https://ir.kdu.ac.lk/handle/345/5275 Wed, 08 Apr 2026 23:48:27 GMT 2026-04-08T23:48:27Z https://ir.kdu.ac.lk/handle/345/6565 Studying the shoreline variations based on the monsoon seasonality in Mirissa Bhagya, KAL; Gunasinghe, GP Sri Lanka is an island consisting of a 1600 km long shoreline. The shoreline is the boundary between the ocean and the land. The coastal area of Sri Lanka provides a different range of natural resources and the most effective conditions for economic and social development. Coastal areas are threatened by natural and human activities and regular erosion. Some reasons such as unauthorized constructions, unplanned manmade barriers, changes in the rainfall, sea level rise, mean tidal range, mean wave height, coastal slope, and land use pattern shoreline were changed (Pusella, 2015). The major cause of changes in shoreline position in coastal zones is the accretion or erosion of sand. Coastal management needs to recognize how sand accretion and erosion are affected by monsoon seasonality and human impacts to implement the most effective coastal protection techniques. Shoreline change is named coastal erosion and it became a major problem in many regions of the world and is particularly important for countries in low-lying coastal areas such as the south coasts of Sri Lanka. As an example, in Weligama Bay in the south, about 175000 to 285000 m2 of the coastal land area is lost due to erosion in the year (Lowry and Wickremeratne, 2012). Mirissa is a small town on the south coast of Sri Lanka, located in the Matara District of the Southern Province. It is approximately 150 kilometres south of Colombo and is situated at an elevation of 4 meters above sea level. This area is in Sri Lanka with the Global Position System (GPS) coordinates of 5 ̊56ʼ53.7432ˮ N and 80 ̊28ʼ17.7168ˮE. Mirissa Beach makes a popular tourist destination. Further, Mirissa coastal area consists of a fishery harbour and one of the island's main whale and dolphin viewing sites (Brinkhoff & Thomas, 2012). Mirissa area immensely helps to develop the economy of our country. However, improvement of this economic destination is not considered by the relevant authorities. This study mainly focuses on the detection of shoreline changes and geomorphological changes in Mirissa, on Sri Lanka's southern coast. The shoreline time series were obtained using the "CoastSat" software. The toolkit uses Google Earth Engine's capabilities to quickly retrieve Landsat and Sentinel-2 photos cropped to any user-defined area of interest. With a precision of 10 m, separation was used to map the location of the shoreline (Vos, Splinter, Harley, Simmons, & Turner, 2019)). By using CoastSat a precise output can be gained for the small beach area. But using Sentinel -2 images, an accurate comparison can be obtained to the Landsat images. Determining the shoreline variation according to the monsoon seasonality and identifying the geomorphological changes in Mirissa coastal area are specific objectives of this study. Sat, 01 Jul 2023 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/6565 2023-07-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/6563 Forest fire risk zonation mapping using gis and remote sensing: a case study in Badulla district, Sri Lanka Vishwaprabha, WGMD; Sandamali, KUJ; Rupasinghe, AR Forest fires are the main reason for changes in the structure of the forest coverage. According to the records of the Forest Department, Sri Lanka, as a percentage, more than half of forest fires were recorded in Badulla District. Badulla district is vulnerable to forest fires every year. It is one of the major natural disasters in Badulla district. It is not possible to control nature and natural disasters but possible to map forest fires and reduce their vulnerability. The identified problem of the study is, not having a proper forest fire risk zonation map for Badulla district, Sri Lanka. The main objective of the study is to analyse forest fire vulnerability and prepare a forest fire risk zonation map for the Badulla district. The study is based on Remote Sensing and GIS data. Those are the best methods for forest fire mapping beyond traditional methods. Traditional approaches make it challenging to map the intensity of fires. Topography, Land cover classes, and anthropological activities were taken as the variables of the study. Accordingly, the forest fire index was developed and given the ranks to variables variated from high to low. Further, a Forest fire risk zonation map was prepared and finally, a model was validated by calculating the RMSE value. Sat, 01 Jul 2023 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/6563 2023-07-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/6561 Enhancing the effectiveness and efficiency by adopting building information modelling in the service delivery of the quantity surveying practice of Sri Lanka Wijesundara, WMCSK; Amarathunga, AARK The global construction industry is moving in the direction of widespread application of BIM technique (Raic, 2007). In the worldwide construction sector, particularly in the Quantity Surveying field, there has been a paradigm change from traditional service delivery techniques to completely automated, by using BIM (Jayasena & Weddikkara, 2013). Jayasena and Wedikkara (2013) emphasized, implementation of BIM applications for the Quantity Surveying practice is a fear among Quantity Surveyors in Sri Lanka since the professional’s existence is disturbed by the threatening and challenging nature created when employing BIM within the QS practice (Nagalingam, Jayasena, & Ranadewa, 2016). The problem is to identify the factors contributing to the delay in using BIM in the QS contribution to the project. The QS needs to escalate the usage of BIM by understanding its potentials and developing streamlined methods to incorporate BIM into their current and future professional practices (Partridge, 2015). The main aim of this research study is to enhance the delivery of service in an effective and efficient manner by employing BIM applications within the QS practice in Sri Lanka where the objectives are to discover the current state of usage of BIM application in the Quantity Surveying field, to analyse the barriers influencing the implementation of BIM, to determine strategies to encourage the use of BIM to escalate the effectiveness and efficiency within the Quantity Surveying operations in Sri Lanka. Sat, 01 Jul 2023 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/6561 2023-07-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/6559 Identification of the most significant contractors related causes of delay in Sri Lankan construction industry Kalubovila, KAOT; Kawmudi, WN In construction, delay is the period that elapses after the completion date specified in the contract and as mutually agreed upon by the contract's parties. One of the most reoccurring issues in the construction sector around the world is delay (Jadhav, 2018). Delays can lead to many negative effects and one delay could result in the emergence of more delays (Muralidhar, 2018). Large rate of delay in project delivery is a major criticism faced by the Sri Lanka's construction sector. Despite the type or size of the construction project, majority of construction projects are prone to delays, and timely completion is typically exceptional (Jayalath, 2010). Cost, time, and quality equally contribute to the project success (Ramalee, 2016). Therefore, project delay directly impacts on project success. Delays may be caused by one or both contracting parties, a third party who is not a party to the contract, or external forces. Contractor is the party who is mostly responsible for construction delays (Farooqui, 2007). Therefore, taking an endeavour on mitigation of contractor related delays can significantly effect on reducing construction delays. Quantity Surveyor is responsible for the cost aspect of a project and delays are a major barrier for Quantity Surveyors to ensure that cost overrun does not take place (Rathnayake, 2022). Therefore, it is obvious that as a Quantity Surveyor, taking an endeavour on mitigating contractor related delays is important to enhance the performance of Quantity Surveyors. Prior to mitigating them it is at upmost important to identify the most significant causes of contractor related causes of delay in Sri Lanka, since it makes it simple to choose what should be addressed first and what should be prioritized. Sat, 01 Jul 2023 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/6559 2023-07-01T00:00:00Z