Your search found 4 records
1 Vollmer, D.; Shaad, K.; Souter, N. J.; Farrell, T.; Dudgeon, D.; Sullivan, C. A.; Fauconnier, I.; MacDonald, G. M.; McCartney, Matthew P.; Power, A. G.; McNally, A.; Andelman, S. J.; Capon, T.; Devineni, N.; Apirumanekul, C.; Nam Ng, C.; Shaw, M. R.; Wang, R. Y.; Lai, C.; Wang, Z.; Regan, H. M. 2018. Integrating the social, hydrological and ecological dimensions of freshwater health: the freshwater health index. Science of the Total Environment, 627:304-313. [doi: https://doi.org/10.1016/j.scitotenv.2018.01.040]
Freshwater ; Water governance ; Stakeholders ; Ecosystem services ; Ecological factors ; Water security ; Water resources ; Water management ; Water demand ; Sustainability ; Environmental health ; Indicators ; River basins / China / Dongjiang River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H048519)
https://ac.els-cdn.com/S0048969718300421/1-s2.0-S0048969718300421-main.pdf?_tid=f9ece1d2-1aa6-11e8-bd92-00000aab0f6c&acdnat=1519616689_e389c8dbeceef2e477e95bff7632ec3f
https://vlibrary.iwmi.org/pdf/H048519.pdf
https://vlibrary.iwmi.org/pdf/H048519.pdf
(1.55 MB)
Degradation of freshwater ecosystems and the services they provide is a primary cause of increasing water insecurity, raising the need for integrated solutions to freshwater management. While methods for characterizing the multi-faceted challenges of managing freshwater ecosystems abound, they tend to emphasize either social or ecological dimensions and fall short of being truly integrative. This paper suggests that management for sustainability of freshwater systems needs to consider the linkages between human water uses, freshwater ecosystems and governance. We present a conceptualization of freshwater resources as part of an integrated social-ecological system and propose a set of corresponding indicators to monitor freshwater ecosystem health and to highlight priorities for management. We demonstrate an application of this new framework —the Freshwater Health Index (FHI) — in the Dongjiang River Basin in southern China, where stakeholders are addressing multiple and conflicting freshwater demands. By combining empirical and modeled datasets with surveys to gauge stakeholders' preferences and elicit expert information about governance mechanisms, the FHI helps stakeholders understand the status of freshwater ecosystems in their basin, how ecosystems are being manipulated to enhance or decrease water-related services, and how well the existing water resource management regime is equipped to govern these dynamics over time. This framework helps to operationalize a truly integrated approach to water resource management by recognizing the interplay between governance, stakeholders, freshwater ecosystems and the services they provide.
2 Vatta, K.; Sidhu, R. S.; Lall, U.; Birthal, P. S.; Taneja, G.; Kaur, B.; Devineni, N.; MacAlister, C. 2018. Assessing the economic impact of a low-cost water-saving irrigation technology in Indian Punjab: the tensiometer. Water International, 43(2):305-321. (Special issue: Climate Change and Adaptive Water Management: Innovative Solutions from the Global South). [doi: https://doi.org/10.1080/02508060.2017.1416443]
Water conservation ; Appropriate technology ; Irrigation scheduling ; Tensiometers ; Economic impact ; Surpluses ; Groundwater ; Water use ; Energy consumption ; Electricity ; Agriculture ; Rice ; Farmers ; Socioeconomic environment ; Regression analysis / India / Punjab
(Location: IWMI HQ Call no: e-copy only Record No: H048598)
https://www.tandfonline.com/doi/pdf/10.1080/02508060.2017.1416443?needAccess=true
https://vlibrary.iwmi.org/pdf/H048598.pdf
https://vlibrary.iwmi.org/pdf/H048598.pdf
(2.09 MB) (2.09 MB)
This article assesses the impact of the tensiometer on the consumption of groundwater and electric power in paddy cultivation in Indian Punjab, and its subsequent economic benefits. We find that compared to the continuous flooding method, the tensiometer-based application of irrigation reduces water and power consumption by 13%, cutting variable costs by 7% without any yield penalty. If 30% of the paddy area is irrigated following tensiometer-based schedules, then the state could save a total of 0.67 million ha m of water and 1516 million kWh of electric power in 2010–2025, with aggregate economic benefits of US$ 459 million.
3 Rao, M. P.; Cook, E. R.; Cook, B. I.; Palmer, J. G.; Uriarte, M.; Devineni, N.; Lall, U.; D’Arrigo, R. D.; Woodhouse, C. A.; Ahmed, M.; Zafar, M. U.; Khan, N.; Khan, A.; Wahab, M. 2018. Six centuries of Upper Indus Basin streamflow variability and its climatic drivers. Water Resources Research, 54(8):5687-5701. [doi: https://doi.org/10.1029/2018WR023080]
River basins ; Stream flow ; Climatic factors ; Temperature ; Precipitation ; Discharges ; Forecasting ; Models ; Regression analysis ; Principal component analysis / Pakistan / Upper Indus Basin / Partab Bridge / Doyian / Gilgit / Kachora
(Location: IWMI HQ Call no: e-copy only Record No: H048920)
(3.32 MB)
Our understanding of the full range of natural variability in streamflow, including how modern flow compares to the past, is poorly understood for the Upper Indus Basin because of short instrumental gauge records. To help address this challenge, we use Hierarchical Bayesian Regression with partial pooling to develop six centuries long (1394–2008 CE) streamflow reconstructions at three Upper Indus Basin gauges (Doyian, Gilgit, and Kachora), concurrently demonstrating that Hierarchical Bayesian Regression can be used to reconstruct short records with interspersed missing data. At one gauge (Partab Bridge), with a longer instrumental record (47 years), we develop reconstructions using both Bayesian regression and the more conventionally used principal components regression. The reconstructions produced by principal components regression and Bayesian regression at Partab Bridge are nearly identical and yield comparable reconstruction skill statistics, highlighting that the resulting tree ring reconstruction of streamflow is not dependent on the choice of statistical method. Reconstructions at all four reconstructions indicate that flow levels in the 1990s were higher than mean flow for the past six centuries. While streamflow appears most sensitive to accumulated winter (January–March) precipitation and summer (May–September) temperature, with warm summers contributing to high flow through increased melt of snow and glaciers, shifts in winter precipitation and summer temperatures cannot explain the anomalously high flow during the 1990s. Regardless, the sensitivity of streamflow to summer temperatures suggests that projected warming may increase streamflow in coming decades, though long-term water risk will additionally depend on changes in snowfall and glacial mass balance.
4 Agonafir, C.; Lakhankar, T.; Khanbilvardi, R.; Krakauer, N.; Radell, D.; Devineni, N.. 2023. A review of recent advances in urban flood research. Water Security, 19:100141. [doi: https://doi.org/10.1016/j.wasec.2023.100141]
Flooding ; Research ; Urban areas ; Urbanization ; Climate change ; Hydraulic models ; Machine learning ; Stormwater runoff ; Infrastructure ; Precipitation ; Drainage systems ; Remote sensing ; Rainfall ; Sea level / United States of America / New York
(Location: IWMI HQ Call no: e-copy only Record No: H052063)
https://www.sciencedirect.com/science/article/pii/S2468312423000093/pdfft?md5=7feb0c59caa8f0c9e3c864f127e19aa9&pid=1-s2.0-S2468312423000093-main.pdf
https://vlibrary.iwmi.org/pdf/H052063.pdf
https://vlibrary.iwmi.org/pdf/H052063.pdf
(1.03 MB) (1.03 MB)
Due to a changing climate and increased urbanization, an escalation of urban flooding occurrences and its aftereffects are ever more dire. Notably, the frequency of extreme storms is expected to increase, and as built environments impede the absorption of water, the threat of loss of human life and property damages exceeding billions of dollars are heightened. Hence, agencies and organizations are implementing novel modeling methods to combat the consequences. This review details the concepts, impacts, and causes of urban flooding, along with the associated modeling endeavors. Moreover, this review describes contemporary directions towards urban flood resolutions, including the more recent hydraulic-hydrologic models that use modern computing architecture and the trending applications of artificial intelligence/machine learning techniques and crowdsourced data. Ultimately, a reference of utility is provided, as scientists and engineers are given an outline of the recent advances in urban flooding research.
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