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Berda, Y. . Jerusalem and Tel Aviv: The Van Leer Institute and Hakibbutz Hameuchad.[in Hebrew] 2012.
Berda, Y. . Unpublished manuscript 2012.
Berda, Y. . Available at SSRN 2297278 2013.
Berda, Y. . בתוך Sociological forum; 2013; Vol. 28, 'עמ 627–630.
Berda, Y. . Hamishpat online Journal: Human Rights 2015, 115–127.
Berda, Y. . בתוך Misselwitz, Charlotte, and Cornelia Siebeck, eds. Dissonant Memories-Fragmented Present: Exchanging Young Discourses Between Israel and Germany.; transcript Verlag, 2015.
Berda, Y. . Jerusalem Review of Legal Studies 2016, 14, 182–191.
Berda, Y. . Security dialogue 2020, 51, 557–578.
Benito, G. ; Rohde, R. ; Seely, M. ; K??lls, C. ; Dahan, O. ; Enzel, Y. ; Todd, S. ; Botero, B. ; Morin, E. ; Grodek, T. ; Roberts, C. .
Water Resources Management 2010,
24.
Publisher's VersionתקצירThis paper summarises innovative research into the assessment of long-term groundwater recharge from flood events in dryland environments of the Kuiseb (Namibia) and the Buffels (South Africa) rivers. The integrated water resource management (IWRM) policies and institutions affecting the exploitation of groundwater resources in each of these developing countries are compared. The relatively large alluvial aquifer of the Kuiseb River (similar to 240 Mm(3)) is recharged from irregular floods originating in the upper catchment. Reported abstraction of 4.6 Mm(3) per year is primarily consumed in the town of Walvis Bay, although the groundwater decay (pumping and natural losses along the period 1983-2005) was estimated in 14.8 Mm(3) per year. Recharge is variable, occurring in 11 out of 13 years in the middle Kuiseb River, but only in 11 out of 28 years in the middle-lower reaches. In contrast, the Buffels River has relatively minor alluvial aquifers (similar to 11 Mm(3)) and recharge sources derive from both lateral subsurface flow and floodwater infiltration, the latter limited to a recharge maximum of 1.3 Mm(3) during floods occurring once every four years. Current abstractions to supply the adjacent rural population and a few small-scale, irrigated commercial farms are 0.15 Mm(3) yr (-aEuro parts per thousand 1), well within the long-term sustainable yield estimated to be 0.7 Mm(3) yr (-aEuro parts per thousand 1). Since independence in 1990, Namibia‘s water resource management approach has focussed on ephemeral river basin management of which the Kuiseb Basin Management Committee (KBMC) is a model. Here, some water points are managed independently by rural communities through committees while the national bulk water supplier provides for Walvis Bay Municipality from the lower aquifers. This provides a sense of local ownership through local participation between government, NGOs and CBOs (community-based organisations) in the planning and implementation of IWRM. Despite the potential for water resource development in the lower Buffels River, the scope for implementing IWRM is limited not only by the small aquifer size, but also because basin management in South Africa is considered only in the context of perennial rivers. Since 2001, water service delivery in the Buffels River catchment has become the responsibility of two newly created local municipalities. As municipal government gains experience, skills and capacity, its ability to respond to local needs related to water service delivery will be accomplished through local participation in the design and implementation of annual ‘integrated development plans‘. These two case studies demonstrate that a variety of IWRM strategies in the drylands of developing countries are appropriate depending on scales of governance, evolving policy frameworks, scales of need and limitations inherent in the hydrological processes of groundwater resources.
Ben-Shach, G. ; Haim, A. ; Appelbaum, I. ; Oreg, Y. ; Yacoby, A. ; Halperin, B. I. .
Phys. Rev. B 2015,
91, 045403.
Publisher's Version Ben Dor, Y. ; Armon, M. ; Ahlborn, M. ; Morin, E. ; Erel, Y. ; Brauer, A. ; Schwab, M. J. ; Tjallingii, R. ; Enzel, Y. .
Scientific Reports 2018,
8.
Publisher's VersionתקצירFloods comprise a dominant hydroclimatic phenomenon in aridlands with significant implications for humans, infrastructure, and landscape evolution worldwide. The study of short-term hydroclimatic variability, such as floods, and its forecasting for episodes of changing climate therefore poses a dominant challenge for the scientific community, and predominantly relies on modeling. Testing the capabilities of climate models to properly describe past and forecast future short-term hydroclimatic phenomena such as floods requires verification against suitable geological archives. However, determining flood frequency during changing climate is rarely achieved, because modern and paleoflood records, especially in arid regions, are often too short or discontinuous. Thus, coeval independent climate reconstructions and paleoflood records are required to further understand the impact of climate change on flood generation. Dead Sea lake levels reflect the mean centennial-millennial hydrological budget in the eastern Mediterranean. In contrast, floods in the large watersheds draining directly into the Dead Sea, are linked to short-term synoptic circulation patterns reflecting hydroclimatic variability. These two very different records are combined in this study to resolve flood frequency during opposing mean climates. Two 700-year-long, seasonally-resolved flood time series constructed from late Pleistocene Dead Sea varved sediments, coeval with significant Dead Sea lake level variations are reported. These series demonstrate that episodes of rising lake levels are characterized by higher frequency of floods, shorter intervals between years of multiple floods, and asignificantly larger number of years that experienced multiple floods. In addition, floods cluster into intervals of intense flooding, characterized by 75% and 20% increased frequency above their respective background frequencies during rising and falling lake-levels, respectively. Mean centennial precipitation in the eastern Mediterranean is therefore coupled with drastic changes in flood frequencies. These drastic changes in flood frequencies are linked to changes in the track, depth, and frequency of mid-latitude eastern Mediterranean cyclones, determining mean climatology resulting in wetter and drier regional climatic episodes.
Ben Dor, Y. ; Marra, F. ; Armon, M. ; Enzel, Y. ; Morin, E. . Climate of The Past Discussions 2021.
Belachsen, I. ; Marra, F. ; Peleg, N. ; Morin, E. .
Geophysical Research Abstracts EGU General Assembly 2017.
Publisher's VersionתקצירSpace-time patterns of rainfall are important climatic characteristics that influence runoff generation and flash flood magnitude. Their derivation requires high-resolution measurements to adequately represent the rainfall distribution, and is best provided by remote sensing tools. This need is further emphasized in dry climate regions, where rainfall is scarce and, often, local and highly variable. Our research is focused on understanding the nature of rainfall events in the dry Dead Sea region (Eastern Mediterranean) by identifying and characterizing the spatial structure and the dynamics of convective storm cores (known as rain cells). To do so, we take advantage of 25 years of corrected and gauge-adjusted weather radar data. A statistical analysis of convective rain-cells spatial and temporal characteristics was performed with respect to synoptic pattern, geographical location, and flash flood generation. Rain cells were extracted from radar data using a cell segmentation method and a tracking algorithm and were divided into rain events. A total of 10,500 rain cells, 2650 cell tracks and 424 rain events were elicited. Rain cell properties, such as mean areal and maximal rain intensity, area, life span, direction and speed, were derived. Rain events were clustered, according to several ERA-Interim atmospheric parameters, and associated with three main synoptic patterns: Cyprus Low, Low to the East of the study region and Active Red Sea Trough. The first two originate from the Mediterranean Sea, while the third is an extension of the African monsoon. On average, the convective rain cells in the region are 90 km 2 in size, moving from West to East in 13 ms -1 and living 18 minutes. Several significant differences between rain cells of the various synoptic types were observed. In particular, Active Red Sea Trough rain cells are characterized by higher rain intensities and lower speeds, suggesting a higher flooding potential for small catchments. The north-south negative gradient of mean annual rainfall in the study region was found to be negatively correlated with rain cells intensity and positively correlated with rain cells area. Additional analysis was done for convective rain cells over two nearby catchments located in the central part of the study region, by ascribing some of the rain events to observed flash-flood events. It was found that rain events associated with flash-floods have higher maximal rain cell intensity and lower minimal cell speed than rain events that did not lead to a flash-flood in the watersheds. This information contributes to our understanding of rain patterns over the dry area of the Dead Sea and their connection to flash-floods. The statistical distributions of rain cells properties can be used for high space-time resolution stochastic simulations of rain storms that can serve as an input to hydrological models.
Barack, L. ; Cardoso, V. ; Nissanke, S. ; Sotiriou, T. P. ; Askar, A. ; Belczynski, C. ; Bertone, G. ; Bon, E. ; Blas, D. ; Brito, R. ; Bulik, T. ; Burrage, C. ; Byrnes, C. T. ; Caprini, C. ; Chernyakova, M. ; Chruściel, P. ; Colpi, M. ; Ferrari, V. ; Gaggero, D. ; Gair, J. ; García-Bellido, J. ; Hassan, S. F. ; Heisenberg, L. ; Hendry, M. ; Heng, I. Siong; Herdeiro, C. ; Hinderer, T. ; Horesh, A. ; Kavanagh, B. J. ; Kocsis, B. ; Kramer, M. ; Le Tiec, A. ; Mingarelli, C. ; Nardini, G. ; Nelemans, G. ; Palenzuela, C. ; Pani, P. ; Perego, A. ; Porter, E. K. ; Rossi, E. M. ; Schmidt, P. ; Sesana, A. ; Sperhake, U. ; Stamerra, A. ; Stein, L. C. ; Tamanini, N. ; Tauris, T. M. ; L. Urena-López, A. ; Vincent, F. ; Volonteri, M. ; Wardell, B. ; Wex, N. ; Yagi, K. ; Abdelsalhin, T. ; Aloy, M. Ángel; Amaro-Seoane, P. ; Annulli, L. ; Arca-Sedda, M. ; Bah, I. ; Barausse, E. ; Barakovic, E. ; Benkel, R. ; Bennett, C. L. ; Bernard, L. ; Bernuzzi, S. ; Berry, C. P. L. ; Berti, E. ; Bezares, M. ; Blanco-Pillado, J. Juan; Blázquez-Salcedo, J. Luis; Bonetti, M. ; Bošković, M. ; Bosnjak, Z. ; Bricman, K. ; Brügmann, B. ; Capelo, P. R. ; Carloni, S. ; Cerdá-Durán, P. ; Charmousis, C. ; Chaty, S. ; Clerici, A. ; Coates, A. ; Colleoni, M. ; Collodel, L. G. ; Compère, G. ; Cook, W. ; Cordero-Carrión, I. ; Correia, M. ; de la Cruz-Dombriz, Á. ; Czinner, V. G. ; Destounis, K. ; Dialektopoulos, K. ; Doneva, D. ; Dotti, M. ; Drew, A. ; Eckner, C. ; Edholm, J. ; Emparan, R. ; Erdem, R. ; Ferreira, M. ; Ferreira, P. G. ; Finch, A. ; Font, J. A. ; Franchini, N. ; Fransen, K. ; Gal'tsov, D. ; Ganguly, A. ; Gerosa, D. ; Glampedakis, K. ; Gomboc, A. ; Goobar, A. ; Gualtieri, L. ; Guendelman, E. ; Haardt, F. ; Harmark, T. ; Hejda, F. ; Hertog, T. ; Hopper, S. ; Husa, S. ; Ihanec, N. ; Ikeda, T. ; Jaodand, A. ; Jetzer, P. ; Jimenez-Forteza, X. ; Kamionkowski, M. ; Kaplan, D. E. ; Kazantzidis, S. ; Kimura, M. ; Kobayashi, S. ; Kokkotas, K. ; Krolik, J. ; Kunz, J. ; Lämmerzahl, C. ; Lasky, P. ; Lemos, J. P. S. ; Said, J. Levi; Liberati, S. ; Lopes, J. ; Luna, R. ; Ma, Y. - Z. ; Maggio, E. ; Mangiagli, A. ; Montero, M. Martinez; Maselli, A. ; Mayer, L. ; Mazumdar, A. ; Messenger, C. ; Ménard, B. ; Minamitsuji, M. ; Moore, C. J. ; Mota, D. ; Nampalliwar, S. ; Nerozzi, A. ; Nichols, D. ; Nissimov, E. ; Obergaulinger, M. ; Obers, N. A. ; Oliveri, R. ; Pappas, G. ; Pasic, V. ; Peiris, H. ; Petrushevska, T. ; Pollney, D. ; Pratten, G. ; Rakic, N. ; Racz, I. ; Radia, M. ; Ramazanoğlu, F. M. ; Ramos-Buades, A. ; Raposo, G. ; Rogatko, M. ; Rosca-Mead, R. ; Rosinska, D. ; Rosswog, S. ; Ruiz-Morales, E. ; Sakellariadou, M. ; Sanchis-Gual, N. ; Salafia, O. Sharan; Samajdar, A. ; Sintes, A. ; Smole, M. ; Sopuerta, C. ; Souza-Lima, R. ; Stalevski, M. ; Stergioulas, N. ; Stevens, C. ; Tamfal, T. ; Torres-Forné, A. ; Tsygankov, S. ; Ünlütürk, K. İ. ; Valiante, R. ; van de Meent, M. ; Velhinho, J. ; Verbin, Y. ; Vercnocke, B. ; Vernieri, D. ; Vicente, R. ; Vitagliano, V. ; Weltman, A. ; Whiting, B. ; Williamson, A. ; Witek, H. ; Wojnar, A. ; Yakut, K. ; Yan, H. ; Yazadjiev, S. ; Zaharijas, G. ; Zilhão, M. . Classical and Quantum Gravity 2019, 36, 143001.
Baldi, R. D. ; Laor, A. ; Behar, E. ; Horesh, A. ; Panessa, F. ; McHardy, I. ; Kimball, A. . \mnras 2022, 510, 1043-1058.
Bahat, Y. ; Grodek, T. ; Lekach, J. ; Morin, E. .
Journal of Hydrology 2009,
373.
Publisher's VersionתקצירQuantitatively estimating rainfall-runoff relations in extremely arid regions is a challenging task, mainly because of lack of in situ data. For the past 40 years, rain and floods have been monitored in the Nahal Yael catchment (0.5 km2) in southern Israel, providing a unique data set of runoff hydrographs and rainfall in a hyper-arid region. Here we present an exploratory study focusing on rainfall-runoff modeling issues for a small (0.05 km2) sub-catchment of Nahal Yael. The event-based model includes the computation of rainfall excess, hillslope and channel routing. Two model parameters of the infiltration process were found by calibration. A resampling methodology of calibration group composition is suggested to derive optimal model parameters and their uncertainty range. Log-based objective functions were found to be more robust and less sensitive than non-log functions to calibration group composition. The fit achieved between observed and computed runoff hydrographs for the calibration and validation events is considered good relative to other modeling studies in arid and semi-arid regions. The study indicates that, under the calibration scheme used, a lumped model performs better than a model representing the catchment division into three sub-catchments. In addition, the use of rain data from several gauges improves runoff prediction as compared to input from a single gauge. It was found that rainfall uncertainty dominates uncertainties in runoff prediction while parameter uncertainties have only a minor effect. ?? 2009 Elsevier B.V. All rights reserved.