Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Mahesh Edirisinghe"'
Autor:
Niranga Alahacoon, Mahesh Edirisinghe
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 13, Iss 1, Pp 762-799 (2022)
This study reports a comprehensive review on drought indices used in monitoring meteorological, agricultural, hydrological, and socio-economic drought. Drought indices have been introduced as an important approach to quantitative and qualitative calc
Externí odkaz:
https://doaj.org/article/45cda713b5f84552b4b163f7fa1f1ef1
Publikováno v:
Advances in Meteorology, Vol 2023 (2023)
This study presents an analysis of long-term rainfall variability and trends in the summer monsoon region of Southeast Asia, encompassing Lao People’s Democratic Republic (Lao PDR), Thailand, Vietnam, Cambodia, and Myanmar, as well as their respect
Externí odkaz:
https://doaj.org/article/756aab1cbd7d4c6aa1ba0b61b8793883
Autor:
U. G. D. Maduranga, Mahesh Edirisinghe
Publikováno v:
International Journal of Disaster Management, Vol 4, Iss 3, Pp 29-50 (2021)
This study reported lightning climatology and human vulnerability to lightning in a 20 km × 20 km high-density school area in Colombo city in Sri Lanka from 1998 to 2014 using Lightning Imaging Sensor (LIS) flash data of NASA’s Tropical Rainfall M
Externí odkaz:
https://doaj.org/article/f40fa70052064519b5225623eee58eea
Autor:
Vindhya Kalapuge, Dilaj Maduranga, Niranga Alahacoon, Mahesh Edirisinghe, Rushan Abeygunawardana, Manjula Ranagalage
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 2, p 67 (2023)
The study was conducted to analyze spatial and temporal variations of lightning activity over Sri Lanka and the surrounding coastal belt region bounded by 5.75–10.00 N and 79.50–89.00 E. Flash data collected by the Lightning Imaging Sensor (LIS)
Externí odkaz:
https://doaj.org/article/22e0620ac9a646ccb63e30084189d761
Autor:
Niranga Alahacoon, Mahesh Edirisinghe
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5324 (2022)
Most of the drought indices designed for hydrological drought monitoring use location-specific data, while there are only a handful of indices designed for hydrological drought monitoring using remote sensing data. This study revealed a novel drought
Externí odkaz:
https://doaj.org/article/a9a4b31e76fe4095817a60b4df5bcd3a
Publikováno v:
Infrastructures, Vol 7, Iss 7, p 92 (2022)
This study is oriented towards the investigation of the spatiotemporal variability of the lightning activity over the railway network in Sri Lanka using -lightning data from 1998 to 2014 that were downloaded from the database of Lightning Imaging Sen
Externí odkaz:
https://doaj.org/article/d390dbd694384c3bbee53f977725c37d
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2021 (2021)
Electrical equipment and supply cables demand a better quality of supply, with the recent advancements in integrated sensitive solid-state controls. Divergently, proliferated heavy inductive motors and some performance additions based on power electr
Externí odkaz:
https://doaj.org/article/faa3d98e9d8c4648b7ba62e8d89c594f
Autor:
Niranga Alahacoon, Mahesh Edirisinghe, Matamyo Simwanda, ENC Perera, Vincent R. Nyirenda, Manjula Ranagalage
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 96 (2021)
This study reveals rainfall variability and trends in the African continent using TAMSAT data from 1983 to 2020. In the study, a Mann–Kendall (MK) test and Sen’s slope estimator were used to analyze rainfall trends and their magnitude, respective
Externí odkaz:
https://doaj.org/article/22e2b016043e4324958131170683cd40
Autor:
Niranga Alahacoon, Mahesh Edirisinghe
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 2, p 84 (2021)
Analysis of long-term rainfall trends provides a wealth of information on effective crop planning and water resource management, and a better understanding of climate variability over time. This study reveals the spatial variability of rainfall trend
Externí odkaz:
https://doaj.org/article/7bfc0055afbf4c26b2cf696c379b513d
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 3, p 117 (2021)
The reported lightning accidents that are available in the DesInventar database—which consist of 549 deaths, 498 injured people, 39 destroyed houses, and 741 damaged houses—were analyzed in terms of their geographical and temporal variation. The
Externí odkaz:
https://doaj.org/article/dd80fffa0f934db8969ac5e41aed2eb4