fundamental datasets requirements for the project were: cloud-free high-resolution satellite images, SRTM DEM data, FAO soil data, rainfall data, etc. Maps of flood-enhancing elements, such as
flood risk vulnerability mapping, were created in Geographic Information Systems using the same scale of 1: 200,000 and geographic coordinate system (WGS 1984 UTM zone 31N). This multiparametric technique includes rainfall distribution, elevation and slope, drainage network and density, land use/land cover, and soil type, among other flood determinants. All the output raster maps
were first ranked using the "Weighted Linear Combination" method with a grid cell size of 0.0028 mm before being sent for Multi-Criteria Analysis (MCA). The computation of the consistency ratio at an acceptable level of 0.055 further confirmed the model's validity. Additionally, the research found topography and rainfall as the most significant factors contributing to floods in Benin City.