World's Best Scientists 2026 revealed!
Ronny Berndtsson

Ronny Berndtsson

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Earth Science
Sweden
2026

D-Index & Metrics

Earth Science

D-Index
64
Citations
11765
World Ranking
1539
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Earth Science in Sweden Leader Award
  • 2025 - Research.com Earth Science in Sweden Leader Award

Overview

Ronny Berndtsson is affiliated with Lund University in Sweden and has contributed extensively to environmental science research, focusing predominantly on hydrology and related subfields. Their body of work encompasses a variety of aspects within environmental engineering, water science and technology, soil science, and geochemistry.

The main fields of study for Ronny Berndtsson include:

  • Environmental Science

The scientist's subfields of focus consist of:

  • Global and Planetary Change
  • Environmental Engineering
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology

Research topics covered in their publications highlight a concentration on hydrological processes and environmental impact assessments. These topics are:

  • Hydrology and Watershed Management Studies
  • Groundwater and Isotope Geochemistry
  • Flood Risk Assessment and Management
  • Groundwater flow and contamination studies
  • Soil erosion and sediment transport
  • Soil and Unsaturated Flow
  • Hydrology and Drought Analysis

Recent notable publications by Ronny Berndtsson include:

  • Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors, 2020, Journal of Hydrology
  • Application of remote sensing techniques and machine learning algorithms in dust source detection and dust source susceptibility mapping, 2020, Ecological Informatics
  • Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data, 2020, Remote Sensing
  • Use of Heavy Metal Content and Modified Water Quality Index to Assess Groundwater Quality in a Semiarid Area, 2020, Water
  • Urban Flood-Risk Assessment: Integration of Decision-Making and Machine Learning, 2022, Sustainability

Ronny Berndtsson has coauthored numerous papers with several researchers, with the most frequent collaborators including:

  • Kei Nakagawa
  • Jianzhi Niu
  • Hossein Hashemi
  • Linus Zhang
  • Sami Ghordoyee Milan

The scientist's work has been published primarily in the following venues:

  • Water
  • Sustainability
  • SSRN Electronic Journal
  • Journal of Hydrology
  • Remote Sensing

Best Publications

  • Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application

    A. M. Kalteh;P. Hjorth;R. Berndtsson

  • A critical review on the application of the National Sanitation Foundation Water Quality Index

    Roohollah Noori;Ronny Berndtsson;Majid Hosseinzadeh;Jan Franklin Adamowski

  • Hydrological Response to Climate Change for Gilgel Abay River, in the Lake Tana Basin - Upper Blue Nile Basin of Ethiopia

    Yihun Taddele Dile;Ronny Berndtsson;Shimelis G. Setegn

  • Protozoan Parasites in Drinking Water: A System Approach for Improved Water, Sanitation and Hygiene in Developing Countries.

    Alua Omarova;Kamshat Tussupova;Ronny Berndtsson;Marat Kalishev

  • Fractal Analysis of High-Resolution Rainfall Time Series

    Jonas Olsson;Janusz Niemczynowicz;Ronny Berndtsson

  • Drivers of changing urban flood risk : A framework for action

    Ronny Berndtsson;Per Becker;Andreas Persson;Henrik Aspegren

  • Re-thinking urban flood management-time for a regime shift

    Johanna Sörensen;Andreas Persson;Catharina Sternudd;Henrik Aspegren

  • Multifractal Properties of Daily Rainfall in Two Different Climates

    C. Svensson;J. Olsson;R. Berndtsson

  • Soil water and temperature patterns in an arid desert dune sand

    Ronny Berndtsson;Kanichi Nodomi;Hiroshi Yasuda;Thomas Persson

  • Multi-criteria Decision Analysis (MCDA) for Integrated Water Resources Management (IWRM) in the Lake Poopo Basin, Bolivia

    Andrés Calizaya;Oliver Meixner;Lars Bengtsson;Ronny Berndtsson

  • Potential fresh water saving using greywater in toilet flushing in Syria

    Khaldoon A. Mourad;Justyna Czemiel Berndtsson;Ronny Berndtsson

  • Effects of surface characteristics on infiltration patterns in an arid shrub desert

    Xin-Ping Wang;Xin-Rong Li;Hong-Lang Xiao;Ronny Berndtsson

  • Evidence of chaos in the rainfall-runoff process

    Bellie Sivakumar;Ronny Berndtsson;Jonas Olsson;Kenji Jinno

  • Assessment of soil salinization risks under irrigation with brackish water in semiarid Tunisia

    Fethi Bouksila;Akissa Bahri;Ronny Berndtsson;Magnus Persson

  • Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors

    Seyed Amir Naghibi;Hossein Hashemi;Ronny Berndtsson;Saro Lee

  • Comparison between rainfall simulator erosion and observed reservoir sedimentation in an erosion-sensitive semiarid catchment

    Yasser Hamed;Jean Albergel;Yannick Pépin;Jean Asseline

  • Spatial and temporal scales in rainfall analysis ― some aspects and future perspectives

    Ronny Berndtsson;Janusz Niemczynowicz

  • Simplified Two-Parameter Gamma Distribution for Derivation of Synthetic Unit Hydrograph

    P. K. Bhunya;S. K. Mishra;Ronny Berndtsson

  • Temporal characteristics of groundwater chemistry affected by the 2016 Kumamoto earthquake using self-organizing maps

    Kei Nakagawa;Zhi Qiang Yu;Ronny Berndtsson;Takahiro Hosono

  • Desert shrub stemflow and its significance in soil moisture replenishment

    Xinping Wang;Xinping Wang;Z. N. Wang;Ronny Berndtsson;Y. F. Zhang

  • Suitability of Gamma, Chi-square, Weibull, and Beta distributions as synthetic unit hydrographs

    P.K. Bhunya;Ronny Berndtsson;C.S.P. Ojha;S.K. Mishra

  • Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater

    Alireza Motevalli;Alireza Motevalli;Seyed Amir Naghibi;Seyed Amir Naghibi;Hossein Hashemi;Ronny Berndtsson

  • Identification of typical synoptic patterns causing heavy rainfall in the rainy season in Japan by a Self-Organizing Map

    Koji Nishiyama;Shinichi Endo;Kenji Jinno;Cintia Bertacchi Uvo

  • Monthly runoff simulation: Comparing and combining conceptual and neural network models

    Patrik Nilsson;Cintia Bertacchi Uvo;Ronny Berndtsson

Frequent Co-Authors

Bellie Sivakumar
Bellie Sivakumar Indian Institute of Technology Bombay
Surendra Kumar Mishra
Surendra Kumar Mishra Indian Institute of Technology Roorkee
Lars Bengtsson
Lars Bengtsson Lund University
Xin-ping Wang
Xin-ping Wang Chinese Academy of Sciences
Kaveh Madani
Kaveh Madani Yale University
Bjørn Kløve
Bjørn Kløve University of Oulu
Jan Adamowski
Jan Adamowski McGill University
Rolf Larsson
Rolf Larsson Uppsala University
Xinrong Li
Xinrong Li Chinese Academy of Sciences
Magnus Larson
Magnus Larson Lund University

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