Your search found 87 records
1 Yurekli, K.; Kurunc, A. 2006. Simulating agricultural drought periods based on daily rainfall and crop water consumption. Journal of Arid Environments, 67:629-640.
(Location: IWMI-HQ Call no: P 7559 Record No: H039060)
2 Smakhtin, Vladimir; Shilpakar, R. L.; Hughes, D. A. 2006. Hydrology-based assessment of environmental flows: an example from Nepal. Hydrological Sciences Journal, 51(2):207-222.
Environmental impact assessment ; Hydrology ; Simulation ; Rivers ; Time series analysis ; Water resource management ; Planning ; Water allocation ; River basin development / Nepal
(Location: IWMI-HQ Call no: IWMI 551.483 G726 SMA Record No: H039243)
http://www.informaworld.com/smpp/ftinterface~content=a918693438~fulltext=713240930~frm=content
https://vlibrary.iwmi.org/pdf/H039243.pdf
https://vlibrary.iwmi.org/pdf/H039243.pdf
3 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)
4 Biggs, Trent; Thenkabail, Prasad; Gumma, Murali; Scott, Christopher; Parthasaradhi, G. R.; Turral, Hugh. 2006. Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India. International Journal of Remote Sensing, 27(19):4245-4266.
Irrigated land ; Groundwater irrigation ; Surface irrigation ; Mapping ; River basins ; Time series analysis / India / Krishna Basin
(Location: IWMI-HQ Call no: IWMI 631.7.1 G635 BIGG Record No: H039379)
5 Thenkabail, Prasad; Gangadhara Rao, P.; Biggs, Trent; Krishna, M.; Turral, Hugh. 2007. Spectral matching techniques to determine historical land use/Land cover (LULC) and irrigated areas using time-series 0.1 degree AVHRR Pathfinder Datasets. Photogrammetric Engineering & Remote Sensing, 73(9):1029-1040.
Land use ; Land cover ; Irrigated land ; Time series analysis ; Remote sensing ; Mapping / India / Krishna River Basin
(Location: IWMI-HQ Call no: IWMI 631.7.1.1 G635 THE Record No: H039380)
6 Dharmasena, G. T. 2004. Primary and secondary processing of hydrological data. In Herath, S.; Pathirana, A.; Weerakoon, S. B. (Eds.). Proceedings of the International Conference on Sustainable Water Resources Management in the Changing Environment of the Monsoon Region. Bandaranaika Memorial International Conference Hall, Colombo, Sri Lanka, 17-19 November 2004. Vol.1. Colombo, Sri Lanka: National Water Resources Secretariat. pp.284-294.
(Location: IWMI-HQ Call no: 333.91 G000 HER Record No: H039517)
7 Kashaigili, J. J.; McCartney, Matthew; Mahoo, H. F.; Lankford, B. A.; Mbilinyi, B. P.; Yawson, D. K.; Tumbo, S. D. 2006. Use of a hydrological model for environmental management of the Usangu Wetlands, Tanzania. Colombo, Sri Lanka: International Water Management Institute (IWMI). 39p. (IWMI Research Report 104) [doi: https://doi.org/10.3910/2009.104]
Wetlands ; Rivers ; Ecology ; Environmental effects ; Remote sensing ; Hydrology ; Simulation models ; Water budget ; Irrigated sites ; Land cover ; Time series analysis / Tanzania / Usangu Wetlands / Great Ruaha River
(Location: IWMI-HQ Call no: IWMI 333.91 G148 KAS Record No: H039649)
(852KB)
This report presents the findings of a study to assess changes to flows into, and downstream of, the Usangu Wetlands, located in the headwaters of the Great Ruaha River, Tanzania. Hydrological data, in conjunction with remote sensing techniques, were used to provide insights into changes that have occurred to the Eastern Wetland. Results indicate that, between 1958 and 2004, inflows to the wetland declined by about 70 percent in the dry season months (July to November) as a consequence of increased human withdrawals, primarily for irrigation.
8 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)
9 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.
10 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.
11 McAleer, M.; Jakeman, A. (Eds.) 1993. International Congress on Modelling and Simulation: Proceedings, Volume 4, The University of Western Australia, 6-10 December 1993. Perth, Australia: University of Western Australia. 1353-1867.
Simulation models ; Mathematical models ; Rainfall-runoff relationships ; Agroecosystems ; Farming systems ; Water quality ; Reservoirs ; Lagoons ; Flow ; Erosion ; Land management ; Effluents ; Time series analysis ; Soil water ; Infiltration ; Surface irrigation ; Runoff ; Soil degradation ; Crop yield ; Wheat ; Fish ; Malaria ; Public health ; Land use
(Location: IWMI HQ Call no: 003.3 G000 MCA Record No: H040381)
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.
12 Ghassemi, F.; Whetton, P.; Little, R.; Littleboy, M. (Eds.) 2001. MODSIM 2001, International Congress on Modelling and Simulation, The Australian National University, Canberra, Australia, 10-13 December 2001: Integrating Models for Natural Resources Management Across Disciplines, Issues and Scales: Proceedings, Volume 2, Natural Systems, Part 2. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand. pp.523-1030.
Mathematical models ; Simulation models ; Groundwater ; Guidelines ; Monitoring ; Recharge ; Water table ; Pumping ; Aquifers ; Salinity ; Estimation ; Erosion ; Catchment areas ; Climate change ; Fisheries ; Time series analysis ; Biodiversity ; Wetlands ; Ecosystems ; Ecology ; Flood plains ; River basins ; Estuaries ; Habitats ; Forest fires ; Fire management / Australia / USA / Swaziland / Taiwan / Thailand / Bangladesh / UK / Jerrabomberra Creek Catchment / Bundaberg / Murray Darling Basin / Macquarie River Catchment / Kyeamba Valley / Broken River / Snowy River Estuary / California / Elk River Aquifer / Kennet Catchment
(Location: IWMI HQ Call no: 003.3 G000 GHA Record No: H040383)
13 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)
14 Smakhtin, V. U. 2000. Estimating daily flow duration curves from monthly streamflow data. Water SA. 26(1): 13-18.
(Location: IWMI HQ Call no: P 5876 Record No: H041287)
http://researchspace.csir.co.za/dspace/bitstream/10204/1887/3/Smakhtin_2000_1.pdf
https://vlibrary.iwmi.org/pdf/H041287.pdf
https://vlibrary.iwmi.org/pdf/H041287.pdf
(40.44 KB)
The paper describes two techniques by which to establish 1-day (1d) flow duration curves at an ungauged site where only a simulated or calculated monthly flow time series is available. Both methods employ the straightforward relationships between daily and monthly flow characteristics. These relationships are first established on the basis of observed streamflow data and then used to convert synthetic monthly flow data into1d flow duration curves. The paper suggests the conversion equations and describes stepby- step calculation procedures which may be applied to generate 1d flow duration curves at quaternary catchment level of spatial resolution.
15 Gumma, Murali Krishna; Thenkabail, Prasad S.; Gautam, N. C.; Gangadhara Rao, Parthasaradhi; Manohar, Velpuri. 2008. Irrigated area mapping using AVHRR, MODIS and LANDSAT ETM+ data for the Krishna River Basin, India. Technology Spectrum, 2(1): 1-11.
River basins ; Water scarcity ; Irrigation programs ; Irrigated land ; Remote sensing ; Mapping ; Time series analysis / India / Krishna River Basin
(Location: IWMI HQ Call no: IWMI 631.7.1 G635 GUM Record No: H041432)
Net irrigated area in the Krishna river basin is varying quiet frequently due to water scarcity. Accurate area and extent of irrigated area in the Krishna River Basin is not available. State Irrigation Department projects large area under irrigation in the Krishna River Basin, which is attributed to its prestigious irrigation projects. However, the irrigation projects do not fulfill the demand in the basin consequently the tail Enders grow dry crops. Remote sensing replaces costly and tedious data collection on the ground, which is non-destructive. The aim of the present study is to prepare a comprehensive land use/land cover (LU/LC) map using continuous time-series data of multiple resolutions. A methodology is developed to map irrigated area categories using LANDSAT ETM+ along with coarse resolution time series imagery from AVHRR and MODIS, SRTM elevation, and other secondary data. Major stress was towards discrimination of ground-water irrigated area from surface-water irrigated area, determining of cropping patterns in irrigated area using MODIS NDVI time- series, and use of non-traditional methods of accuracy assessment using, ancillary datasets like SRTM-DEM, precipitation and state census statistics. A regression of the 9 class areas against agricultural census data explained 73% and 74% of the variance in groundwater and surface water irrigated area, respectively.
16 Masih, Ilyas; Uhelnbrook, S.; Maskey, S.; Ahmad, Mobin-ud-Din; Islam, Aminul. 2008. Estimating ungauged stream flows based on model regionalization: examples from the mountainous, semi-arid Karkheh River Basin, Iran. In Brhuthans J.; Kovar, K.; Hrkal, Z. (Eds.). HydroPredict 2008 Conference on Predictions for Hydrology, Ecology, and Water Resources Management: Using Data and Models to Benefit Society, Prague, Czech Republic, 15-18 September 2008. pp 7-10.
River basins ; Stream flow ; Time series analysis ; Simulation models ; Calibration ; Runoff ; Catchment areas ; Water resource management / Iran / Karkheh River Basin
(Location: IWMI HQ Call no: IWMI 551.483 G690 MAS Record No: H041587)
The study examines the possibility of simulating time series of stream flows for ungauged catchments based on hydrological similarity. As an example the mountainous, semiarid Karkheh river basin (50,764 km2) of Iran is presented. The frequently applied HBV model was applied to simulate daily stream flow with parameters transferred from gauged catchment counterparts. Hydrological similarity is defined based on three similarity measures: geographical area, spatial proximity and shape of the flow duration curve (FDC). FDCs for the ungauged catchments were predicted using logarithmic relationship derived from physiographic characteristics of eleven gauged catchments. The study shows that transferring HBV model parameters based on the FDC similarity criterion produces better runoff simulation compared to the similarity criteria based on catchment area and geographical proximity. The validation of the catchment similarity analysis using the FDC on monthly and daily flow simulation resulted in mean Nash-Sutcliffe model efficiency, Reff, of 0.70 and 0.57, respectively. The study concludes that the methods of utilizing FDCs could be applied for estimating ungauged stream flows in the mountainous parts of the Karkheh river basin and source area of other major rivers in that region (e.g. Dez, Karun and Zayandeh Rud).
17 Kim, U.; Kaluarachchi, Jagath J.; Smakhtin, Vladimir. 2008. Generation of monthly precipitation under climate change for the upper Blue Nile River Basin, Ethiopia. Journal of the American Water Resources Association, 44(5):1231-1247.
(Location: IWMI HQ Call no: IWMI 551.483 G136 KIM Record No: H041629)
18 Sri Lanka. Irrigation Department, Hydrology Division. 1998. Hydrological annual 1996/97. Colombo, Sri Lanka: Irrigation Department, Hydrology Division. 110p.
River basins ; Rain ; Rainfall-runoff relationships ; Evaporation ; Evapotranspiration ; Stream flow ; Reservoirs ; Time series analysis ; Hydrology ; Catchment areas ; Models / Sri Lanka
(Location: IWMI HQ Call no: 551.48 G744 SRI Record No: H041960)
19 Gumma, Murali Krishna; Thenkabail, P. S.; Velpuri, N. M. 2009. Vegetation phenology to partition groundwater- from surface water-irrigated areas using MODIS 250-m time-series data for the Krishna River basin. In Bloschl, G.; van de Giesen, N.; Muralidharan, D.; Ren, L.; Seyler, F.; Sharma, U.; Vrba, J. (Eds.). Improving integrated surface and groundwater resources management in a vulnerable and changing world: proceedings of Symposium JS.3 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH), Hyderabad, India, 6-12 September 2009. Wallingford, UK: International Association of Hydrological Sciences (IAHS) pp.271-281. (IAHS Publication 330)
Vegetation ; Phenology ; River basins ; Vegetation ; Maps ; Land cover ; Land use ; Groundwater irrigation ; Surface irrigation ; Canals ; Reservoirs ; Irrigated land ; Time series analysis ; Remote sensing / India / Krishna River basin
(Location: IWMI HQ Call no: e-copy only Record No: H042217)
(1.15 MB)
This paper describes a remote sensing based vegetation-phenology approach to accurately separate out and quantify groundwater irrigated areas from surface-water irrigated areas in the Krishna River basin (265 752 km2), India, using MODIS 250-m every 8-day near continuous time series for 2000–2001. Temporal variations in the Normalized Difference Vegetation Index (NDVI) pattern, depicting phenology, obtained for the irrigated classes enabled demarcation between: (a) irrigated surface-water double crop, (b) irrigated surface-water continuous crop, and (c) irrigated groundwater mixed crops. The NDVI patterns were found to be more consistent in areas irrigated with groundwater due to the continuity of water supply. Surface water availability, however, was dependent on canal water release that affected time of crop sowing and growth stages, which was in turn reflected in the NDVI pattern. Double-cropped (IDBL) and light irrigation (IL) have relatively late onset of greenness, because they use canal water from reservoirs that drain large catchments and take weeks to fill. Minor irrigation and groundwater-irrigated areas have early onset of greenness because they drain smaller catchments where aquifers and reservoirs fill more quickly. Vegetation phonologies of nine distinct classes consisting of irrigated, rainfed, and other land-use classes were derived using MODIS 250-m near continuous time-series data that were tested and verified using groundtruth data, Google Earth very high resolution (sub-metre to 4 m) imagery, and state-level census data. Fuzzy classification accuracies for most classes were around 80% with class mixing mainly between various irrigated classes. The areas estimated from MODIS were highly correlated with census data (R-squared value of 0.86).
20 Muthuwatta, Lal P.; Booij, M. J.; Rientjes, T. H. M.; Bos, M. G.; Gieske, A. S. M.; Ahmad, Mobin-ud-Din. 2009. Calibration of a semi-distributed hydrological model using discharge and remote sensing data. In Yilmaz, K. K.; Yucel, I.; Gupta, H. V.; Wagener, T.; Yang, D.; Savenije, H.; Neale, C.; Kunstmann, H.; Pomeroy, J. (Eds.). New approaches to hydrological prediction in data-sparse regions: proceedings of Symposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH), Hyderabad, India, 6–12 September 2009. Wallingford, UK: International Association of Hydrological Sciences (IAHS). pp.52-58. (IAHS Publication 333)
Hydrology ; Models ; Calibration ; Stream flow ; Evapotranspiration ; Simulation ; Discharges ; Remote sensing ; Rivers ; Catchment areas ; Time series analysis / Iran / Karkheh River Basin / Hoor-Al-Azim swamp
(Location: IWMI HQ Call no: 551.48 G000 YIL Record No: H042296)
(0.12 MB)
The objective of this study is to present an approach to calibrate a semi-distributed hydrological model using observed streamflow data and actual evapotranspiration time series estimates based on remote sensing data. First, daily actual evapotranspiration is estimated using available MODIS satellite data, routinely collected meteorological data and applying the SEBS algorithm. Second, the semi-distributed hydrological model HBV is calibrated and validated using the estimated evapotranspiration and observed discharge. This is done for multiple sub-basins of the Karkheh River basin in Iran. The Nash-Sutcliffe coefficient (NS) is calculated for each sub-basin. Maximum and minimum NS values for the calibration using observed discharge are 0.81 and 0.23, respectively, and using estimated evapotranspiration 0.61 and 0.46, respectively. The comparison of model simulations with multiple observed variables increases the probability of selecting a parameter set that represents the actual hydrological situation of the basin. The new calibration approach can be useful for further applications especially in data sparse river basins.
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