Your search found 81 records
1 Peterson, R.G. 1994. Agriculture field experiments: Design and analysis. New York, NY, USA: M. Dekker. x, 409p.: ill.; 24 cm.
(Location: IWMI-SEA Call no: 630.724 G000 PET Record No: BKK-181)
2 Fan, T.; Wang, S.; Xiaoming, T.; Luo, J.; Stewart, B. A.; Gao, Y. 2005. Grain yield and water use in a long-term fertilization trial in Northwest China. Agricultural Water Management, 76(1):36-52.
Evapotranspiration ; Water use efficiency ; Crop production ; Water stress ; Statistical methods ; Maize ; Wheat ; Yields / China
(Location: IWMI-HQ Call no: PER Record No: H037132)
3 Fink, A. (Ed.) 2003. The survey kit. Vol.9. How to manage, analyze, and interpret survey data, by A. Fink. 2nd ed. Thousand Oaks, CA, USA: Sage. 141p. (Survey Kit)
(Location: IWMI-HQ Call no: 300.723 G000 SUR Record No: H039093)
4 Abbaspour, M.; Sabetraftar, A. 2005. Review of cycles and indices of drought and their effect on water resources, ecological, biological, agricultural, social and economical issues in Iran. International Journal of Environmental Studies, 62(6):709-724.
Drought ; Indicators ; Statistical methods ; Water resources ; Ecology ; Biology ; Livestock ; Precipitation ; Social aspects ; Economic aspects / Iran
(Location: IWMI-HQ Call no: P 7610 Record No: H039282)
5 Hirsch, R. M.; Slack, J. R.; Smith, R. A. 1982. Techniques of trend analysis for monthly water quality data. Water Resources Research, 18(1):107-121. [doi: https://doi.org/10.1029/WR018i001p00107]
Water quality ; Water analysis ; Hydrology ; Statistical methods ; Regression analysis ; Time series analysis / USA / Klamath River / California
(Location: IWMI-HQ Call no: P 7632 Record No: H039339)
(2.52 MB)
6 Taylor, C. J.; Pedregal, D. J.; Young, P. C.; Tych, W. 2007. Environmental time series analysis and forecasting with the Captain toolbox. Environmental Modelling and Software, 22:797-814.
Time series analysis ; Statistical methods ; Stochastic process ; Forecasting ; Models ; Environmental effects
(Location: IWMI-HQ Call no: P 7714 Record No: H039663)
7 McAleer, M.; Jakeman, A. (Eds.) 1993. International Congress on Modelling and Simulation: Proceedings, Volume 1, The University of Western Australia, 6-10 December 1993. Perth, Australia: University of Western Australia. 454p.
Simulation models ; Sensitivity analysis ; Statistical methods ; Time series analysis ; Rainfall-runoff relationships ; Water balance ; Catchment areas ; Climate change ; Environmental degradation ; Ecology ; Stream flow ; Water quality ; Air pollution ; Neural networks ; Salinity / Australia / UK / USA / Russian Federation / China / Denmark / Brazil / Picaninny Creek / Wales / Plynlimon Catchments / Bass River / Queanbeyan River
(Location: IWMI HQ Call no: 003.3 G000 MCA Record No: H040378)
International Congress organised by Modelling and Simulation Society of Australia (MSSA), Inc., International Association for Mathematics and Computers in Simulation (IMACS), International Society for Ecological Modelling, and The International Environmetrics Society.
8 McAleer, M.; Jakeman, A. (Eds.) 1993. International Congress on Modelling and Simulation: Proceedings, Volume 2, The University of Western Australia, 6-10 December 1993. Perth, Australia: University of Western Australia. pp.455-916.
Simulation models ; Ecology ; Ecosystems ; Mangroves ; Monitoring ; Statistical methods ; Time series analysis ; Rainfall-runoff relationships ; Stream flow ; Watersheds ; Water quality ; Climate change ; Econometric models ; Water pollution ; Salt water intrusion ; Groundwater ; Recharge ; Rain ; Forecasting ; Forestry ; Deforestation ; Industrialization / China / USA / Canada / Australia / Japan
(Location: IWMI HQ Call no: 003.3 G000 MCA Record No: H040379)
International Congress organised by Modelling and Simulation Society of Australia (MSSA), Inc., International Association for Mathematics and Computers in Simulation (IMACS), International Society for Ecological Modelling, and The International Environmetrics Society.
9 Galagedara, L. W. (Ed.) 2005. Water resources research in Sri Lanka: symposium proceedings of the Water Professional’s Day 2005. Peradeniya, Sri Lanka: University of Peradeniya, Post Graduate Institute of Agriculture. 215p.
Water resource management ; Irrigation programs ; Soil properties ; Statistical methods ; Canals ; Sprinkler irrigation ; Pumps ; Water harvesting ; Tanks ; Water policy ; Drip irrigation ; Groundwater ; Water quality ; Nitrates ; Chlorides ; Lagoons ; Climate ; Forecasting ; Models ; Time series analysis ; Models ; Aquifers / Sri Lanka / Walawe Basin / Uda Walawe Irrigation Scheme / Moneragala District / Hambantota / Jaffna / Colombo / Batticaloa
(Location: IWMI HQ Call no: IWMI 631.7 G744 GAL Record No: H040700)
10 Inocencio, Arlene; Maruyama, Atsushi; Tonosaki Manabu; Merrey, Douglas J.; Kikuchi, Masao. 2007. Are irrigation projects in Sub-Saharan Africa prohibitively expensive?: Evidence from new data and insights for future investments. Unpublished report. 36p.
(Location: IWMI HQ Call no: IWMI 631.7.8 G110 INO Record No: H040758)
This paper uses 314 irrigation projects implemented from 1960-2000 in six regions worldwide to identify: (1) whether the perception of high cost of irrigation projects in SSA can be empirically supported; (2) what factors determine the costs and performance of irrigation projects; and (3) whether there are cheaper and better performing irrigation investments for SSA. This study shows that the popular view that African irrigation projects are prohibitively expensive is not tenable, and demonstrates that there are viable investment options for irrigation development in SSA.
11 De Silva, R. P.; Gunasena, C. P. 2006. Spatial statistics: theory and applications. 2nd Ed. Peradeniya, Sri Lanka: Geo-Informatics Society of Sri Lanka (GISSL) 297p.
Statistical methods ; GIS ; Spatial information ; Hydrology ; Water supply ; Drinking water ; Natural resources management ; Time series / Sri Lanka / Hambantota District / Kurunegala District / Mahailluppallama
(Location: IWMI HQ Call no: 526.0285 744 DES Record No: H040755)
(0.41 MB)
12 Makombe, Godswill; Kelemework, D.; Aredo, D. 2007. A comparative analysis of rainfed and irrigated agricultural production in Ethiopia. Irrigation and Drainage Systems, 21:35-44.
Irrigation programs ; Irrigated farming ; Rainfed farming ; Productivity ; Analysis ; Food security ; Food aid ; Data collection ; Statistical methods ; Households / Ethiopia / Rift Valley / Doni / Batu Degaga / Godino
(Location: IWMI HQ Call no: IWMI 338.1 G136 MAK Record No: H040784)
Ethiopia’s economy is dependent on agriculture which contributes more than 50% to GDP, about 60% to foreign exchange earning and provides livelihood to more than 85% of the population. Ethiopia has a large potential of water resources that could be developed for irrigation. Despite the large water resources, Ethiopia continues to receive food aid to about 10% of the population who are at risk annually, out of a total of more than 67 million. The government of Ethiopia is committed to solving this paradox through an agricultural led development program that includes irrigation development as one of the strategies. This paper compares rainfed and irrigated agricultural production in Ethiopia. Using the stochastic production frontier approach, the study concludes that irrigation development in Ethiopia is a viable development strategy but attention needs to be paid to improving the technology available to farmers under both rainfed and irrigated production.
13 Yin, Y.; Clinton, N.; Luo, B.; Song, L. 2008. Resource system vulnerability to climate stresses in the Heihe River Basin of Western China. In Leary, N.; Conde, C.; Kulkarni, J.; Nyong, A.; Pulhin, J. (Eds.). Climate change and vulnerability. London, UK: Earthscan. pp.88-114.
Rivers ; Climate change ; Risks ; Indicators ; Statistical methods ; Case studies ; Mapping / China / Heihe River Basin
(Location: IWMI HQ Call no: 304.25 G000 LEA Record No: H040831)
14 Poate, C. D.; Daplyn, P. F. 1993. Data for agrarian development. New York, USA: Cambridge University Press. 387p. (WYE Studies in Agricultural and Rural Development)
Agricultural Economics ; Rural development ; Research methods ; Surveys ; Sampling ; Statistical methods ; Data collection ; Data processing ; Data analysis ; Questionnaires
(Location: IWMI-HQ Call no: 338.1 G000 POA Record No: H041132)
15 Briet, Olivier J. T.; Vounatsou, Penelope; Gunawardena, Dissanayake M.; Galappaththy, Gawrie N. L.; Amerasinghe, Priyanie H. 2008. Models for short term malaria prediction in Sri Lanka. Malaria Journal, 7(76):11p.
(Location: IWMI HQ Call no: IWMI 616.9362 BRI Record No: H041349)
16 Briet, Olivier J. T.; Vounatsou, P.; Amerasinghe, Priyanie H. 2008. Malaria seasonality and rainfall seasonality in Sri Lanka are correlated in space. Geospatial Health, 2(2):183-190.
(Location: IWMI HQ Call no: IWMI 614.532 G744 BRI Record No: H041642)
17 Gaur, A. S.; Gaur, S. S. 2006. Statistical methods for practice and research: a guide to data analysis using SPSS. New Delhi, India: Response Books. 171p.
(Location: IWMI HQ Call no: 005.55 G000 GAU Record No: H041762)
18 Singh, K. 2007. Quantitative social research methods. New Delhi, India: Sage. 432p.
Research methods ; Social sciences ; Data analysis ; Statistical methods ; Computer software ; Water resource management ; Poverty ; Rural development ; Natural resources management
(Location: IWMI HQ Call no: 005.55 G000 SIN Record No: H041763)
19 van de Giesen, N.; Liebe, J.; Andah, W.; Andreini, Marc. 2008. Assessing the hydrological impact of ensembles of small reservoirs. In Humphreys, E.; Bayot, R. S.; van Brakel, M.; Gichuki, F.; Svendsen, M.; Wester, P.; Huber-Lee, A.; Cook, S. Douthwaite, B.; Hoanh, Chu Thai; Johnson, N.; Nguyen-Khoa, Sophie; Vidal, A.; MacIntyre, I.; MacIntyre, R. (Eds.). Fighting poverty through sustainable water use: proceedings of the CGIAR Challenge Program on Water and Food, 2nd International Forum on Water and Food, Addis Ababa, Ethiopia, 10-14 November 2008. Vol.3. Water benefits sharing for poverty alleviation and conflict management; Drivers and processes of change. Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food. pp.27-31.
Reservoirs ; Hydrology ; Assessment ; Statistical methods ; Remote sensing ; Simulations ; Irrigation efficiency ; Rural areas / Ghana / Burkina Faso / Volta River Basin
(Location: IWMI HQ Call no: IWMI 333.91 G000 HUM Record No: H041848)
http://cgspace.cgiar.org/bitstream/handle/10568/3708/IFWF2_proceedings_Volume%20III.pdf?sequence=1
https://vlibrary.iwmi.org/pdf/H041848.pdf
https://vlibrary.iwmi.org/pdf/H041848.pdf
(0.19 MB)
20 Laamrani, H.; Madsen, H.; Boelee, Eline. 2009. Micro-distribution of freshwater snails before and after water flow events in hydraulic structures in Tessaout Amont Irrigation System, Morocco. African Journal of Aquatic Science, 34(1):27-33. [doi: https://doi.org/10.2989/AJAS.2009.34.1.3.728]
Schistosomiasis ; Disease vectors ; Snails ; Lymnaea ; Habitats ; Environmental control ; Environmental management ; Irrigation schemes ; Statistical methods / Morocco / Tessaout Amont Irrigation System / Moulay Youssef Reservoir
(Location: IWMI HQ Call no: e-copy only Record No: H042215)
(0.16 MB)
Bulinus truncatus, the intermediate host of Schistosoma haematobium, is widely distributed in modern irrigation schemes in Morocco. These schemes have intermittent irrigation and canals dry out in between irrigation periods. The snail species is therefore associated with the ‘siphon boxes’ connecting canal segments, as these contain water that stagnates between irrigation cycles. The micro-distribution of snails in siphon boxes, was studied before and after one irrigation period, to identify factors that could be manipulated in order to control this snail species. Density of B. truncatus, Ancylus fluviatilis, Lymnaea peregra and Melanopsis praemorsa varied significantly with water depth before and after irrigation. The pulmonate snail species had the highest densities at depths ranging between 20 and 80 cm. After an irrigation period of 10 to 12 hours B. truncatus, A. fluviatilis and L. peregra were relatively more abundant at the bottom of the siphon boxes than in the upper sections. Aggregation at the corners of the boxes could be among the factors that enable snail species to avoid the detrimental effect of turbulent water flow during irrigation. The relevance of changes in density and micro-distribution following an irrigation cycle in the control of B. truncatus is discussed.
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