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Статті в журналах з теми "Water resources and environmental modelling"
McCuen, Richard H. "Time series modelling of water resources and environmental systems." Journal of Hydrology 167, no. 1-4 (May 1995): 399–400. http://dx.doi.org/10.1016/0022-1694(95)90010-1.
Повний текст джерелаArgent, Robert M. "Information modelling in water resources: an Australian perspective." Stochastic Environmental Research and Risk Assessment 28, no. 1 (June 15, 2013): 137–45. http://dx.doi.org/10.1007/s00477-013-0754-6.
Повний текст джерелаKübeck, Ch, W. van Berk, and A. Bergmann. "Modelling raw water quality: development of a drinking water management tool." Water Science and Technology 59, no. 1 (January 1, 2009): 117–24. http://dx.doi.org/10.2166/wst.2009.766.
Повний текст джерелаHaines, Sophie. "Reckoning Resources." Science & Technology Studies 32, no. 4 (December 13, 2019): 97–118. http://dx.doi.org/10.23987/sts.64650.
Повний текст джерелаKoch, H., S. Liersch, and F. F. Hattermann. "Integrating water resources management in eco-hydrological modelling." Water Science and Technology 67, no. 7 (April 1, 2013): 1525–33. http://dx.doi.org/10.2166/wst.2013.022.
Повний текст джерелаZiemińska-Stolarska, Aleksandra, and Jerzy Skrzypski. "Review of Mathematical Models of Water Quality." Ecological Chemistry and Engineering S 19, no. 2 (January 1, 2012): 197–211. http://dx.doi.org/10.2478/v10216-011-0015-x.
Повний текст джерелаMaier, Holger R. "Application of natural computing (computational intelligence) methods to water resources and environmental modelling." Mathematical and Computer Modelling 44, no. 5-6 (September 2006): 413–14. http://dx.doi.org/10.1016/j.mcm.2006.01.001.
Повний текст джерелаDunn, S. M., N. Chalmers, M. Stalham, A. Lilly, B. Crabtree, and L. Johnston. "Modelling the influence of irrigation abstractions on Scotland’s water resources." Water Science and Technology 48, no. 10 (November 1, 2003): 127–34. http://dx.doi.org/10.2166/wst.2003.0556.
Повний текст джерелаRIPPON, P. W., and A. J. WYNESS. "Integrated Catchment Modelling as a Water Resources Management Tool." Water and Environment Journal 8, no. 6 (December 1994): 671–79. http://dx.doi.org/10.1111/j.1747-6593.1994.tb01164.x.
Повний текст джерелаWardlaw, R. B., M. Hulme, and A. Y. Stuck. "Modelling the Impacts of Climatic Change on Water Resources." Water and Environment Journal 10, no. 5 (October 1996): 355–64. http://dx.doi.org/10.1111/j.1747-6593.1996.tb00064.x.
Повний текст джерелаДисертації з теми "Water resources and environmental modelling"
Huang, Shaochun. "Modelling of environmental change impacts on water resources and hydrological extremes in Germany." Phd thesis, Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2012/5974/.
Повний текст джерелаWasserressourcen werden in Quantität und Qualität von Veränderungen in der Umwelt, insbesondere von Änderungen des Klimas und der Landnutzung, in signifikantem Maße beeinflusst. In dieser Arbeit wurden die Auswirkungen von Klimavariabilität und Klimawandel auf die Wasserressourcen und Extremereignisse wie Hoch- und Niedrigwasser in Deutschland untersucht. Die Analyse erfolgte auf der einen Seite modellgestützt, wobei die Ergebnisse aus verschiedenen regionalen Klimamodellen durch ein ökohydrologisches Modell in Änderungen in den hydrologischen Prozessen transformiert wurden, zum anderen aber auch datengestützt, z.B. durch die statistische Interpretation von beobachteten und simulierten Zeitreihen. Zusätzlich wurden die Auswirkungen von Landnutzungsänderungen auf Umsatz von Stickstoff in der Landschaft und im Wasser untersucht, wobei dasselbe ökohydrologische Modell zum Einsatz kam. Im Rahmen des Klimawandels wird zur Mitte dieses Jahrhunderts die aktuelle Evapotranspiration in den meisten Teilen Deutschlands mit großer Wahrscheinlichkeit zunehmen. Die täglichen Abflussmengen der fünf größten Flussgebiete in Deutschland (Ems, Weser, Elbe, Obere Donau und Rhein) werden dieser Untersuchung zur Folge im Sommer und Herbst um 8%-30% geringer sein als in der Referenzperiode (1961-1990). 80% der Szenariensimulationen stimmen darin überein, dass die 50-jährigen Niedrigwasserereignisse zum Ende dieses Jahrhunderts mit großer Wahrscheinlichkeit häufiger in den westlichen, den südlichen und den zentralen Teilen Deutschlands auftreten werden. Die gegenwärtige Niedrigwasserperiode (August-September) könnte sich zudem dann bis in den späten Herbst ausweiten. Für alle Flüsse werden höhere Winterabflüsse erwartet, wobei diese Zunahme für die Ems am stärksten ausfällt (ca. 18%). Mit größerer Unsicherheit sind dagegen die Aussagen zur Entwicklung der Hochwasser behaftet. Aus den Ergebnissen, die durch unterschiedliche regionale Klimamodelle und Szenarien getrieben wurden, kann jedoch kein allgemeingültiges Muster für die Änderungen der 50-jährigen Hochwässer ausgemacht werden. Eine optimierte Landnutzung und ein optimiertes Landmanagement sind für die Reduzierung der NO3-Einträge in die Oberflächengewässer essentiell. In den Einzusgebieten der Weißen Elster und der Unstrut (Elbe) kann eine Zunahme von 10% in der Anbaufläche von Winterraps zu einer 12-19% höheren NO3 Fracht führen. Mais, eine weitere Energiepflanze, hat hingegen einen mäßigeren Effekt auf die Oberflächengewässer. Die Höhe der Gabe von mineralischen Düngern beeinflußt zudem in starkem Maße die Nitratbelastung von Flüssen. Zwischenfrüchte können den NO3-Austrag im Sommer zusätzlich erheblich verringern. Insgesamt bleibt die Unsicherheit in der Vorhersage von Spitzenabflüssen und im Besonderen von Extrem-Hochwässern als Folge unterschiedlicher regionaler Klimamodelle, Emissionsszenarien und Realisationen sehr hoch. Im Gegensatz dazu erscheinen die Projektionen zu den Niedrigwasserereignissen unter wärmeren Bedingungen sehr viel deutlicher und einheitlicher. Die größte Unsicherheit in der Modellierung von NO3 dagegen sind die Eingangsdaten z.B. für das lokale landwirtschaftliche Management.
Moulds, Simon. "Toward integrated modelling systems to assess vulnerability of water resources under environmental change." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/45312.
Повний текст джерелаHuang, Shaochun [Verfasser], and Axel [Akademischer Betreuer] Bronstert. "Modelling of environmental change impacts on water resources and hydrological extremes in Germany / Shaochun Huang. Betreuer: Axel Bronstert." Potsdam : Universitätsbibliothek der Universität Potsdam, 2012. http://d-nb.info/1023607468/34.
Повний текст джерелаHassan, Muhammad. "Exploratory groundwater modelling in data-scarce environments : the shallow aquifer of river Yobe basin, north east Nigeria." Thesis, Cranfield University, 2002. http://dspace.lib.cranfield.ac.uk/handle/1826/11343.
Повний текст джерелаBarbour, Emily. "Quantitative modelling for assessing system trade-offs in environmental flow management." Phd thesis, Canberra, ACT : The Australian National University, 2015. http://hdl.handle.net/1885/109583.
Повний текст джерелаTshimanga, Raphael Muamba. "Hydrological uncertainty analysis and scenario-based streamflow modelling for the Congo River Basin." Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1006158.
Повний текст джерелаCrookes, Douglas John. "Modelling the ecological-economic impacts of restoring natural capital, with a special focus on water and agriculture, at eight sites in South Africa." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71628.
Повний текст джерелаENGLISH ABSTRACT: The restoration of natural capital has ecological, hydrological and economic benefits. Are these benefits greater than the costs of restoration when compared across a range of dissimilar sites? This study examines the impact of restoration at eight case study sites distributed throughout South Africa. The benefits of restoration include improved grazing values and crop yields, improvements in water yield and quality, soil carbon improvements, wild products, lumber, fuelwood and electricity. The impact of restoration on all forms of natural capital (i.e. cultivated, replenishable, renewable and non-renewable) is therefore quantified. The costs of restoration include depreciation on capital expenditure, labour costs, equipment and bond refinancing costs. The literature review done during this study presents three frameworks. The first framework classifies social science using the classification scheme of Burrell and Morgan. It shows that system dynamics modelling and neoclassical economics share the same epistemological and ontological characteristics, both of these fall within the naturalistic paradigm, which also characterises most of scientific research. System dynamics modelling and neoclassical economics, however, digress in the Flood and Jackson classification scheme, which is the second framework for classifying social science. Neoclassical economics is characterised by a small number of elements and few interactions between the elements. Systems dynamics modelling, on the other hand, is characterised by a large number of elements and many interactions between the elements. The nature-freedom ground motive is subject to a number of criticisms, including the fact that it introduces dualistic thinking into the analysis, as well as that it does not adequately address normative or moral issues. The framework of Dooyeweerd, the third framework, is presented as a means of transcending the nature-freedom ground motive. Although the nature-freedom ground motive is largely utilised in this study, the analysis does transcend the traditional economic approach in a number of areas. These include, for example, a focus on transdisciplinary methods, disequilibria, adopting a case study approach, and empirical estimation instead of theoretical models. The restoration case studies in this study are examples of individual complex systems. Eight system dynamics models are developed to model interactions between the economic, ecological and hydrological components of each of the case studies. The eight system dynamics models are then used to inform a risk analysis process that culminates in a portfolio mapping exercise. This portfolio mapping exercise is then used to identify the characteristics and features of the different case study sites based on the risk profile of each sites. This study is the first known application of system dynamics, risk analysis and portfolio mapping to an environmental restoration project. This framework could potentially be used by policymakers confronted with budgetary constraints to select and prioritise between competing restoration projects.
AFRIKAANSE OPSOMMING: Die restorasie van natuurlike kapitaal het ekologiese, hidrologiese en ekonomiese voordele. Maar is hierdie voordele groter as die kostes verbonde aan restorasie wanneer dit oor verskeie ongelyksoortige terreine vergelyk word? Hierdie studie bestudeer die impak van restorasie op agt verskillende studie terreine versprei regoor Suid-Afrika. Die voordele van restorasie sluit die volgende in: beter weiding waardes en oes opbrengste, verbeterde water lewering en water kwaliteit, verbetering van grondkoolstof, wilde produkte, hout, brandstofhout en elektrisiteit. Die impak van restorasie op alle vorme van natuurlike kapitaal (gekultiveerd, aanvulbaar, hernubaar en nie-hernubaar) is daarom gekwantifiseer. Die kostes van restorasie sluit in ‘n vermindering in kapitaal uitgawes, arbeidskoste, toerusting en verband herfinansieringskoste. Die literatuurstudie hou drie raamwerke voor. Die eerste raamwerk klassifiseer sosiale wetenskappe volgens die Burrel en Morgan klassifikasie skema. Dit wys daarop dat dinamiese stelsel modellering en neoklassieke ekonomie dieselfde epistemologiese en ontologiese eienskappe deel; beide val binne die naturalistiese paradigma, wat dan ook meeste wetenskaplike navorsing tipeer. Stelseldinamiese modellering en neoklassieke ekonomie wyk egter af na die Flood and Jackson klassifikasie skema, wat die tweede raamwerk is waarvolgens sosiale wetenskappe geklassifiseer word. Neoklassieke ekonomie word gekenmerk aan 'n klein aantal elemente en 'n beperkte hoeveelheid interaksie. Stelseldinamiese modellering het egter 'n groot aantal elemente met veel meer interaksies tussen hierdie elemente. Die natuur-vryheid grondmotief is onderworpe aan 'n aantal punte van kritiek, insluitende die feit dat dit dualistiese denke in analise inbring. Verder spreek dit ook nie voldoende die normatiewe of morele kwessies aan nie. Die raamwerk van Dooyeweerd, wat dan die derde raamwerk is, word voorgestel as 'n wyse waarop die natuur-vryheid grond-motief getransendeer kan word. Alhoewel die natuur-vryheid grondmotief grootliks gebruik word in hierdie studie, transendeer die analise die tradisionele ekonomiese benadering op 'n aantal gebiede. Hierdie gebiede sluit die volgende in: 'n fokus op transdissiplinere metodes, onewewigtigheid, 'n gevallestudie benadering, en empiriese skatting in plaas van teoretiese modelle. Die restorasie gevallestudies wat in hierdie studie gebruik word is voorbeelde van individuele komplekse sisteme. Agt dinamiese stelsel modelle word ontwikkel om die interaksies tussen ekonomiese, ekologiese en hidrologiese komponente in elke gevallestudie te modelleer. Hierdie agt stelseldinamiese modelle word dan gebruik in 'n risiko analise proses wat uitloop op 'n portefeulje plot oefening. Hierdie portefeulje plot oefening word dan gebruik om eienskappe en kenmerke van verskeie gevallestudie terreine te identifiseer gebaseer op die risiko profiel van elke terrein. Hierdie studie is die eerste bekende toepassing van dinamiese stesels, risiko analise en portefeulje plot tot 'n omgewingsrestorasie projek. Hierdie raamwerk kan potensieël gebruik word deur beleidskrywers wat met begrotings beperkinge gekonfronteer word om tussen restorasie projekte te kies en om hulle te prioritiriseer.
Emigh, Anthony James. "Predicting floods from space: a case study of Puerto Rico." Thesis, University of Iowa, 2019. https://ir.uiowa.edu/etd/6730.
Повний текст джерелаBohdanowicz, Paulina. "Responsible resource management in hotels : attitudes, indicators, tools and strategies." Doctoral thesis, Stockholm : Department of Energy Technology, Royal Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4131.
Повний текст джерелаChong, Natalie. "Beyond Evidence-Based Decision Support : Exploring the Multi-Dimensional Functionality of Environmental Modelling Tools. Comparative Analysis of Tool." Thesis, Paris Est, 2019. http://www.theses.fr/2019PESC1005.
Повний текст джерелаAs the sun sets on the age of unlimited growth and consumption, the call for progressively robust, adaptive and integrated solutions to address ‘wicked’ environmental problems has ushered in a new paradigm that has fundamentally changed the practices of both science and management. Emphasis on collaborative, integrative and participative approaches has given rise to burgeoning science-practice-policy arrangements while necessitating new tools to support the implementation of increasingly demanding regulation. In the context of water resources, models have emerged as fundamental tools favoured by scientists and practitioners alike, owing to their ability to advance scientific understanding of water systems functioning, while at the same time supporting key decisions in the management, policy and planning of river basins. A wide range of modelling tools have been developed to study the numerous physical, chemical, and biological processes at work, on different spatial and temporal scales, with varying levels of complexity. At the same time, models provide practitioners with a practical tool for supporting ‘evidence-based’ policy by transposing complex problems into technical, ‘manageable’ solutions. Yet, their application in practice has proven far from proportional to the amount of time and resources that have been invested in their development.This thesis aims to elucidate the enduring divide between science, practice and policy in the context of a new paradigm of science and management through the lens of modelling tools and their role at the science-practice-policy interface. Using a qualitative approach, we draw from two empirical examples: the PIREN-Seine in France and the CRC for Water Sensitive Cities in Australia. While both share similar challenges, methods and objectives, the fundamental difference in their strategies and approaches offers a rich foundation for comparison. In doing so, we explore the driving forces, implications and potential consequences of the parallel paradigm shifts in science and management, focusing on three main aspects: 1/ the use and utility of modelling tools to support water management, policy and planning; 2/ the different modalities of addressing uncertainty in model-based decision support, and; 3/ the role of new science-practice-policy arrangements. By first retracing the history of production and use of modelling tools in both examples, we seek to understand the nuanced relationship between ‘use’ and ‘utility’, offering insight into influencing factors. Next, we turn to the question of uncertainty by analysing how researchers and practitioners reconcile the fundamental challenge of uncertainty in model-based decision support. Delving deeper into the complex, negotiated social process that comprises the decision-making context, we focus on the social construction of ignorance and its role in decision-making. Finally, we examine the macro-level changes brought about by the paradigm shift in science and management. Amidst these changes, we seek to understand the emergence and functions of ‘boundary organisations’ in this new epoch, and their role in the quest for robust, adaptive and sustainable solutions
Книги з теми "Water resources and environmental modelling"
Hipel, Keith W. Time series modelling of water resources and environmental systems. Amsterdam: Elsevier, 1994.
Знайти повний текст джерелаWorkshop, on Hydrologic and Environmental Modelling in the Mekong Basin (2000 Phnom Penh Cambodia). Proceedings of the Workshop on Hydrologic and Environmental Modelling in the Mekong Basin. Phnom Penh, Cambodia: Technical Support Division, Mekong River Commission, 2000.
Знайти повний текст джерелаIndo-Soviet Workshop on Evaluation & Modelling of Impacts on Environment of Water Resources Projects (1985 New Delhi, India). Indo-Soviet Workshop on Evaluation & Modelling of Impacts on Environment of Water Resources Projects, 17-18 September 1985: Proceedings. New Delhi: The Board, 1985.
Знайти повний текст джерелаAnisfeld, Shimon C. Water resources. Washington: Island Press, 2010.
Знайти повний текст джерелаPiero, Melli, and Zannetti P, eds. Environmental modelling. Southampton: Computational Mechanics Publications, 1992.
Знайти повний текст джерелаWater resources. Washington: Island Press, 2010.
Знайти повний текст джерела1923-, Cairns John, Patrick Ruth 1907-, and International Convocation for World Environmental Regeneration (1983 : New York, N.Y.), eds. Managing water resources. New York: Praeger, 1986.
Знайти повний текст джерелаRao, Chintalacheruvu Madhusudana, K. C. Patra, D. Jhajharia, and Sangeeta Kumari, eds. Advanced Modelling and Innovations in Water Resources Engineering. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4629-4.
Повний текст джерелаA, Pykh I͡U︡, ed. Sustainable water resources management. Southampton, UK: WIT Press, 2003.
Знайти повний текст джерелаEnvironmental laws and water resources management. New Delhi: Radiant Publishers, 1986.
Знайти повний текст джерелаЧастини книг з теми "Water resources and environmental modelling"
Surinaidu, L., V. V. S. Gurunadha Rao, and Y. R. Satyaji Rao. "Hydrogeophysics and Numerical Solute Transport Modelling Techniques for Environmental Impact Assessment." In Water Resources and Environmental Engineering I, 157–71. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2044-6_14.
Повний текст джерелаXuan, Tu Le, Hung Le Manh, Hoang Tran Ba, Thanh Dang Quang, Vo Quoc Thanh, and Duong Tran Anh. "3D Numerical Modelling for Hydraulic Characteristics of a Hollow Triangle Breakwater." In Advances in Research on Water Resources and Environmental Systems, 265–83. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17808-5_17.
Повний текст джерелаGhouili, Nesrine, Mounira Zammouri, Faten Jarraya-Horriche, Fadoua Hamzaoui-Azzaza, and José Joel Carrillo-Rivera. "Groundwater Flow Modelling of a Multilayer Aquifer in Semi-arid Context." In Advances in Sustainable and Environmental Hydrology, Hydrogeology, Hydrochemistry and Water Resources, 287–89. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01572-5_68.
Повний текст джерелаNguyen, Van Minh, Kim Chau Tran, and Thanh Thuy Nguyen. "Modelling the Influences of River Water Level on the Flooding Situation of Urban Areas: A Case Study in Hanoi, Vietnam." In Advances in Research on Water Resources and Environmental Systems, 121–31. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17808-5_9.
Повний текст джерелаZeferino, Joel, Maria Rosário Carvalho, Tânia Ferreira, Maria Catarina Silva, Maria José Afonso, Liliana Freitas, Ana Rita Lopes, et al. "Forecasting and Mass Transport Modelling of Nitrates in the Esposende–Vila Do Conde Nitrate Vulnerable Zone (Portugal)." In Advances in Sustainable and Environmental Hydrology, Hydrogeology, Hydrochemistry and Water Resources, 95–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01572-5_23.
Повний текст джерелаCastelletti, Andrea, Francesca Pianosi, and Rodolfo Soncini-Sessa. "Stochastic and Robust Control of Water Resource Systems: Concepts, Methods and Applications." In System Identification, Environmental Modelling, and Control System Design, 383–401. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-974-1_19.
Повний текст джерелаLatif, Yasir, Yaoming Ma, Weiqiang Ma, Muhammad Sher, and Yaseen Muhammad. "Snowmelt Runoff Simulation During Early 21st Century Using Hydrological Modelling in the Snow-Fed Terrain of Gilgit River Basin (Pakistan)." In Advances in Sustainable and Environmental Hydrology, Hydrogeology, Hydrochemistry and Water Resources, 73–76. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01572-5_18.
Повний текст джерелаSaeedrashed, Younis Saida. "Hydrologic and Hydraulic Modelling of the Greater Zab River-Basin for an Effective Management of Water Resources in the Kurdistan Region of Iraq Using DEM and Raster Images." In Environmental Remote Sensing and GIS in Iraq, 415–46. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21344-2_17.
Повний текст джерелаAwange, Joseph, and John Kiema. "Water Resources." In Environmental Geoinformatics, 431–68. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03017-9_27.
Повний текст джерелаAwange, Joseph L., and John B. Kyalo Kiema. "Water Resources." In Environmental Geoinformatics, 341–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34085-7_22.
Повний текст джерелаТези доповідей конференцій з теми "Water resources and environmental modelling"
Sashikumar, N., M. S. Mohankumar, and K. Sridharan. "Modelling an Intermittent Water Supply." In World Water and Environmental Resources Congress 2003. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40685(2003)261.
Повний текст джерелаHohaia, Nick, Elizabeth Fassman, William F. Hunt, and Kelly A. Collins. "Hydraulic and Hydrologic Modelling of Permeable Pavement." In World Environmental and Water Resources Congress 2011. Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41173(414)61.
Повний текст джерелаThakur, Balbhadra, Ranjan Parajuli, Ajay Kalra, and Sajjad Ahmad. "Exploring CCHE2D and Its Sediment Modelling Capabilities." In World Environmental and Water Resources Congress 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481424.007.
Повний текст джерелаBoxall, J. B., and N. Dewis. "Identification of Discolouration Risk Through Simplified Modelling." In World Water and Environmental Resources Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40792(173)26.
Повний текст джерелаWilkens, Jort, Nils Asp, Klaus Ricklefs, and Roberto Mayerle. "Medium-Scale Morphodynamic Modelling in the Meldorf Bight." In World Water and Environmental Resources Congress 2001. Reston, VA: American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40569(2001)268.
Повний текст джерелаReeves, Mike, and Mark Lewy. "Modelling of Groundwater Infiltration in Urban Drainage Networks." In World Water and Environmental Resources Congress 2001. Reston, VA: American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40569(2001)464.
Повний текст джерелаMorbidelli, R., C. Corradini, C. Saltalippi, A. Flammini, and E. Rossi. "An Experimental Hydrometeorological Investigation to Address Infiltration-Redistribution Modelling." In World Environmental and Water Resources Congress 2011. Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41173(414)494.
Повний текст джерелаJia, Yafei, Carlos Alonso, Andrew Simon, Robert Wells, and Sam S. Y. Wang. "Modelling Flow and Vegetation Effects in a Curved Channel." In World Environmental and Water Resources Congress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)472.
Повний текст джерелаGlover, Peter B. M., and James G. Fookes. "Network and Transient Modelling of Dual Pressure Distribution Systems." In World Environmental and Water Resources Congress 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)457.
Повний текст джерелаAbdellatif, M., W. Atherton, and R. Alkhaddar. "Modelling Peaks over Threshold under the Effects of Climate Change." In World Environmental And Water Resources Congress 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412312.346.
Повний текст джерелаЗвіти організацій з теми "Water resources and environmental modelling"
Sudicky, E. A., and S. K. Frey. Merits and development strategies for a regional water resources modelling platform for southern Ontario - Great Lakes Basin. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/297741.
Повний текст джерелаRussell, H. A. J., and S. K. Frey. Canada One Water: integrated groundwater-surface-water-climate modelling for climate change adaptation. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329092.
Повний текст джерелаWhelan, G., J. P. McDonald, and C. Sato. Environmental consequences to water resources from alternatives of managing spent nuclear fuel at Hanford. Office of Scientific and Technical Information (OSTI), November 1994. http://dx.doi.org/10.2172/10196539.
Повний текст джерелаFrey, S. K., S. J. Berg, and E. A. Sudicky. A feasibility study of merits and development strategies for a regional water resources modelling platform for southern Ontario - Great Lakes Basin. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/298816.
Повний текст джерелаParadis, D. Water Resources Characterisation and Modelling (WRCM) Project: summary of the 2020-21 mid-year activities Summary of the 2020-21 Mid-Year Activities. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/327587.
Повний текст джерелаShani, Uri, Lynn Dudley, Alon Ben-Gal, Menachem Moshelion, and Yajun Wu. Root Conductance, Root-soil Interface Water Potential, Water and Ion Channel Function, and Tissue Expression Profile as Affected by Environmental Conditions. United States Department of Agriculture, October 2007. http://dx.doi.org/10.32747/2007.7592119.bard.
Повний текст джерелаDurden, Susan, Tyson Vaughan, and Brook Herman. Other social effects and social vulnerability analysis : existing resources. Engineer Research and Development Center (U.S.), June 2022. http://dx.doi.org/10.21079/11681/44662.
Повний текст джерелаGagnon, Paul, Jeanette Gallihugh, Shawn Komlos, Susan Durden, E. Vaughan, Elizabeth Murray, and Trudy Estes. Incorporating social and environmental outputs in decision-making : workshop outcomes. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45700.
Повний текст джерелаHodul, M., H. P. White, and A. Knudby. A report on water quality monitoring in Quesnel Lake, British Columbia, subsequent to the Mount Polley tailings dam spill, using optical satellite imagery. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330556.
Повний текст джерелаCorriveau, L., J. F. Montreuil, O. Blein, E. Potter, M. Ansari, J. Craven, R. Enkin, et al. Metasomatic iron and alkali calcic (MIAC) system frameworks: a TGI-6 task force to help de-risk exploration for IOCG, IOA and affiliated primary critical metal deposits. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329093.
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