A5026830330- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Transboundary Water Resource Management
- Climate variability and models
- Water-Energy-Food Nexus Studies
- Career Development and Diversity
- Water resources management and optimization
- Marine and environmental studies
- Innovative Approaches in Technology and Social Development
- Health and Medical Research Impacts
- Water management and technologies
- Climate change impacts on agriculture
- Complex Systems and Time Series Analysis
- Soil and Water Nutrient Dynamics
- Rangeland Management and Livestock Ecology
- Infrastructure Maintenance and Monitoring
- Irrigation Practices and Water Management
- Electric Power System Optimization
- Time Series Analysis and Forecasting
- Delphi Technique in Research
- Sustainability and Climate Change Governance
- Chaos control and synchronization
- Energy and Environment Impacts
The University of Melbourne
2014-2024
Centre of Natural Hazards and Disaster Science
2022-2023
Uppsala University
2022-2023
KTH Royal Institute of Technology
2022
Bolin Centre for Climate Research
2020-2021
Stockholm University
2020-2021
Environmental and Water Resources Engineering
2012-2015
Japan External Trade Organization
2014
Abstract Uncertainty analysis is an integral part of any scientific modeling, particularly within the domain hydrological sciences given various types and sources uncertainty. At center uncertainty rests concept equifinality , that is, reaching a endpoint ( finality ) through different pathways. The operational definition in modeling model structures and/or parameter sets (i.e., equal pathways are equally capable reproducing similar (not necessarily identical) outcome finality). Here we...
The new scientific decade (2023-2032) of the International Association Hydrological Sciences (IAHS) aims at searching for sustainable solutions to undesired water conditions - may it be too little, much or polluted. Many current issues originate from global change, while problems must embrace local understanding and context. will explore crises by actionable knowledge within three themes: interactions, innovative cross-cutting methods. We capitalise on previous IAHS Scientific Decades...
The achievement of global sustainability agendas, such as the Sustainable Development Goals, relies on transformational change across society, economy, and environment that are co-created in a transdisciplinary exercise by all stakeholders. Within this context, environmental societal is increasingly understood represented via participatory modeling for genuine engagement with multiple collaborators process. Despite diversity methods to promote co-creation, it remains uncertain what extent...
Abstract Advances in impact modeling and numerical weather forecasting have allowed accurate drought monitoring skilful forecasts that can drive decisions at the regional scale. State‐of‐the‐art early‐warning systems are currently based on statistical indicators, which do not account for dynamic vulnerabilities, hence neglect socio‐economic initiating actions. The transition from conventional physical of droughts toward impact‐based (IbF) is a recent paradigm shift early warning services, to...
Abstract. Droughts are often long-lasting phenomena, without a distinct start or end and with impacts cascading across sectors systems, creating long-term legacies. Nevertheless, our current perceptions management of droughts their event-based, which can limit the effective assessment drought risks reduction impacts. Here, we advocate for changing this perspective viewing as hydrological–ecological–social continuum. We take systems theory focus on how “memory” causes feedback interactions...
Abstract. Droughts are often long lasting phenomena, without a distinct start or end, and with impacts cascading across sectors systems, creating long-term legacies. Nevertheless, our current perception management of droughts their is event-based, which can limit the effective assessment drought risks reduction impacts. Here, we advocate for changing this perspective viewing as hydro-eco-social continuum. We take systems theory focus on how “memory” causes feedback interactions between parts...
The leaky pipeline phenomenon refers to the disproportionate decline of female scientists at higher academic career levels and is a major problem in natural sciences. Identifying underlying causes challenging, thus, solving remains difficult. To better understand reasons for pipeline, we assess perceptions impacts gender bias imbalance—two drivers leakage—at different with an anonymous survey geoscience academia (n=1,220). results show that both genders view male geoscientists as...
This paper applies HEC-HMS to the Karkheh River basin (KRB), Iran, and facilitates calibration of a continuous hydrologic model (CHM) with soil moisture accounting (SMA) snowmelt degree-day parameters. Manual was performed ensure physical relevance parameter values. Because manual entails changing each value in user-defined setting, it is often time-consuming procedure complicated by multitude interacting To address this setback, an event-based technique (EBCT) implemented KRB its interior...
Social (central) planning is normally used in the literature to optimize system-wide efficiency and utility of multi-operator systems. Central tries maximize system's benefits by coordinating operators' strategies reduce externalities, assuming that all parties are willing cooperate. This assumption implies operators base their decisions based on group rationality rather than individual rationality, even if increased results reduced for some agents. limits applicability social planner's...
To evaluate models as hypotheses, we developed the method of Flux Mapping to construct a hypothesis space based on dominant runoff generating mechanisms. Acceptable model runs, defined total simulated flow with similar (and minimal) error, are mapped given their components. In each modeling case, is result an interplay factors: structure and parameterization, chosen error metric, data information content. The aim this study disentangle role factor in evaluation. We used two structures...
Advances in impact modelling and numerical weather forecasting have allowed accurate drought monitoring skillful forecasts that can drive decisions at the regional scale. State-of-the-art early warning systems are currently based on statistical indicators, which do not account for vulnerabilities, hence neglect socio-economic initiating actions. The transition from conventional physical of droughts towards impact-based (IbF) is a recent paradigm shift services, to ultimately bridge gap...
The leaky pipeline phenomenon refers to the disproportionate decline of female scientists at higher academic career levels and is a major problem in natural sciences. Identifying underlying causes challenging, thus, solving remains difficult. To better understand reasons for pipeline, we assess perceptions impacts gender bias imbalance—two drivers leakage—at different with an anonymous survey geoscience academia (n=1,220). results show that both genders view male geoscientists as...
The achievement of global sustainability agendas, such as the Sustainable Development Goals, relies on transformational change across society, economy, and environment that are co-created in a transdisciplinary exercise by all stakeholders. Within this context, environmental societal is increasingly understood represented via participatory modelling for genuine engagement with multiple collaborators process. Despite diversity methods to promote co-creation, it remains uncertain what ideal...
Equifinality is understood as one of the fundamental difficulties in study open complex systems, including catchment hydrology. A review hydrologic literature reveals that term equifinality has been widely used, but many cases inconsistently and without coherent recognition various facets equifinality, which can lead to ambiguity also methodological fallacies. Therefore, this we first characterise within context hydrological modelling by reviewing genesis concept then presenting a...
<p>A long-standing research issue, in the hydrological sciences and beyond, is that of developing methods to evaluate predictive/forecasting skill, errors uncertainties a model (or ensembles). Various have been proposed for characterising time series residuals, i.e. differences between observed target) modelled estimate) series. Most notably, Taylor Diagram summarises performance via single plot based on three related metrics: (linear Pearson) correlation, standard deviation,...