研究者詳細

顔写真

ジヤナカ　バムナワラ
JANAKA BAMUNAWALA
Rajapaksha Mudiyanselage Janaka Bamunawa
所属
大学院工学研究科　土木工学専攻　水環境学講座（水環境システム学分野）
職名
特任助教（研究）
学位

  • Doctor of Philosophy in Coastal Engineering （IHE Delft and Twente University, The Netherlands）

  • Master of Science in Coastal Engineering （University of Moratuwa, Sri Lanka）

  • Honours Degree of Bachelor of the Science of Engineering （University of Moratuwa, Sri Lanka）

e-Rad 研究者番号
80987024

経歴 4

  • 2022年11月 ～ 継続中
    東北大学　大学院工学研究科 土木工学専攻

  • 2021年2月 ～ 2023年3月
    UNESCO-Madanjeet Singh Centre for South Asia Water Management, University of Moratuwa　Research Coordinator

  • 2021年2月 ～ 2022年10月
    University of Moratuwa　Department of Civil Engineering　Senior Lecturer

  • 2008年6月 ～ 2015年4月
    University of Moratuwa　Department of Civil Engineering　Lecturer (Contract)

学歴 3

  • Twente University and IHE Delft　PhD in Coastal Engineering

    2015年6月 ～ 2020年4月

  • University of Moratuwa　MSc in Coastal Engineering

    2011年1月 ～ 2012年12月

  • University of Moratuwa　BSc in Civil Engineering

    2004年1月 ～ 2008年5月

所属学協会 4

  • Institution of Civil Engineers (ICE - UK)

    2009年 ～ 継続中

  • American Society of Civil Engineers (ASCE)

    2009年 ～ 継続中

  • Sri Lanka Association for the Advancement of Science (SLAAS)

    2010年9月 ～ 継続中

  • Institution of Engineers Sri Lanka (IESL)

    2009年 ～ 継続中

研究キーワード 4

  • Inlet-interrupted coasts

  • Sediment pathway: from source to coast

  • Climate-Change Impacts

  • Catchment-Estuary-Coastal System

研究分野 2

  • 社会基盤（土木・建築・防災） / 水工学 /

  • フロンティア（航空・船舶） / 船舶海洋工学 /

受賞 2

  1. Coastal Engineering Journal Reviewer Award (2023)

    2024年11月　Coastal Engineering Committee, Japan Society of Civil Engineering

  2. Outstanding Research Performance - 2021

    University of Moratuwa, Sri Lanka

論文 29

  1. Morphodynamic modelling of a wave-driven river mouth sandspit in data-scarce coastal environments: an example at the Volta River Mouth, Ghana, West Africa

    Stephan K. Lawson, Janaka Bamunawala, Hitoshi Tanaka, Keiko Udo

    Journal of Hydro-environment Research　2026年3月

    DOI： 10.1016/j.jher.2026.100694 　

  2. Coupling Rainfall Intensity and Satellite-Derived Soil Moisture for Time of Concentration Prediction: A Data-Driven Hydrological Approach to Enhance Climate Responsiveness

    Kasun Bandara, Kavini Pabasara, Luminda Gunawardhana, Janaka Bamunawala, Jeewanthi Sirisena, Lalith Rajapakse

    Hydrology　2025年10月6日

    DOI： 10.3390/hydrology12100264 　

  3. Impact of Spatio-Temporal Variability of Droughts on Streamflow: A Remote-Sensing Approach Integrating Combined Drought Index

    Anoma Srimali, Luminda Gunawardhana, Janaka Bamunawala, Jeewanthi Sirisena, Lalith Rajapakse

    Hydrology　2025年6月7日

    DOI： 10.3390/hydrology12060142 　

  4. Unlocking the mysteries of drought: integrating snowmelt dynamics into drought analysis at the Narayani River Basin, Nepal 査読有り

    S. Bajracharya, L. N. Gunawardhana, J. Sirisena, J. Bamunawala, L. Rajapakse, M. G. N. Odara

    Natural Hazards　2025年3月

    DOI： 10.1007/s11069-024-07004-2 　

  5. Interdisciplinary exploration of coastal morphodynamics

    Toru Tamura, Keiko Udo, Janaka Bamunawala

    Coastal Engineering Journal　2025年2月14日

    DOI： 10.1080/21664250.2025.2461339 　

  6. On the time lag between sea-level rise and basin infilling at tidal inlets 査読有り

    Roshanka Ranasinghe, Zheng Bing Wang, Janaka Bamunawala, Trang Minh Duong

    Scientific Reports　15　(1)　2025年2月4日

    出版者・発行元： Springer Science and Business Media LLC

    DOI： 10.1038/s41598-025-86699-0 　

    eISSN：2045-2322

  7. Use of Machine Learning and Indexing Techniques for Identifying Industrial Pollutant Sources: A Case Study of the Lower Kelani River Basin, Sri Lanka 査読有り

    Nalintha Wijayaweera, Luminda Gunawardhana, Janaka Bamunawala, Jeewanthi Sirisena, Lalith Rajapakse, Chaminda Samarasuriya Patabendige, Himali Karunaweera

    Water　16　(19)　2766　2024年9月28日

    出版者・発行元： MDPI AG

    DOI： 10.3390/w16192766 　

    eISSN：2073-4441

    詳細を見る 詳細を閉じる

    With the recent acceleration in urbanisation and industrialisation, industrial pollution has severely impacted inland water bodies and ecosystem services globally, causing significant restrains to freshwater availability and myriad damages to benthic species. The Kelani River Basin in Sri Lanka, covering only ~3.6% of the land but hosting over a quarter of its population and many industrial zones, is identified as the most polluted watershed in the country. This study used unsupervised learning (UL) and an indexing approach to identify potential industrial pollutant sources along the Kelani River. The UL results were compared with those obtained from a novel Industrial Pollution Index (IPI). Three latent variables related to industrial pollution were identified via Factor Analysis of monthly water quality data from 17 monitoring stations from 2016 to 2020. The developed IPI was validated using a Long Short-Term Memory Artificial Neural Network model (NSE = 0.98, RMSE = 0.81), identifying Cd, Zn, and Fe as the primary parameters influencing river pollution status. The UL method identified five stations with elevated concentrations for the developed latent variables, and the IPI confirmed four of them. Based on the findings from both methods, the industrial zones along the Kelani River have emerged as a likely source of pollution in the river’s water. The results suggest that the proposed method effectively identifies industrial pollution sources, offering a scalable methodology for other river basins to ensure sustainable water resource management.

  8. Significance of Multi-Variable Model Calibration in Hydrological Simulations within Data-Scarce River Basins: A Case Study in the Dry-Zone of Sri Lanka 査読有り

    Kavini Pabasara, Luminda Gunawardhana, Janaka Bamunawala, Jeewanthi Sirisena, Lalith Rajapakse

    Hydrology　11　(8)　116-116　2024年8月5日

    出版者・発行元： MDPI AG

    DOI： 10.3390/hydrology11080116 　

    eISSN：2306-5338

    詳細を見る 詳細を閉じる

    Traditional hydrological model calibration using limitedly available streamflow data often becomes inadequate, particularly in dry climates, as the flow regimes may abruptly vary from arid conditions to devastating floods. Newly available remote-sensing-based datasets can be supplemented to overcome such inadequacies in hydrological simulations. To address this shortcoming, we use multi-variable-based calibration by setting up and calibrating a lumped-hydrological model using observed streamflow and remote-sensing-based soil moisture data from Soil Moisture Active Passive Level 4. The proposed method was piloted at the Maduru Oya River Basin, Sri Lanka, as a proof of concept. The relative contributions from streamflow and soil moisture were assessed and optimised via the Kling–Gupta Efficiency (KGE). The Generalized Reduced Gradient non-linear solver function was used to optimise the Tank Model parameters. The findings revealed satisfactory performance in streamflow simulations under single-variable model validation (KGE of 0.85). Model performances were enhanced by incorporating soil moisture data (KGE of 0.89), highlighting the capability of the proposed multi-variable calibration technique for improving the overall model performance. Further, the findings of this study highlighted the instrumental role of remote sensing data in representing the soil moisture dynamics of the study area and the importance of using multi-variable calibration to ensure robust hydrological simulations of river basins in dry climates.

  9. On detailed representation of flood defences and flow-wave coupling in coastal flood modelling 査読有り

    Trang Minh Duong, Remi Meynadier, Roshanka Ranasinghe, Manuel Andres Diaz Loaiza, Jeremy D. Bricker, Johan Reyns, Arjen Luijendijk, Janaka Bamunawala

    npj Natural Hazards　1　(1)　16　2024年8月1日

    出版者・発行元： Springer Science and Business Media LLC

    DOI： 10.1038/s44304-024-00016-9 　

    eISSN：2948-2100

    詳細を見る 詳細を閉じる

    Abstract Coastal flooding is projected to become more severe over the 21st century, necessitating effective adaptation, which in turn requires detailed local scale information that can only be provided by detailed numerical modelling. The current lack of information on flood protection measures and the high resource requirements of traditional hydrodynamic models presents concurrent challenges for detailed coastal flood modelling. But how comprehensive do the representation of coastal flood defences and hydrodynamic forcing need to be for adequately accurate modelling of coastal flooding? Here, we attempt to answer this question through strategic numerical simulations of the flooding that occurred at Île de Ré (France) during the Xynthia storm (2010), using the flexible mesh model Delft3D FM, with an over-land grid resolution of ~10 m. The model is validated against the flood extents observed in Île de Ré during Xynthia. We use three levels of detail in flood defence representation: a 5 m resolution DEM (i.e. base case DEM), the same 5 m DEM augmented with defences extracted from a 1 m DEM and Google Earth images (i.e. moderately augmented DEM), and the moderately augmented DEM further augmented with in-situ measurements of flood defences (i.e. highly augmented DEM). Simulations with these three DEMs are performed with and without flow-wave coupling (thus, 6 simulations in total), and results are analysed in terms of four flood indicators: maximum flood depths, flood extents, flood current velocities and flood damages. Our analysis indicates that both detailed representation of flood defences and the inclusion of waves have substantial effects on coastal flood modelling at local scale, with the former having a more pronounced effect. The return on the investment in implementing highly detailed in-situ measurements to represent flood defences appears to be low in this case, and adequately accurate results are obtained with a moderately augmented DEM. The combined effect of using the moderately augmented DEM together with waves, relative to using the base case DEM without waves, is to decrease maximum flood depths (up to 2 m), flood extent (by ~10%), maximum current velocities (in ~50% flooded area) and total flood damage (by ~27% or ~€ 188 million).

  10. Assessing Climate-Change-Driven Impacts on Water Scarcity: A Case Study of Low-Flow Dynamics in the Lower Kalu River Basin, Sri Lanka 査読有り

    Rangika Fernando, Harsha Ratnasooriya, Janaka Bamunawala, Jeewanthi Sirisena, Merenchi Galappaththige Nipuni Odara, Luminda Gunawardhana, Lalith Rajapakse

    Water　16　(10)　1317　2024年5月7日

    出版者・発行元： MDPI AG

    DOI： 10.3390/w16101317 　

    eISSN：2073-4441

    詳細を見る 詳細を閉じる

    The adverse impacts of climate change are becoming more frequent and severe worldwide, and Sri Lanka has been identified as one of the most severely affected countries. Hence, it is vital to understand the plausible climate-change-driven impacts on water resources to ensure water security and socio-economic well-being. This study presents novel assessments on low-flow dynamics along the lower Kalu River Basin, Sri Lanka, and water availability during the dry spells of the 2030–2060 period. Bias-corrected daily precipitation projections of a high resolution (25 km × 25 km) NCC-NORESM1-M regional climate model is used here to force a calibrated HEC-HMS hydrological model to project catchment discharge during the future period considered under the two end-member Representative Concentration Pathways (i.e., RCP 2.6 and RCP 8.5). Our results show that the study area (i.e., Kuda Ganga sub-basin) may become warmer (in non-monsoonal periods) and wetter (in monsoon season) under both scenarios during the near future (2030–2040) when compared to the baseline period (1976–2005) considered. Consequently, the streamflow may reduce, making it the decade with the largest water deficit within the time horizon. The subsequent deficit volume assessment for the 2031–2040 period shows a probable water shortage (~5 million m3) under the RCP 2.6 scenario, which may last for ~47 days with an average daily intensity of 105,000 m3. Our results highlight the need of incorporating climate-change-driven impacts in water resources management plans to ensure water security.

  11. Impact of ebb-delta dynamics on shoreline evolution along inlet-interrupted coasts 査読有り

    Janaka Bamunawala, Roshanka Ranasinghe, Jeewanthi Sirisena

    Frontiers in Marine Science　10　1224881　2023年11月30日

    出版者・発行元： Frontiers Media SA

    DOI： 10.3389/fmars.2023.1224881 　

    eISSN：2296-7745

    詳細を見る 詳細を閉じる

    Shorelines adjacent to tidal inlets are highly dynamic landforms affected by oceanic (e.g., sea-level rise) and terrestrial (e.g., fluvial sediment supply) processes. Climate change is thus expected to have substantial physical impacts on these inlet-interrupted coasts. Numerical simulation of such impacts requires a holistic approach where at least the major governing processes that affect the local sediment budget are considered. The Generalized-Scale-aggregated Model for Inlet-interrupted Coasts (i.e., G-SMIC) is such a model that is capable of holistically simulating the evolution of inlet-interrupted coasts over multi-decadal to century time periods. However, in its present form, G-SMIC does not consider the effects of ebb-delta dynamics in its computations. Here, we improve the model to include ebb-delta dynamics and pilot the improved model (G-SMIC+) at two selected case study sites in Vietnam (Thu Bon estuary) and Wales, United Kingdom (Mawddach estuary). Model hindcasts of G-SMIC+ at both case study locations show reasonable agreement with available records of shoreline variations. The evolution of the two inlet-estuary systems was assessed over the 21st century under four of the IPCC’s sixth assessment report climate scenarios (viz., SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). Results show that both systems switch between sediment exporting and sediment importing systems over the study period (2031 - 2100). Moreover, while the inclusion of ebb-delta dynamics may decrease the erosion volumes of the up-drift shoreline by up to 37% and 46% at Thu Bon and Mawddach estuaries, respectively (by 2100, relative to 2030), the down-drift coast is only affected in a noticeable way at the Mawddach estuary, where the accretion volume is projected to reduce by ~50%. As a result, the ebb-delta effect decreases the up-drift shoreline retreat by up to 37% and 48% at Thu Bon and Mawddach estuaries, respectively, while it reduces shoreline progradation of the down-drift coast of Mawddach estuary by up to ~50%. These results highlight the importance of including ebb-delta dynamics in modelling efforts to assess the climate change responses of inlet-interrupted coasts worldwide.

  12. Bridging the Gap: Advancing Hydrological Modelling for the Maduru Oya River Basin 査読有り

    Abdul Wahed Nab, Harsha Ratnasooriya, Janaka Bamunawala, Lalith Rajapakse

    2023 Moratuwa Engineering Research Conference (MERCon)　4　207-212　2023年11月9日

    出版者・発行元： IEEE

    DOI： 10.1109/mercon60487.2023.10355405 　

  13. Littoral Drift Impoundment at a Sandbar Breakwater: Two Case Studies along the Bight of Benin Coast (Gulf of Guinea, West Africa) 査読有り

    Stephan K. Lawson, Keiko Udo, Hitoshi Tanaka, Janaka Bamunawala

    Journal of Marine Science and Engineering　11　(9)　1651　2023年8月24日

    出版者・発行元： MDPI AG

    DOI： 10.3390/jmse11091651 　

    eISSN：2077-1312

    詳細を見る 詳細を閉じる

    This study assessed the deposition of sediment and shoreline evolution at two newly constructed port facilities in the Bight of Benin, West Africa. Based on the Building with Nature approach, the concept of a sandbar breakwater was implemented at the study sites. The coastal system of the bight is characterized by a sand barrier-lagoon system and a uniform prevailing wave climate, making it a favorable location for this innovative port solution. The case studies were undertaken at the Port of Lomé, Togo, and the Lekki Deep Sea Port (Dangote Sea Port), Nigeria, using remotely sensed shoreline positions and the one-line coastline change model for different periods. After construction of the breakwater, we estimated that the updrift coastline at the two locations accreted in the range of 10–23 m/year and the rates of sediment deposition were estimated to be in the magnitude of 1.0–7.0 × 105 m3/year. The comparative study conducted also showed that these rates could further reach a magnitude of 106 m3/year at other sediment-accreting landforms within the bight. We found that these large magnitudes of longshore sediment transport generated from very oblique incident waves (10°–20°) and sediment input from rivers (in orders of 106 m3/year) have enabled the realization of expected morphodynamic changes on the updrift shoreline of the ports. From these results, downdrift morphological changes should not be underestimated due to potential imbalances induced in the sedimentary budget along the coastline. Future developmental plans within the bight should also continuously aim to adopt nature-based solutions to protect the ecosystem while mitigating unforeseen implications.

  14. Comparison of process-based and lumped parameter models for projecting future changes in fluvial sediment supply to the coast 査読有り

    T. A. J. G. Sirisena, Janaka Bamunawala, Shreedhar Maskey, Roshanka Ranasinghe

    Frontiers in Earth Science　10　978109　2023年1月11日

    出版者・発行元： Frontiers Media SA

    DOI： 10.3389/feart.2022.978109 　

    eISSN：2296-6463

    詳細を見る 詳細を閉じる

    Fluvial sediment supply (FSS) is one of the primary sources of sediment received by coasts. Any significant change in sediment supply to the coast will disturb its equilibrium state. Therefore, a robust assessment of future changes in FSS is required to understand the coastal system’s status under plausible climatic variations and human activities. Here, we investigate two modelling approaches to estimate the FSS at two spatially heterogeneous river basins: the Irrawaddy River Basin (IRB), Myanmar and the Kalu River Basin (KRB), Sri Lanka. We compare the FSS obtained from a process-based model (i.e., Soil Water Assessment Tool: SWAT) and an empirical model (i.e., the BQART model) for mid- (2046–2065) and end-century (2081–2100) periods under climate change and human activities (viz, planned reservoirs considered here). Our results show that SWAT simulations project a higher sediment load than BQART in the IRB and vice versa in KRB (for both future periods considered). SWAT projects higher percentage changes for both future periods (relative to baseline) compared to BQART projections in both basins with climate change alone (i.e., no reservoirs) and vice versa when planned reservoirs are considered. The difference between the two model projections (from SWAT and BQART) is higher in KRB, and it may imply that empirical BQART model projections are more in line with semi-distributed SWAT projections at the larger Irrawaddy River Basin than in the smaller Kalu River Basin.

  15. Use of Remote-Sensing-Based Global Products for Agricultural Drought Assessment in the Narmada Basin, India 査読有り

    Jeewanthi Sirisena, Denie Augustijn, Aftab Nazeer, Janaka Bamunawala

    Sustainability　14　13050　2022年10月12日

    DOI： 10.3390/su142013050 　

  16. An Integrated, Probabilistic Modeling Approach to Assess the Evolution of Barrier-Island Systems Over the Twenty-First Century 査読有り

    Janaka Bamunawala, Ad van der Spek, Ali Dastgheib, A. Brad Murray, Roshanka Ranasinghe

    Frontiers in Marine Science　8　755699　2021年11月22日

    出版者・発行元： Frontiers Media SA

    DOI： 10.3389/fmars.2021.755699 　

    eISSN：2296-7745

    詳細を見る 詳細を閉じる

    Barrier-island systems, spanning ∼7% of the world’s coastlines, are of great importance to society because not only they provide attractive, liveable space for coastal communities but also act as the first line of defense from coastal storms. As many of these unique coastal systems are affected by both oceanic and terrestrial processes, it is necessary to consider the holistic behavior of applicable terrestrial and coastal processes when investigating their evolution under plausible future scenarios for climate change, population growth and human activities. Such holistic assessments, also accounting for uncertainties, can readily be achieved via reduced-complexity modeling techniques, owing to their much faster simulation times compared to sophisticated process-based models. Here, we develop and demonstrate a novel probabilistic modeling framework to obtain stochastic projections of barrier-island evolution over the twenty-first century while accounting for relevant oceanic and terrestrial processes under climate change impacts and anthropogenic activities. The model is here demonstrated at the Chandeleur islands (Louisiana, United States) under the four Intergovernmental Panel on Climate Change (IPCC) greenhouse gas emission scenarios (i.e., Representative Concentration Pathways 2.6, 4.5, 6.0, and 8.5) with results indicating that there are significant uncertainties in projected end-century barrier-island migration distance and available barrier freeboard under the high emission scenario RCP 8.5. The range of uncertainties in these projections underscores the value of stochastic projections in supporting the development of effective adaptation strategies for these fragile coastal systems.

  17. Projected Streamflow and Sediment Supply under Changing Climate to the Coast of the Kalu River Basin in Tropical Sri Lanka over the 21st Century 査読有り

    T.A.J.G. Sirisena, Shreedhar Maskey, Janaka Bamunawala, Erika Coppola, Roshanka Ranasinghe

    Water　13　(21)　3031-3031　2021年10月28日

    出版者・発行元： {MDPI} {AG}

    DOI： 10.3390/w13213031 　

  18. Twenty-first-century projections of shoreline change along inlet-interrupted coastlines 査読有り

    Bamunawala, J., Ranasinghe, R., Dastgheib, A., Nicholls, R.J., Murray, A.B., Barnard, P.L., Sirisena, T.A.J.G., Duong, T.M., Hulscher, S.J.M.H., van der Spek, A.

    Scientific Reports　11　(1)　14038　2021年

    DOI： 10.1038/s41598-021-93221-9 　

    ISSN：2045-2322

  19. Climate Change and Reservoir Impacts on 21st-Century Streamflow and Fluvial Sediment Loads in the Irrawaddy River, Myanmar 査読有り

    Sirisena, T.A.J.G., Maskey, S., Bamunawala, J., Ranasinghe, R.

    Frontiers in Earth Science　9　644527　2021年

    DOI： 10.3389/feart.2021.644527 　

    ISSN：2296-6463

  20. A Holistic Modeling Approach to Project the Evolution of Inlet-Interrupted Coastlines Over the 21st Century 査読有り

    Bamunawala, J., Dastgheib, A., Ranasinghe, R., van der Spek, A., Maskey, S., Murray, A.B., Duong, T.M., Barnard, P.L., Sirisena, T.A.J.G.

    Frontiers in Marine Science　7　542　2020年

    DOI： 10.3389/fmars.2020.00542 　

    ISSN：2296-7745

  21. Probabilistic Application of an Integrated Catchment-Estuary-Coastal System Model to Assess the Evolution of Inlet-Interrupted Coasts Over the 21st Century 査読有り

    Bamunawala, J., Dastgheib, A., Ranasinghe, R., van der Spek, A., Maskey, S., Murray, A.B., Barnard, P.L., Duong, T.M., Sirisena, T.A.J.G.

    Frontiers in Marine Science　7　579203　2020年

    DOI： 10.3389/fmars.2020.579203 　

    ISSN：2296-7745

  22. Quantitative assessment of the environmental risk due to climate change-driven coastline recession: A case study in Trincomalee coastal area, Sri Lanka 査読有り

    Mehvar, S., Dastgheib, A., Bamunawala, J., Wickramanayake, M., Ranasinghe, R.

    Climate Risk Management　25　100192　2019年

    DOI： 10.1016/j.crm.2019.100192 　

    ISSN：2212-0963

  23. Assessing climate change impacts on the stability of small tidal inlets: Part 2 - Data rich environments 査読有り

    Duong, T.M., Ranasinghe, R., Thatcher, M., Mahanama, S., Wang, Z.B., Dissanayake, P.K., Hemer, M., Luijendijk, A., Bamunawala, J., Roelvink, D., Walstra, D.

    Marine Geology　395　65-81　2018年

    DOI： 10.1016/j.margeo.2017.09.007 　

    ISSN：0025-3227

  24. Assessing Future Coastline Change in the Vicinity of Tidal Inlets via Reduced Complexity Modelling 査読有り

    Bamunawala, J., Ranasinghe, R., Van Der Spek, A., Maskey, S., Udo, K.

    Journal of Coastal Research　85　636-640　2018年

    DOI： 10.2112/SI85-128.1 　

    ISSN：1551-5036 0749-0208

  25. Significance of fluvial sediment supply in coastline modelling at tidal inlets 査読有り

    Bamunawala, J., Maskey, S., Duong, T.M., van der Spek, A.

    Journal of Marine Science and Engineering　6　(3)　79　2018年

    DOI： 10.3390/jmse6030079 　

    ISSN：2077-1312

  26. Impacts of Climate Change on Extreme Wave Climate Along the Western Coast of Sri Lanka 査読有り

    R. M. J. Bamunawala, S. S. L. Hettiarachchi, S. P. Samarawickrama, P. N. Wikramanayake, Roshanka Ranasinghe

    Coastal Management　119-127　2016年2月24日

    出版者・発行元： ICE Publishing

    DOI： 10.1680/cm.61149.119 　

  27. Climate Change Impacts on Seasonal Wave Climate of the Western Coast of Sri Lanka 査読有り

    R. M. J. Bamunawala, S. S. L. Hettiarachchi, S. P. Samarawickrama, P. N. Wickramanayake, Roshanka Ranasinghe

    Proceedings of the 3rd International Conference on Advances in Civil and Environmental Engineering Practices for Sustainable Development (ACEPS)　126-133　2015年3月

  28. Assessing the Risk of Sea Level Rise and the Wave Climate of Sri Lanka 査読有り

    R. M. J. Bamunawala, S. Hettiarachchi, S. Samarawickrama, G. S. De Costa

    Proceedings of the 19th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research (IAHR-APD)　2014年9月

  29. Impact of Climate Change on the Wave Climate of Sri Lanka 査読有り

    R. M. J. Bamunawala, S. S. L. Hettiarachchi, S. P. Samarawickrama, P. N. Wickramanayake, Roshanka Ranasinghe

    Proceedings of the 4th International Conference on Structural Engineering and Construction Management　74-87　2013年12月

︎全件表示 ︎最初の5件までを表示

講演・口頭発表等 7

  1. A Holistic Model to Simulate Long-Term Evolution of Catchment-Estuary-Coastal Systems

    Janaka Bamunawala, Roshanka Ranasinghe, Jeewanthi Sirisena

    38th International Conference on Coastal Engineering (ICCE 2024)　2024年9月13日

  2. Assessment of Sediment Deposition and Shoreline Evolution at a Sandbar Port Breakwater: Two Case Studies in West Africa

    Lawson, S. K, Udo, K, Tanaka, H, Bamunawala, J

    The 21st Annual Meeting on Asia Oceania Geosciences Society (AOGS2024)　2024年6月26日

  3. Probabilistic Assessment of Future Shoreline Change along Inlet-Interrupted Coasts in Sri Lanka

    Janaka Bamunawala, Jeewanthi Sirisena

    11th International Conference on Asian and Pacific Coasts (APAC 2023)　2023年11月17日

  4. Influence of Ebb-Delta Dynamics on Evolution of Inlet-Interrupted Coasts

    Janaka Bamunawala, Roshanka Ranasinghe, Magnus Larson

    37th International Conference on Coastal Engineering (ICCE 2022)　2022年12月8日

  5. Coastal Zone under Changing Climate 招待有り

    Janaka Bamunawala

    International Conference on Innovation and Emerging Technologies 2022　2022年11月24日

  6. Rapid Assessment of Fluvial Sand Supply for Reduced Complexity Models of Coastline Change Adjacent to Tidal Inlets (Preliminary Results)

    Janaka Bamunawala, Shreedhar Maskey, Ad van der Spek, Dirk-Jan Walstra, Roshanka Ranasinghe

    PIANC-COPEDEC IX　2016年10月

  7. Impact of Climate Change on Extreme Wave Climate along the Western Coast of Sri Lanka

    Bamunawala. R. M. J, Hettiarachchi. S. S. L, Samarawickrama. S. P, Wickramanayake. P. N, Roshanka Ranasinghe

    8th ICE Coastal Management Conference　2015年9月8日

︎全件表示 ︎最初の5件までを表示

学術貢献活動 2

  1. Associate Editor

    2023年1月 ～ 継続中

    学術貢献活動種別: 審査・学術的助言

  2. Guest Editor

    2023年1月 ～ 継続中

    学術貢献活動種別: 審査・学術的助言