Your search found 8 records
1 Obe, R. O.; Hsu, L. S. 2011. PostGIS in action. Stamford, CT, USA: Manning Publications. 492p.
(Location: IWMI HQ Call no: 910.285 G000 OBE Record No: H043999)
(0.16 MB)
2 Dooley, J. F. 2005. An inventory and comparison of globally consistent geospatial databases and libraries. Rome, Italy: FAO. 177p. (FAO Environment and Natural Resources Working Paper No. 19)
GIS ; Spatial database ; Databases ; Libraries ; Surveys ; Terminology ; Statistical data ; Data analysis ; Poverty ; Food insecurity ; Mapping ; Transport ; Mathematical models ; Geology ; Geomorphology ; Hydrogeology ; Soils ; Hydrology ; Drainage ; Watersheds ; Satellite imagery ; Land cover ; Vegetation ; Climatic data ; Agroecology ; Assessment ; Agricultural production
(Location: IWMI HQ Call no: 910.285 G000 DOO Record No: H044234)
This report presents an inventory of global data sources which can be used to provide consistent geospatial baselines for core framework data layers in the support of generalized base mapping, emergency preparedness and response, food security and poverty mapping. In the report, only globally consistent data sources at the scales of 1:5 million or larger for vector data and a nominal pixel size of 5 arc minutes or higher resolution for raster data, were considered. The sources of data presented in the inventory were identified based on a review of on-line Internet resources conducted in the first quarter of 2004 and updated in January 2005.The inventory is divided into two parts: with Part One of the inventory presenting overview, terminology and summary sections of globally consistent data libraries; while Part Two contains a categorization of the data sources identified broken into topical subsections based on the individual core data layers specified by UNGIWG and FAO. The report also includes a matrix rating the suitability of the various data sources identified to each of the core data layers specified by UGIWIG and FAO, and introduces Virtual Base Maps as a potential cost-effective means for: providing spatial referencing to remote field offices, enhancing Internet map serving capabilities, and facilitating mapping via GPS handheld devices.
3 IIMI. SCOR Project. 1994. Shared Control of Natural Resources (SCOR) spatial database for planning and monitoring resource use change. Colombo, Sri Lanka: International Irrigation Management Institute (IIMI). SCOR Project. 45p. + Annexes.
Research projects ; Natural resources ; Spatial database ; Planning ; Monitoring ; Resource utilization ; Watershed management ; Indicators ; Land use ; Erosion ; Land ownership ; Land tenure ; GIS / Sri Lanka
(Location: IWMI HQ Call no: IWMI Record No: H045201)
(2.75 MB)
4 Amarnath, Giriraj; Alahacoon, Niranga; Gismalla, Y.; Mohammed, Y.; Sharma, Bharat R.; Smakhtin, Vladimir. 2016. Increasing early warning lead time through improved transboundary flood forecasting in the Gash River Basin, Horn of Africa. In Adams, T. E. III; Pagano, T. C. (Eds.). Flood forecasting: a global perspective. London, UK: Academic Press. pp.183-200.
International waters ; Weather forecasting ; Flooding ; Early warning systems ; Rainfall-runoff relationships ; Hydrology ; Hydrometeorology ; Topography ; Models ; Calibration ; River basins ; Flow discharge ; Hydrography ; Catchment areas ; Satellite observation ; Spatial database / Horn of Africa / Sudan / Ethiopia / Eritrea / Gash River Basin / Kassala
(Location: IWMI HQ Call no: e-copy only Record No: H047695)
(1.09 MB)
5 Neji, H. B. B.; Turki, S. Y. 2015. GIS – based multicriteria decision analysis for the delimitation of an agricultural perimeter irrigated with treated wastewater. Agricultural Water Management, 162:78-86. [doi: https://doi.org/10.1016/j.agwat.2015.08.020]
Water reuse ; Wastewater treatment ; Water resources ; GIS ; Spatial database ; Decision support ; Sensitivity analysis ; Irrigation schemes ; Drainage systems ; Farmers ; Living standards ; Farm income ; Sustainability ; Health hazards ; Case studies / Tunisia / Cebala Irrigated Scheme
(Location: IWMI HQ Call no: e-copy only Record No: H047741)
(1.16 MB)
Treated wastewater resource is underexploited in Cebala’s Irrigated scheme (Northern Tunisia) and farmers are reluctant to reuse it. The delimitation of the irrigated area will help enhance the global economic profitability of the perimeter not only by reducing the operation and maintenance costs but also by optimizing the reuse activity according to the farmers’ demands, their aspirations and aims. Thus, the aim of this paper is to consider reducing the surface of the irrigated area, keeping only the parcels where the resource is highly demanded. A spatial data analysis using a multicriteria decision technique (compromise programming—CP) and a geographical information system was carried out to choose the best scenario. To this end, five zones where breeding activity is well developed and the non-conventional resource highly demanded were identified as the closest delimitations to the ideal solution. The Compromise programming method was used to rank these solutions. Finally, a surface of 2485 ha was identified as the best delimitation scenario, corresponding to the area where breeding activity is well developed.
6 Rejani, R.; Rao, K. V.; Rao, C. H. S.; Osman, M.; Reddy, K. S.; George, B.; Kranthi, G. S. P.; Chary, G. R.; Swamy, M. V.; Rao, P. J. 2017. Identification of potential rainwater-harvesting sites for the sustainable management of a semi-arid watershed. Irrigation and Drainage, 66(2):227-237. [doi: https://doi.org/10.1002/ird.2101]
Rainwater ; Water harvesting ; Structures ; Planning ; Sustainability ; Watershed management ; Semiarid zones ; Water conservation ; GIS ; Models ; Spatial database ; Remote sensing ; Soil conservation ; Surface runoff ; Land use ; Land cover ; Identification / India / Goparajpalli Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H048128)
(0.98 MB)
In the present study, the potential locations for constructing different water-harvesting structures in a semi-arid watershed located at Goparajpalli, in southern India, were derived using GIS in three stages. The locations were first identified based on land use land cover, land slope, rainfall characteristics, soil texture and soil depth. Then a number of structures and suitable semi-arid rainfed regions have limitations in their runoff potential availability; these locations were further optimized based on the runoff available after in situ water conservation and storage in existing water-harvesting structures. The surplus runoff volume available in a normal year after storage was estimated to be 870 000 m3 . Suitable locations for 25 rock fill dams (RFD), 74 farm ponds and 5 check dams were identified. These derived sites were validated by exporting to Google Earth and investigated for their suitability with ground truth information. At present, the number of structures existing is more than the optimum number of structures derived, but they have less storage capacity. Hence those structures such as farm ponds located at potential sites are recommended for desiltation and renovation by increasing their size along with lining so that they can be utilized for rainwater harvesting and supplementary irrigation. This methodology for identification of potential locations for water-harvesting structures is less time-consuming, more precise and can be utilized for the planning of large catchments to improve the water availability and productivity.
7 Zelelew, D. G. 2017. Spatial mapping and testing the applicability of the curve number method for ungauged catchments in northern Ethiopia. International Soil and Water Conservation Research, 5(4):293-301. [doi: https://doi.org/10.1016/j.iswcr.2017.06.003]
Catchment areas ; Spatial database ; Mapping ; Testing ; Hydrological factors ; Runoff ; Discharges ; GIS ; Soil types ; Soil texture ; Land use ; Land cover ; Rain ; Estimation ; Models / Ethiopia / Godigne Catchment
(Location: IWMI HQ Call no: e-copy only Record No: H048433)
http://www.sciencedirect.com/science/article/pii/S2095633916300880/pdfft?md5=a01f0af5fbf5a6af8b90fb612805a7bb&pid=1-s2.0-S2095633916300880-main.pdf
https://vlibrary.iwmi.org/pdf/H048433.pdf
https://vlibrary.iwmi.org/pdf/H048433.pdf
(1.90 MB) (1.90 MB)
Understanding the spatial variability of land and water resources has significant importance for its planning, management, and utilization. It is also significant in understanding the response behavior of a catchment in order to model the basic physical processes. In this study, a weighted overlay analysis technique using ArcGIS was implemented for developing a geo-database of the standard curve number (SCN) in a catchment around Northern Ethiopia. The spatial data were used to investigate a 'standard curve number method' for the simulation of the direct runoff at the outlet of the catchment. Both spot based rainfall and runoff measuring techniques were adopted for deriving an instant observed flow measurement, and to make a comparison with the simulated flow values. The results showed that the model underestimated most of the simulated values with a coefficient of regression of R2 = 0.52, with a proportion of higher variances between the simulated and observed runoff events. The result suggests that the accuracy of the model leaves room for significant improvement and the method could not be easily adopted in the catchment and other similar catchments in the semi arid regions of Ethiopia. For improving the prediction capacity of the model, further research in adjusting loss factors in the method is recommended. It is also suggested for developing a localized and modified SCN values by considering geologic, climatic and seasonal variation. The results of this study and the maps generated can be used for improving the hydrological understanding of the catchment. The study is useful for further investigation of the SCN methodology in other un-gauged catchments around the world.
8 Kuller, M.; Reid, D. J.; Prodanovic, V. 2021. Are we planning blue-green infrastructure opportunistically or strategically? Insights from Sydney, Australia. Blue-Green Systems, 3(1):267-280. [doi: https://doi.org/10.2166/bgs.2021.023]
Urban planning ; Infrastructure ; Strategy planning ; Spatial database ; Ecosystem services ; Spatial analysis ; Stormwater management ; Catchment areas ; Socioeconomic aspects / Australia / Sydney / Georges River Catchment
(Location: IWMI HQ Call no: e-copy only Record No: H050860)
https://iwaponline.com/bgs/article-pdf/3/1/267/984087/bgs0030267.pdf
https://vlibrary.iwmi.org/pdf/H050860.pdf
https://vlibrary.iwmi.org/pdf/H050860.pdf
(0.73 MB) (748 KB)
Strategic placement of water-sensitive urban design (WSUD) is essential in optimising its performance and maximising co-benefits. However, little is known about the current placement and interconnectedness between WSUD assets and the performance of current planning strategies. We evaluated the placement of existing WSUDs in a highly urbanised catchment in Sydney, Australia. We used a three-step process: (1) compiling a comprehensive spatial asset database, (2) performing spatial correlation analysis between asset locations and biophysical, urban form and socioeconomic variables and (3) using a novel approach to facilitate holistic understanding through analysing asset locations compared with the outcome of the spatial suitability analysis tool (SSANTO). WSUD coverage was generally low, with clustering in some municipalities. Placement was constrained by physical variables, such as slope, limited space and varying land uses. However, placement was not detectably influenced by most socioeconomic variables. SSANTO's suitability score at asset locations was only slightly higher than average, suggesting that the placement of existing WSUD was opportunistic, rather than strategically planned. Further development and implementation of tools able to account for spatial constraints will help guide future WSUD placement as a component of green urban stormwater management.
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