A5051188647- Urban Stormwater Management Solutions
- Urban Heat Island Mitigation
- Wastewater Treatment and Reuse
- Constructed Wetlands for Wastewater Treatment
- Flood Risk Assessment and Management
- Urban Green Space and Health
- Land Use and Ecosystem Services
- Wastewater Treatment and Nitrogen Removal
- Membrane Separation Technologies
- Water Systems and Optimization
- Membrane-based Ion Separation Techniques
- Atmospheric chemistry and aerosols
- Climate Change and Health Impacts
- Microbial Fuel Cells and Bioremediation
- Energy and Environment Impacts
- Hydrology and Drought Analysis
- Climate variability and models
- Greenhouse Technology and Climate Control
- Wildlife-Road Interactions and Conservation
- Smart Grid Energy Management
- Hybrid Renewable Energy Systems
- Water resources management and optimization
- Dye analysis and toxicity
- Child Nutrition and Water Access
- Hydrological Forecasting Using AI
UNSW Sydney
2018-2024
University of Belgrade
2024
Institute for Multidisciplinary Research
2024
Sydney Water
2021
Monash University
2017-2018
Cooperative Research Centre for Water Sensitive Cities
2017
Abstract Nature-based solutions (NBS) harness ecosystem services for urban enhancement, promoting biodiversity, habitat creation, and water management while improving human well-being. However, decision-making often favours specific NBS designs, leading to uneven benefits distribution. Whereas human-centric design relies on convenience, financial sustainability, historical aspects, amenity increase through technical solutions, flora- fauna-centric (or eco-centric) targets spatial...
Green walls offer a novel on-site approach for greywater treatment and reuse in densely build urban environments. However, they need to be engineered effective removal of wide range emerging contaminants such as xenobiotic organic compounds (XOCs), which may present due extensive use personal care products household chemicals. This study used laboratory column design batch experiments investigate the performance three lightweight green wall media (coco coir, zeolite, perlite) their mixture...
Abstract Historic relationships between communities and waterscapes are complex often explained solely in technical terms. There is a key need to understand how human-centered developments have shifted the use of river spaces over time, these changes reflect on values rivers surrounding cultures. In this paper, we develop critical analysis historically changing relationship urban water infrastructures using Georges River catchment Sydney, Australia. Our focus was bringing together past...
Planning for future urban development and water infrastructure is uncertain due to changing human activities climate. To quantify these changes, we need adaptable fast models that can reliably explore scenarios without requiring extensive data inputs. While such have been recently considered development, they are lacking stormwater pollution assessment. This work proposes a novel Future Urban Stormwater Simulation (FUSS) model, utilizing previously developed planning algorithm (UrbanBEATS)...
Abstract Strategic placement of water-sensitive urban design (WSUD) is essential in optimising its performance and maximising co-benefits. However, little known about the current interconnectedness between WSUD assets planning strategies. We evaluated existing WSUDs a highly urbanised catchment Sydney, Australia. used three-step process: (1) compiling comprehensive spatial asset database, (2) performing correlation analysis locations biophysical, form socioeconomic variables (3) using novel...
Anaerobic treatment of domestic wastewater has the advantages lower biomass yield, energy demand and higher recover over conventional aerobic process. However, anaerobic process inherent issues excessive phosphate sulfide in effluent superfluous H2S CO2 biogas. An electrochemical method allowing for in-situ generation Fe2+ anode hydroxide ion (OH-) H2 cathode was proposed to overcome challenges simultaneously. The effect electrochemically generated iron (e‑iron) on performance explored with...
Abstract In the context of escalating global energy demands, urban areas, specifically building sector, contribute to largest consumption, with overheating exacerbating this issue. Utilizing modelling for heat-mitigation and reduction demand is crucial steps towards a sustainable built-environment, complementing onsite generation in design development Net-zero Energy (NZE) Settlement, especially Australian weather conditions. Addressing significant gap existing literature, study offers...
This study evaluates three Machine Learning (ML) models-Temporal Kolmogorov-Arnold Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional (TCN)-focusing on their capabilities to improve prediction accuracy efficiency in streamflow forecasting. We adopt a data-centric approach, utilizing large, validated datasets train the models, apply SHapley Additive exPlanations (SHAP) enhance interpretability reliability of ML models. The results show that TKAN outperforms LSTM but...