A Case Study of the Samanalawewa Reservoir on the Walawe River in an Area of Karst in Sri Lanka

Laksiri, Kamal; Gunathilake, Jagath; Iwao, Yushiro

doi:10.1061/40796(177)27

Cited by 6 publications

(4 citation statements)

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“…Even with a significant leak from the reservoir, the power plant produces an acceptable power generation throughout the year. The leak was initially started at a rate of 7 m 3 /s; however, later stabilized to 2.5 -2 m 3 /s [10], [28].…”

Section: Methodology and Case Study Applicationmentioning

confidence: 99%

Climate Variation and Hydropower Generation in Samanalawewa Hydropower Scheme, Sri Lanka

Dabare¹,

Gunathilake

Miguntanna³

et al. 2020

Engineer

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Climate variation is a challenging scenario on water resources. Therefore, runoffbased hydropower development stations are at an alarming situation across the world and the hydropower industry has significantly been affected. Therefore, it would be interesting to understand the impact of climate change on hydropower development in a country, where a significant energy contribution takes place by the renewable hydropower. However, such studies in Sri Lanka are limited mainly due to data scarcity. Nevertheless, this study was carried out to understand the relationships between the rainfall and the hydropower development in one of the major hydropower developments in Sri Lanka, Samanalawewa hydropower station. Non-parametric statistical trend analyses were carried out to the monthly rainfall over 26 years for the catchment rainfall. As the initial step, the link between rainfall and hydropower development was tested using the Pearson's correlation coefficient. Interestingly, results revealed positive rainfall trends over the catchment. The correlation coefficient suggests that there is an acceptable correlation between the rainfall and the hydropower development. However, non-linear analysis is proposed to achieve more sound conclusions. Initial results revealed that there is no adverse impact to the inflow of the reservoir due to the ongoing climate change.

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Section: Methodology and Case Study Applicationmentioning

confidence: 99%

Climate Variation and Hydropower Generation in Samanalawewa Hydropower Scheme, Sri Lanka

Dabare¹,

Gunathilake

Miguntanna³

et al. 2020

Engineer

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“…It contributes to 8.69% out of all large hydropower systems in generating power to meet electricity demand in Sri Lanka. is project, starting from its construction, has gained significant attraction due to the water leakage problem encountered from the right bank of the dam because of the poor geologic condition [55]. In addition, there were several environmental concerns during the project planning phase; however, no greater attention was given as there were no strict environmental regulation obligatory in major development works [56].…”

Section: Study Areamentioning

confidence: 99%

Projection of Future Hydropower Generation in Samanalawewa Power Plant, Sri Lanka

Khaniya

Karunanayake

Gunathilake

et al. 2020

Mathematical Problems in Engineering

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The projection of future hydropower generation is extremely important for the sustainable development of any country, which utilizes hydropower as one of the major sources of energy to plan the country’s power management system. Hydropower generation, on the other hand, is mostly dependent on the weather and climate dynamics of the local area. In this paper, we aim to study the impact of climate change on the future performance of the Samanalawewa hydropower plant located in Sri Lanka using artificial neural networks (ANNs). ANNs are one of the most effective machine learning tools for examining nonlinear relationships between the variables to understand complex hydrological processes. Validated ANN model is used to project the future power generation from 2020 to 2050 using future projected rainfall data extracted from regional climate models. Results showcased that the forecasted hydropower would increase in significant percentages (7.29% and 10.22%) for the two tested climatic scenarios (RCP4.5 and RCP8.5). Therefore, this analysis showcases the capability of ANN in projecting nonstationary patterns of power generation from hydropower plants. The projected results are of utmost importance to stakeholders to manage reservoir operations while maximizing the productivity of the impounded water and thus, maximizing economic growth as well as social benefits.

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“…To control that leak, the "Wet Blanketing" method was used. There is still a leak which is about 1.8 m 3 s −1 (Laksiri et al, 2005).…”

Section: Introductionmentioning

confidence: 98%

Farmer Adaptation to Climate Variability and Soil Erosion in Samanalawewa Catchment in Sri Lanka

Udayakumara

2021

Climate Change and Community Resilience

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The Samanalawewa catchment is considered one of the most important catchments in Sri Lanka because of its diverse land uses. Hence, this study examines the long-term effects on climate variability, soil erosion soil erosion, and adoption of soil and water conservation (SWC) measures in the Samanalawewa reservoir. Rainfall and temperature data indicated that annual rainfall decreased from 1922 to 2008 by an average of 5.5 mm per year while the average annual temperature increased from 1973 to 2008 at a rate of 0.02 °C per year. Moreover, model-based soil erosion assessment disclosed that the rate of soil erosion ranges from 0 to 289 t per ha per year with an average of 4.3 t per ha per year.

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A Case Study of the Samanalawewa Reservoir on the Walawe River in an Area of Karst in Sri Lanka

Cited by 6 publications

References 0 publications

Climate Variation and Hydropower Generation in Samanalawewa Hydropower Scheme, Sri Lanka

Climate Variation and Hydropower Generation in Samanalawewa Hydropower Scheme, Sri Lanka

Projection of Future Hydropower Generation in Samanalawewa Power Plant, Sri Lanka

Farmer Adaptation to Climate Variability and Soil Erosion in Samanalawewa Catchment in Sri Lanka

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