Your search found 15 records
1 Center for Water Resources, Anna University. 1988. Consultancy report on application of MIT simulation model to Kalu Ganga (Sri Lanka) and Narmada (India) river basins, submitted to World Meteorological Organization, Geneva. Madras, India: The Center. vii, 106p.
(Location: IWMI-HQ Call no: 631.7.1 G000 CEN Record No: H04301)
2 Sri Lanka. Ministry of Agriculture, Lands and Forestry; ADB. 1997. Upper watershed management study, Democratic Socialist Republic of Sri Lanka - Final report: Appendix 2 - Land resources, land use planning and watershed management, aspects (draft) Draft report prepared by LTS International Ltd, Resources Development Consultants and Hunting Technical Services Ltd. Project preparation technical assistance 2619. 65p.
(Location: IWMI-HQ Call no: P 4461 Record No: H020415)
3 Sri Lanka. Ministry of Agriculture, Lands and Forestry; ADB. 1997. Upper watershed management study, Democratic Socialist Republic of Sri Lanka - Final report: Appendix 4 - Soil conservation and agricultural aspects (draft) Draft report prepared by LTS International Ltd, Resources Development Consultants and Hunting Technical Services Ltd. Project preparation technical assistance 2619. 48p.
(Location: IWMI-HQ Call no: P 4463 Record No: H020417)
(1.75 MB)
4 Sri Lanka. Ministry of Agriculture, Lands and Forestry; ADB. 1997. Upper watershed management study, Democratic Socialist Republic of Sri Lanka - Final report: Appendix 8 - Initial environmental examination (draft) Draft report prepared by LTS International Ltd, Resources Development Consultants and Hunting Technical Services Ltd. Project preparation technical assistance 2619. ii, 60p.
(Location: IWMI-HQ Call no: P 4466 Record No: H020420)
5 Sri Lanka. Ministry of Agriculture, Lands and Forestry; ADB. 1997. Upper watershed management study, Democratic Socialist Republic of Sri Lanka - Final report: Appendix 9B - Economic and financial analysis (draft) Draft report prepared by LTS International Ltd, Resources Development Consultants and Hunting Technical Services Ltd. Project preparation technical assistance 2619. 51p.
(Location: IWMI-HQ Call no: P 4468 Record No: H020422)
6 Shand, R. T. (Ed.) 1990. Future directions for irrigation and agricultural diversification in Sri Lanka. Report of a study under the Public Sector Restructuring Project in Sri Lanka, for the World Bank and the Ministry of Finance and Planning, Government of Sri Lanka, Colombo, 1990. ix, 295p.
(Location: IWMI-HQ Call no: P 5302 Record No: H024909)
7 Medawewa, S. 1999. Proposed upper watershed management project. In Sri Lanka. Forest Department; Participatory Watershed Management Training in Asia (PWMTA). Proceedings of the Workshop on Watershed Management, Sri Lanka Forestry Institute, Nuwara Eliya, Sri Lanka, 24-25 April 1997. Battaramulla, Sri Lanka: Forest Department. pp.115-121.
(Location: IWMI HQ Call no: 333.91 G744 SRI Record No: H025395)
(Location: IWMI-HQ Call no: P 5464 Record No: H026431)
9 Wickramage, F. 2001. Upper watersheds management to stabilise ecology. Daily News, August 25:18.
(Location: IWMI-HQ Call no: P 5839 Record No: H028757)
(Location: IWMI-HQ Call no: e-copy only Record No: H033902)
(0.20 MB)
In the present study, the SWAT model and the Xinanjiang model have been used for daily flow forecasting of the Kalu River upper catchment in Sri Lanka. Kalu River is the second largest river in Sri Lanka and due to heavy rainfalls over the catchment, steep river slopes with narrow valleys in the upper catchment and mild riverbed slopes with wide and flat plains in the middle and lower catchments, the floods in Kalu River basin have become regular. The SWAT model has been used for daily river flow predictions in the Kalu River, and compared with the results obtained using the Xinanjiang model. In this study, the Xinanjiang model has performed slightly better than the SWAT model for forecasting the daily flow of Kalu River. In fact it might be partly attributable due to the poor quality and inadequate data, since the output of the SWAT (distributed model) strictly depends on the quality of input data. In addition, many people in Sri Lanka use well water for their domestic purposes. When considering a catchment as a whole, normally it is a very large area, and therefore it is not possible to record or count all the individual minor scale water utilizations in detail such as small irrigation, animal husbandry in minor scale and industrial water utilizations in minor scale. The cumulative value of such water utilizations might be large. The absence of these data may specially affect the distributed models in water balancing. But the conceptual watershed models (e.g. Xinanjiang model) are capable of adjusting their parameters while calibrating, according to the situation since most of their parameters have no physical background. As a result conceptual watershed models show better performance than distributed models where the catchment characteristics and model inputs are limited or incomplete.
11 Weragala, Neelanga. 2004. Estimation of monthly river flows for un-gauged catchments in Sri Lanka: a non-linear spatial interpolation approach. In Conference on Sri Lanka: current challenges, University of Colombo, Faculty of Graduate Studies, 17-18 December 2004. Proceedings. Vol. 1. Colombo, Sri Lanka: University of Colombo. pp.3-14.
(Location: IWMI-HQ Call no: IWMI 574.526323 G744 WER Record No: H035895)
12 Bastiaanssen, W. G. M.; Chandrapala, L. 2003. Water balance variability across Sri Lanka for assessing agricultural and environmental water use. Agricultural Water Management, 58(2):171-192.
(Location: IWMI-HQ Call no: PER, IWMI 631.7.1 G 744 BAS Record No: H031457)
(Location: IWMI HQ Call no: e-copy only Record No: H048451)
Selected rainfall characteristics derived by analyzing observed rainfall data in two Sri Lankan river basins (Malwathu Oya and Kalu Ganga) were compared with the perceptions of farmers. The rainfall characteristics used for this analysis are trends, onset and cessation dates, length of the growing period, number of rainy days, and length of the dry spell. Farmers’ perceptions of changes in those characteristics were collected through household surveys. The majority of farmers in both river basins failed to recognize the long-term upward trend in annual rainfall. They also failed to describe the adaptation measures they were currently practising.
(Location: IWMI HQ Call no: 631.7 G744 ARI Record No: H049386)
(2.45 MB)
(Location: IWMI HQ Call no: 631.7 G744 ARI Record No: H049385)
(1.77 MB)
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