TY - JOUR
T1 - Impact of climate variability on hydropower generation in an un-gauged catchment
T2 - Erathna run-of-the-river hydropower plant, Sri Lanka
AU - Perera, Anushka
AU - Rathnayake, Upaka
N1 - Publisher Copyright:
© 2019, The Author(s).
PY - 2019/4
Y1 - 2019/4
N2 - Impact of climate change or climate variability on water resources is an exceedingly concerned issue. Hydropower development is one of the most affected industries due to the climatic variability. Therefore, this paper presents the promising results from a study of the impact of climate variability on hydropower generation of Erathna run-of-the-river (ROR) hydropower plant located in Rathnapura district, Sri Lanka. This study was based on surrounded rain gauges outside the catchment as Erathna catchment area is an un-gauged catchment. 30-year rainfall trend analysis from 1988 to 2017 was done using Mann–Kendall and Sen’s slope estimator tests to predict the available trends. Pearson’s correlation coefficient was used to investigate the relationship between rainfall and Erathna power generation. Results show negative trends for annual rainfalls in several rain gauges, while seasonal trend analyses support that observation. July is the most critical month for most of the rain gauges around the catchment. The results also show a good correlation between the rainfalls and power generation. Therefore, the results conclude the importance of rainfall trend analysis in un-gauged catchments and its forecasting capacity of water resources usage in hydropower development.
AB - Impact of climate change or climate variability on water resources is an exceedingly concerned issue. Hydropower development is one of the most affected industries due to the climatic variability. Therefore, this paper presents the promising results from a study of the impact of climate variability on hydropower generation of Erathna run-of-the-river (ROR) hydropower plant located in Rathnapura district, Sri Lanka. This study was based on surrounded rain gauges outside the catchment as Erathna catchment area is an un-gauged catchment. 30-year rainfall trend analysis from 1988 to 2017 was done using Mann–Kendall and Sen’s slope estimator tests to predict the available trends. Pearson’s correlation coefficient was used to investigate the relationship between rainfall and Erathna power generation. Results show negative trends for annual rainfalls in several rain gauges, while seasonal trend analyses support that observation. July is the most critical month for most of the rain gauges around the catchment. The results also show a good correlation between the rainfalls and power generation. Therefore, the results conclude the importance of rainfall trend analysis in un-gauged catchments and its forecasting capacity of water resources usage in hydropower development.
KW - Climate variation
KW - Erathna hydropower plant
KW - Mann–Kendall test
KW - Monthly rainfall
KW - Trend analysis
UR - http://www.scopus.com/inward/record.url?scp=85133677876&partnerID=8YFLogxK
U2 - 10.1007/s13201-019-0925-9
DO - 10.1007/s13201-019-0925-9
M3 - Article
AN - SCOPUS:85133677876
SN - 2190-5487
VL - 9
JO - Applied Water Science
JF - Applied Water Science
IS - 3
M1 - 57
ER -