Your search found 266 records
1 Partheepan, K.; Jeyakumar, P. 2005. Development of a time-series model to forecast climatic data in the Batticaloa District, Sri Lanka. In Galagedara, L. W. (Ed.). Water resources research in Sri Lanka: Symposium Proceedings of the Water Professional’s Day 2005. Peradeniya, Sri Lanka: PGIA. pp.199-209.
Climate ; Rain ; Temperature ; Drought ; Forecasting ; Models ; Natural disasters / Sri Lanka / Batticaloa District
(Location: IWMI HQ Call no: IWMI 631.7 G744 GAL Record No: H040717)
2 De Silva, C. S. 2006. Impacts of climate change on water resources in Sri Lanka. In Water, Engineering and Development Centre (WEDC). Sustainable development of water resources, water supply and environmental sanitation: 32nd WEDC International Conference, Bandaranaike Memorial International Conference Hall, Colombo, Sri Lanka, 13th - 17th November 2006. Preprints. Leicestershire, UK: Water, Engineering and Development Centre (WEDC) pp.502-508.
Water resources ; Climate change ; Rain ; Temperature ; Environmental temperature ; Evapotranspiration ; Soil moisture / Sri Lanka
(Location: IWMI HQ Call no: 333.91 G000 WAT Record No: H041046)
(0.83 MB)
3 Sharma, Bharat R.; Sharma, Devesh. 2008. Impact of climate change on water resources and glacier melt and potential adaptations for Indian agriculture. Keynote Address at the 33rd Indian Agricultural Universities Association Vice Chancellors’ Annual Convention on Climate Change and its Effect on Agriculture, Anand Agricultural University, Anand, Gujarat, India, 4-5 December 2008. 20p.
Climate change ; River basins ; Water scarcity ; Environmental effects ; Temperature ; Rain ; Drought ; Flooding ; Sea level ; Water resource management / India / Himalaya / Ganges River Basin / Indus River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H041717)
http://cpwfbfp.pbworks.com/f/Keynote-Climatechange_BRSHARMA_.pdf
https://vlibrary.iwmi.org/pdf/H041717.pdf
https://vlibrary.iwmi.org/pdf/H041717.pdf
4 Hoornweg, D.; Freire, M.; Lee, M. J.; Bhada-Tata, P.; Yuen, B. (Eds.) 2011. Cities and climate change: responding to an urgent agenda. Washington, DC, USA: World Bank. 306p. (Urban Development Series)
Climate change ; Towns ; Urban areas ; Urban planning ; Greenhouse gases ; Institutions ; Temperature ; Adaptation ; Governance ; Policy ; Emission ; Morphology ; Transport ; Models ; Case studies ; Economic aspects ; Social aspects / Europe / USA / Singapore / India / Thailand / London / New York / Milan / Mexico / Bangkok / Mumbai
(Location: IWMI HQ Call no: 307.7622 G000 HOO Record No: H044077)
(0.33 MB)
5 Fiseha, B. M.; Alemseged, T. H.; Rientjes, T. H. M.; Gieske, A. S. M. 2008. Rainfall estimation using satellite remote sensing and ground truth for hydrologic modelling over the Upper Blue Nile region. In Abtew, W.; Melesse, A. M. (Eds.). Proceedings of the Workshop on Hydrology and Ecology of the Nile River Basin under Extreme Conditions, Addis Ababa, Ethiopia, 16-19 June 2008. Sandy, UT, USA: Aardvark Global Publishing. pp.229-249.
Rain ; Estimation ; Satellite surveys ; Remote sensing ; Hydrology ; Models ; Temperature / Ethiopia / Upper Blue Nile
(Location: IWMI HQ Call no: 551.48 G136 ABT Record No: H044325)
(1.39 MB)
6 Asian Institute of Technology (AIT). 2005. Multi-temporal analysis of normalized differential vegetation index, temperature and other metrics using fusion of high-resolution and low-resolution imageries for global irrigated area mapping. Final report. Unpublished final report of the Space Technology Applications and Research (STAR) Program, submitted to IWMI. 108p.
Irrigated sites ; Irrigated farming ; Mapping ; Vegetation ; Indicators ; Irrigated rice ; Cultivation ; Rain ; Temperature ; Remote sensing ; GIS ; Statistical methods ; Imagery / Thailand
(Location: IWMI HQ Call no: 631.7.2 G750 ASI Record No: H044503)
(0.35 MB)
7 Lacombe, Guillaume; Hoanh, Chu Thai; Smakhtin, Vladimir. 2012. Multi-year variability or unidirectional trends?: mapping long-term precipitation and temperature changes in continental Southeast Asia using PRECIS regional climate model. Climatic Change, 113(2):285-299. [doi: https://doi.org/10.1007/s10584-011-0359-3]
Climate change ; Temperature ; Precipitation ; Models ; River basins ; Rain / Southeast Asia / Mekong River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H044657)
(0.77 MB)
The subject of change detection in climate time series has recently received greater interest as the perception of a human-induced change in the climate is now widely accepted. However, changes in regional precipitation and temperature remain uncertain. This study characterizes projected fine-scale changes in precipitation and temperature in continental Southeast Asia over the period 1960–2049. Twenty four annual variables were derived from grid-based daily precipitation and temperature produced by the PRECIS regional climate model under A2 and B2 scenarios. These time series, capturing precipitation intensities (classified as low, medium and high), seasonality and extremes in precipitation and temperature, were subjected to the modified Mann-Kendall trend detection test accounting for long-term persistence. The results indicate that temperature increases over the whole region with steeper trends in higher latitudes. Increases in annual precipitation, mainly restricted to Myanmar and the Gulf of Thailand, result from increases in high precipitation during the wet season. Decreases are observed mainly over the sea and caused by a reduction of low precipitation. Changes in the occurrence of the monsoon affect the low-latitude sea areas only. By showing that significant precipitation change are minor over land areas, these results challenge most of the previous studies that suggested significant precipitation changes over Southeast Asia, often mixing up multi-decadal variability and long-term unidirectional trends. Significant changes in precipitation and temperature may induce higher agricultural yields as steepest temperature and precipitation increases will predominantly affect the coldest and driest land areas of the region.
8 Imholt, C.; Soulsby, C.; Malcolm, I. A.; Hrachowitz, M.; Gibbins, C. N.; Langan, S.; Tetzlaff, D. 2011. Influence of scale on thermal characteristics in a large Montane River Basin. River Research and Applications, 17p. (Online first). [doi: https://doi.org/10.1002/rra.1608]
River basins ; Streams ; Temperature ; Regression analysis ; Models ; GIS ; Monitoring ; Catchment areas ; Riparian zones ; Vegetation / UK / Scotland / River Dee Catchment
(Location: IWMI HQ Call no: e-copy only Record No: H044701)
(4.69 MB)
This study monitored stream temperatures over two hydrological years at various nested scales within the large, unregulated river Dee catchment (North East Scotland). These scales were (i) the whole catchment (11 sites along main stem Dee); (ii) the tributary (single sites in main tributaries); (iii) the Girnock (five sites in one subcatchment); and (iv) the reach (26 points across single reach). The aim was to characterize the thermal regime of all locations and compare the magnitude of variation between each scale. The controls on this variation were assessed via a multiple linear regression model using Geographic Information System-derived catchment data. Temperatures were collected at 15-min resolution and for further analysis and discussion combined to daily means. At the catchment and subcatchment scales, a west to east gradient in mean and minimum temperatures was observed, largely paralleling changes in altitude. Temperature differences between subcatchments were generally greater than between the sites along the main stem of the Dee. Differences between tributaries reflected differences in their morphology and land use. However, some tributaries had similar thermal regimes, despite different catchment and riparian characteristics. Subcatchment differences in thermal regimes of one of the tributaries corresponded to riparian vegetation reduced diurnal variability in sections dominated by broadleaf woodland. Compared with the larger scales, reach differences in thermal regime were small (e.g. mean temperatures of riffle, pool and margin habitats were within 0.3C). The most noticeable difference was in relation to the point samples within the backwater area, which has a more constant thermal regime, most probably reflecting its groundwater source. The regression analysis indicated that monthly mean temperatures can be predicted well using elevation and catchment area. Forest cover was a significant explanatory variable during the summer months. However, some of the empirical temperature data from the Dee indicate that similar thermal regimes can result from different physical controls and processes that have important implications for the extrapolation of such predictive models.
9 Nagothu, U. S.; Gosain, A. K.; Kuppannan, Palanisami. (Eds.) 2012. Water and climate change: an integrated approach to address adaptation challenges. New Delhi, India: Macmillan. 282p.
Water resources ; Water management ; Freshwater ; Climate change ; Adaptation ; Temperature ; Rain ; Precipitation ; Drought ; Flooding ; River basins ; Assessment ; Water availability ; Water use efficiency ; Water quality ; Monitoring ; Statistical analysis ; Risks ; Economic situation ; Land use ; Institutions ; Policy ; Hydrology ; Simulation models ; Topography ; Irrigation programs ; Irrigated sites ; Greenhouse gases ; Environmental effects ; Agricultural production ; Weather ; Crops ; Rice ; Maize ; Groundnuts ; Crop insurance ; Indicators / India / Andhra Pradesh / Godavari River Basin / Manjeera River / Sri Ram Sagar Project / Dowleswaram Barrage / Nizam Sagar Project / Kaddam Project / Devadula Lift Irrigation Scheme / Singur Project
(Location: IWMI HQ Call no: 333.91 G635 NAG Record No: H044763)
(0.36 MB)
10 Kuppannan, Palanisami; Ranganathan, C. R.; Kakumanu, Krishna Reddy; Nagothu, U. S. 2012. Impact of climate change on agriculture and optimum land and water use planning: evidence from the Sri Ram Sagar Project, Godavari Basin. [India]. In Nagothu, U. S.; Gosain, A. K.; Palanisami, Kuppannan (Eds.). Water and climate change: an integrated approach to address adaptation challenges. New Delhi, India: Macmillan. pp.194-237.
Climate change ; Temperature ; Rain ; Precipitation ; Land use ; Planning ; Water management ; Water use ; River basins ; Agriculture ; Crop production ; Crop yield ; Rice ; Maize ; Groundnuts ; Income ; Models / India / Andhra Pradesh / Godavari River Basin / Sri Ram Sagar Project
(Location: IWMI HQ Call no: IWMI Record No: H044769)
(2.79 MB)
11 Gosain, A. K.; Rao, S. 2012. Analysis of climate scenarios in the Godavari River Basin [India]. In Nagothu, U. S.; Gosain, A. K.; Palanisami, Kuppannan (Eds.). Water and climate change: an integrated approach to address adaptation challenges. New Delhi, India: Macmillan. pp.59-79.
Climate change ; River basins ; Greenhouse gases ; Radiation ; Rain ; Temperature ; Precipitation ; Simulation models ; Statistical methods / India / Godavari River Basin
(Location: IWMI HQ Call no: IWMI Record No: H044790)
12 Bharati, Luna; Gurung, Pabitra; Jayakody, Priyantha. 2012. Hydrologic characterization of the Koshi Basin and the impact of climate change. Hydro Nepal: Journal of Water, Energy and Environment, April:18-22. (Special issue on "Proceedings of National Conference on Water, Food Security and Climate Change in Nepal" with contributions by IWMI authors).
Hydrology ; River Basins ; Climate change ; Precipitation ; Temperature ; Simulation models ; Water balance ; Water yield ; Assessment ; Evapotranspiration ; Runoff ; Ecology / Nepal / Koshi Basin
(Location: IWMI HQ Call no: IWMI Record No: H044827)
Assessment of surface and groundwater resources and water availability for different sectors is a great challenge in Nepal mainly due to data limitations. In this study, the Soil Water Assessment Tool (SWAT) was used to simulate the hydrology and to calculate sub-basin wise water balances in the Koshi Basin, Nepal. The impacts of Climate Change (CC) projections from four GCMs (CNRM-CM3, CSIRO-Mk3.0,ECHam5 and MIROC 3.2) on the hydrology of the basin were also calculated. This paper summarizes some of the key results. The full report of the study is in preparation. The basin can be divided into the trans-mountain, central mountain, eastern mountain, eastern hill and central hill regions. Results show that current precipitation is highest in the central mountain and eastern mountain regions during both the dry and wet seasons. Water balance results showed that Actual ET as well as Runoff is also highest in the central and eastern mountain regions followed by the mid-hills. Results from climate change projections showed that average temperature will increase in the 2030’s by 0.7-0.9° Celsius. Results for 2030s projections also show that during the dry season, precipitation increases in the trans-mountain but decreases in the other regions for both A2 and B1 scenarios. During the wet season, the MarkSim projections show a decrease in precipitation in all the regions. Net water yields also increased for the trans-mountain zone during the dry season but show varying results during the monsoon. Assessment of projected future fl ow time series showed that there will be an increase in the number of extreme events; i.e., both low fl ows and large fl oods. There is however; a high degree of uncertainty in the projected climate data as the relative standard deviation was quite high.
13 Mulligan, M.; Fisher, M.; Sharma, Bharat; Xu, Z. X.; Ringler, C.; Mahe, G.; Jarvis, A.; Ramirez, J.; Clanet, J.-C.; Ogilvie, A.; Ahmad, M. D. 2012. The nature and impact of climate change in the Challenge Program on Water and Food (CPWF) basins. In Fisher, M.; Cook, Simon (Eds.). Water, food and poverty in river basins: defining the limits. London, UK: Routledge. pp.334-362.
Climate change ; Temperature ; Precipitation ; Seasonality ; River basins ; Food security ; Flow discharge ; Water balance ; Agriculture ; Poverty ; Social aspects ; Living conditions ; Rain / Africa / Asia / South America / Limpopo River Basin / Niger River Basin / Nile River Basin / Volta River Basin / Ganges River Basin / Karkeheh River Basin / Mekong River Basin / Yellow River Basin / Andes River Basins
(Location: IWMI HQ Call no: IWMI Record No: H044850)
(2.13 MB)
14 Nagothu, U. S.; Gosain, A. K.; Kuppannan, Palanisami. (Eds.) 2012. Water and climate change: an integrated approach to address adaptation challenges. New Delhi, India: Macmillan. 282p.
Water resources ; Water management ; Freshwater ; Climate change ; Adaptation ; Temperature ; Rain ; Precipitation ; Drought ; Flooding ; River basins ; Assessment ; Water availability ; Water use efficiency ; Water quality ; Monitoring ; Statistical analysis ; Risks ; Economic situation ; Land use ; Institutions ; Policy ; Hydrology ; Simulation models ; Topography ; Irrigation programs ; Irrigated sites ; Greenhouse gases ; Environmental effects ; Agricultural production ; Weather ; Crops ; Rice ; Maize ; Groundnuts ; Crop insurance ; Indicators / India / Andhra Pradesh / Godavari River Basin / Manjeera River / Sri Ram Sagar Project / Dowleswaram Barrage / Nizam Sagar Project / Kaddam Project / Devadula Lift Irrigation Scheme / Singur Project
(Location: IWMI HQ Call no: 333.91 G635 NAG c2 Record No: H044893)
15 Wardlow, B. D.; Anderson, M. C.; Verdin, J. P. (Eds.) 2012. Remote sensing of drought: innovative monitoring approaches. Boca Raton, FL, USA: CRC Press. 422p.
Remote sensing ; Drought ; Monitoring ; History ; Vegetation ; Precipitation ; Indicators ; Evapotranspiration ; Water balance ; Energy balance ; Satellite surveys ; Satellite imagery ; Data analysis ; Analytical methods ; Soil moisture ; Rain ; Temperature ; Snow cover ; Early warning systems ; Models / Kenya / Eastern Africa / Sahel
(Location: IWMI HQ Call no: 621.3678 G000 WAR Record No: H045035)
(0.46 MB)
16 Bharati, Luna; Smakhtin, Vladimir; Gurung, Pabitra; Lacombe, Guillaume; Amarasinghe, Upali A.; Sapkota, Pratibha; Hoanh, Chu Thai. 2012. Environmentally sustainable water resources management in the Upper Ganga Basin under changing climate conditions. [Project report prepared by IWMI for World Wide Fund for Nature, India under the project "Environmentally Sustainable Water Resources Management in the Upper Ganga Basin"]. Kathmandu, Nepal: International Water Management Institute (IWMI). 51p.
Water resources ; Water management ; River basins ; Hydrology ; Simulation models ; Climate change ; Rain ; Temperature ; Relative humidity ; Wind speed ; Water balance ; Water allocation ; Water availability ; Water use ; Canal irrigation ; Environmental flows / India / Upper Ganga Basin
(Location: IWMI HQ Call no: e-copy only Record No: H045053)
(2.50 MB)
17 Premawardena, D. B. 1995. Integrating conservation concerns into production process: an analysis of dry zone farming systems. Thesis submitted to the University of Peradeniya in partial fulfillment of the requirement for the award of Bachelor of Science in Agriculture. 72p.
Farming systems ; Crop production ; Arid zones ; Natural resources ; Climate change ; Rain ; Temperature ; Drought ; Forestry ; Vegetation ; Land use ; Animal husbandry ; Erosion ; Economic analysis ; Research projects ; Indicators / Sri Lanka / Anuradhapura District
(Location: IWMI HQ Call no: D 631 G744 PRE Record No: H045246)
(0.36 MB)
18 Nhamo, Luxon; Chilonda, Pius. 2012. Climate change risk and vulnerability mapping and profiling at local level using the Household Economy Approach (HEA) Earth Science and Climatic Change, 3(3):7p. [doi: https://doi.org/10.4172/2157-7617.1000123]
Climate change ; Risks ; Mapping ; Water scarcity ; Drought ; Flooding ; Temperature ; Rainfed farming ; Crop production ; Households ; Economic aspects / Africa South of Sahara
(Location: IWMI HQ Call no: e-copy only Record No: H045472)
http://omicsonline.org/2157-7617/pdfdownload.php?download=2157-7617-3-123.pdf&&aid=9786
https://vlibrary.iwmi.org/pdf/h045472.pdf
https://vlibrary.iwmi.org/pdf/h045472.pdf
(2.15 MB) (2.15MB)
The increasing frequency of extreme climate events such as droughts and floods, as well as increasing temperatures and declining rainfall, are the expected future weather patterns of climate change hot spots such as Sub-Saharan Africa. Climate change and variability hot spot areas will be most vulnerable to diminishing crop production and water resources as most people in these areas depend on rainfed agriculture for their livelihoods. While much of climate change studies have been done at global scale, the impacts of climate change and variability will be felt locally at community level. In most cases adaptation occurs at local level in ways that are usually unnoticed and unaided by national governments or international organisations. This study down-scales the vulnerability of and adaptive capacity to climate change and variability to local level applying the Household Economy Approach. The focus is on local dimensions of climate change impact on water and agriculture in Western Zambia. A climate change vulnerability zone map is delineated using GIS, and a detailed profile of the zones is presented. The focus is on how communities cope with comparable climate change risks that occur today, like droughts, floods and pests, and then gauge their capacity to mitigate future CC shocks. Some adaptive measures that can be adopted to mitigate climate change impacts are recommended. The results equip policy makers with information on the impacts of climate change at local level, and capacitate them with a tool to make informed intervention.
19 McCartney, Matthew; Forkuor, Gerald; Sood, Aditya; Amisigo, B.; Hattermann, F.; Muthuwatta, Lal. 2012. The water resource implications of changing climate in the Volta River Basin [Africa]. Colombo, Sri Lanka: International Water Management Institute (IWMI). 33p. (IWMI Research Report 146) [doi: https://doi.org/10.5337/2012.219]
River basins ; Climate change ; Water resources development ; Reservoirs ; Water demand ; Temperature ; Rain ; Evapotranspiration ; Hydrology ; Flow discharge ; Groundwater recharge ; Surface water ; Water storage ; Simulation models ; Water power ; Irrigation schemes ; Irrigation water ; Water demand ; Livestock / Africa. / Volta River Basin
(Location: IWMI HQ Call no: IWMI Record No: H045520)
(1.99MB)
The Volta River is one of the major rivers in Africa. In this study, a dynamic regional climate model (CCLM), a hydrological model (SWAT) and a water resource model (WEAP) were used to provide an assessment of one downscaled ‘middle impact’ climate change scenario on the performance of existing and planned irrigation and hydropower schemes. The results indicate that, by the middle of the twenty-first century, altered climate is likely to undermine the technical performance of existing and planned reservoirs, which will, in turn, affect development outcomes. Future water resources development in the basin requires interventions that bolster resilience and water security. Much more systematic planning of water storage, greater cooperation between the riparian states and consideration of innovative approaches to water storage are needed.
20 Mainuddin, M.; Kirby, M.; Hoanh, Chu Thai. 2013. Impact of climate change on rainfed rice and options for adaptation in the lower Mekong Basin. Natural Hazards, 66(2):905-938. [doi: https://doi.org/10.1007/s11069-012-0526-5]
Climate change ; Adaptation ; Rainfed farming ; Rice ; Yields ; Growing period ; Fertilizers ; Food security ; River basins ; Simulation models ; Calibration ; Supplemental irrigation ; Rain ; Evapotranspiration ; Temperature / Laos / Thailand / Cambodia / Vietnam / Mekong River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H045716)
(0.71 MB)
We assessed the potential impact of climate change on the yield of rainfed rice in the lower Mekong Basin and evaluated some adaptation options, using a crop growth simulation model. Future climate projections are based on IPCC SRES A2 and B2 scenarios as simulated by ECHAM4 global climate model downscaled for the Mekong Basin using the PRECIS system. We divided the basin into 14 agro-climatic zones and selected a subcatchment within each zone for the model and assessed the impact for the period of 2010–2030 and 2030–2050. In general, the results suggest that yield of rainfed rice may increase significantly in the upper part of the basin in Laos and Thailand and may decrease in the lower part of the basin in Cambodia and Vietnam. The increase is higher during 2030–2050 compared to the period of 2010–2030 for A2 scenario. For B2 scenario, yield increase is higher during 2010–2030. The impact is mainly due to the change in rainfall and CO2 concentration in the atmosphere. We have tested widely used adaptation options such as changing planting date, supplementary irrigation, and reduction in fertility stress and found that negative impact on yield can be offset and net increase in yield can be achieved.
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