STUDENT RESEARCH FORUM PROCEEDINGShttp://ir.kdu.ac.lk/handle/345/52752024-03-28T12:05:30Z2024-03-28T12:05:30ZStudying the shoreline variations based on the monsoon seasonality in MirissaBhagya, KALGunasinghe, GPhttp://ir.kdu.ac.lk/handle/345/65652023-08-14T10:37:12Z2023-07-01T00:00:00ZStudying 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.
2023-07-01T00:00:00ZForest fire risk zonation mapping using gis and remote sensing: a case study in Badulla district, Sri LankaVishwaprabha, WGMDSandamali, KUJRupasinghe, ARhttp://ir.kdu.ac.lk/handle/345/65632023-08-14T10:34:23Z2023-07-01T00:00:00ZForest 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.
2023-07-01T00:00:00ZEnhancing the effectiveness and efficiency by adopting building information modelling in the service delivery of the quantity surveying practice of Sri LankaWijesundara, WMCSKAmarathunga, AARKhttp://ir.kdu.ac.lk/handle/345/65612023-08-14T10:32:00Z2023-07-01T00:00:00ZEnhancing 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.
2023-07-01T00:00:00ZIdentification of the most significant contractors related causes of delay in Sri Lankan construction industryKalubovila, KAOTKawmudi, WNhttp://ir.kdu.ac.lk/handle/345/65592023-08-14T10:28:49Z2023-07-01T00:00:00ZIdentification 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.
2023-07-01T00:00:00Z