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Hydrology and Earth System Sciences
An interactive open-access journal of the European Geosciences Union
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IF5.153
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5.460
5.460
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7.8
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SNIP1.623
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Volume 19, issue 7
Hydrol. Earth Syst. Sci., 19, 3301–3318, 2015
https://doi.org/10.5194/hess-19-3301-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-3301-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 19, 3301–3318, 2015
https://doi.org/10.5194/hess-19-3301-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-3301-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article 31 Jul 2015
Research article | 31 Jul 2015
Complex network theory, streamflow, and hydrometric monitoring system design
M. J. Halverson and S. W. Fleming
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Theory development
A watershed classification approach that looks beyond hydrology: application to a semi-arid, agricultural region in Canada
Role-play simulations as an aid to achieve complex learning outcomes in hydrological science
Using a coupled agent-based modeling approach to analyze the role of risk perception in water management decisions
Geostatistical interpolation by quantile kriging
Flooded by jargon: how the interpretation of water-related terms differs between hydrology experts and the general audience
Challenges to implementing bottom-up flood risk decision analysis frameworks: how strong are social networks of flooding professionals?
Socio-hydrological spaces in the Jamuna River floodplain in Bangladesh
An improved method for calculating the regional crop water footprint based on a hydrological process analysis
How downstream sub-basins depend on upstream inflows to avoid scarcity: typology and global analysis of transboundary rivers
An alternative approach for socio-hydrology: case study research
HESS Opinions: A conceptual framework for assessing socio-hydrological resilience under change
Socio-hydrological perspectives of the co-evolution of humans and groundwater in Cangzhou, North China Plain
Towards systematic planning of small-scale hydrological intervention-based research
Geoscience on television: a review of science communication literature in the context of geosciences
A "mental models" approach to the communication of subsurface hydrology and hazards
Review and classification of indicators of green water availability and scarcity
Socio-hydrological water balance for water allocation between human and environmental purposes in catchments
Long-term monitoring of nitrate transport to drainage from three agricultural clayey till fields
Hydrological drought types in cold climates: quantitative analysis of causing factors and qualitative survey of impacts
Linked hydrologic and social systems that support resilience of traditional irrigation communities
Assessing blue and green water utilisation in wheat production of China from the perspectives of water footprint and total water use
A new framework for resolving conflicts over transboundary rivers using bankruptcy methods
Quantifying the human impact on water resources: a critical review of the water footprint concept
Endogenous change: on cooperation and water availability in two ancient societies
Socio-hydrology and the science–policy interface: a case study of the Saskatchewan River basin
Relationships between environmental governance and water quality in a growing metropolitan area of the Pacific Northwest, USA
A journey of a thousand miles begins with one small step – human agency, hydrological processes and time in socio-hydrology
Socio-hydrologic perspectives of the co-evolution of humans and water in the Tarim River basin, Western China: the Taiji–Tire model
Acting, predicting and intervening in a socio-hydrological world
Evolving water science in the Anthropocene
Hard paths, soft paths or no paths? Cross-cultural perceptions of water solutions
Reconstructing the duty of water: a study of emergent norms in socio-hydrology
Water consumption from hydropower plants – review of published estimates and an assessment of the concept
Water Accounting Plus (WA+) – a water accounting procedure for complex river basins based on satellite measurements
Cyanobacterial and microcystins dynamics following the application of hydrogen peroxide to waste stabilisation ponds
A regional and multi-faceted approach to postgraduate water education – the WaterNet experience in Southern Africa
Reframing hydrology education to solve coupled human and environmental problems
Experiences from online and classroom education in hydroinformatics
Enhancing capacities of riparian professionals to address and resolve transboundary issues in international river basins: experiences from the Lower Mekong River Basin
Assessing ecological land use and water demand of river systems: a case study in Luanhe River, North China
Irrigania – a web-based game about sharing water resources
Competence formation and post-graduate education in the public water sector in Indonesia
A climate-flood link for the lower Mekong River
Experiences of using mobile technologies and virtual field tours in Physical Geography: implications for hydrology education
The Indus basin in the framework of current and future water resources management
Assessing water resources adaptive capacity to climate change impacts in the Pacific Northwest Region of North America
Climate change and mountain water resources: overview and recommendations for research, management and policy
Sustainability of water resources management in the Indus Basin under changing climatic and socio economic conditions
Jared D. Wolfe, Kevin R. Shook, Chris Spence, and Colin J. Whitfield
Hydrol. Earth Syst. Sci., 23, 3945–3967, https://doi.org/10.5194/hess-23-3945-2019, https://doi.org/10.5194/hess-23-3945-2019, 2019
Short summary
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Watershed classification can identify regions expected to respond similarly to disturbance. Methods should extend beyond hydrology to include other environmental questions, such as ecology and water quality. We developed a classification for the Canadian Prairie and identified seven classes defined by watershed characteristics, including elevation, climate, wetland density, and surficial geology. Results provide a basis for evaluating watershed response to land management and climate condition.
Arvid Bring and Steve W. Lyon
Hydrol. Earth Syst. Sci., 23, 2369–2378, https://doi.org/10.5194/hess-23-2369-2019, https://doi.org/10.5194/hess-23-2369-2019, 2019
Short summary
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Hydrology education strives to teach students both quantitative ability and complex professional skills. Our research shows that role-play simulations are useful to make students able to integrate various analytical skills in complicated settings while not interfering with traditional teaching that fosters their ability to solve mathematical problems. Despite this there are several potential challenging areas in using role-plays, and we therefore suggest ways around these potential roadblocks.
Jin-Young Hyun, Shih-Yu Huang, Yi-Chen Ethan Yang, Vincent Tidwell, and Jordan Macknick
Hydrol. Earth Syst. Sci., 23, 2261–2278, https://doi.org/10.5194/hess-23-2261-2019, https://doi.org/10.5194/hess-23-2261-2019, 2019
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This study applies a two-way coupled agent-based model (ABM) with a river-reservoir management model (RiverWare) to analyze the role of risk perception in water management decisions using the Bayesian inference mapping joined with the cost–loss model. The calibration results capture the dynamics of historical irrigated area and streamflow changes and suggest that the proposed framework improves the representation of human decision-making processes compared to conventional rule-based ABMs.
Henning Lebrenz and András Bárdossy
Hydrol. Earth Syst. Sci., 23, 1633–1648, https://doi.org/10.5194/hess-23-1633-2019, https://doi.org/10.5194/hess-23-1633-2019, 2019
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Many variables, e.g., in hydrology, geology, and social sciences, are only observed at a few distinct measurement locations, and their actual distribution in the entire space remains unknown. We introduce the new geostatistical interpolation method of
quantile kriging, providing an improved estimator and associated uncertainty. It can also host variables, which would not fulfill the implicit presumptions of the traditional geostatistical interpolation methods.
Gemma J. Venhuizen, Rolf Hut, Casper Albers, Cathelijne R. Stoof, and Ionica Smeets
Hydrol. Earth Syst. Sci., 23, 393–403, https://doi.org/10.5194/hess-23-393-2019, https://doi.org/10.5194/hess-23-393-2019, 2019
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Do experts attach the same meaning as laypeople to terms often used in hydrology such as "river", "flooding" and "downstream"? In this study a survey was completed by 34 experts and 119 laypeople to answer this question. We found that there are some profound differences between experts and laypeople: words like "river" and "river basin" turn out to have a different interpretation between the two groups. However, when using pictures there is much more agreement between the groups.
James O. Knighton, Osamu Tsuda, Rebecca Elliott, and M. Todd Walter
Hydrol. Earth Syst. Sci., 22, 5657–5673, https://doi.org/10.5194/hess-22-5657-2018, https://doi.org/10.5194/hess-22-5657-2018, 2018
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Decision-making for flood risk management is often the collective effort of professionals within government, NGOs, private practice, and advocacy groups. Our research investigates differences among flood experts within Tompkins County, New York (USA). We explore how they differ in their perceptions of flooding risk, desired project outcomes, and knowledge. We observe substantial differences among experts, and recommend formally acknowledging these perceptions when engaging in flood management.
Md Ruknul Ferdous, Anna Wesselink, Luigia Brandimarte, Kymo Slager, Margreet Zwarteveen, and Giuliano Di Baldassarre
Hydrol. Earth Syst. Sci., 22, 5159–5173, https://doi.org/10.5194/hess-22-5159-2018, https://doi.org/10.5194/hess-22-5159-2018, 2018
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Socio-hydrological space (SHS) is a concept that enriches the study of socio-hydrology because it helps understand the detailed human–water interactions in a specific location. The concept suggests that the interactions between society and water are place-bound because of differences in social processes and river dynamics. This would be useful for developing interventions under disaster management, but also other development goals. SHS provides a new way of looking at socio-hydrological systems.
Xiao-Bo Luan, Ya-Li Yin, Pu-Te Wu, Shi-Kun Sun, Yu-Bao Wang, Xue-Rui Gao, and Jing Liu
Hydrol. Earth Syst. Sci., 22, 5111–5123, https://doi.org/10.5194/hess-22-5111-2018, https://doi.org/10.5194/hess-22-5111-2018, 2018
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At present, the water footprint calculated by the quantitative method of crop production water footprint is only a field-scale water footprint, which does not contain all the water consumption of the crop growth process, so its calculated crop production water footprint is incomplete. In this study, the hydrological model SWAT was used to analyze the real water consumption in the course of crop growth, so that the actual water consumption of the crops could be more accurately reflected.
Hafsa Ahmed Munia, Joseph H. A. Guillaume, Naho Mirumachi, Yoshihide Wada, and Matti Kummu
Hydrol. Earth Syst. Sci., 22, 2795–2809, https://doi.org/10.5194/hess-22-2795-2018, https://doi.org/10.5194/hess-22-2795-2018, 2018
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An analytical framework is developed drawing on ideas of regime shifts from resilience literature to understand the transition between cases where water scarcity is or is not experienced depending on whether water from upstream is or is not available. The analysis shows 386 million people dependent on upstream water to avoid possible stress and 306 million people dependent on upstream water to avoid possible shortage. This provides insights into implications for negotiations between sub-basins.
Erik Mostert
Hydrol. Earth Syst. Sci., 22, 317–329, https://doi.org/10.5194/hess-22-317-2018, https://doi.org/10.5194/hess-22-317-2018, 2018
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This paper argues for an alternative approach for socio‒hydrology: detailed case study research. Detailed case study research can increase understanding of how society interacts with hydrology, offers more levers for management than coupled modelling, and facilitates interdisciplinary cooperation. The paper presents a case study of the Dommel Basin in the Netherlands and Belgium and compares this with a published model of the Kissimmee Basin in Florida.
Feng Mao, Julian Clark, Timothy Karpouzoglou, Art Dewulf, Wouter Buytaert, and David Hannah
Hydrol. Earth Syst. Sci., 21, 3655–3670, https://doi.org/10.5194/hess-21-3655-2017, https://doi.org/10.5194/hess-21-3655-2017, 2017
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The paper aims to propose a conceptual framework that supports nuanced understanding and analytical assessment of resilience in socio-hydrological contexts. We identify three framings of resilience for different human–water couplings, which have distinct application fields and are used for different water management challenges. To assess and improve socio-hydrological resilience in each type, we introduce a
resilience canvasas a heuristic tool to design bespoke management strategies.
Songjun Han, Fuqiang Tian, Ye Liu, and Xianhui Duan
Hydrol. Earth Syst. Sci., 21, 3619–3633, https://doi.org/10.5194/hess-21-3619-2017, https://doi.org/10.5194/hess-21-3619-2017, 2017
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The history of the co-evolution of the coupled human–groundwater system in Cangzhou (a region with the most serious depression cone in the North China Plain) is analyzed with a particular focus on how the groundwater crisis unfolded and how people attempted to settle the crisis. The evolution of the system was substantially impacted by two droughts. Further restoration of groundwater environment could be anticipated, but the occurrence of drought still remains an undetermined external forcing.
Kharis Erasta Reza Pramana and Maurits Willem Ertsen
Hydrol. Earth Syst. Sci., 20, 4093–4115, https://doi.org/10.5194/hess-20-4093-2016, https://doi.org/10.5194/hess-20-4093-2016, 2016
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The effects of human actions in small-scale water development initiatives and the associated hydrological research activities are basically unspecified. We argue that more explicit attention helps to design more appropriate answers to the challenges faced in field studies. A more systematic approach is proposed that would be useful when designing field projects: two sets of questions on (1) dealing with surprises and (2) cost–benefits of data gathering.
Rolf Hut, Anne M. Land-Zandstra, Ionica Smeets, and Cathelijne R. Stoof
Hydrol. Earth Syst. Sci., 20, 2507–2518, https://doi.org/10.5194/hess-20-2507-2016, https://doi.org/10.5194/hess-20-2507-2016, 2016
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To help geo-scientists prepare for TV appearances, we review the scientific literature on effective science communication related to TV. We identify six main themes: scientist motivation, target audience, narratives and storytelling, jargon and information transfer, relationship between scientists and journalists, and stereotypes of scientists on TV. We provide a detailed case study as illustration for each theme.
Hazel Gibson, Iain S. Stewart, Sabine Pahl, and Alison Stokes
Hydrol. Earth Syst. Sci., 20, 1737–1749, https://doi.org/10.5194/hess-20-1737-2016, https://doi.org/10.5194/hess-20-1737-2016, 2016
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This paper provides empirical evidence for the value of using a psychology-based approach to communication of hydrology and hazards. It demonstrates the use of the "mental models" approach to risk assessment used in a regional geoscience context to explore the conceptions of the geological subsurface between experts and non-experts, and how that impacts on communication.
J. F. Schyns, A. Y. Hoekstra, and M. J. Booij
Hydrol. Earth Syst. Sci., 19, 4581–4608, https://doi.org/10.5194/hess-19-4581-2015, https://doi.org/10.5194/hess-19-4581-2015, 2015
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The paper draws attention to the fact that green water (soil moisture returning to the atmosphere through evaporation) is a scarce resource, because its availability is limited and there are competing demands for green water. Around 80 indicators of green water availability and scarcity are reviewed and classified based on their scope and purpose of measurement. This is useful in order to properly include limitations in green water availability in water scarcity assessments.
S. Zhou, Y. Huang, Y. Wei, and G. Wang
Hydrol. Earth Syst. Sci., 19, 3715–3726, https://doi.org/10.5194/hess-19-3715-2015, https://doi.org/10.5194/hess-19-3715-2015, 2015
V. Ernstsen, P. Olsen, and A. E. Rosenbom
Hydrol. Earth Syst. Sci., 19, 3475–3488, https://doi.org/10.5194/hess-19-3475-2015, https://doi.org/10.5194/hess-19-3475-2015, 2015
A. F. Van Loon, S. W. Ploum, J. Parajka, A. K. Fleig, E. Garnier, G. Laaha, and H. A. J. Van Lanen
Hydrol. Earth Syst. Sci., 19, 1993–2016, https://doi.org/10.5194/hess-19-1993-2015, https://doi.org/10.5194/hess-19-1993-2015, 2015
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Hydrological drought types in cold climates have complex causing factors and impacts. In Austria and Norway, a lack of snowmelt is mainly related to below-normal winter precipitation, and a lack of glaciermelt is mainly related to below-normal summer temperature. These and other hydrological drought types impacted hydropower production, water supply, and agriculture in Europe and the US in the recent and far past. For selected drought events in Norway impacts could be coupled to causing factors.
A. Fernald, S. Guldan, K. Boykin, A. Cibils, M. Gonzales, B. Hurd, S. Lopez, C. Ochoa, M. Ortiz, J. Rivera, S. Rodriguez, and C. Steele
Hydrol. Earth Syst. Sci., 19, 293–307, https://doi.org/10.5194/hess-19-293-2015, https://doi.org/10.5194/hess-19-293-2015, 2015
X. C. Cao, P. T. Wu, Y. B. Wang, and X. N. Zhao
Hydrol. Earth Syst. Sci., 18, 3165–3178, https://doi.org/10.5194/hess-18-3165-2014, https://doi.org/10.5194/hess-18-3165-2014, 2014
K. Madani, M. Zarezadeh, and S. Morid
Hydrol. Earth Syst. Sci., 18, 3055–3068, https://doi.org/10.5194/hess-18-3055-2014, https://doi.org/10.5194/hess-18-3055-2014, 2014
J. Chenoweth, M. Hadjikakou, and C. Zoumides
Hydrol. Earth Syst. Sci., 18, 2325–2342, https://doi.org/10.5194/hess-18-2325-2014, https://doi.org/10.5194/hess-18-2325-2014, 2014
S. Pande and M. Ertsen
Hydrol. Earth Syst. Sci., 18, 1745–1760, https://doi.org/10.5194/hess-18-1745-2014, https://doi.org/10.5194/hess-18-1745-2014, 2014
P. Gober and H. S. Wheater
Hydrol. Earth Syst. Sci., 18, 1413–1422, https://doi.org/10.5194/hess-18-1413-2014, https://doi.org/10.5194/hess-18-1413-2014, 2014
H. Chang, P. Thiers, N. R. Netusil, J. A. Yeakley, G. Rollwagen-Bollens, S. M. Bollens, and S. Singh
Hydrol. Earth Syst. Sci., 18, 1383–1395, https://doi.org/10.5194/hess-18-1383-2014, https://doi.org/10.5194/hess-18-1383-2014, 2014
M. W. Ertsen, J. T. Murphy, L. E. Purdue, and T. Zhu
Hydrol. Earth Syst. Sci., 18, 1369–1382, https://doi.org/10.5194/hess-18-1369-2014, https://doi.org/10.5194/hess-18-1369-2014, 2014
Y. Liu, F. Tian, H. Hu, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 1289–1303, https://doi.org/10.5194/hess-18-1289-2014, https://doi.org/10.5194/hess-18-1289-2014, 2014
S. N. Lane
Hydrol. Earth Syst. Sci., 18, 927–952, https://doi.org/10.5194/hess-18-927-2014, https://doi.org/10.5194/hess-18-927-2014, 2014
H. H. G. Savenije, A. Y. Hoekstra, and P. van der Zaag
Hydrol. Earth Syst. Sci., 18, 319–332, https://doi.org/10.5194/hess-18-319-2014, https://doi.org/10.5194/hess-18-319-2014, 2014
A. Wutich, A. C. White, D. D. White, K. L. Larson, A. Brewis, and C. Roberts
Hydrol. Earth Syst. Sci., 18, 109–120, https://doi.org/10.5194/hess-18-109-2014, https://doi.org/10.5194/hess-18-109-2014, 2014
J. L. Jr. Wescoat
Hydrol. Earth Syst. Sci., 17, 4759–4768, https://doi.org/10.5194/hess-17-4759-2013, https://doi.org/10.5194/hess-17-4759-2013, 2013
T. H. Bakken, Å. Killingtveit, K. Engeland, K. Alfredsen, and A. Harby
Hydrol. Earth Syst. Sci., 17, 3983–4000, https://doi.org/10.5194/hess-17-3983-2013, https://doi.org/10.5194/hess-17-3983-2013, 2013
P. Karimi, W. G. M. Bastiaanssen, and D. Molden
Hydrol. Earth Syst. Sci., 17, 2459–2472, https://doi.org/10.5194/hess-17-2459-2013, https://doi.org/10.5194/hess-17-2459-2013, 2013
D. J. Barrington, A. Ghadouani, and G. N. Ivey
Hydrol. Earth Syst. Sci., 17, 2097–2105, https://doi.org/10.5194/hess-17-2097-2013, https://doi.org/10.5194/hess-17-2097-2013, 2013
L. Jonker, P. van der Zaag, B. Gumbo, J. Rockström, D. Love, and H. H. G. Savenije
Hydrol. Earth Syst. Sci., 16, 4225–4232, https://doi.org/10.5194/hess-16-4225-2012, https://doi.org/10.5194/hess-16-4225-2012, 2012
E. G. King, F. C. O'Donnell, and K. K. Caylor
Hydrol. Earth Syst. Sci., 16, 4023–4031, https://doi.org/10.5194/hess-16-4023-2012, https://doi.org/10.5194/hess-16-4023-2012, 2012
I. Popescu, A. Jonoski, and B. Bhattacharya
Hydrol. Earth Syst. Sci., 16, 3935–3944, https://doi.org/10.5194/hess-16-3935-2012, https://doi.org/10.5194/hess-16-3935-2012, 2012
W. Douven, M. L. Mul, B. Fernández-Álvarez, S. Lam Hung, N. Bakker, G. Radosevich, and P. van der Zaag
Hydrol. Earth Syst. Sci., 16, 3183–3197, https://doi.org/10.5194/hess-16-3183-2012, https://doi.org/10.5194/hess-16-3183-2012, 2012
D. H. Yan, G. Wang, H. Wang, and T. L. Qin
Hydrol. Earth Syst. Sci., 16, 2469–2483, https://doi.org/10.5194/hess-16-2469-2012, https://doi.org/10.5194/hess-16-2469-2012, 2012
J. Seibert and M. J. P. Vis
Hydrol. Earth Syst. Sci., 16, 2523–2530, https://doi.org/10.5194/hess-16-2523-2012, https://doi.org/10.5194/hess-16-2523-2012, 2012
J. M. Kaspersma, G. J. Alaerts, and J. H. Slinger
Hydrol. Earth Syst. Sci., 16, 2379–2392, https://doi.org/10.5194/hess-16-2379-2012, https://doi.org/10.5194/hess-16-2379-2012, 2012
J. M. Delgado, B. Merz, and H. Apel
Hydrol. Earth Syst. Sci., 16, 1533–1541, https://doi.org/10.5194/hess-16-1533-2012, https://doi.org/10.5194/hess-16-1533-2012, 2012
D. G. Kingston, W. J. Eastwood, P. I. Jones, R. Johnson, S. Marshall, and D. M. Hannah
Hydrol. Earth Syst. Sci., 16, 1281–1286, https://doi.org/10.5194/hess-16-1281-2012, https://doi.org/10.5194/hess-16-1281-2012, 2012
A. N. Laghari, D. Vanham, and W. Rauch
Hydrol. Earth Syst. Sci., 16, 1063–1083, https://doi.org/10.5194/hess-16-1063-2012, https://doi.org/10.5194/hess-16-1063-2012, 2012
A. F. Hamlet
Hydrol. Earth Syst. Sci., 15, 1427–1443, https://doi.org/10.5194/hess-15-1427-2011, https://doi.org/10.5194/hess-15-1427-2011, 2011
D. Viviroli, D. R. Archer, W. Buytaert, H. J. Fowler, G. B. Greenwood, A. F. Hamlet, Y. Huang, G. Koboltschnig, M. I. Litaor, J. I. López-Moreno, S. Lorentz, B. Schädler, H. Schreier, K. Schwaiger, M. Vuille, and R. Woods
Hydrol. Earth Syst. Sci., 15, 471–504, https://doi.org/10.5194/hess-15-471-2011, https://doi.org/10.5194/hess-15-471-2011, 2011
D. R. Archer, N. Forsythe, H. J. Fowler, and S. M. Shah
Hydrol. Earth Syst. Sci., 14, 1669–1680, https://doi.org/10.5194/hess-14-1669-2010, https://doi.org/10.5194/hess-14-1669-2010, 2010
Cited articles
Abe, S. and Suzuki, N.: Small-world structure of earthquake network, Physica A, 337, 357–362, https://doi.org/10.1016/j.physa.2004.01.059, 2004.
Amaral, L. A. N., Scala, A., Barthélémy, M., and Stanley, H. E.: Classes of small-world networks, P. Natl. Acad. Sci. USA, 97, 11149–11152, https://doi.org/10.1073/pnas.200327197, 2000.
Archfield, S. A. and Kiang, J. E.: Response of the United States streamgauge network to high- and low-flow periods, abstract H41M-08 presented at the American Geophysical Union Fall Meeting, San Francisco, California, USA, available at: http://abstractsearch.agu.org/meetings/2011/FM/sections/H/sessions/H41M/abstracts/H41M-08.html, last access: 12 December 2014, 2011.
Barabási, A.-L. and Albert, R.: Emergence of scaling in random networks, Science, 286, 509–512, https://doi.org/10.1126/science.286.5439.509, 1999.
Bras, R. L. and Rodríguez-Iturbe, I.: Rainfall network design for runoff prediction, Water Resour. Res., 12, 1197–1208, https://doi.org/10.1029/WR012i006p01197, 1976.
Burn, D. H. and Goulter, I. C.: An approach to the rationalization of streamflow data collection networks, J. Hydrol., 122, 71–91, https://doi.org/10.1016/0022-1694(91)90173-F, 1991.
Caselton, W. F. and Husain, T.: Hydrologic networks: information transmission, J. Water Res. Pl.-ASCE, 106, 503–520, 1980.
Csardi, G. and Nepusz, T.: The igraph software package for complex network research, InterJournal, Complex Systems, 1695, available at: http://igraph.org, last access: 12 December 2014, 2006.
da Fontoura Costa, L., Rodrigues, F. A., Travieso, G., and Boas, P. R. V.: Characterization of complex networks: a survey of measurements, Adv. Phys., 56, 167–242, https://doi.org/10.1080/00018730601170527, 2007.
da Fontoura Costa, L., Oliveira, O., Travieso, G., Rodrigues, F., Boas, P. V., Antiqueira, L., Viana, M., and Rocha, L. C.: Analyzing and modeling real-world phenomena with complex networks: a survey of applications, Adv. Phys., 60, 329–412, https://doi.org/10.1080/00018732.2011.572452, 2011.
Danon, L., Díaz-Guilera, A., Duch, J., and Arenas, A.: Comparing community structure identification, J. Stat. Mech.-Theory E., 2005, P09008, https://doi.org/10.1088/1742-5468/2005/09/P09008, 2005.
Donges, J. F., Zou, Y., Marwan, N., and Kurths, J.: Complex networks in climate dynamics, Eur. Phys. J.-Spec. Top., 174, 157–179, https://doi.org/10.1140/epjst/e2009-01098-2, 2009.
Eaton, B. and Moore, R. D.: Regional hydrology, in: Compendium of Forest Hydrology and Geomorphology in British Columbia, edited by: Pike, R. G., Redding, T. E., Moore, R. D., Winkler, R. D., and Bladon, K. D., vol. 1 of Land Management Handbook 66, Chap. 4, B. C. Ministry of Forests, 85–110, available at: www.for.gov.bc.ca/hfd/pubs/Docs/Lmh/Lmh66.htm, last access: 12 December 2014, 2010.
Elsner, J. B., Jagger, T. H., and Fogarty, E. A.: Visibility network of United States hurricanes, Geophys. Res. Lett., 36, L16702, https://doi.org/10.1029/2009GL039129, 2009.
Flatman, G. T. and Yfantis, A. A.: Geostatistical strategy for soil sampling: the survey and the census, Environ. Monit. Assess., 4, 335–349, https://doi.org/10.1007/BF00394172, 1984.
Fleming, S. W.: An information theoretic perspective on mesoscale seasonal variations in ground-level ozone, Atmos. Environ., 41, 5746–5755, https://doi.org/10.1016/j.atmosenv.2007.02.027, 2007.
Fleming, S. W. and Clarke, G. K.: Glacial control of water resource and related environmental responses to climatic warming: empirical analysis using historical streamflow data from northwestern Canada, Can. Water Resour. J., 28, 69–86, https://doi.org/10.4296/cwrj2801069, 2003.
Fleming, S. W. and Whitfield, P. H.: Spatiotemporal mapping of ENSO and PDO surface meteorological signals in British Columbia, Yukon, and southeast Alaska, Atmos. Ocean, 48, 122–131, https://doi.org/10.3137/AO1107.2010, 2010.
Fleming, S. W., Moore, R. D., and Clarke, G. K. C.: Glacier-mediated streamflow teleconnections to the Arctic Oscillation, Int. J. Climatol., 26, 619–636, https://doi.org/10.1002/joc.1273, 2006.
Fleming, S. W., Whitfield, P. H., Moore, R. D., and Quilty, E. J.: Regime-dependent streamflow sensitivities to Pacific climate modes cross the Georgia–Puget transboundary ecoregion, Hydrol. Process., 21, 3264–3287, https://doi.org/10.1002/hyp.6544, 2007.
Fogarty, E. A., Elsner, J. B., Jagger, T. H., and Tsonis, A. A.: Network analysis of US hurricanes, in: Hurricanes and Climate Change, edited by: Elsner, J. B. and Jagger, T. H., Springer US, New York, USA, 153–167, https://doi.org/10.1007/978-0-387-09410-6_9, 2009.
Fortunato, S.: Community detection in graphs, Phys. Rep., 486, 75–174, https://doi.org/10.1016/j.physrep.2009.11.002, 2010.
Girvan, M. and Newman, M.: Community structure in social and biological networks, P. Natl. Acad. Sci. USA, 99, 7821–7826, https://doi.org/10.1073/pnas.122653799, 2002.
Hannaford, J., Holmes, M., Laizé, C., Marsh, T., and Young, A.: Evaluating hydrometric networks for prediction in ungauged basins: a new methodology and its application to England and Wales, Hydrol. Res., 44, 401–418, https://doi.org/10.2166/nh.2012.115, 2013.
Kamada, T. and Kawai, S.: An algorithm for drawing general undirected graphs, Inform. Process. Lett., 31, 7–15, https://doi.org/10.1016/0020-0190(89)90102-6, 1989.
Martin, E. A., Paczuski, M., and Davidsen, J.: Interpretation of link fluctuations in climate networks during El Niño periods, EPL, 102, 48003, https://doi.org/10.1209/0295-5075/102/48003, 2013.
Mishra, A. and Coulibaly, P.: Hydrometric network evaluation for Canadian watersheds, J. Hydrol., 380, 420–437, https://doi.org/10.1016/j.jhydrol.2009.11.015, 2010.
Mishra, A. K. and Coulibaly, P.: Developments in hydrometric network design: A review, Rev. Geophys., 47, 1–24, https://doi.org/10.1029/2007RG000243, 2009.
Mishra, A. K. and Coulibaly, P.: Variability in Canadian Seasonal Streamflow Information and Its Implication for Hydrometric Network Design, J. Hydrol. Eng., 19, 05014003, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000971, 2014.
Morrison, J., Foreman, M. G. G., and Masson, D.: A method for estimating monthly freshwater discharge affecting British Columbia coastal waters, Atmos. Ocean, 50, 1–8, https://doi.org/10.1080/07055900.2011.637667, 2012.
Neuman, S. P., Xue, L., Ye, M., and Lu, D.: Bayesian analysis of data-worth considering model and parameter uncertainties, Adv. Water Resour., 36, 75–85, https://doi.org/10.1016/j.advwatres.2011.02.007, 2012.
Newman, M.: The physics of networks, Phys. Today, 61, 33–38, https://doi.org/10.1063/1.3027989, 2008.
Newman, M. E. J. and Girvan, M.: Finding and evaluating community structure in networks, Phys. Rev. E, 69, 026113, https://doi.org/10.1103/PhysRevE.69.026113, 2004.
Norberg, T. and Rosén, L.: Calculating the optimal number of contaminant samples by means of data worth analysis, Environmetrics, 17, 705–719, https://doi.org/10.1002/env.787, 2006.
Phillips, J. D., Schwanghart, W., and Heckmann, T.: Graph theory in the geosciences, Earth-Sci. Rev., 143, 147–160, https://doi.org/10.1016/j.earscirev.2015.02.002, 2015.
Pires, J., Sousa, S., Pereira, M., Alvim-Ferraz, M., and Martins, F.: Management of air quality monitoring using principal component and cluster analysis – Part I: SO2 and PM10, Atmos. Environ., 42, 1249–1260, https://doi.org/10.1016/j.atmosenv.2007.10.044, 2008.
Putthividhya, A. and Tanaka, K.: Optimal rain gauge network design and spatial precipitation mapping based on geostatistical analysis from colocated elevation and humidity data, Int. J. Environ. Sci. Develop., 3, 124–129, https://doi.org/10.7763/IJESD.2012.V3.201, 2012.
R Core Team: R: a Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, available at: http://www.R-project.org/, last access: 12 December 2014.
Rinaldo, A., Banavar, J. R., and Maritan, A.: Trees, networks, and hydrology, Water Resour. Res., 42, W06D07, https://doi.org/10.1029/2005WR004108, 2006.
Schnorbus, M., Werner, A., and Bennett, K.: Impacts of climate change in three hydrologic regimes in British Columbia, Canada, Hydrol. Process., 28, 1170–1189, https://doi.org/10.1002/hyp.9661, 2014.
Sen, P. and Chakrabarti, B. K.: Sociophysics: An Introduction, Oxford University Press, Oxford, 2013.
Sivakumar, B.: Networks: a generic theory for hydrology?, Stoch. Env. Res. Risk A., 29, 761–771, 2015.
Sivakumar, B. and Woldemeskel, F. M.: Complex networks for streamflow dynamics, Hydrol. Earth Syst. Sci., 18, 4565–4578, https://doi.org/10.5194/hess-18-4565-2014, 2014.
Sivakumar, B., Singh, V. P., Berndtsson, R., and Khan, S. K.: Catchment Classification Framework in Hydrology: Challenges and Directions, J. Hydrol. Eng., 20, Special Issue: Grand Challenges in Hydrology, A4014002, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000837, 2015.
Spence, C. and Phillips, R. W.: Refining understanding of hydrological connectivity in a boreal catchment, Hydrol. Process., https://doi.org/10.1002/hyp.10270, online first, 2014.
Stahl, K. and Moore, R. D.: Influence of watershed glacier coverage on summer streamflow in British Columbia, Canada, Water Resour. Res., 42, W06201, https://doi.org/10.1029/2006WR005022, 2006.
Strogatz, S. H.: Exploring complex networks, Nature, 410, 268–276, https://doi.org/10.1038/35065725, 2001.
Suweis, S., Konar, M., Dalin, C., Hanasaki, N., Rinaldo, A., and Rodriguez-Iturbe, I.: Structure and controls of the global virtual water trade network, Geophys. Res. Lett., 38, L10403, https://doi.org/10.1029/2011GL046837, 2011.
Tsonis, A. A. and Roebber, P.: The architecture of the climate network, Physica A, 333, 497–504, https://doi.org/10.1016/j.physa.2003.10.045, 2004.
Tsonis, A. A. and Swanson, K. L.: Topology and Predictability of El Niño and La Niña Networks, Phys. Rev. Lett., 100, 228502, https://doi.org/10.1103/PhysRevLett.100.228502, 2008.
Tsonis, A. A., Swanson, K. L., and Roebber, P. J.: What do networks have to do with climate?, B. Am. Meteorol. Soc., 87, 585–595, https://doi.org/10.1175/BAMS-87-5-585, 2006.
Tsonis, A. A., Wang, G., Swanson, K. L., Rodrigues, F. A., and da Fontura Costa, L.: Community structure and dynamics in climate networks, Clim. Dynam., 37, 933–940, https://doi.org/10.1007/s00382-010-0874-3, 2011.
Watts, D. J. and Strogatz, S. H.: Collective dynamics of "small-world" networks, Nature, 393, 440–442, 1998.
Whitfield, P. H. and Spence, C.: Estimates of Canadian Pacific Coast runoff from observed streamflow data, J. Hydrol., 410, 141–149, https://doi.org/10.1016/j.jhydrol.2011.05.057, 2011.
Whitfield, P. H., Cannon, A. J., and Reynolds, C. J.: Modelling streamflow in present and future climates: examples from the Georgia Basin, British Columbia, Can. Water Resour. J., 27, 427–456, https://doi.org/10.4296/cwrj2704427, 2002.
Whitfield, P. H., Moore, R. D., Fleming, S. W., and Zawadzki, A.: Pacific decadal oscillation and the hydroclimatology of western Canada – review and prospects, Can. Water Resour. J., 35, 1–28, https://doi.org/10.4296/cwrj3501001, 2010.
Yamasaki, K., Gozolchiani, A., and Havlin, S.: Climate Networks around the Globe are Significantly Affected by El Niño, Phys. Rev. Lett., 100, 228501, https://doi.org/10.1103/PhysRevLett.100.228501, 2008.
Yang, Y. and Burn, D. H.: An entropy approach to data collection network design, J. Hydrol., 157, 307–324, https://doi.org/10.1016/0022-1694(94)90111-2, 1994.
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