Computational Ecohydrology
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Ecohydrology".
Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 3254
Special Issue Editor
Interests: Ecohydrology; Sensitivity and uncertainty analysis of water quality mitigation approaches to address climate change; Environmental impact assessment; Soft computing applications in water resources; Development of decision support systems (DSSs) for the evaluation of human impact on ecosystem sustainability; Evaluation and development of watershed/water quality models
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, access to more large data sets obtained from increased monitoring and novel modeling techniques has opened new opportunities to assess natural systems, particularly in the ecological and hydrological sciences. Ecohydrology is the nexus of these two fields, and has the goal of defining ecological patterns using the hydrological characteristics of streamflow. Computational ecohydrology harnesses big data in order to more effectively describe these inferences at increasingly large spatial and temporal scales. The aim of this Special Issue is to describe and synthesize some of the most recent research in this area. Topics of interest include but are not limited to:
- Using advanced big data/statistical/machine learning approaches to derive novel insights into ecohydrological processes;
- Addressing scale issues spanning regional to local scales using novel data and analytics approaches;
- Using sensor networks, remote sensing, crowd sourcing, and/or model outputs for environmental impact assessments;
- Analyzing satellite images to identify key features relevant to hydrologic modeling.
Dr. A. Pouyan Nejadhashemi
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- ecohydrology
- sensor networks
- big data
- crowd sourcing
- remote sensing
- forecasting
- coupled modeling
- water management and planning
- uncertainties
- environmental impact assessments
