Your search found 32 records
1 Tomlinson, R. 2011. Thinking about GIS: Geographic Information System planning for managers. 4th ed. Redlands, CA, USA: ESRI Press. 249p. + 1 CD.
GIS ; Planning ; Methodology ; Information management ; Data management ; Case studies ; Databases ; Models ; Cost analysis ; Risk analysis ; Personnel management
(Location: IWMI HQ Call no: 526.0285 G000 TOM Record No: H043902)
(0.14 MB)
2 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)
3 Millennium Ecosystem Assessment. 2001. Second Technical Design Workshop, Cape Town, South Africa, 8-11 October 2001. Washington, DC, USA: Millennium Ecosystem Assessment. 245p.
Ecosystems ; Assessment ; Capacity building ; Policy ; Poverty ; Forests ; Corporate culture ; Case studies ; Watersheds ; Models ; Research projects ; Stakeholders ; Remote sensing ; Data management / China / India / Norway / Papua New Guinea / South East Asia / South Africa / Sweden / Karnataka / Maharashtra
(Location: IWMI HQ Call no: 333.91 G000 MIL Record No: H044522)
(0.34 MB)
4 Abdullaev, I.; Rakhmatullaev, S.; Platonov, Alexander; Sorokin, D. 2012. Improving water governance in Central Asia through application of data management tools. International Journal of Environmental Studies, 69(1):151-168. [doi: https://doi.org/10.1080/00207233.2011.641243]
Water management ; Organizations ; Water governance ; International waters ; Data management ; History ; Databases ; Remote sensing ; GIS ; Satellite imagery ; Irrigation systems ; Land use ; Land cover / Central Asia
(Location: IWMI HQ Call no: e-copy only Record No: H044921)
(2.12 MB)
Contemporary water management decisions use many sources and forms of data. The paper discusses the implementation results of data management activities in the water sector carried out in five countries of the Central Asia region. Geoinformation systems, remote sensing tools and databases have been applied worldwide for improving water resources management with differing levels of success. Water management organisations, equipped with data management tools will have better capacities to adapt their decision-making in the changing availability and scarcity of water resources. Application of data management tools for improving collection, storage and processing of data and information are a first step towards improved water governance.
5 Theesfeld, I. 2005. A common pool resource in transition: determinants of institutional change for Bulgaria's postsocialist irrigation sector. Aachen, Germany: Shaker Verlag. 283p.
Irrigation system ; Pumping ; Irrigation water ; History ; Legislation ; Water law ; Water user associations ; Water rates ; Social aspects ; Economic aspects ; Institutions ; Collective action ; Resource management ; Case studies ; Villages ; Data management ; Analytical methods ; Models ; Agricultural production ; Information management / Bulgaria / Veliko Tarnovo Region / Pavel Bania Region / Haskovo Region
(Location: IWMI HQ Call no: 631.7 G824 SHA Record No: H044935)
(0.55 MB)
6 Cameron, A. C.; Trivedi, P. K. 2010. Microeconometrics using stata. Rev. ed. College Station, TX, USA: Stata Press. 706p.
Microeconomics ; Statistical methods ; Econometrics ; Mathematical models ; Computer software ; Data management ; Computer programming ; Optimization methods ; Linear models ; Regression analysis ; Non linear programming ; Computer graphics ; Simulation ; Testing
(Location: IWMI HQ Call no: 330.015195 G000 CAM Record No: H047139)
(1.57 MB)
7 Cameron, A. C.; Trivedi, P. K. 2010. Microeconometrics using stata. Rev. ed. College Station, TX, USA: Stata Press. 706p.
Microeconomics ; Statistical methods ; Econometrics ; Mathematical models ; Computer software ; Data management ; Computer programming ; Optimization methods ; Linear models ; Regression analysis ; Non linear programming ; Computer graphics ; Simulation ; Testing
(Location: IWMI HQ Call no: 330.015195 G000 CAM c2 Record No: H047140)
(1.57 MB)
8 Tetzlaff, D.; Carey, S. K.; McNamara, J. P.; Laudon, H.; Soulsby, C. 2017. The essential value of long-term experimental data for hydrology and water management. Water Resources Research, 53(4):2598-2604. [doi: https://doi.org/10.1002/2017WR020838]
Water management ; Hydrology ; Watersheds ; Experimental design ; Data management ; Models ; Policy making ; Social aspects
(Location: IWMI HQ Call no: e-copy only Record No: H048250)
(0.45 MB)
Observations and data from long-term experimental watersheds are the foundation of hydrology as a geoscience. They allow us to benchmark process understanding, observe trends and natural cycles, and are prerequisites for testing predictive models. Long-term experimental watersheds also are places where new measurement technologies are developed. These studies offer a crucial evidence base for understanding and managing the provision of clean water supplies, predicting and mitigating the effects of floods, and protecting ecosystem services provided by rivers and wetlands. They also show how to manage land and water in an integrated, sustainable way that reduces environmental and economic costs.
9 van der Gun, J. 2018. Data, information, knowledge and diagnostics on groundwater. In Villholth Karen G.; Lopez-Gunn, E.; Conti, K.; Garrido, A.; Van Der Gun, J. (Eds.). Advances in groundwater governance. Leiden, Netherlands: CRC Press. pp.193-213.
Groundwater management ; Groundwater development ; Water resources ; Information management ; Knowledge management ; Data management ; Decision making ; Hydrogeology ; Monitoring ; Risk management
(Location: IWMI HQ Call no: IWMI Record No: H048548)
10 Habtu, S.; Erkossa, Teklu; Froebrich, J.; Tquabo, F.; Fissehaye, D.; Kidanemariam, T.; Xueliang, Cai. 2020. Integrating participatory data acquisition and modelling of irrigation strategies to enhance water productivity in a small-scale irrigation scheme in Tigray, Ethiopia. Irrigation and Drainage, 69(S1):23-37. (Special issue: Innovations in Irrigation Systems in Africa) [doi: https://doi.org/10.1002/ird.2235]
Irrigation schemes ; Small scale systems ; Water productivity ; Water balance ; Water conservation ; Water use ; Crop yield ; Participatory approaches ; Models ; Farmers ; Maize ; Barley ; Social aspects ; Data management ; Monitoring ; Biomass / Ethiopia / Tigray
(Location: IWMI HQ Call no: e-copy only Record No: H048614)
(0.93 MB) (952 KB)
Application of participatory modelling to water-saving strategies in smallholder farming is rare. Farmer-preferred and efficient strategies were identified through participatory modelling. The farmers' basin irrigation and scheduling (I), farmers' scheduling with furrow strategy (II), farmers' scheduling with alternate furrow strategy (III) and scheduling at 55% maximum allowable depletion (MAD) (IV) were evaluated for maize (Zea mais) and barley (Hordeum vulgare) using the FAO AquaCrop model. The results showed that I resulted in over-irrigation for maize and under-irrigation for barley, while IV resulted in maximum yield (8.6 t ha-1 for maize and 2 t ha-1 for barley) with maximum (1.8 kg m-3) and minimum (0.8 kg m-3) water productivity of maize under IV and I, respectively. A shift from I to IV (most preferred strategy by farmers) can save 8440 mm of water, which can possibly bring back 18.5 ha of land into irrigation. It is essential to interact with farmers on a basis of mutual comprehension to increase their trust and to lay a base for discussion, awareness raising and decision making. The transdisciplinary approach, Community of Practice (CoP) and Learning Practice Alliance (LPA) were appropriate platforms for participation. The increased crop yield and water productivity may contribute to ecological and economical sustainability and social equity.
11 International Water Management Institute (IWMI). 2019. IWMI Strategy 2019-2023: innovative water solutions for sustainable development. Colombo, Sri Lanka: International Water Management Institute (IWMI). 36p. [doi: https://doi.org/10.5337/2019.208]
Strategy planning ; Research institutes ; Water resources ; Water management ; Water scarcity ; Water governance ; Water security ; Water supply ; Water use ; Water policy ; Water availability ; Ecosystems ; Climate change ; Food systems ; Food security ; Nexus ; Digital technology ; Environmental impact assessment ; Gender equity ; Women ; Empowerment ; Partnerships ; Research and development ; Models ; Communication ; Natural resources ; Resilience ; Economic growth ; Agricultural productivity ; Poverty ; Urbanization ; Resource recovery ; Reuse ; Sustainable Development Goals ; Data management
(Location: IWMI HQ Call no: IWMI Record No: H049297)
(2.26 MB)
12 International Water Management Institute (IWMI). 2019. IWMI Strategy 2019-2023: innovative water solutions for sustainable development. Summary. Colombo, Sri Lanka: International Water Management Institute (IWMI). 8p. (Also in Arabic)
Strategy planning ; Research institutes ; Water resources ; Water management ; Water governance ; Water security ; Water use ; Water policy ; Sustainable Development Goals ; Ecosystems ; Climate change adaptation ; Food security ; Nexus ; Resilience ; Digital technology ; Innovation ; Gender equality ; Research programmes ; Partnerships ; Economic growth ; Agriculture ; Data management / Middle East / North Africa / Asia / Latin America
(Location: IWMI HQ Call no: IWMI Record No: H049498)
(1.27 MB)
13 International Water Management Institute (IWMI). 2019. IWMI Strategy 2019-2023: innovative water solutions for sustainable development. Summary. In Arabic. Colombo, Sri Lanka: International Water Management Institute (IWMI). 8p. (Also in English)
Strategy planning ; Research institutes ; Water resources ; Water management ; Water governance ; Water security ; Water use ; Water policy ; Sustainable Development Goals ; Ecosystems ; Climate change adaptation ; Food security ; Nexus ; Resilience ; Digital technology ; Innovation ; Gender equality ; Research programmes ; Partnerships ; Economic growth ; Agriculture ; Data management / Middle East / North Africa / Asia / Latin America
(Location: IWMI HQ Call no: IWMI Record No: H049499)
(252 KB)
14 Cudennec, C.; Lins, H.; Uhlenbrook, Stefan; Arheimer, B. 2020. Editorial - Towards FAIR and SQUARE hydrological data. Hydrological Sciences Journal, 65(5):681-682. (Special issue: Hydrological Data: Opportunities and Barriers - Part 1) [doi: https://doi.org/10.1080/02626667.2020.1739397]
(Location: IWMI HQ Call no: e-copy only Record No: H049613)
https://www.tandfonline.com/doi/abs/10.1080/02626667.2020.1739397?needAccess=true#aHR0cHM6Ly93d3cudGFuZGZvbmxpbmUuY29tL2RvaS9wZGYvMTAuMTA4MC8wMjYyNjY2Ny4yMDIwLjE3MzkzOTc/bmVlZEFjY2Vzcz10cnVlQEBAMA==
https://vlibrary.iwmi.org/pdf/H049613.pdf
https://vlibrary.iwmi.org/pdf/H049613.pdf
(0.58 MB) (592 KB)
15 Benin, S.; Karugia, J.; Matchaya, Greenwell; Yade, M. 2020. Improving data quality for the CAADP [Comprehensive Africa Agriculture Development Programme] biennial review: a partnership initiative piloted in five countries. Washington, DC, USA: International Food Policy Research Institute (IFPRI). 54p. (IFPRI Discussion Paper 01925) [doi: https://doi.org/10.2499/p15738coll2.133715]
Data management ; Agricultural development ; Pilot projects ; Development programmes ; Partnerships ; Planning ; Assessment ; Indicators ; Standards ; Knowledge management ; Policy making ; Hunger ; Strategy planning ; Stakeholders ; Training ; Organizations / Kenya / Malawi / Mozambique / Senegal / Togo
(Location: IWMI HQ Call no: e-copy only Record No: H049714)
https://www.ifpri.org/cdmref/p15738coll2/id/133715/filename/133927.pdf
https://vlibrary.iwmi.org/pdf/H049714.pdf
https://vlibrary.iwmi.org/pdf/H049714.pdf
(1.11 MB) (1.11 MB)
This paper presents results of a data partnership framework for strengthening evidence-based planning and implementation that was initiated in 2019 in five selected African countries (Kenya, Malawi, Mozambique, Senegal, and Togo) during the second round of the CAADP biennial review (BR) process. It analyzes the effect of the activities conducted on the data reporting rate and the quality of data reported in the five pilot countries, compared with what was achieved in like-pilot countries. The like-pilot countries are non-pilot countries that have characteristics like the pilot countries at the baseline which affect selection into the pilot or the data reporting and quality outcomes. Different methods (standard deviations, propensity score matching, and two-stage weighted regression) are used to identify the like-pilot countries, and a difference-in-difference method is used to estimate the effect of the pilot activities on the outcomes.
The capacity-strengthening activities focused on working with the country Biennial Review (BR) team to: assess the inaugural or 2018 BR process and identify the data gaps; constitute and train members of data clusters to compile and check the data for the 2020 BR; and then validate and submit the data. The findings show that the activities helped the pilot countries to improve their performance in the data reporting rate and the quality of data reported in the 2020 BR. The largest improvement is observed in Togo and Senegal, followed by Kenya and Malawi, and then Mozambique.
The average increase in the data reporting rate between 2018 and 2020 BRs for the pilot countries is greater than the average progress made in the like-pilot countries by about 6 to 9 % pts. This derives mostly from improvements in the data reporting rate for the indicators under theme 3 on ending hunger. Regarding the quality of data reported (measured as the percent of the data reported that have issues) too, the pilot countries on average performed better than the like-pilot countries, especially with respect to the data reported under themes 2 on investment in agriculture and 3 on ending hunger. But most of the estimated differences have low or no statistical significance. Implications for sustaining the progress made in the pilot countries, as well as for extending the activities to other countries, for the next rounds of the BR are discussed.
The capacity-strengthening activities focused on working with the country Biennial Review (BR) team to: assess the inaugural or 2018 BR process and identify the data gaps; constitute and train members of data clusters to compile and check the data for the 2020 BR; and then validate and submit the data. The findings show that the activities helped the pilot countries to improve their performance in the data reporting rate and the quality of data reported in the 2020 BR. The largest improvement is observed in Togo and Senegal, followed by Kenya and Malawi, and then Mozambique.
The average increase in the data reporting rate between 2018 and 2020 BRs for the pilot countries is greater than the average progress made in the like-pilot countries by about 6 to 9 % pts. This derives mostly from improvements in the data reporting rate for the indicators under theme 3 on ending hunger. Regarding the quality of data reported (measured as the percent of the data reported that have issues) too, the pilot countries on average performed better than the like-pilot countries, especially with respect to the data reported under themes 2 on investment in agriculture and 3 on ending hunger. But most of the estimated differences have low or no statistical significance. Implications for sustaining the progress made in the pilot countries, as well as for extending the activities to other countries, for the next rounds of the BR are discussed.
16 International Water Management Institute (IWMI). 2020. IWMI Gender and Inclusion Strategy 2020-2023: new landscapes of water equality and inclusion. Colombo, Sri Lanka: International Water Management Institute (IWMI). 16p. [doi: https://doi.org/10.5337/2020.205]
Gender equality ; Inclusion ; Strategies ; Organizational change ; Water security ; Water systems ; Digital innovation ; Data management ; Sustainable Development Goals ; Social inequalities ; Equity ; Women ; Social development ; Empowerment ; Structural change ; Climate change ; Resilience ; Risk reduction ; Food systems ; Ecosystems ; Water use ; Multiple use ; Agricultural research for development ; Research programmes ; CGIAR ; Research institutions ; Intervention ; Stakeholders ; Policies ; Knowledge management ; Capacity building
(Location: IWMI HQ Call no: IWMI Record No: H049876)
(1.16 MB)
17 Mehrabi, Z.; McDowell, M. J.; Ricciardi, V.; Levers, C.; Martinez, J. D.; Mehrabi, N.; Wittman, H.; Ramankutty, N.; Jarvis, A. 2020. The global divide in data-driven farming. Nature Sustainability, 7p. (Online first) [doi: https://doi.org/10.1038/s41893-020-00631-0]
Agriculture ; Innovation ; Technology ; Mobile phones ; Data management ; Smallholders ; Farmers ; Farmland ; Households ; Infrastructure ; Internet / Africa / Asia / Latin America / Caribbean
(Location: IWMI HQ Call no: e-copy only Record No: H050061)
(1.62 MB) (1.62 MB)
Big data and mobile technology are widely claimed to be global disruptive forces in agriculture that benefit small-scale farmers. Yet the access of small-scale farmers to this technology is poorly understood. We show that only 24–37% of farms of <1 ha in size are served by third generation (3G) or 4G services, compared to 74–80% of farms of >200 ha in size. Furthermore, croplands with severe yield gaps, climate-stressed locations and food-insecure populations have poor service coverage. Across many countries in Africa, less than ~40% of farming households have Internet access, and the cost of data remains prohibitive. We recommend a digital inclusion agenda whereby governments, the development community and the private sector focus their efforts to improve access so that data-driven agriculture is available to all farmers globally.
18 Donauer, T.; Haile, Alemseged Tamiru; Goshime, Demelash Wondimagegnehu; Siegfried, T.; Ragettli, S. 2020. Gap and opportunity analysis of hydrological monitoring in the Ziway-Shala Sub-basin, Ethiopia. Colombo, Sri Lanka: International Water Management Institute (IWMI). 40p. (IWMI Working Paper 192) [doi: https://doi.org/10.5337/2020.210]
Hydrological data ; Monitoring ; River basin institutions ; Lakes ; Water levels ; Water balance ; Data collection ; Data management ; Water resources ; Water management ; Planning ; Stream flow ; Discharges ; Measurement ; Observation ; Stakeholders ; Citizen science ; Velocity ; Remote sensing ; Time series analysis ; Precipitation ; Rain ; Catchment areas ; Evapotranspiration ; Irrigation ; Socioeconomic development / Ethiopia / Ziway-Shala Sub-Basin
(Location: IWMI HQ Call no: IWMI Record No: H050113)
(4.36 MB)
This working paper was prepared under a development and conservation project – Societal Development and Ecosystems Conservation in Sahelian Wetlands (SAWEL) – focusing on improving food security and nutrition in the Sahel region by helping to safeguard wetlands through ecologically sustainable agricultural water management. SAWEL is supported by the Swiss Agency for Development and Cooperation (SDC). This paper provides an overview of the current situation with regards to hydrological monitoring in the Ziway-Shala sub-basin in the Central Rift Valley of Ethiopia, including details of existing river and lake gauging stations in the sub-basin. The study was jointly conducted by the International Water Management Institute (IWMI) and Hydrosolutions through consultation with staff of the Rift Valley Lakes Basin Development Office (RVLBDO), field trips to gauging stations, inspection of data recording books and reviewing previous studies. In addition to highlighting gaps in hydrological monitoring in the Ziway-Shala sub-basin, opportunities (e.g., remote sensing and citizen science) for novel, non-traditional hydrological monitoring are also presented.
19 Mukuyu, Patience; Lautze, Jonathan; Rieu-Clarke, A.; Saruchera, D.; McCartney, Matthew. 2020. The devil’s in the details: data exchange in transboundary waters. Water International, 45(7-8):884-900. [doi: https://doi.org/10.1080/02508060.2020.1850026]
International waters ; Data management ; Information exchange ; Sustainable Development Goals ; Development indicators ; River basin management ; International cooperation ; River basin institutions ; River flow ; Water quality ; Groundwater table ; Water extraction ; Water management ; Dams / Africa / Europe / Americas / Asia
(Location: IWMI HQ Call no: e-copy only Record No: H050122)
(1.12 MB)
Data exchange in transboundary waters is fundamental to advance cooperative water management. Nonetheless, the degree to which data are shared is not well understood. To gauge this degree, an assessment framework was developed and applied in 25 international river basins. The framework captures the degree to which a set of data parameters is exchanged among countries. A reasonable proportion of surveyed basins exchange some data, but the breadth of such exchange is often limited, and not regular. This paper highlights where data exchange can be improved and provides guidance on how indicators used in global assessment frameworks can motivate this improvement.
20 Hoolohan, C.; Amankwaa, G.; Browne, A. L.; Clear, A.; Holstead, K.; Machen, R.; Michalec, O.; Ward, S. 2021. Resocializing digital water transformations: outlining social science perspectives on the digital water journey. WIREs Water, e1512. (Online first) [doi: https://doi.org/10.1002/wat2.1512]
Water management ; Digital technology ; Data management ; Social sciences ; Research ; Water supply ; Infrastructure ; Water systems ; Water governance ; Communities ; Participation ; Political aspects ; Sustainable development ; Case studies
(Location: IWMI HQ Call no: e-copy only Record No: H050249)
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/wat2.1512?download=true
https://vlibrary.iwmi.org/pdf/H050249.pdf
https://vlibrary.iwmi.org/pdf/H050249.pdf
(2.78 MB) (2.78 MB)
Digital water transformation is often written about as though universally desirable and inevitable, capable of addressing the multifaceted socioecological challenges that water systems face. However, there is not widespread reflection on the complexities, tensions and unintended consequences of digital transformation, its social and political dimensions are often neglected. This article introduces case studies of digital water development, bringing examples of technological innovation into dialogue with literature and empirical research from across the social sciences. We examine how Big Data affects our observations of water in society to shape water management, how the Internet of Things becomes involved in reproducing unjust water politics, how digital platforms are entangled in the varied sociocultural landscape of everyday water use, and how opensource technologies provide new possibilities for participatory water governance. We also reflect on regulatory developments and the possible trajectories of innovation resulting from public-private sector interactions. A socially and politically informed view of digital water is essential for just and sustainable development, and the gap between industry visions of digital water and research within the social sciences is inhibitive. Thus, the analysis presented in this article provides a novel, pluralistic perspective on digital water development and outlines what is required for more inclusive future scholarship, policy and practice.
This article is categorized under: Human Water
This article is categorized under: Human Water
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