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1

Halwatura, D., et MMM Najim. « Environmental Flow Assessment – An Analysis ». Journal of Environmental Professionals Sri Lanka 3, no 2 (24 décembre 2014) : 1. http://dx.doi.org/10.4038/jepsl.v3i2.7842.

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Jain, Sharad K. « Assessment of environmental flow requirements ». Hydrological Processes 26, no 22 (18 juillet 2012) : 3472–76. http://dx.doi.org/10.1002/hyp.9455.

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Grela, Jerzy, et Paweł Madej. « ASSESSMENT OF THE POSSIBILITIES FOR DETERMINING THE CHANNEL ENVIRONMENTAL FLOW BASED ON THE ENVIRONMENTAL REQUIREMENTS OF ICHTHYOFAUNA AND MACROZOOBENTOS ». Acta Scientiarum Polonorum Formatio Circumiectus 18, no 4 (15 décembre 2019) : 59–70. http://dx.doi.org/10.15576/asp.fc/2019.18.4.59.

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Dubey, Alpna, Omkar Singh, Shashank Shekhar et Chwadaka Pohshna. « Assessment of Environmental Flow Requirement using Environmental Management Classes-Flow Duration Curve for Narmada River ». International Journal of Current Microbiology and Applied Sciences 8, no 01 (10 janvier 2019) : 891–97. http://dx.doi.org/10.20546/ijcmas.2019.801.096.

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Baghel, Deepak Singh, Abhishek Gaur, M. Karthik et Devendra Dohare. « Global Trends in Environmental Flow Assessment : An Overview ». Journal of The Institution of Engineers (India) : Series A 100, no 1 (24 octobre 2018) : 191–97. http://dx.doi.org/10.1007/s40030-018-0332-5.

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Godinho, Francisco, Sérgio Costa, Paulo Pinheiro, Filipa Reis et António Pinheiro. « Integrated Procedure for Environmental Flow Assessment in Rivers ». Environmental Processes 1, no 2 (24 avril 2014) : 137–47. http://dx.doi.org/10.1007/s40710-014-0012-z.

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Sanderson, J. S., N. Rowan, T. Wilding, B. P. Bledsoe, W. J. Miller et N. L. Poff. « GETTING TO SCALE WITH ENVIRONMENTAL FLOW ASSESSMENT : THE WATERSHED FLOW EVALUATION TOOL ». River Research and Applications 28, no 9 (27 juin 2011) : 1369–77. http://dx.doi.org/10.1002/rra.1542.

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Fatemi, Seyed Ehsan, Freydon Vafaie et Hans Bressers. « Assessment of environmental flow requirement effects at an estuary ». Proceedings of the Institution of Civil Engineers - Water Management 166, no 8 (septembre 2013) : 411–21. http://dx.doi.org/10.1680/wama.12.00005.

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Akter, Aysha, et Md Hazrat Ali. « Environmental flow requirements assessment in the Halda River, Bangladesh ». Hydrological Sciences Journal 57, no 2 (février 2012) : 326–43. http://dx.doi.org/10.1080/02626667.2011.644242.

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Suwal, Naresh, Alban Kuriqi, Xianfeng Huang, João Delgado, Dariusz Młyński et Andrzej Walega. « Environmental Flows Assessment in Nepal : The Case of Kaligandaki River ». Sustainability 12, no 21 (22 octobre 2020) : 8766. http://dx.doi.org/10.3390/su12218766.

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Environmental flow assessments (e-flows) are relatively new practices, especially in developing countries such as Nepal. This study presents a comprehensive analysis of the influence of hydrologically based e-flow methods in the natural flow regime. The study used different hydrological-based methods, namely, the Global Environmental Flow Calculator, the Tennant method, the flow duration curve method, the dynamic method, the mean annual flow method, and the annual distribution method to allocate e-flows in the Kaligandaki River. The most common practice for setting e-flows consists of allocating a specific percentage of mean annual flow or portion of flow derived from specific percentiles of the flow duration curve. However, e-flow releases should mimic the river’s intra-annual variability to meet the specific ecological function at different river trophic levels and in different periods over a year covering biotas life stages. The suitability of the methods was analyzed using the Indicators of Hydrological Alterations and e-flows components. The annual distribution method and the 30%Q-D (30% of daily discharge) methods showed a low alteration at the five global indexes for each group of Indicators of Hydrological Alterations and e-flows components, which allowed us to conclude that these methods are superior to the other methods. Hence, the study results concluded that 30%Q-D and annual distribution methods are more suitable for the e-flows implementation to meet the riverine ecosystem’s annual dynamic demand to maintain the river’s health. This case study can be used as a guideline to allocate e-flows in the Kaligandaki River, particularly for small hydropower plants.
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O'Brien, Gordon C., Chris Dickens, Eleanor Hines, Victor Wepener, Retha Stassen, Leo Quayle, Kelly Fouchy, James MacKenzie, P. Mark Graham et Wayne G. Landis. « A regional-scale ecological risk framework for environmental flow evaluations ». Hydrology and Earth System Sciences 22, no 2 (2 février 2018) : 957–75. http://dx.doi.org/10.5194/hess-22-957-2018.

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Abstract. Environmental flow (E-flow) frameworks advocate holistic, regional-scale, probabilistic E-flow assessments that consider flow and non-flow drivers of change in a socio-ecological context as best practice. Regional-scale ecological risk assessments of multiple stressors to social and ecological endpoints, which address ecosystem dynamism, have been undertaken internationally at different spatial scales using the relative-risk model since the mid-1990s. With the recent incorporation of Bayesian belief networks into the relative-risk model, a robust regional-scale ecological risk assessment approach is available that can contribute to achieving the best practice recommendations of E-flow frameworks. PROBFLO is a holistic E-flow assessment method that incorporates the relative-risk model and Bayesian belief networks (BN-RRM) into a transparent probabilistic modelling tool that addresses uncertainty explicitly. PROBFLO has been developed to evaluate the socio-ecological consequences of historical, current and future water resource use scenarios and generate E-flow requirements on regional spatial scales. The approach has been implemented in two regional-scale case studies in Africa where its flexibility and functionality has been demonstrated. In both case studies the evidence-based outcomes facilitated informed environmental management decision making, with trade-off considerations in the context of social and ecological aspirations. This paper presents the PROBFLO approach as applied to the Senqu River catchment in Lesotho and further developments and application in the Mara River catchment in Kenya and Tanzania. The 10 BN-RRM procedural steps incorporated in PROBFLO are demonstrated with examples from both case studies. PROBFLO can contribute to the adaptive management of water resources and contribute to the allocation of resources for sustainable use of resources and address protection requirements.
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Rijal, Narayan Hari, et Knut Alfredsen. « Environmental Flows in Nepal - An Evaluation of Current Practices and an Analysis of the Upper Trishuli-I Hydroelectric Project ». Hydro Nepal : Journal of Water, Energy and Environment 17 (28 août 2015) : 8–17. http://dx.doi.org/10.3126/hn.v17i0.13268.

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Environmental assessments and environmental flows are important components in modern hydropower development. Various methods employing a combination of hydrology, hydraulics, environmental assessment and ecology have been developed for analysing and setting environmental flows. In the developed countries, detailed assessments are being carried out for setting environmental flows whereas very little attention has been given to this topic in Nepal. However, this trend is changing in recent developments. We discuss current minimum flow practices for a number of hydropower projects in the planning, development and operation phases to observe minimum flows and environmental flow over time. Furthermore, we present an analysis of environmental flows for the Upper Trishuli-I Hydroelectric Project in Nepal that is currently in the planning phase. We base our conclusion using current flow assessment methodologies to study the effects of proposed minimum flows and possible changes to improve the effect of compensatory releases. HYDRO Nepal JournalJournal of Water, Energy and EnvironmentIssue: 17, July 2015
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Grantham, Theodore E., Joshua H. Viers et Peter B. Moyle. « Systematic Screening of Dams for Environmental Flow Assessment and Implementation ». BioScience 64, no 11 (15 octobre 2014) : 1006–18. http://dx.doi.org/10.1093/biosci/biu159.

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Bond, Nick R., Nicola Grigg, Jane Roberts, Heather McGinness, Daryl Nielsen, Matthew O'Brien, Ian Overton, Carmel Pollino, Julian R. W. Reid et Danial Stratford. « Assessment of environmental flow scenarios using state-and-transition models ». Freshwater Biology 63, no 8 (21 janvier 2018) : 804–16. http://dx.doi.org/10.1111/fwb.13060.

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Baeza Sanz, Domingo, Cesar Agustin Lopez Santiago, Irene Atienzar Pertusa et Patricia Novo Ruiz. « Proposal of Environmental Flow Assessment Criteria for Exceptional Hydrologic Situations ». Journal of Environmental Engineering 144, no 7 (juillet 2018) : 04018044. http://dx.doi.org/10.1061/(asce)ee.1943-7870.0001368.

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Peres, David J., et Antonino Cancelliere. « Environmental Flow Assessment Based on Different Metrics of Hydrological Alteration ». Water Resources Management 30, no 15 (11 juin 2016) : 5799–817. http://dx.doi.org/10.1007/s11269-016-1394-7.

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Hairan, Mohammad Haroon, Nor Rohaizah Jamil, Mohammad Noor Amal Azmai, Ley Juen Looi et Moriken Camara. « Environmental Flow Assessment of a Tropical River System Using Hydrological Index Methods ». Water 13, no 18 (9 septembre 2021) : 2477. http://dx.doi.org/10.3390/w13182477.

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Tropical rivers and wetlands are recognized as one of the greatest and most abundant ecosystems in terms of ecological and social benefits. However, climate change, damming, overfishing, water pollution, and the introduction of exotic species threaten these ecosystems, which puts about 65% of river flow and aquatic ecosystems under a moderate to high level of threat. This paper aims to assess the environmental flow of the Selangor River based on the hydrological index method using the Global Environmental Flow Calculator (GEFC) and Indicators of Hydrological Alterations (IHA) software. The daily flow data collected by the Department of Irrigation and Drainage (DID), Malaysia, over a 60-year period (1960–2020) was used in this study to assess the Selangor River flow alterations. As per the results, the river flow has had two distinct periods over the last 60 years. In the first period, the river flows without any alteration and has a natural flow with high flood pulses and low flow pulses. While in the second, or post-impact, period, the flow of the river has a steady condition throughout the year with very little fluctuations between the dry and wet seasons of the year. From the overall comparison of the pre- and post-impact periods, it can be concluded that the minimum flow in the dry seasons of the year has increased, while the maximum flow has decreased in the monsoon seasons during the post-impact period. As a result, the Flow Duration Curve (FDC) and Environmental Management Class (EMC) analysis of the river flow recommends that the Selangor River be managed under EMC “C” to provide sufficient water for both human use and ecosystem conservation, which would also help to avoid a water level drop in the reservoirs. However, further holistic studies are suggested for a detailed analysis of the effects of the dams on aquatic biodiversity and ecosystem services in the Selangor River Basin.
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Yadav, Maharshi, Govind Pandey et Pradeep Kumar. « Environmental Flow Assessment (EFA) of Tawi River Discharge at the Jammu Location Using the Global Environmental Flow Calculator (GEFC) ». Nature Environment and Pollution Technology 22, no 2 (1 juin 2023) : 1063–71. http://dx.doi.org/10.46488/nept.2023.v22i02.054.

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The water, food, and energy demands are the basic requirements of society. These demands are increasing daily due to an increase in population or lifestyle changes. To fulfill these ever-increasing demands, several water resource projects have come up which require the storage or diversion of river water. These interventions have caused widespread degradation of aquatic ecosystems. Due to the degradation of the aquatic ecosystem, several programs all around the globe began. In this series, Brisbane Declaration (2007) provided a more holistic definition of Environmental Flows (EFs) as the quantity, timing, duration, frequency, and quality of flows required to sustain freshwater, estuarine and near-shore ecosystems and the human livelihoods and well-being that depend on them. The present study was envisaged to assess for environmental flows of the Tawi river with a major objective of assessing the environmental flows of the Tawi river using the Global Environmental Flow Calculator developed by IWMI. The method provides E-Flows for different Environmental Management Classes. For the western Himalayan region, the river stretches in Environmental Management Class ‘B’ and ‘C’. The assessment provides E-Flows in two ways: (i) the percentage of Mean Annual Runoff and (ii) average monthly environmental flows. E-Flows were estimated as 42.34% to 56.96% of Mean Annual Runoff and varied from 5.73 cumecs during November to 68.23 during August.
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Wahono, E. P., Chisandini et D. Legono. « Environmental flow assessment of Kayan River : managing sustainability indicator of hydropower project ». IOP Conference Series : Earth and Environmental Science 930, no 1 (1 décembre 2021) : 012073. http://dx.doi.org/10.1088/1755-1315/930/1/012073.

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Abstract Nowadays, constructing a new hydropower plant is one of the most attractive solutions to overcome energy requirements. The Kayan Hydroelectric, built in the Kayan River, is projected to generate electricity of nine hundred megawatts. However, the dams have to be managed appropriately since alteration of river discharge will have a significant impact on the environment. This paper proposes an environmental flow assessment as an appropriate indicator to manage sustainability. Three environmental flow assessment methods were used: Flow Duration Curve Analysis (FDCA), Tennant method, and Building Block method. The environmental flow pattern was used as a benchmark to evaluate whether the operation rule of the dams fulfilled the sustainable requirement, particularly on the hydrological pattern of the river. Regarding the Tennant and FDCA method, the minimum discharge that has to be maintained for the minimum environmental flow of the river is about twenty-five cms (corresponds to ten percent of AFF) and thirty-five cms, respectively. Meanwhile, the Building block method informs a range of discharge from a hundred cms to twenty thousand cms during the flood. The environmental flow should be managed to guarantee that the river’s ecosystem and carrying capacity can be preserved.
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Shiau, Jenq-Tzong, et Fu-Chun Wu. « A Histogram Matching Approach for assessment of flow regime alteration : application to environmental flow optimization ». River Research and Applications 24, no 7 (septembre 2008) : 914–28. http://dx.doi.org/10.1002/rra.1102.

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Karimi, Saman, Meysam Salarijazi, Khalil Ghorbani et Mohammad Heydari. « Comparative assessment of environmental flow using hydrological methods of low flow indexes, Smakhtin, Tennant and flow duration curve ». Acta Geophysica 69, no 1 (février 2021) : 285–93. http://dx.doi.org/10.1007/s11600-021-00539-z.

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Cottingham, P., M. C. Thoms et G. P. Quinn. « Scientific panels and their use in environmental flow assessment in Australia ». Australasian Journal of Water Resources 5, no 1 (janvier 2002) : 103–11. http://dx.doi.org/10.1080/13241583.2002.11465196.

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Chandler, Stephen, et Jim M. Dunwell. « Gene Flow, Risk Assessment and the Environmental Release of Transgenic Plants ». Critical Reviews in Plant Sciences 27, no 1 (20 mai 2008) : 25–49. http://dx.doi.org/10.1080/07352680802053916.

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Mazvimavi, D., E. Madamombe et H. Makurira. « Assessment of environmental flow requirements for river basin planning in Zimbabwe ». Physics and Chemistry of the Earth, Parts A/B/C 32, no 15-18 (janvier 2007) : 995–1006. http://dx.doi.org/10.1016/j.pce.2007.07.001.

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Debol’skii, V. K., E. N. Dolgopolova, L. A. Eshchenko, A. V. Kotlyakov, M. A. Mordasov, V. V. Konov et V. V. Koreneva. « Flow Dynamics in the Rybinsk Headwork Tailrace and Its Environmental Assessment ». Water Resources 32, no 3 (mai 2005) : 245–51. http://dx.doi.org/10.1007/s11268-005-0033-0.

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Kim, Zooho, et Vijay P. Singh. « Assessment of Environmental Flow Requirements by Entropy-Based Multi-Criteria Decision ». Water Resources Management 28, no 2 (31 décembre 2013) : 459–74. http://dx.doi.org/10.1007/s11269-013-0493-y.

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Tharme, R. E. « A global perspective on environmental flow assessment : emerging trends in the development and application of environmental flow methodologies for rivers ». River Research and Applications 19, no 5-6 (2003) : 397–441. http://dx.doi.org/10.1002/rra.736.

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Shang, Wenxiu, Dengming Yan et Shaoming Peng. « Environmental flow assessment in the Lower Yellow River using habitat simulation and hydrological reference system ». E3S Web of Conferences 267 (2021) : 01022. http://dx.doi.org/10.1051/e3sconf/202126701022.

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The accuracy of the habitat simulation method is often questioned due to limited simulated elements and indicator species. This study established an environmental flow assessment method by coupling fish habitat simulation with hydrological reference system. The environmental flow obtained through the habitat simulation method was corrected by the statistical characteristics of natural flow regime. The environmental flow of the Huayuankou section in the Lower Yellow River was assessed. The results show that the environmental flow demand of the Huayuankou section is 7.9 - 15.4 billion m3/y without consideration of sediment transport. An environmental baseflow of 220 - 400 m3/s is required throughout the year. One to two high flow pulses are needed in the rising-water season to trigger spawning, followed by flow events of 350 - 500 m3/s with more than 1 week duration to create the spawning grounds.
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Tegos, Aristoteles, Wolfram Schlüter, Niall Gibbons, Yanis Katselis et Andreas Efstratiadis. « Assessment of Environmental Flows from Complexity to Parsimony—Lessons from Lesotho ». Water 10, no 10 (20 septembre 2018) : 1293. http://dx.doi.org/10.3390/w10101293.

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Over the last decade, Environmental Flow Assessment (EFA) has focused scientific attention around heavily-modified hydrosystems, such as flow regulated releases downstream of dams. In this light, numerous approaches of varying complexity have been developed, the most holistic of which incorporate hydrological, hydraulic, biological and water quality inputs, as well as socioeconomic issues. Finding the optimal flow releases, informing policy and determining an operational framework are often the main focus. This work exhibits a simplification of the DRIFT framework, and is regarded as the first holistic EFA approach, consisting of three modules, namely hydrological, hydraulic and fish quality. A novel conceptual classification for fish quality is proposed, associating fish fauna requirements with hydraulic characteristics, exported by fish survey analyses. The new methodology was applied and validated successfully at three stream sites in Lesotho, where DRIFT was formerly employed.
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Salinas-Rodríguez, Sergio A., Nick C. van de Giesen et Michael E. McClain. « Inter-Annual and Seasonal Variability of Flows : Delivering Climate-Smart Environmental Flow Reference Values ». Water 14, no 9 (6 mai 2022) : 1489. http://dx.doi.org/10.3390/w14091489.

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Environmental flow (eflow) reference values play a key role in environmental water science and practice. In Mexico, eflow assessments are set by a norm in which the frequency of occurrence is the managing factor to integrate inter-annual and seasonal flow variability components into environmental water reserves. However, the frequency parameters have been used indistinctively between streamflow types. In this study, flow variability contributions in 40 rivers were evaluated based on hydrology, climate, and geography. Multivariate assessments were conducted based on a standardized contribution index for the river types grouping (principal components) and significant differences (one-way PERMANOVA). Eflow requirements for water allocation were calculated for different management objectives according to the frequency-of-occurrence baseline and an adjustment to reflect the differences between river types. Results reveal that there are significant differences in the flow variability between hydrological conditions and streamflow types (p-values < 0.05). The performance assessment reveals that the new frequency of occurrence delivers climate-smart reference values at least at an acceptable level (for 85–87% of the cases, r2 ≥ 0.8, slope ≤ 3.1), strengthening eflow assessments and implementations.
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Vigiak, Olga, Stefanie Lutz, Angeliki Mentzafou, Gabriele Chiogna, Ye Tuo, Bruno Majone, Hylke Beck et al. « Uncertainty of modelled flow regime for flow-ecological assessment in Southern Europe ». Science of The Total Environment 615 (février 2018) : 1028–47. http://dx.doi.org/10.1016/j.scitotenv.2017.09.295.

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Nel, J. L., E. Turak, S. Linke et C. Brown. « Integration of environmental flow assessment and freshwater conservation planning : a new era in catchment management ». Marine and Freshwater Research 62, no 3 (2011) : 290. http://dx.doi.org/10.1071/mf09318.

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Integrated water resources management offers an ideal platform for addressing the goals of freshwater conservation and climate change adaptation. Environmental flow assessment and systematic conservation planning have evolved separately in respective aquatic and terrestrial realms, and both are central to freshwater conservation and can inform integrated water resources management. Integrating these two approaches is mutually beneficial. Environmental flow assessment considers dynamic flow regimes, measuring social, economic and ecological costs of development scenarios. Conservation planning systematically produces different conservation scenarios that can be used in assessing these costs. Integration also presents opportunities to examine impacts of climate change on conservation of freshwater ecosystems. We review progress in environmental flow assessment and freshwater conservation planning, exploring the mutual benefits of integration and potential ways that this can be achieved. Integration can be accomplished by using freshwater conservation planning outputs to develop conservation scenarios for assessment against different scenarios, and by assessing the extent to which each scenario achieves conservation targets. New tools that maximise complementarity by achieving conservation and flow targets simultaneously should also be developed.
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Ghanbarpour, M. Reza, Somayeh Zolfaghari, Christoph Geiss et Zahra Darvari. « Investigation of river flow alterations using environmental flow assessment and hydrologic indices : Tajan River Watershed, Iran ». International Journal of River Basin Management 11, no 3 (septembre 2013) : 311–21. http://dx.doi.org/10.1080/15715124.2013.823978.

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Praskievicz, Sarah, et Cehong Luo. « Assessment of flow–ecology relationships for environmental flow standards : a synthesis focused on the southeast USA ». Hydrological Sciences Journal 65, no 4 (14 janvier 2020) : 571–82. http://dx.doi.org/10.1080/02626667.2020.1714051.

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Zhang, Y., A. H. Arthington, S. E. Bunn, S. Mackay, J. Xia et M. Kennard. « CLASSIFICATION OF FLOW REGIMES FOR ENVIRONMENTAL FLOW ASSESSMENT IN REGULATED RIVERS : THE HUAI RIVER BASIN, CHINA ». River Research and Applications 28, no 7 (18 janvier 2011) : 989–1005. http://dx.doi.org/10.1002/rra.1483.

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Sedighkia, Mahdi, Bithin Datta, Asghar Abdoli et Zahra Moradian. « An ecohydraulic-based expert system for optimal management of environmental flow at the downstream of reservoirs ». Journal of Hydroinformatics 23, no 6 (21 octobre 2021) : 1343–67. http://dx.doi.org/10.2166/hydro.2021.112.

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Abstract Linking ecohydraulic modeling and reservoir operation optimization is a requirement for robust management of the environmental degradations at the downstream of the reservoirs. The present study proposes and evaluates an ecohydraulic-based expert system to optimize environmental flow at the downstream of the reservoirs. Three fuzzy inference systems including physical habitat assessment, water quality assessment and combined suitability assessment were developed based on the expert panel method. Moreover, water temperature and dissolved oxygen were simulated by the coupled particle swarm optimization (PSO)–adaptive neuro-fuzzy inference system. Three evolutionary algorithms including PSO, differential evolution algorithm (DE) and biogeography-based optimization were applied to optimize the environmental flow regime. A fuzzy technique for order of preference by similarity to ideal solution was applied to select the best evolutionary algorithm to assess environmental flow. Based on the results in the case study, the proposed method provides a robust framework for simultaneous management of environmental flow and water supply. DE was selected as the best algorithm to optimize environmental flow. The optimization system was able to balance habitat losses, storage loss and water supply loss that might reduce negotiations between the stakeholders and environmental managers in the reservoir management.
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Acreman, M. C., et M. J. Dunbar. « Defining environmental river flow requirements – a review ». Hydrology and Earth System Sciences 8, no 5 (31 octobre 2004) : 861–76. http://dx.doi.org/10.5194/hess-8-861-2004.

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Abstract. Around the world, there is an increasing desire, supported by national and regional policies and legislation, to conserve or restore the ecological health and functioning of rivers and their associated wetlands for human use and biodiversity. To achieve this, many organisations have developed methods for defining “environmental flows‿, i.e. the flow regime required in a river to achieve desired ecological objectives. This paper reviews the various methods available and suggests a simple categorisation of the methods into four types: look-up tables, desk-top analysis; functional analysis and hydraulic habitat modelling. No method is necessarily better than another; each may be suitable for different applications. Whilst look-up methods are easy and cheap to apply, they can be expensive to develop, are less accurate and more suitable for scoping studies; in contrast, although hydraulic habitat modelling is more expensive to apply, it is suitable for impact assessment at specific sites. Each method would need to be used within a wider decision-support framework. These are generally either objective-based to define a target flow regime for a specific desired river status, or scenario-based to indicate the relative merits of various flow regime options for the river environment. Keywords: environmental flow, instream flow, river habitat modelling, building block method, flow scenario analysis, objective setting.
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Hairan, Mohammad Haroon, Nor Rohaizah Jamil, Ley Juen Looi et Mohammad Noor Amal Azmai. « The assessment of environmental flow status in Southeast Asian Rivers : A review ». Journal of Cleaner Production 295 (mai 2021) : 126411. http://dx.doi.org/10.1016/j.jclepro.2021.126411.

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TAKEYAMA, Yasushi. « Environmental impact assessment of exhaust emissions in consideration of network traffic flow. » ENVIRONMENTAL SYSTEMS RESEARCH 20 (1992) : 200–205. http://dx.doi.org/10.2208/proer1988.20.200.

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Wahono, Endro Prasetyo, Djoko Legono,   Istiarto et Bambang Yulistiyanto. « Environmental Flow Assessment Using Water-Sediment Approach at the Sekampung River, Indonesia ». Open Journal of Modern Hydrology 04, no 04 (2014) : 164–72. http://dx.doi.org/10.4236/ojmh.2014.44016.

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Gippel, Christopher J. « Geomorphic issues associated with environmental flow assessment in alluvial non-tidal rivers ». Australasian Journal of Water Resources 5, no 1 (janvier 2002) : 3–19. http://dx.doi.org/10.1080/13241583.2002.11465189.

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Yang, Y., H. Chen et Z. F. Yang. « Integration of water quantity and quality in environmental flow assessment in wetlands ». Procedia Environmental Sciences 13 (2012) : 1535–52. http://dx.doi.org/10.1016/j.proenv.2012.01.146.

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Volchek, Alexander, Ivan Kirvel et Nikolay Sheshko. « Environmental flow assessment for the Yaselda River in its Selets reservoir section ». Ecohydrology & ; Hydrobiology 19, no 1 (janvier 2019) : 109–18. http://dx.doi.org/10.1016/j.ecohyd.2018.06.001.

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Bhangaonkar, Pranavkumar, et Jayeshkumar Patel. « Assessment of Water Quality of Vishwamitri River to Explore Environmental Flow Requirements ». International Journal of Scientific Research in Environmental Sciences 5, no 3 (1 juin 2017) : 52–62. http://dx.doi.org/10.12983/ijsres-2017-p0052-0062.

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Papadaki, Christina, Konstantinos Soulis, Lazaros Ntoanidis, Stamatis Zogaris, Nicholas Dercas et Elias Dimitriou. « Comparative Assessment of Environmental Flow Estimation Methods in a Mediterranean Mountain River ». Environmental Management 60, no 2 (6 mai 2017) : 280–92. http://dx.doi.org/10.1007/s00267-017-0878-4.

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Liu, Zhiyong, Tobias Törnros et Lucas Menzel. « A probabilistic prediction network for hydrological drought identification and environmental flow assessment ». Water Resources Research 52, no 8 (août 2016) : 6243–62. http://dx.doi.org/10.1002/2016wr019106.

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O'Keeffe, J., S. Graas, F. Mombo et M. McClain. « Stakeholder-enhanced environmental flow assessment : The Rufiji Basin case study in Tanzania ». River Research and Applications 35, no 5 (27 septembre 2017) : 520–28. http://dx.doi.org/10.1002/rra.3219.

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Uday Kumar, A., et K. V. Jayakumar. « Assessment of hydrological alteration and environmental flow requirements for Srisailam dam on Krishna River, India ». Water Policy 20, no 6 (16 août 2018) : 1176–90. http://dx.doi.org/10.2166/wp.2018.203.

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Abstract Natural flow plays a vital role in forming biotic diversity by controlling essential environmental conditions within the river channel and floodplain. This paper assesses the changes in streamflow and ecology caused on Krishna River by Srisailam dam. Regulated and unregulated river flow discharge data were collected at Nagarjuna Sagar gauge station which is located downstream of Srisailam dam. Flow Health (FH) software developed by the International Water Centre, Brisbane is used to calculate the hydrological alteration and environmental flow requirements due to Srisailam dam. Results show that impoundment of the dam mainly decreases the high flows by storing flood flow for water supply, irrigation purposes, etc., and enhances low flows due to hydropower operation. Regulation of the dam significantly affected the mean flow in August, September, and October. Mean annual flow (MAF) decreased considerably and seasonal flow shifted. The minimum flow released from the dam to downstream was calculated by two options, namely, low risk and medium risk to the environment. Low risk achieved a score of 0.61 FH and 0.5 FH was achieved by high risk, with a MAF volume of 40% (i.e., 7,225 m3) and 30% (5,847 m3), respectively.
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VASILYEVA, V. V., A. G. SHEVTSOVA, E. A. NOVOPISNY et A. G. LOKTIONOVA. « ASSESSMENT OF THE TECHNICAL PARAMETERS OF VEHICLES FOR THE ANALYSIS OF ENVIRONMENTAL INDICATORS ». World of transport and technological machines 78, no 3-1 (2022) : 65–72. http://dx.doi.org/10.33979/2073-7432-2022-1(78)-3-65-72.

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An analysis of the traffic flow at the intersections of the city of Belgorod was carried out, on the basis of which the main models of light vehicles most frequently encountered in the flow were established and their technical and design parameters were evaluated, which made it possible to establish the parameters of a calibrated vehicle necessary for performing calculations in the or-ganization of traffic, and as well as traffic control. The assessment made it possible to establish en-vironmental indicators to assess the effectiveness of established management methods for the stu-died traffic flow.
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Jeppsson, U., et D. Hellström. « Systems analysis for environmental assessment of urban water and wastewater systems ». Water Science and Technology 46, no 6-7 (1 septembre 2002) : 121–29. http://dx.doi.org/10.2166/wst.2002.0671.

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In this paper, two fundamentally different urban wastewater systems are assessed from an environmental impact perspective. One system represents a centralised, high-tech, end-of-pipe structure whereas the second system is primarily based on source-separation strategies. Using material flow analysis in combination with evaluation methods based on life-cycle assessment the systems are evaluated by means of simulation and the results are discussed. A set of priority indicators for environmental assessments of urban water systems is suggested and applied in the analysis. Energy issues are also commented upon. The main intent of the paper is to present the principles of this type of assessment rather than detailed numbers for all possible environmental effects and hazardous substances emitted to air, water and soil. It represents one of several building blocks for a future multi-criteria decision-support system to evaluate urban water management from a sustainability perspective.
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