Your search found 8 records
1 Sri Lanka. Ceylon Electricity Board. Generation Planning Branch. Transmission Division. 1999. Long term generation expansion plan, 1999-2013. Colombo, Sri Lanka: CEB. v.p.
Electricity supplies ; Electric power demand ; Hydroelectric schemes ; National planning ; Simulation models ; Energy ; Costs ; Fuels ; Financing ; Environmental effects ; Air pollution ; River basins / Sri Lanka / Samanalawewa / Laxapana / Mahaweli Project / Kotmale Project / Victoria Project / Maduru Oya Project / Kelani River Basin / Walawe River Basin / Gin Ganga Project / Uma Oya Project / Moragolla Project / Trincomalee / Puttalam
(Location: IWMI-HQ Call no: 351.8722 G744 SRI Record No: H026510)
2 Herath, S.; Pathirana, A.; Weerakoon, S. B. (Eds.) 2004. Proceedings of the International Conference on Sustainable Water Resources Management in the Changing Environment of the Monsoon Region. Bandaranaika Memorial International Conference Hall, Colombo, Sri Lanka, 17-19 November 2004. Vol.1. Colombo, Sri Lanka: National Water Resources Secretariat. 454p.
Water resource management ; River basins ; Stream flow ; Climate change ; Rainfall-runoff relationships ; Simulation models ; Hydrology ; Erosion ; Precipitation ; Natural disasters ; Flood control ; Irrigation management ; Mathematical models ; Recharge ; Aquifers / Sri Lanka / China / Albania / India / Pakistan / Australia / Bangladesh / Thailand / Japan / Uganda / Brunei / Kelani River Basin / Upper Kotmale Basin / Upper Mahaweli / Kandy Lake / Rekawa Lagoon / Walawe Basin / Deduru Oya / Yangtze River / Hilkot Watershed / Khlong U-Tapo River Basin / Khuwae Noi River Basin / Kerala / Tamil Nadu / Vaippar Basin / Bagmati Reservoir / Cauvery river / Achankovil River / Cuddalore Basin / Tokyo / Kallar River Basin
(Location: IWMI-HQ Call no: 333.91 G000 HER Record No: H039492)
3 Chandimala, J.; Zubair, L. 2004. Predictability of stream flow and rainfall in the Kelani River Basin in Sri Lanka using ENSO. In Herath, S.; Pathirana, A.; Weerakoon, S. B. (Eds.). Proceedings of the International Conference on Sustainable Water Resources Management in the Changing Environment of the Monsoon Region. Bandaranaika Memorial International Conference Hall, Colombo, Sri Lanka, 17-19 November 2004. Vol.1. Colombo, Sri Lanka: National Water Resources Secretariat. pp.9-15.
(Location: IWMI-HQ Call no: 333.91 G000 HER Record No: H039494)
4 Gomez, G. E. M.; Kodippili, A. A. 1998. An assessment of water resources in Kelani, Kalu and Maha Oya River Basins. Final report prepared for the Sri Lanka Water Resources Secretariat. 87p.
Water resources ; Water management ; River basins ; Hydrology ; Groundwater resources ; Water quality ; Water supply ; Water requirement ; Water balance ; Water availability ; Water use ; Water rates ; Irrigation ; Water power ; Flow discharge ; Social aspects ; Sand ; Deforestation ; Downstream ; Upstream / Sri Lanka / Kelani River Basin / Kalu River Basin / Maha Oya River Basin
(Location: IWMI HQ Call no: 333.91 G000 GOM Record No: H046034)
(1.03 MB)
5 Alahacoon, Niranga; Pani, Peejush; Matheswaran, Karthikeyan; Samansiri, S.; Amarnath, Giriraj. 2016. Rapid emergency response mapping for the 2016 floods in Kelani river basin, Sri Lanka. Paper presented at the 37th Asian Conference on Remote Sensing (ACRS): Promoting Spatial Data Infrastructure for Sustainable Economic Development, Colombo, Sri Lanka, 17-21 October 2016. 9p.
Natural disasters ; Disaster preparedness ; Flooding ; Emergency relief ; River basins ; Radar satellite ; Satellite imagery ; Landslides ; Remote sensing / Sri Lanka / Kelani River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H047943)
Beginning on 14 May 2016, a low pressure area over the Bay of Bengal caused torrential rain to fall across Sri Lanka. Some locations saw over 350 mm (13.77 inches) of rain fall in 24 hours. Floods and landslides have caused havoc in as many as 19 districts of the country, including around Colombo, causing floods and landslides which affected half a million people with causality reported over 100 and estimated economic losses closer to $2billion. In recent years, due to an increasing number in the frequency and intensity of extreme meteorological events potentially related to climate change, a growing attention has been paid to the operational use of satellite remote sensing applied to emergency response and relief measures. This is mainly due to the large and timely availability of different types of remotely sensed data as well as geospatial information acquired in the field which may be potentially exploited in the different phases of the disaster management cycle. IWMI jointly with Disaster Management Centre (DMC), Sri Lanka activated disaster charter with Sentinel Asia and escalated International Disaster Charter to access satellite images during the crisis response phase to support government agencies in relief and rescue measures. A total of 13 satellite images both microwave and optical datasets (ALOS-2, Sentinel-1, RISAT-1, RADARSAT-2, TerraSAR-X, FORMOSAT, Landsat-8) were provided by various space agencies to generate flood situation maps on a daily basis. The emergency flood situation maps were regularly shared to national and international organizations within 3-4 hours after the post-event image is acquired by the space agencies to support in relief measures. The derived flood maps were overlaid with local administrative division to give specific information on the priority area to the DMC and Air Force authorities to focus relief measures. These rapid response maps can further be used for postdisaster relief policy and damage assessment.
6 Liyanaarachchi, P. 2017. Sri Lankawe ganwathura upadrawaya: kriyawaliya, balapema ha kalamanakaranaya. In Sinhalese. [Flood hazard in Sri Lanka: process, impact and management]. Kaduwela, Sri Lanka: Author. 161p.
Flooding ; Flood control ; Weather hazards ; Disaster risk management ; Disaster risk reduction ; Impact assessment ; Forecasting ; Early warning systems ; Disaster preparedness ; Integrated management ; Human behaviour ; State intervention ; Development projects ; Urban areas ; Rain / Sri Lanka / Kelani River Basin / Nilwala River Basin / Gin Ganga / Colombo
(Location: IWMI HQ Call no: 627.4 G744 LIY Record No: H049109)
(0.56 MB)
7 Fayas, C. M.; Abeysingha, N. S.; Nirmanee, K. G. S.; Samaratunga, D.; Mallawatantri, A. 2019. Soil loss estimation using RUSLE model to prioritize erosion control in Kelani River Basin in Sri Lanka. International Soil and Water Conservation Research, 7(2):130-137. [doi: https://doi.org/10.1016/j.iswcr.2019.01.003]
Revised Universal Soil Loss Equation ; Estimation ; Soil erosion models ; Erosion control ; Land degradation ; Land use mapping ; Land cover mapping ; River basins ; Slope ; Rain ; Runoff / Sri Lanka / Kelani River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H049211)
https://www.sciencedirect.com/science/article/pii/S2095633918301734/pdfft?md5=a3753a3c707e963d96f83f94ed76ed9d&pid=1-s2.0-S2095633918301734-main.pdf
https://vlibrary.iwmi.org/pdf/H049211.pdf
https://vlibrary.iwmi.org/pdf/H049211.pdf
(3.17 MB) (3.17 MB)
Soil erosion contributes negatively to agricultural production, quality of source water for drinking, ecosystem health in land and aquatic environments, and aesthetic value of landscapes. Approaches to understand the spatial variability of erosion severity are important for improving landuse management. This study uses the Kelani river basin in Sri Lanka as the study area to assess erosion severity using the Revised Universal Soil Loss Equation (RUSLE) model supported by a GIS system. Erosion severity across the river basin was estimated using RUSLE, a Digital Elevation Model (15 15 m), twenty years rainfall data at 14 rain gauge stations across the basin, landuse and land cover, and soil maps and cropping factors. The estimated average annual soil loss in Kelani river basin varied from zero to 103.7 t ha-1 yr1 , with a mean annual soil loss estimated at 10.9 t ha1 yr1 . About 70% of the river basin area was identified with low to moderate erosion severity (o12 t ha1 yr1 ) indicating that erosion control measures are urgently needed to ensure a sustainable ecosystem in the Kelani river basin, which in turn, is connected with the quality of life of over 5 million people. Use of this severity information developed with RUSLE along with its individual parameters can help to design landuse management practices. This effort can be further refined by analyzing RUSLE results along with Kelani river sub-basins level real time erosion estimations as a monitoring measure for conservation practices.
8 Wijeratne, V. P. I. S.; Li, G. 2022. Urban sprawl and its stress on the risk of extreme hydrological events (EHEs) in the Kelani River Basin, Sri Lanka. International Journal of Disaster Risk Reduction, 68:102715. [doi: https://doi.org/10.1016/j.ijdrr.2021.102715]
River basins ; Hydrological cycle ; Extreme weather events ; Floods ; Land use ; Land cover ; Urban areas ; Geographical information systems ; Remote sensing ; Landsat ; Climate change ; Water levels ; Models ; Normalized difference vegetation index / Sri Lanka / Kelani River Basin / Colombo
(Location: IWMI HQ Call no: e-copy only Record No: H050785)
(10.00 MB)
Land modification and urban sprawl cause incremental changes in hydrological processes due to the results of novel or hybrid ecosystems. This study mainly investigated the unforeseen urban expansion in the lower Kelani River basin, Sri Lanka, and its impact on the increment of hydrological extremes. Remote sensing data, including night-time light images (NOAA/AVHRR) and Landsat (TM/ETM+/OLI) data of different wavelengths, were analysed in this study. Land use and land cover data of the river basin were obtained from 1995. Shannon's entropy was used to demarcate urban sprawl in the river basin over nearly two decades. A spatial regression model was built to identify the correlation between increments of hydrological extremes and urban sprawl. This study revealed that the Kelani River basin has experienced a high urban sprawl rate over the past 23 years and that the total urban land area has increased by 130%. The flood risk analysis revealed that the flood frequency has also dramatically increased due to urban sprawl, and nearly 20 minor flood events have been recorded over the last two decades. Most of the urban areas situated in the lower river basin have invaded into the area with a higher flood risk, and the total flood damage has increased over the study period. The built-up land extent increased from 24.07 km2 to 56.39 km2. In 2018, the flood plain and the lower basin were mostly occupied by human settlements. Therefore, it is essential to improve current policies and mitigation plans to minimize the negative impact of rapid urban sprawl in the study area.
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