Samaneh Seifollahi


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Works at Department of Physical Geography
Visiting address Svante Arrhenius väg 8
Room T 314
Postal address Inst för naturgeografi 106 91 Stockholm

About me

Samaneh has started her Postdoc on July 2018, focusing on land-sea synergies and modeling their physical, socio-economic, and environmental interactions by combining a multi-actor approach with system dynamics modeling. Her research is part of an EU-H2020 project, Collaborative Land-Sea integration platform (COASTAL), based on six European case studies. However, her collaboration with Stockholm University started as a visiting scientist on January 2018. Her work was focused on resilience and management of Arctic wetlands and their environmental services under natural and managerial interventions.

She is specialist in water resources management throughout her career, working on different water projects, and meteorology and hydrology research. In addition, she has extensive experience in water resources modeling, developing and practicing new professional software for watershed management. Her collaboration with Stockholm Environment Institute (SEI)-US center as a water resources modeler was concentrated on international collaboration with SEI-Asia center on developing an efficient decision support system, CERK-WET project to make a disaggregated water system model for Los Angeles County, and Santa Clara Valley Water District project for scenario assessment on fish habitat suitability.

She holds a PhD of Science in Water Resources Management from the University of Tehran, Iran, where she was awarded Best PhD Research Student at the 24th Research Festival (2015), and also International Day Festival (2014). She has also spent one year at University of California, Davis, in the Hubert H. Humphrey Fellowship program, being held by the U.S. Department of State (Fulbright program) to enhance professional and leadership skills. In scientific area, she has several publications and books in international and national presses and worked as a teacher assistant in the University of Tehran for seven years. Her current research interests include hydrology, climate change, surface water management, water system dynamic analysis, and software development for water resources modeling.


A selection from Stockholm University publication database
  • 2018. Samaneh Seifollahi-Aghmiuni, Omid Bozorg Haddad. Water resources management 32 (12), 4013-4030

    Various objectives are mainly met through decision making in real world. Achieving desirable condition for all objectives simultaneously is a necessity for conflicting objectives. This concept is called multi objective optimization widely used nowadays. In this study, a new algorithm, comprehensive evolutionary algorithm (CEA), is developed based on general concepts of evolutionary algorithms that can be applied for single or multi objective problems with a fixed structure. CEA is validated through solving several mathematical multi objective problems and the obtained results are compared with the results of the non-dominated sorting genetic algorithm II (NSGA-II). Also, CEA is applied for solving a reservoir operation management problem. Comparisons show that CEA has a desirable performance in multi objective problems. The decision space is accurately assessed by CEA in considered problems and the obtained solutions' set has a great extent in the objective space of each problem. Also, CEA obtains more number of solutions on the Pareto than NSGA-II for each considered problem. Although the total run time of CEA is longer than NSGA-II, solution set obtained by CEA is about 32, 4.4 and 1.6% closer to the optimum results in comparison with NSGA-II in the first, second and third mathematical problem, respectively. It shows the high reliability of CEA's results in solving multi objective problems.

  • 2019. Fernando Jaramillo (et al.). Water 11 (3)

    Wetlands are often vital physical and social components of a country's natural capital, as well as providers of ecosystem services to local and national communities. We performed a network analysis to prioritize Sustainable Development Goal (SDG) targets for sustainable development in iconic wetlands and wetlandscapes around the world. The analysis was based on the information and perceptions on 45 wetlandscapes worldwide by 49 wetland researchers of the Global Wetland Ecohydrological Network (GWEN). We identified three 2030 Agenda targets of high priority across the wetlandscapes needed to achieve sustainable development: Target 6.3-Improve water quality; 2.4-Sustainable food production; and 12.2-Sustainable management of resources. Moreover, we found specific feedback mechanisms and synergies between SDG targets in the context of wetlands. The most consistent reinforcing interactions were the influence of Target 12.2 on 8.4-Efficient resource consumption; and that of Target 6.3 on 12.2. The wetlandscapes could be differentiated in four bundles of distinctive priority SDG-targets: Basic human needs, Sustainable tourism, Environmental impact in urban wetlands, and Improving and conserving environment. In general, we find that the SDG groups, targets, and interactions stress that maintaining good water quality and a wise use of wetlandscapes are vital to attaining sustainable development within these sensitive ecosystems.

  • 2019. Samaneh Seifollahi-Aghmiuni, Omid Bozorg-Haddad. Journal of hydrologic engineering 24 (9)

    Reservoirs, as the largest water systems for controlling water and supply demands, have been particularly important due to their operational requirements. Applying practical tools to evaluate the performance of reservoir systems plays a key role in their effective operational management. This study focused on developing a simulation-optimization tool for the design and operation of multiattribute reservoir systems (SOMAR), which includes four parts: input data, simulation, optimization, and output results. Its different components can be selectively activated for each problem. SOMAR can use both standard operation policy or given rule curves for reservoir system simulation in accordance with the user's preference. It applies a comprehensive evolutionary algorithm for optimization. In this study, SOMAR was validated in seven types of reservoir system problems, including simulations based on (1) standard operation policy, (2) given rule curves, (3) design optimization, (4) long-term operation optimization, (5) design and long-term operation optimization, (6) rule curve optimization, and (7) design and rule curve optimization. The validations indicated the capabilities of SOMAR in analyzing reservoir systems with high reliability of the final results by considering different aspects of these systems.

  • 2019. Samaneh Seifollahi-Aghmiuni, Minnoka Nockrach, Zahra Kalantari. Water 11 (3)

    Wetlands used as cost-effective nature-based solutions provide environmental and socio-economic benefits to people locally and regionally. With significant loss of wetland areas due to expansion of forest, agriculture, and energy production industries, some countries, including Sweden, have begun providing economic support for environmental objectives for wetland conservation and restoration. Targeting such objectives and setting up relevant plans can decrease the risk of losing valuable wetland-related benefits and help achieve the United Nations Sustainable Development Goals (SDGs). Different ranges of wetland ecosystem services are broadly addressed by the SDGs, however, target-based assessments are required to better understand wetland functionality for sustainable development. This study investigates whether and how wetland ecosystems at local and regional scales can contribute to achieving the SDGs and their targets in Sweden. Scientific literature, policy documents, and international reports on Swedish wetland ecosystems are scrutinized to exemplify the SDGs and their targets, applying a scoring framework based on their interactions. This reveals that, overall, Swedish wetland ecosystems and implemented management plans can positively interact with 10 SDGs and 17 targets at different levels. The analysis also highlights synergies that need to be considered for integrated environmental governance and enhanced policy coherence for Swedish wetland management.

  • 2019. Samaneh Seifollahi-Aghmiuni (et al.). Water 11 (4)

    Wetlands are essential parts of Arctic landscapes, playing important roles for the sustainable development of the region, and linking to climate change and adaptation, ecosystem services, and the livelihood of local people. The effects of human and natural change drivers on key landscape characteristics of Arctic wetlands may be critical for ecosystem resilience, with some functional aspects still poorly understood. This paper reviews the scientific literature on change drivers for Arctic wetland landscapes, seeking to identify the main studied interactions among different drivers and landscape characteristics and their changes, as well as emerging research gaps in this context. In a total of 2232 studies of various aspects of Arctic wetland landscapes found in the literature, natural drivers and climate change have been the most studied change drivers so far, particularly regarding their impacts on carbon cycling, plant communities and biodiversity. In contrast, management plans, land use changes, and nutrient-pollutant loading, have not been investigated as much as human drivers of Arctic wetland change. This lack of study highlights essential gaps in wetland related research, and between such research and management of Arctic wetlands.

Show all publications by Samaneh Seifollahi at Stockholm University

Last updated: June 26, 2020

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