Your search found 6 records
1 Satoh, Y.; Burek, P.; Wada, Y.; Flrorke, M.; Eisner, S.; Hanasaki, N.; Kahil, T.; Tramberend, S.; Fischer, G.; Wiberg, David. 2016. Asian water futures - multi scenarios, models and criteria assessment [Abstract only] 1p.
Water resources ; Water availability ; Water use ; Water scarcity ; Sustainable development ; Impact assessment ; Climate change ; Renewable resources / Asia
(Location: IWMI HQ Call no: e-copy only Record No: H047863)
http://meetingorganizer.copernicus.org/EGU2016/EGU2016-16888.pdf
https://vlibrary.iwmi.org/pdf/H047863.pdf
https://vlibrary.iwmi.org/pdf/H047863.pdf
2 Burek, P.; Satoh, Y.; Wada, Y.; Floerke, M.; Eisner, S.; Hanasaki, N.; Wiberg, David. 2016. Looking at the spatial and temporal distribution of global water availability and demand [Abstract only] Paper presented at the European Geosciences Union (EGU) General Assembly, Vienna, Austria, 17-22 April 2016. 1p.
Water availability ; Water demand ; Water scarcity ; Water stress ; Spatial distribution ; Impact assessment
(Location: IWMI HQ Call no: e-copy only Record No: H047864)
http://meetingorganizer.copernicus.org/EGU2016/EGU2016-16663.pdf
https://vlibrary.iwmi.org/pdf/H047864.pdf
https://vlibrary.iwmi.org/pdf/H047864.pdf
3 Burek, P.; Langan, S.; Cosgrove, W.; Fischer, G.; Kahil, T.; Magnusziewski, P.; Satoh, Y.; Tramberend, S.; Wada, Y.; Wiberg, David. 2016. The water futures and solutions initiative of IIASA [International Institute for Applied Systems Analysis] Paper presented at the 7th International Conference on Integrated Disaster Risk Management Disasters and Development: Towards a Risk Aware Society, Isfahan, Iran, 1-3 October 1-3 2016. 4p.
Water security ; Water policy ; Water management ; Water resources ; Water supply ; Water availability ; Water demand ; Water scarcity ; Groundwater management ; Surface water ; Stakeholders ; Food resources ; Energy demand ; Economic aspects
(Location: IWMI HQ Call no: e-copy only Record No: H047887)
http://pure.iiasa.ac.at/13872/1/Proceedings_extended_abstract_IDRiM%202016%2032.pdf
https://vlibrary.iwmi.org/pdf/H047887.pdf
https://vlibrary.iwmi.org/pdf/H047887.pdf
The Water Futures and Solutions Initiative (WFaS) is a cross-sector, collaborative global project. Its objective is to developing scientific evidence and applying systems analysis to help identify water-related policies and management practices that work together consistently across scales and sectors to improve human well-being through water security. The Water Futures and Solutions (WFaS) initiative has produced a consistent and comprehensive projection for global possible water futures. Focusing on the near future until the 2050s, WFaS assessed how water future changes over time, employing a multi-model projection.
4 Nhamo, Luxon; van Dijk, R.; Magidi, J.; Wiberg, David; Tshikolomo, K. 2018. Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV [Unmanned Aerial Vehicle] capability. Remote Sensing, 10(5):1-12. (Special issue: Remote Sensing for Crop Water Management). [doi: https://doi.org/10.3390/rs10050712]
Irrigated sites ; Remote sensing ; Unmanned aerial vehicles ; Land use mapping ; Land cover mapping ; Satellite imagery ; Landsat ; Farmland ; Vegetation index ; Crops / South Africa / Limpopo Province / Venda / Gazankulu
(Location: IWMI HQ Call no: e-copy only Record No: H048752)
(2.23 MB) (2.23 MB)
Although advances in remote sensing have enhanced mapping and monitoring of irrigated areas, producing accurate cropping information through satellite image classification remains elusive due to the complexity of landscapes, changes in reflectance of different land-covers, the remote sensing data selected, and image processing methods used, among others. This study extracted agricultural fields in the former homelands of Venda and Gazankulu in Limpopo Province, South Africa. Landsat 8 imageries for 2015 were used, applying the maximum likelihood supervised classifier to delineate the agricultural fields. The normalized difference vegetation index (NDVI) applied on Landsat imageries on the mapped fields during the dry season (July to August) was used to identify irrigated areas, because years of satellite data analysis suggest that healthy crop conditions during dry seasons are only possible with irrigation. Ground truth points totaling 137 were collected during fieldwork for pre-processing and accuracy assessment. An accuracy of 96% was achieved on the mapped agricultural fields, yet the irrigated area map produced an initial accuracy of only 71%. This study explains and improves the 29% error margin from the irrigated areas. Accuracy was enhanced through post-classification correction (PCC) using 74 post-classification points randomly selected from the 2015 irrigated area map. High resolution aerial photographs of the 74 sample fields were acquired by an unmanned aerial vehicle (UAV) to give a clearer picture of the irrigated fields. The analysis shows that mapped irrigated fields that presented anomalies included abandoned croplands that had green invasive alien species or abandoned fruit plantations that had high NDVI values. The PCC analysis improved irrigated area mapping accuracy from 71% to 95%.
5 Gotor, E.; Nedumaran, S.; Cenacchi, N.; Tran, N.; Dunston, S.; Dermawan, A.; Valera, H.; Wiberg, David; Tesfaye, K.; Mausch, K.; Langan, Simon. 2021. Land and water systems: looking to the future and a more resilient and sustainable society and environment. SocArXiv. 24p. [doi: https://doi.org/10.31235/osf.io/ajs6q]
Land management ; Water systems ; Water management ; Resilience ; Sustainability ; Society ; Climate change adaptation ; Climate change mitigation ; Water resources ; Models
(Location: IWMI HQ Call no: e-copy only Record No: H050899)
(1.01 MB) (1.01 MB)
Food, land, and water systems are facing unprecedented change. The world’s population is projected to grow to approximately 10 billion people by 2050, while aging and declining in some regions. Global average incomes are expected to keep increasing at a slow but steady pace. With increasing incomes and the ability of consumers to purchase more and better food in combination with population growth, food demand is projected to grow substantially over the next three decades. Meanwhile, demographic changes and economic development also drive urbanization, migration, and structural transformation of rural communities. At the same time changes to precipitation and temperature as well as the occurrence of extreme events driven by climate change are becoming more prevalent and impacting society and the environment. Currently, humanity is approaching or exceeding planetary boundaries in some areas, with over-use of limited productive natural resources such as water and phosphate, net emissions of greenhouse gases, and decreases in biodiversity.
Much is published about food and agriculture and the supporting/underpinning land and water systems, but no single source focuses regularly and systematically on the future of agriculture and food systems, particularly on the challenges and opportunities faced by developing countries. This working paper is part of an effort by the CGIAR foresight team to help fill that gap. The effort recognizes that there is much to learn from past experience, and there are clearly many urgent and immediate challenges, but given the pace and complexity of change we are currently experiencing, there is also an increasing need to look carefully into the future of food, land, and water systems to inform decision making today.
Much is published about food and agriculture and the supporting/underpinning land and water systems, but no single source focuses regularly and systematically on the future of agriculture and food systems, particularly on the challenges and opportunities faced by developing countries. This working paper is part of an effort by the CGIAR foresight team to help fill that gap. The effort recognizes that there is much to learn from past experience, and there are clearly many urgent and immediate challenges, but given the pace and complexity of change we are currently experiencing, there is also an increasing need to look carefully into the future of food, land, and water systems to inform decision making today.
6 Jampani, Mahesh; Mateo-Sagasta, Javier; Chandrasekar, A.; Fatta-Kassinos, D.; Graham, D. W.; Gothwal, Ritu; Moodley, A.; Chadag, V. M.; Wiberg, David; Langan, Simon. 2024. Fate and transport modelling for evaluating antibiotic resistance in aquatic environments: current knowledge and research priorities. Journal of Hazardous Materials, 461:132527. [doi: https://doi.org/10.1016/j.jhazmat.2023.132527]
Antibiotic resistance ; Aquatic environment ; Gene transfer ; Water quality ; Modelling ; Environmental factors ; Health hazards ; Sediment ; Groundwater ; Wastewater treatment plants ; Microbial communities ; Bacteria ; Risk assessment ; Climate change
(Location: IWMI HQ Call no: e-copy only Record No: H052253)
https://www.sciencedirect.com/science/article/pii/S0304389423018101/pdfft?md5=6e8e888c620eebe6a5b9d2696e368c04&pid=1-s2.0-S0304389423018101-main.pdf
https://vlibrary.iwmi.org/pdf/H052253.pdf
https://vlibrary.iwmi.org/pdf/H052253.pdf
(7.70 MB) (7.70 MB)
Antibiotics have revolutionised medicine in the last century and enabled the prevention of bacterial infections that were previously deemed untreatable. However, in parallel, bacteria have increasingly developed resistance to antibiotics through various mechanisms. When resistant bacteria find their way into terrestrial and aquatic environments, animal and human exposures increase, e.g., via polluted soil, food, and water, and health risks multiply. Understanding the fate and transport of antibiotic resistant bacteria (ARB) and the transfer mechanisms of antibiotic resistance genes (ARGs) in aquatic environments is critical for evaluating and mitigating the risks of resistant-induced infections. The conceptual understanding of sources and pathways of antibiotics, ARB, and ARGs from society to the water environments is essential for setting the scene and developing an appropriate framework for modelling. Various factors and processes associated with hydrology, ecology, and climate change can significantly affect the fate and transport of ARB and ARGs in natural environments. This article reviews current knowledge, research gaps, and priorities for developing water quality models to assess the fate and transport of ARB and ARGs. The paper also provides inputs on future research needs, especially the need for new predictive models to guide risk assessment on AR transmission and spread in aquatic environments.
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