Your search found 30 records
1 de S. Ariyabandu, R. 1987. Gal Oya Water Management Research Project: Seasonal report 1983/84 - Maha Season. Colombo, Sri Lanka: ARTI. v, 28p. (ARTI occasional publication series 35)
Seasonal variation ; Irrigation programs ; Water availability ; Rice ; Rain / Sri Lanka / Gal Oya Project
(Location: IWMI-HQ Call no: 631.7 G744 DES Record No: H02271)

2 Upasena, S. H. 1987. The cultivation of grain legumes in system C and B of Mahaweli new settlement schemes. In Gunasena, H. P. M.; Herath, H. M. G. (Eds.). Proceedings: Improved production and utilization of local legumes in Sri Lanka, Peradeniya, 22-26 June 1987. Peradeniya, Sri Lanka: Faculty of Agriculture, University of Peradeniya. pp.43-53.
Irrigation programs ; Statistics ; Crop production ; Seasonal variation / Sri Lanka / Mahaweli Project
(Location: IWMI-HQ Call no: 633.3 G744 GUN Record No: H02931)

3 Widanapathirana, A. S.; Brewer, J. D. 1983. Farmer responses to deficit rainfall: Implications for system management. Paper presented at the workshop on "Contingency Irrigation Planning for Command Areas During Deficit Rainfall Year", Hyderabad India, 2-5 August 1983.
Irrigation programs ; Rain ; Agricultural production ; Water shortage ; Labor ; Fertilizers ; Seasonal variation ; Farmer participation / Sri Lanka / Gal Oya Project
(Location: IWMI-HQ Call no: P 242 Record No: H04066)

4 Uphoff, N. 1985. Trip report on farmer organization program in Gal Oya, Sri Lanka, July- August 1985. Executive summary. 69p.
Farmers' associations ; Institutions ; Water management ; Seasonal variation ; Farmer participation / Sri Lanka / Gal Oya Project
(Location: IWMI-HQ Call no: P 446 Record No: H04065)
https://vlibrary.iwmi.org/pdf/H_4065i.pdf

5 Bogahawatte, C. 1987. Seasonal retail and wholesale price analysis of some agricultural commodities. Colombo, Sri Lanka: ARTI. 91p. (ARTI occasional publication no.37)
Agricultural production ; Marketing ; Seasonal variation ; Price elasticities / Sri Lanka
(Location: IWMI-HQ Call no: 338.1 G744 BOG Record No: H04575)

6 Kathpalia, G. N. 1982. Nong Wai Irrigation Management Project, Khon Kaen, Thailand. ADB Technical Assistance THA-381, Second progress report, February-June, 1982. v.p.
Development plans ; Irrigation efficiency ; Crops ; Seasonal variation ; Water availability ; Irrigation scheduling ; Training ; Water users / Thailand
(Location: IWMI-HQ Call no: P 922 Record No: H04699)
https://vlibrary.iwmi.org/pdf/H04699.pdf

7 Takami, S.; O'Toole, J. C. 1983. Evapotranspiration from irrigated rice in the tropical dry season. Journal of Agricultural Meteorology, 39(3):191-200.
Rice ; Irrigated farming ; Evapotranspiration ; Seasonal variation ; Climate
(Location: IWMI-HQ Call no: 631.7.2 G000 TAK Record No: H05153)

8 Qasem, S. 1986. The productivity of irrigated agriculture. In Burrell, A. (Ed.), Agricultural policy in Jordan. London, UK: Ithaca Press. pp.89-100. (Middle East science policy studies no.7 / Abdul Hameed Shoman Foundation series on Arab agriculture no.7)
Agricultural production ; Irrigable land ; Irrigated farming ; Seasonal variation / Jordan
(Location: IWMI-HQ Call no: 338.18 G698 BUR Record No: H05931)

9 Sakthivadivel, R.; Loeve, R.; Amarasinghe, U. A.; Hemakumara, M. 2001. Water scarcity and managing seasonal water crisis: lessons from the Kirindi Oya Project in Sri Lanka. Colombo, Sri Lanka: International Water Management Institute (IWMI). v, 29p. (IWMI Research Report 055) [doi: https://doi.org/10.3910/2009.060]
Irrigation management ; Water management ; Irrigation programs ; Irrigated farming ; Rain ; Crop production ; Crop yield ; Rice ; Case studies ; River basins ; Catchment areas ; Irrigation scheduling ; Water allocation ; Water use efficiency ; Water scarcity ; Water shortage ; Water demand ; Reservoirs ; Flow ; Farmer participation ; Farmer-agency interactions ; Farmers' associations ; Seasonal variation ; Water distribution / Sri Lanka / Kirindi Oya / Ellegala / Lunugamwehera Reservoir
(Location: IWMI-HQ Call no: IWMI 631.7.1 G744 SAK Record No: H028785)
http://www.iwmi.cgiar.org/Publications/IWMI_Research_Reports/PDF/pub055/Report55.pdf
(1.4MB)
Coping with scarcity of water supply for managing irrigation under uncertain and inadequate conditions has become part and parcel of many irrigation systems in the semiarid tropics of Asia. Based on a case study of the Kirindi Oya Irrigation and Settlement Project (KOISP) in southern Sri Lanka, this report provides evidence of the uncertain and inadequate inflow into the reservoir and its impact on the seasonal planning.

10 Servat, E.; Demuth, S.; Dezetter, A.; Daniell, T.; Ferrari, E.; Ijjaali, M.; Jabrane, R.; Van Lanen, H.; Huang, Y. (Eds.) 2010. Global change: facing risks and threats to water resources. Proceedings of the Sixth World FRIEND Conference, Fez, Morocco, 25-29 October 2010. Wallingford, UK: International Association of Hydrological Sciences (IAHS). 698p. (IAHS Publication 340)
Hydrological factors ; Hazards ; Adaptation ; Water resource management ; Flooding ; Drought ; Environmental monitoring ; Simulation models ; GIS ; Mapping ; Decision support systems ; Watersheds ; Risk assessment ; Groundwater ; River Basins ; Climate change ; Case studies ; Seasonal variation ; Runoff ; Floodplains ; Historical aspects ; Reservoirs ; Hydrological cycle ; Surface water ; Water scarcity ; Water quality ; Water balance ; Evapotranspiration ; Urban development ; Land use ; Land cover ; Erosion ; Aquifers / France / Russia / Czech Republic / Tunisia / Algeria / Italy / Brazil / Europe / Africa / Vietnam / Norway / Slovakia / Germany / Colombia / USA / Caribbean / Benin / Cameroon / UK / Chile / Nitra River / Oueme Region / Chellif River Basin / Taquari River Basin / Terek River Basin / Tuscany / Crati River Basin / Volta River Basin / Thach Han River Basin / River Elbe Basin / Harz Mountains / Algerian Coastal Basin / Volta River Basin / Berrechid Plain / Upper Niger River / Moulouya Watershed / Atlantic Ocean / Danube River / Sudano-Sahelian Catchment / Yaere flood plain
(Location: IWMI HQ Call no: 333.91 G000 SER Record No: H043485)
http://vlibrary.iwmi.org/pdf/H043485_TOC.pdf
(0.75 MB)

11 Gamage, Nilantha; Agrawal, R.; Smakhtin, Vladimir; Perera, B. J. C. 2011. An artificial neural network model for simulating streamflow using remote sensing data. In International Association for Hydro-Environment Engineering and Research (IAHR); Engineers Australia (EA). National Committee on Water Engineering (NCWE). 34th IAHR World Congress, Balance and Uncertainty: Water in a Changing World, Brisbane, Australia, 26 June - 1 July 2011. Brisbane, Australia: International Association for Hydro-Environment Engineering and Research (IAHR); Brisbane, Australia: Engineers Australia (EA). National Committee on Water Engineering (NCWE). pp.1371-1378.
Remote sensing ; Stream flow ; Neural networks ; Rain ; Evapotranspiration ; Seasonal variation ; Models ; Catchment areas / Australia / Victoria / Macalister subcatchment
(Location: IWMI HQ Call no: e-copy only Record No: H044002)
https://vlibrary.iwmi.org/pdf/H044002.pdf
(1.11 MB)
Streamflow data play a key role in water resources management; however these data are not often available. One of the alternatives then is to use the rainfall-runoff models, but in most cases the required inputs such as rainfall and evapotranspiration are not available to use these models. Freely available remote sensing data, which represent features of the above input variables, can be used to generate streamflow data as an alternative. This project uses daily Moderate Resolution Imaging Spectrometer (MODIS) data to generate daily streamflow for the Thomson catchment in Victoria in Australia through an Artificial Neural Network (ANN) model. Daily MODIS reflectance and radiance data were first converted to Normalized Difference Vegetation Index (NDVI) and cloud top temperature (CTT) respectively. Several ANN models with one hidden layer were then developed using combinations of present day NDVI and CTT variables, and several daily lags of these variables. Results showed that a seasonally stratified model with five inputs had given predictions comparable to observed streamflow. Five inputs were present day NDVI and CTT, and three past days of CTT.

12 Chilonda, Pius; Govereh, J.; Kumwenda, I.; Chalomba, N. 2009. Recent food price trends in southern Africa: causes, impacts and responses. Pretoria, South Africa: Regional Strategic Analysis and Knowledge Support System for Southern Africa (ReSAKSS-SA). 77p. (ReSAKSS-SA Annual Trends Report 2009)
Food ; Prices ; Inflation ; Cereals ; Maize ; Seasonal variation ; Biofuels ; Food consumption ; Government policy ; Consumers / Africa / Southern Africa
(Location: IWMI HQ Call no: IWMI 338.1 G154 CHI Record No: H044075)
http://vlibrary.iwmi.org/pdf/H044075_TOC.pdf
(0.31 MB)

13 Rebelo, Lisa-Maria; Senay, G. B.; McCartney, Matthew. 2012. Flood pulsing in the Sudd Wetland: analysis of seasonal variations in inundation and evaporation in South Sudan. Earth Interactions, 16(1):1-19. [doi: https://doi.org/10.1175/2011EI382.1]
Flooding ; Wetlands ; Ecosystems ; Biodiversity ; Seasonal variation ; Evaporation ; Evapotranspiration ; Remote sensing ; Vegetation ; Hydrological factors ; Catchment areas ; Desalinization ; Models / Sudan / Bahr el Jebel / Sudd Region / Lake Victoria / White Nile River / Nile River
(Location: IWMI HQ Call no: e-copy only Record No: H044750)
https://vlibrary.iwmi.org/pdf/H044750.pdf
(1.98 MB)
Located on the Bahr el Jebel in South Sudan, the Sudd is one of the largest floodplain wetlands in the world. Seasonal nundation drives thehydrologic, geomorphological, and ecological processes, and the annual flood pulse is essential to the functioning of the Sudd. Despite the importance of the flood pulse, various hydrological interventions are planned upstream of the Sudd to increase economic benefits and food security. These will not be without consequences, in particular for wetlands where the biological productivity, biodiversity, and human livelihoods are dependent on the flood pulse and both the costs and benefits need to be carefully evaluated. Many African countries still lack regional baseline information on the temporal extent, distribution, and characteristics of wetlands, making it hard to assess the consequences of development interventions. Because of political instability in Sudan and the inaccessible nature of the Sudd, recent measurements of flooding and seasonal dynamics are inadequate. Analyses of multitemporal and multisensor remote sensing datasets are presented in this paper, in order to investigate and characterize flood pulsing within the Sudd wetland over a 12-month period. Wetland area has been mapped along with dominant components of open water and flooded vegetation at five time periods over a single year. The total area of flooding (both rain and river fed) over the 12 months was 41 334 km2, with 9176 km2 of this constituting the permanent wetland. Mean annual total evaporation is shown to be higher and with narrower distribution of values from areas of open water (1718 mm) than from flooded vegetation (1641 mm). Although the exact figures require validation against ground-based measurements, the results highlight the relative differences in inundation patterns and evaporation across the Sudd.

14 Savoskul, Oxana S.; Smakhtin, Vladimir. 2013. Glacier systems and seasonal snow cover in six major Asian river basins: hydrological role under changing climate. Colombo, Sri Lanka: International Water Management Institute (IWMI). 45p. (IWMI Research Report 150) [doi: https://doi.org/10.5337/2013.204]
Glaciers ; Runoff ; Snowmelt ; Snow cover ; Melt water ; Assessment ; Seasonal variation ; Water resources ; Groundwater recharge ; Aquifers ; River basins ; Catchment areas ; Flow discharge ; Hydrological cycle ; Climate change ; Precipitation ; Simulation models / Asia
(Location: IWMI HQ Call no: IWMI Record No: H045909)
http://www.iwmi.cgiar.org/Publications/IWMI_Research_Reports/PDF/PUB150/RR150.pdf
(1.12MB)
The hydrological roles of glaciers and seasonal snow in the Indus, Ganges, Brahmaputra, Amu Darya, Syr Darya and Mekong basins are, for the first time, assessed comprehensively at a major river basin scale in this paper. Contribution of glacier runoff, subdivided into renewable and nonrenewable components, and seasonal snowmelt to mean annual flow is evaluated for two time slices: 1961-1990 and 2001-2010. The recent changes of the hydrological roles of glaciers and snow, and the most likely changes of those under future climate change are analyzed.

15 Mukherji, A.; Rawat, S.; Shah, Tushaar. 2013. Major insights from India’s minor irrigation censuses: 1986-87 to 2006-07. Economic and Political Weekly, 48(26-27, Supplement):115-124.
Groundwater irrigation ; Groundwater table ; Irrigated sites ; Wells ; Tube wells ; Water lifting ; Pumps ; Censuses ; Farmers ; Seasonal variation / India
(Location: IWMI HQ Call no: e-copy only Record No: H045912)
https://vlibrary.iwmi.org/pdf/H045912.pdf
(0.46 MB)
Based on data from the four minor irrigation censuses conducted by the Ministry of Water Resources between 1986-87 and 2006-07, this paper points out that India’s groundwater sector has slowed down since 2000-01, most markedly in eastern India. It examines the reasons for this and also looks into how farmers have been responding to lowered groundwater tables. Besides identifying some factors that have not changed since the mid-1980s, it emphasises that there are wide regional variations in the country’s groundwater economy and management strategies need to be crafted accordingly.

16 Jackson, I. J. 1977. Climate, water and agriculture in the tropics. London, UK: Longman. 248p.
Climate change ; Precipitation ; Water resources ; Agriculture ; Rain ; Seasonal variation ; Flow discharge ; Evaporation ; Water balance ; Hydrological cycle
(Location: IWMI HQ Call no: 333.91 G000 JAC Record No: H045967)
http://vlibrary.iwmi.org/pdf/H045967_TOC.pdf
(0.36 MB)

17 Pekel, J.-F.; Cottam, A.; Gorelick, N.; Belward, A. S. 2016. High-resolution mapping of global surface water and its long-term changes. Nature, 540(7633):418-422. [doi: https://doi.org/10.1038/nature20584]
Surface water ; Mapping ; Satellite imagery ; Landsat ; Earth observation satellites ; Water distribution ; Geographical distribution ; Seasonal variation ; Expert systems ; Climate change ; Hydrology ; Models ; Drought ; Evaporation ; Human behavior ; Lakes ; Plateaus / Central Asia / USA / Australia / Aral Sea / Tibetan plateau
(Location: IWMI HQ Call no: e-copy only Record No: H047905)
https://vlibrary.iwmi.org/pdf/H047905.pdf
(8.75 MB)
The location and persistence of surface water (inland and coastal) is both affected by climate and human activity1 and affects climate2,3 , biological diversity4 and human wellbeing5,6 . Global data sets documenting surface water location and seasonality have been produced from inventories and national descriptions7 , statistical extrapolation of regional data8 and satellite imagery9–12, but measuring long-term changes at high resolution remains a challenge. Here, using three million Landsat satellite images13, we quantify changes in global surface water over the past 32 years at 30-metre resolution. We record the months and years when water was present, where occurrence changed and what form changes took in terms of seasonality and persistence. Between 1984 and 2015 permanent surface water has disappeared from an area of almost 90,000 square kilometres, roughly equivalent to that of Lake Superior, though new permanent bodies of surface water covering 184,000 square kilometres have formed elsewhere. All continental regions show a net increase in permanent water, except Oceania, which has a fractional (one per cent) net loss. Much of the increase is from reservoir filling, although climate change14 is also implicated. Loss is more geographically concentrated than gain. Over 70 per cent of global net permanent water loss occurred in the Middle East and Central Asia, linked to drought and human actions including river diversion or damming and unregulated withdrawal15,16. Losses in Australia17 and the USA18 linked to long-term droughts are also evident. This globally consistent, validated data set shows that impacts of climate change and climate oscillations on surface water occurrence can be measured and that evidence can be gathered to show how surface water is altered by human activities. We anticipate that this freely available data will improve the modelling of surface forcing, provide evidence of state and change in wetland ecotones (the transition areas between biomes), and inform water-management decision-making.

18 Seth, R.; Mohan, M.; Singh, P.; Singh, R.; Dobhal, R.; Singh, K. P.; Gupta, S. 2016. Water quality evaluation of Himalayan Rivers of Kumaun Region, Uttarakhand, India. Applied Water Science, 6(2):137-147. [doi: https://doi.org/10.1007/s13201-014-0213-7]
Water quality ; Evaluation ; Rivers ; Drinking water ; Irrigation water ; Contamination ; Chemicophysical properties ; Sodium ; Adsorption ; Correlation analysis ; Seasonal variation ; Monsoon climate / India / Himalayan Region / Uttarakhand / Kumaun Region / Gola River / Ramganga River / Saryu River / Kosi River / Lohawati River
(Location: IWMI HQ Call no: e-copy only Record No: H048097)
https://link.springer.com/content/pdf/10.1007%2Fs13201-014-0213-7.pdf
https://vlibrary.iwmi.org/pdf/H048097.pdf
(0.91 MB) (928 KB)
Water quality of Himalayan rivers has been steadily deteriorating over several decades due to anthropogenic activities, dumping of treated or untreated effluents, poor structured sewerage and drainage system, etc. In the present study, the water quality of five important rivers namely, Gola, Kosi, Ramganga, Saryu and Lohawati rivers were investigated which flow through the different districts of Kumaun region of Uttarakhand Himalaya. The water of all these rivers serves as the major source for drinking and irrigation purposes in these districts of the Kumaun region of Uttarakhand. River water samples collected in pre-monsoon and post-monsoon seasons of the years 2011 and 2012 were analyzed for various water quality characteristics. Statistical analyses indicate positive correlation among most of the chemical parameters. Piper diagram illustrates that all the water samples fall in Ca–Mg–HCO3 hydrochemical facies, Moreover, the suitability of water for drinking purposes determined by water quality index indicated that river water in both the seasons is unsuitable. Irrigation water quality of all the river water was found suitable during both the seasons according to the result of sodium adsorption ratio, sodium percentage and residual sodium carbonate. The present study revealed that major factors contributing to deterioration of water quality of all the rivers might be eutrophication, tourism, anthropogenic and geogenic processes. Therefore, to restore the vitality and water quality of all these rivers, proper water resource planning programme should be developed.

19 Talukdar, S.; Pal, S. 2017. Impact of dam on inundation regime of flood plain wetland of Punarbhaba River Basin of barind tract of Indo-Bangladesh. International Soil and Water Conservation Research, 5(2):109-121. [doi: https://doi.org/10.1016/j.iswcr.2017.05.003]
Floodplains ; Wetlands ; Dams ; Flooding ; Water levels ; Water availability ; River basins ; Flow discharge ; Hydrological regime ; Monsoon climate ; Rain ; Satellite imagery ; Landsat ; Ecological factors ; Seasonal variation / India / Bangladesh / Punarbhaba River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H048163)
http://www.sciencedirect.com/science/article/pii/S2095633917300254/pdfft?md5=584dcd662bb7c4d0a6900bc2cfae0a29&pid=1-s2.0-S2095633917300254-main.pdf
https://vlibrary.iwmi.org/pdf/H048163.pdf
(4.02 MB) (4.02 MB)
Present study raises a serious issue of wetland loss and transformation due to damming and water diversion. At present study, it is noticed that overall rainfall trend (-0.006) of the study period (1978–2015) remains unchanged but riparian wetland area is attenuated after damming both pre monsoon (March to May) and post monsoon season (October to December). Total wetland area in pre- and postmonsoon seasons is respectively reduced from 42.2 km2 to 27.87 km2 , and from 277.85 km2 to 220.90 km2 in post dam period. Transformation of frequently inundated wetland area into sparsely inundated wetland is mainly triggered by flow modification due to installation of Komardanga dam and Barrage over Punarbhaba and its major tributary Tangon river. Sparsely inundated seasonal wetland area is rapidly reclaimed for agricultural practice. This extreme issue will invite instability in socio-ecological setup of the neighbouring region.

20 Gangopadhyay, Prasun K.; Sharma, Bharat R.; Pavelic, Paul. 2018. Co-solving groundwater depletion and seasonal flooding through an innovative managed aquifer recharge approach: converting pilot to a regional solution in the Ram Ganga Sub-basin. In Saha D.; Marwaha S.; Mukherjee A. (Eds). Clean and sustainable groundwater in India. Gateway East, Singapore: Springer. pp.173-189. (Springer Hydrogeology Series)
Groundwater depletion ; Groundwater recharge ; Groundwater irrigation ; Flooding ; Aquifers ; Seasonal variation ; Underground storage ; Drought ; Water storage ; Water resources ; Water quality ; Water table ; Aquifers ; Community involvement ; Canals / India / Uttar Pradesh / Rampur District / Ram Ganga Sub-basin
(Location: IWMI HQ Call no: e-copy only Record No: H048500)
https://vlibrary.iwmi.org/pdf/H048500.pdf
Climate induced extreme events such as floods and droughts are often disastrous in incidences and affects Indian economy often. Low per capita surface water storage (225 m3/capita1), few sites for additional storages facilities and depleting groundwater aquifers reduce the resilience of the communities to alleviate the day-to-day short age and larger seasonal shocks. India has a long history of storing and recharging runoff waters through community participation. Ongoing such programs are focused on drought-prone or socio-economically weak areas and exclude the flood prone zones. The present study aims to improve the groundwater resources availability through diverting flows from rivers or canals at times when these flows pose flood risk and recharging the groundwater through suitable artificial recharge structures. This method addresses the issue of groundwater depletion as well as reducing the flood risks. A geo-hydrological analysis in spatial platform using data available in public domain and detailed ground survey, a site was identified in Jiwai Jadid village of Milk Block of Rampur district of Uttar Pradesh, India. A community owned pond was retrofitted with recharge wells and associated infrastructure to draw excess monsoon water from a nearby flood-prone river. The preliminary results show a positive impact on groundwater table and water quality. However, to achieve the full benefit of the method it is required to implement it in larger scale. Ongoing government programs that are focused on livelihood improvement and natural resources management are the best options to scale up such effect in regional scale.

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