K
Karim C. Abbaspour
Researcher at Swiss Federal Institute of Aquatic Science and Technology
Publications - 158
Citations - 15678
Karim C. Abbaspour is an academic researcher from Swiss Federal Institute of Aquatic Science and Technology. The author has contributed to research in topics: Soil and Water Assessment Tool & Water resources. The author has an hindex of 50, co-authored 149 publications receiving 12814 citations. Previous affiliations of Karim C. Abbaspour include Texas A&M University.
Papers
More filters
Journal ArticleDOI
Black Sea Catchment Observation System as a Portal for GEOSS Community
Dorian Gorgan,Gregory Giuliani,Nicolas Ray,Anthony Lehmann,Pierluigi Cau,Karim C. Abbaspour,Karel Charvat,Andreja Jonoski +7 more
TL;DR: The paper highlights the issues on the implementation of the portal by heterogeneous technologies, in order to support control flow, processing, and visualization of spatial data for GEOSS community, Earth Science specialists, and generally for Web users.
Journal ArticleDOI
Relationships between conventional field information and some soil properties measured in the laboratory
Karim C. Abbaspour,David E. Moon +1 more
TL;DR: In this article, the results indicated that carbon content and water content at field capacity could be accurately estimated (R2 > 070) using field variables using a multiple regression equation for estimation of each laboratory variable.
Achieving high crop yields with low nitrogen emissions in global agricultural input intensification
Wenfeng Liu,Wenfeng Liu,Hong Yang,Hong Yang,Christian Folberth,Christoph Müller,Philippe Ciais,Karim C. Abbaspour,Rainer Schulin +8 more
TL;DR: This work explores ways of enhancing global yields, while avoiding significant nitrogen (N) emissions (Ne) emissions, by exploring a range of N and irrigation management scenarios by exploring the simulated responses of yields and Ne to increased N inputs and irrigation.
Journal ArticleDOI
Evaluation of spatial and temporal variability of snow cover in a large mountainous basin in iran
TL;DR: In this article, the authors used remote sensed data to simulate the spatial and temporal variations of snow cover characteristics in a mountainous basin and found that elevation is the single most important variable on large-scale snow variability.
Journal ArticleDOI
An Analysis of Economic Growth and Industrial Wastewater Pollution Relations in China
TL;DR: In this article, the authors investigated the relationship between income growth and the trend in industrial wastewater discharge in China during the period 1981-2007 and found that both inverted U-shaped and N-shaped EKC are statistically significant.