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Environmental Sciences

D-Index
66
Citations
24730
World Ranking
2034
National Ranking
58

Overview

Karim C. Abbaspour is affiliated with the Swiss Federal Institute of Aquatic Science and Technology in Switzerland. Their research mainly focuses on Environmental Science, with a specific emphasis on areas such as Water Science and Technology, Global and Planetary Change, Environmental Engineering, Environmental Chemistry, and Soil Science.

The scientist's primary fields of study include:

  • Water Science and Technology
  • Global and Planetary Change
  • Environmental Engineering
  • Environmental Chemistry
  • Soil Science

They have contributed extensively to research topics related to:

  • Hydrology and Watershed Management Studies
  • Soil and Water Nutrient Dynamics
  • Flood Risk Assessment and Management
  • Hydrology and Drought Analysis
  • Soil erosion and sediment transport
  • Groundwater flow and contamination studies
  • Water resources management and optimization

Among their recent papers are:

  • "An interactive graphical interface tool for parameter calibration, sensitivity analysis, uncertainty analysis, and visualization for the Soil and Water Assessment Tool," 2022, Environmental Modelling & Software
  • "Assessment of changes in water conservation capacity under land degradation neutrality effects in a typical watershed of Yellow River Basin, China," 2023, Ecological Indicators
  • "Changes in water conservation and possible causes in the Yellow River Basin of China during the recent four decades," 2024, Journal of Hydrology
  • "The fallacy in the use of the "best-fit" solution in hydrologic modeling," 2021, The Science of The Total Environment
  • "Spatiotemporal Modelling of Water Balance Components in Response to Climate and Landuse Changes in a Heterogeneous Mountainous Catchment," 2021, Water Resources Management

These publications have appeared in multiple journals, with frequent appearances in:

  • Journal of Hydrology
  • Ecological Indicators
  • The Science of The Total Environment
  • SSRN Electronic Journal
  • Environmental Modelling & Software

Collaboration plays a notable role in their research output. The most frequent co-authors include:

  • Lingfeng Zhou
  • Yaobin Meng
  • Hong Yang
  • Depeng Zuo
  • Zongxue Xu

Best Publications

  • SWAT: Model Use, Calibration, and Validation

    J. G. Arnold;Daniel N. Moriasi;P. W. Gassman;K. C. Abbaspour

  • Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT

    Karim C. Abbaspour;Jing Yang;Ivan Maximov;Rosi Siber

  • A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model

    K.C. Abbaspour;E. Rouholahnejad;S. Vaghefi;R. Srinivasan

  • Estimating Uncertain Flow and Transport Parameters Using a Sequential Uncertainty Fitting Procedure

    K. C. Abbaspour;C. A. Johnson;M. Th. van Genuchten

  • Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China

    Jing Yang;Peter Reichert;K.C. Abbaspour;Jun Xia

  • Assessing the impact of climate change on water resources in Iran

    Karim C. Abbaspour;Monireh Faramarzi;Samaneh Seyed Ghasemi;Hong Yang

  • Statistical modeling of global geogenic fluoride contamination in groundwaters.

    Manouchehr Amini;Kim Mueller;Karim C. Abbaspour;Thomas Rosenberg

  • Estimation of freshwater availability in the West African sub-continent using the SWAT hydrologic model

    Jürgen Schuol;Karim C. Abbaspour;Raghavan Srinivasan;Hong Yang

  • Modeling blue and green water availability in Africa

    Jiirgen Schuol;Jiirgen Schuol;Karim C. Abbaspour;Hong Yang;Raghavan Srinivasan

  • Statistical Modeling of Global Geogenic Arsenic Contamination in Groundwater

    Manouchehr Amini;Karim C. Abbaspour;Michael Berg;Lenny Winkel

  • Modelling blue and green water resources availability in Iran

    Monireh Faramarzi;Karim C. Abbaspour;Rainer Schulin;Hong Yang

  • A Guideline for Successful Calibration and Uncertainty Analysis for Soil and Water Assessment: A Review of Papers from the 2016 International SWAT Conference

    Karim C. Abbaspour;Saeid Ashraf Vaghefi;Raghvan Srinivasan

  • Application of a SWAT model for estimating runoff and sediment in two mountainous basins in central Iran

    Rokhsare Rostamian;Aazam Jaleh;Majid Afyuni;Seyed Farhad Mousavi

  • Virtual water trade: an assessment of water use efficiency in the international food trade

    H. Yang;L. Wang;K. C. Abbaspour;A. J. B. Zehnder

  • A Water Resources Threshold and Its Implications for Food Security

    Hong Yang;Peter Reichert;Karim C. Abbaspour;Alexander J. B. Zehnder

  • Estimating unsaturated soil hydraulic parameters using ant colony optimization

    K.C. Abbaspour;R. Schulin;M.Th. van Genuchten

  • Modeling impacts of climate change on freshwater availability in Africa

    Monireh Faramarzi;Karim C. Abbaspour;Saeid Ashraf Vaghefi;Saeid Ashraf Vaghefi;Mohammad Reza Farzaneh

  • The future of extreme climate in Iran.

    Saeid Ashraf Vaghefi;Malihe Keykhai;Farshid Jahanbakhshi;Farshid Jahanbakhshi;Jaleh Sheikholeslami

  • Hydrological modelling of the Chaohe Basin in China: Statistical model formulation and Bayesian inference

    Jing Yang;Peter Reichert;Karim C. Abbaspour;Hong Yang

  • A sequential uncertainty domain inverse procedure for estimating subsurface flow and transport parameters

    K. C. Abbaspour;M. T. van Genuchten;R. Schulin;E. Schläppi

Frequent Co-Authors

Hong Yang
Hong Yang Swiss Federal Institute of Aquatic Science and Technology
Anthony Lehmann
Anthony Lehmann University of Geneva
Raghavan Srinivasan
Raghavan Srinivasan Texas A&M University
Rainer Schulin
Rainer Schulin ETH Zurich
Christian Folberth
Christian Folberth International Institute for Applied Systems Analysis
Zongxue Xu
Zongxue Xu Beijing Normal University
Alexander J. B. Zehnder
Alexander J. B. Zehnder Swiss Federal Institute of Aquatic Science and Technology
Jinxi Song
Jinxi Song Northwest University
Junguo Liu
Junguo Liu North China University of Water Conservancy and Electric Power

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