Your search found 5 records
1 Raschid-Sally, L.; van der Hoek, W.; Ranawaka, M. (Eds.) 2001. Wastewater reuse in agriculture in Vietnam: water management, environment and human health aspects. Proceedings of a workshop held in Hanoi, Vietnam, 14 March 2001. Colombo, Sri Lanka: International Water Management Institute (IWMI). vii, 48p. (IWMI Working Paper 030) [doi: https://doi.org/10.3910/2009.159]
Water management ; Wastewater ; Water reuse ; Irrigated farming ; Water quality ; Rice ; Paddy fields ; Aquaculture ; Public health ; Risks ; Disease vectors ; Waterborne diseases ; Wells ; Agricultural development ; Water law ; Water resources ; Rural development ; Water supply ; Sanitation ; Models ; Software ; Groundwater extraction ; Domestic water ; Reservoirs ; Ponds ; Coffee / Vietnam / Hoa Khanh / Bau Tram Reservoir / Red River Delta / Hanoi / Thanh Tri District / Nhue Irrigation System / West Lake
(Location: IWMI-HQ Call no: IWMI 631.7.5 G784 RAS Record No: H029032)
(1.03MB)
This working paper contains the proceedings of the workshop that was organized on 14 March 2001 in Hanoi, gathering experts from the various disciplines such as health, environment,water resources management, irrigation, agriculture, soil sciences, water quality, etc. to discuss the findings of 16 papers on different aspects of wastewater reuse. The proceedings of this workshop are presented here in summary form, which we hope will provide a bird's-eye view of the current knowledge in Vietnam on this subject to a wide spectrum of interested persons.
2 Chemin, Yann; Sanjaya, Niroshan; Liyanage, Panni Kankanamlage Nirosha Chandani. 2014. An open source hardware and software online raingauge for real-time monitoring of rainwater harvesting in Sri Lanka. In Lanka Rain Water Harvesting Forum. Proceedings of the 11th Symposium on Mainstreaming Rainwater Harvesting as a Water Supply Option, Colombo, Sri Lanka, 5 September 2014. Colombo, Sri Lanka: Lanka Rain Water Harvesting Forum. pp.13-19.
Rain ; Water harvesting ; Monitoring ; Meteorological stations ; Information technology ; Software ; Climate change / Sri Lanka
(Location: IWMI HQ Call no: e-copy only Record No: H046858)
(0.32 MB)
3 Eriyagama, Nishadi; Smakhtin, Vladimir; Jinapala, K. 2016. The Sri Lanka environmental flow calculator: a science-based tool to support sustainable national water management. Water Policy, 18:480-492. [doi: https://doi.org/10.2166/wp.2015.158]
Environmental flows ; Water resources ; Water management ; Water power ; Water allocation ; Sustainability ; Ecological control ; Environmental impact assessment ; River basin development ; Stream flow ; Policy making ; Software ; Hydrological regime / Sri Lanka / Ullapane / Mederipitiya / Mahaweli River
(Location: IWMI HQ Call no: e-copy only Record No: H047276)
http://wp.iwaponline.com/content/ppiwawaterpol/18/2/480.full.pdf
https://vlibrary.iwmi.org/pdf/H047276.pdf
https://vlibrary.iwmi.org/pdf/H047276.pdf
(0.44 MB)
As Sri Lankan water resources are being increasingly exploited, particularly for hydropower and irrigation, ecologists, water practitioners and policymakers alike are realizing the importance of protecting these resources and setting environmental sustainability thresholds. Environmental Flows (EF) - the concept that helps define such thresholds – has now become an integral part of environmental impact assessments of river basin development projects. Considering EF is especially vital in the context of the accelerated infrastructure development program, launched after the end of the war in the north and the east of the country in 2009. This paper describes a simple, user-friendly software tool that facilitates quick, first-hand estimation of EF in Sri Lankan rivers. The tool uses ‘natural’ or ‘unregulated’ monthly flow time series, at any river location to construct a flow duration curve that is then modified depending on the desired condition of a river – an environmental management class – to generate an EF time series. The tool includes historical flow records from 158 gauged locations, but users may also feed in (observed/simulated) external data. The paper illustrates the application of the tool at two locations of existing/ planned infrastructure projects and discusses its usefulness as a policy tool.
4 Hussain, Asghar; Baker, Tracy. 2016. Tana River Basin, Kenya: geodatabase and mapping tool. User guide. Colombo, Sri Lanka: International Water Management Institute (IWMI). 138p. [doi: https://doi.org/10.5337/2016.210]
Administration ; Infrastructure ; Geography ; Land use ; Land cover ; Living standards ; River basin management ; Watersheds ; Guidelines ; Software ; Imagery ; GIS ; Mapping ; Meteorological stations ; Temperature ; Soils ; Irrigation ; Farming systems ; Water power ; Dams ; Population density ; Demography ; Natural resources ; Environmental effects ; Urban areas ; Rangelands ; Water resources / Kenya / Tana River Basin
(Location: IWMI HQ Call no: IWMI Record No: H047737)
(2 MB)
5 Rocchini, D.; Petras, V.; Petrasova, A.; Chemin, Yann; Ricotta, C.; Frigeri, A.; Landa, M.; Marcantonio, M.; Bastin, L.; Metz, M.; Delucchi, L.; Neteler, M. 2017. Spatio-ecological complexity measures in GRASS GIS. Computers & Geosciences, 104:166-176. [doi: https://doi.org/10.1016/j.cageo.2016.05.006]
(Location: IWMI HQ Call no: e-copy only Record No: H047914)
Good estimates of ecosystem complexity are essential for a number of ecological tasks: from biodiversity estimation, to forest structure variable retrieval, to feature extraction by edge detection and generation of multifractal surface as neutral models for e.g. feature change assessment. Hence, measuring ecological complexity over space becomes crucial in macroecology and geography. Many geospatial tools have been advocated in spatial ecology to estimate ecosystem complexity and its changes over space and time. Among these tools, free and open source options especially offer opportunities to guarantee the robustness of algorithms and reproducibility. In this paper we will summarize the most straightforward measures of spatial complexity available in the Free and Open Source Software GRASS GIS, relating them to key ecological patterns and processes.
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