Zahra Kalantari

Associate Professor

Royal Institute of Technology

Sweden

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Dr. Zahra Kalantari is an Associate Professor at the Royal Institute of Technology in Sweden. Her research focuses on social resilience in tropical forest ecosystems, hydroclimatic hazard impacts, and advanced modeling techniques for flood susceptibility. Additionally, she explores sustainable water management in horticulture and the role of nature-based solutions in urban environments, contributing to carbon neutrality and ecosystem service delivery.

Articles (19)

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2025

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2023

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2023

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2023

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2022

Collaborators (9)

Fatemeh Rezaie

University of Hawaii at Manoa

UNITED STATES

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James Cooper

Professor

University of Liverpool

UNITED KINGDOM

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Antonio Ferreira

Professor Coordenador/Coordinator Professor

Instituto Politécnico de Coimbra Escola Superior de Educação de Coimbra

PORTUGAL

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Cong Cong

Lecturer

Massachusetts Institute of Technology

UNITED STATES

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Benedict Reinardy

KTH Royal Institute of Technology

SWEDEN

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Georgia Destouni

Professor

Stockholm University

SWEDEN

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Carla Ferreira

Stockholm University

SWEDEN

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Zipan Cai

KTH Royal Institute of Technology

SWEDEN

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stephan barthel

Professor

SWEDEN

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Zahra Kalantari

Research Interests

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About

Articles (19)

Estimation of cascading hydroclimatic hazard impacts on supply systems and associated economic shocks

Social resilience of tropical forest ecosystems: A systematic review of core principles and their application

Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling

A holistic framework for wetland placement and ecosystem service delivery by integrating landscape connectivity and participatory decision analysis in two Swedish catchments

Sustainable Water Management in Horticulture: Problems, Premises, and Promises

A shallow water numerical method for assessing impacts of hydrodynamics and nutrient transport processes on water quality values of Lake Victoria

Comparison of three group decision-making frameworks for evaluating resilience time series of water resources systems under uncertainty

Evaluating Machine Learning-Based Approaches in Land Subsidence Susceptibility Mapping

Phytoremediation by trees as a nature-based solution for mitigating metal contamination in urban soils

Contribution of prioritized urban nature-based solutions allocation to carbon neutrality

Proof of evidence of changes in global terrestrial biomes using historic and recent NDVI time series

Infectious Disease Sensitivity to Climate and Other Driver‐Pressure Changes: Research Effort and Gaps for Lyme Disease and Cryptosporidiosis

Soil water erosion susceptibility assessment using deep learning algorithms

Soil water erosion susceptibility assessment using deep learning algorithms

Modeling place-based nature-based solutions to promote urban carbon neutrality

Nature-based solutions to global environmental challenges

Towards quantification of soil conservation performance using sediment connectivity concept at hillslope scale: proposing a new framework for data-scarce regions

Water-related conflict and cooperation events worldwide: A new dataset on historical and change trends with potential drivers

Use of Landsat 8 and UAV Images to Assess Changes in Temperature and Evapotranspiration by Economic Trees following Foliar Spraying with Light-Reflecting Compounds

Collaborators (9)

Fatemeh Rezaie

James Cooper

Antonio Ferreira

Cong Cong

Benedict Reinardy

Georgia Destouni

Carla Ferreira

Zipan Cai

stephan barthel

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