Your search found 5 records
1 Li, S.; Cheng, X. 1992. Oasis water-saving agriculture in desert regions. In Shalhevet, J.; Liu, C.; Xu, Y. (Eds.) Water use efficiency in agriculture: Proceedings of the Binational China-Israel Workshop, Beijing, China, 22-26 April 1991. Rehovot, Israel: Priel Publishers. pp.147-149.
(Location: IWMI-HQ Call no: 631.7.2 G592 SHE Record No: H011012)
2 Bales, R. C.; Li, S.; Maguire, K. M.; Yahya, M. T.; Gerba, C. P.; Harvey, R. W. 1995. Virus and bacteria transport in a sandy aquifer, Cape Cod, MA. Ground Water, 33(4):653-661.
Aquifers ; Water pollution ; Water quality ; Groundwater ; Field tests ; Experiments / USA / Massachusetts / Cape Cod
(Location: IWMI-HQ Call no: P 5766 Record No: H028572)
3 Voigt, S.; Giulio-Tonolo, F.; Lyons, J.; Kucera, J.; Jones, B.; Schneiderhan, T.; Platzeck, G.; Kaku, K,; Hazarika, M. K.; Czaran, L.; Li, S.; Pedersen, W.; James, G. K.; Proy, C.; Muthike, D. M.; Bequignon, J.; Guha-Sapir, D. 2016. Global trends in satellite-based emergency mapping. Science, 353(6296):247-252. [doi: https://doi.org/10.1126/science.aad8728]
Earth observation satellites ; Satellite imagery ; Natural disasters ; Mapping ; Disaster preparedness ; Spatial distribution ; Population density ; Technological changes ; International cooperation ; Organizations
(Location: IWMI HQ Call no: e-copy only Record No: H047649)
(1.21 MB)
Over the past 15 years, scientists and disaster responders have increasingly used satellite-based Earth observations for global rapid assessment of disaster situations. We review global trends in satellite rapid response and emergency mapping from 2000 to 2014, analyzing more than 1000 incidents in which satellite monitoring was used for assessing major disaster situations. We provide a synthesis of spatial patterns and temporal trends in global satellite emergency mapping efforts and show that satellite-based emergency mapping is most intensively deployed in Asia and Europe and follows well the geographic, physical, and temporal distributions of global natural disasters. We present an outlook on the future use of Earth observation technology for disaster response and mitigation by putting past and current developments into context and perspective.
4 An, Q.; Wu, S.; Li, L.; Li, S.. 2021. Inequality of virtual water consumption and economic benefits embodied in trade: a case study of the Yellow River Basin, China. Water Policy, 23p. (Online first) [doi: https://doi.org/10.2166/wp.2021.144]
Virtual water ; Water use efficiency ; Economic benefits ; River basins ; Water resources ; Water stress ; Water flow ; Transfer of waters ; Strategies ; Economic development ; Models ; Case studies / China / Yellow River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H050703)
https://iwaponline.com/wp/article-pdf/doi/10.2166/wp.2021.144/955457/wp2021144.pdf
https://vlibrary.iwmi.org/pdf/H050703.pdf
https://vlibrary.iwmi.org/pdf/H050703.pdf
(1.09 MB) (1.09 MB)
The Yellow River Basin (YRB) is facing a serious water shortage. How to effectively alleviate the water crisis and achieve sustainable development in the YRB has become a widespread concern. By using the interregional input–output tables of China in 2002, 2007, 2012 and 2017, we analysed the transfer of virtual water and value-added and the inequality embodied in trade between the YRB and other regions. Results demonstrated that: (1) for the YRB, the pressure on water resources was alleviated through the net inflow of virtual water after 2007. However, the economic situation deteriorated due to the net outflow of value-added in interregional trade after 2012. (2) There existed a serious inequality in virtual water consumption and economic benefits embodied in trade between the YRB and Beijing, Shanghai, etc., with regional inequality (RI) index exceeding 1. Meanwhile, agriculture faced the most serious inequality among all sectors in the YRB. Accordingly, the YRB should aim to optimise its industrial structure and improve water use efficiency to achieve a win-win situation for both economic development and net virtual water inflow. In addition, policymakers should take measures to flexibly adjust the trade scale between the YRB and other regions based on the RI index.
5 Otto, F. E. L.; Zachariah, M.; Saeed, F.; Siddiqi, A.; Kamil, S.; Mushtaq, H.; Arulalan, T.; AchutaRao, K.; Chaithra, S. T.; Barnes, C.; Philip, S.; Kew, S.; Vautard, R.; Koren, G.; Pinto, I.; Wolski, P.; Vahlberg, M.; Singh, R.; Arrighi, J.; van Aalst, M.; Thalheimer, L.; Raju, E.; Li, S.; Yang, W.; Harrington, L. J.; Clarke, B. 2023. Climate change increased extreme monsoon rainfall, flooding highly vulnerable communities in Pakistan. Environmental Research: Climate, 2(2):025001. [doi: https://doi.org/10.1088/2752-5295/acbfd5]
Climate change ; Monsoon climate ; Rainfall ; Flooding ; Vulnerability ; Communities ; Infrastructure ; Precipitation ; Early warning systems ; Households ; Socioeconomic aspects ; Resilience / Pakistan / Balochistan / Sindh
(Location: IWMI HQ Call no: e-copy only Record No: H052368)
https://iopscience.iop.org/article/10.1088/2752-5295/acbfd5/pdf
https://vlibrary.iwmi.org/pdf/H052368.pdf
https://vlibrary.iwmi.org/pdf/H052368.pdf
(4.36 MB) (4.36 MB)
As a direct consequence of extreme monsoon rainfall throughout the summer 2022 season Pakistan experienced the worst flooding in its history. We employ a probabilistic event attribution methodology as well as a detailed assessment of the dynamics to understand the role of climate change in this event. Many of the available state-of-the-art climate models struggle to simulate these rainfall characteristics. Those that pass our evaluation test generally show a much smaller change in likelihood and intensity of extreme rainfall than the trend we found in the observations. This discrepancy suggests that long-term variability, or processes that our evaluation may not capture, can play an important role, rendering it infeasible to quantify the overall role of human-induced climate change. However, the majority of models and observations we have analysed show that intense rainfall has become heavier as Pakistan has warmed. Some of these models suggest climate change could have increased the rainfall intensity up to 50%. The devastating impacts were also driven by the proximity of human settlements, infrastructure (homes, buildings, bridges), and agricultural land to flood plains, inadequate infrastructure, limited ex-ante risk reduction capacity, an outdated river management system, underlying vulnerabilities driven by high poverty rates and socioeconomic factors (e.g. gender, age, income, and education), and ongoing political and economic instability. Both current conditions and the potential further increase in extreme peaks in rainfall over Pakistan in light of anthropogenic climate change, highlight the urgent need to reduce vulnerability to extreme weather in Pakistan.
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