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WP1 – Coordination and Management
Objectives: Effective Coordination and Management of the project. Description of Work: WP1 will deal with the overall financial, administrative, and operational management of the project
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WP2 – Development of Digital Twin
Objectives: Evaluation, improvement, adaptation, and integration of algorithms for the various components and development of the Digital Twin, which is the core of DT-Agro. Description
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WP3 – Earth Observation
Description of Work: EO data sources and techniques relevant to the scope of DT-Agro will be identified and evaluated. Then data acquisition, processing, and input
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WP4 – Pilot application
Objectives: Pilot application of DT-Agro in Greece, calibration, validation and general evaluation of the digital twin, and assessment of historical and current conditions and future
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WP5 – Information Services
Objectives: Identification and adaptation of effective data analysis techniques for the utilization of the huge amounts of data originating from DT-Agro and earth observations. Analysis
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WP6 – Dissemination – Communication
Objectives: The main objective of this WP is to maximize the impact of the project and to enable the pathway of transition to digital and
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Poster Presentation at the 5ᵗʰ Congress of Geographical Information Systems and Spatial Analysis in Agriculture and Environment
Spatially Explicit Digital Twin of the Greek Agro-Hydro-System DT-Agro This paper presents the DT-Agro project which aims to develop a spatially defined Digital Twin of the Greek agricultural and hydrological system that will function as an effective tool that will merge at various scales the main components of the water-soil-food-environment energy nexus system.
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Presentation at the EGU 2024
SCS-CN parameter determination from observed rainfall runoff data. A critical review. Konstantinos Soulis, Stergia Palli Gravani, and Dionissios Kalivas Agricultural University of Athens, Natural Resources Management and Agricultural Engineering, Athens, Greece (soco@aua.gr) One the most difficult challenges in applied hydrology is predicting runoff in ungauged or poorly gauged watersheds. Thus, simple approaches for runoff estimation are especially useful in hydrologic applications. A simple, well established, and widely used technique for predicting the direct runoff depths of rainfall events is the Soil Conservation Service – Curve Number (SCS-CN) method. Due to its straightforward but well-proven approach, readily available and well documented environmental inputs, and incorporation of numerous variables influencing runoff generation into a single CN parameter, it quickly rose to prominence among engineers and practitioners. Tables can be used to identify the CN parameter values corresponding to prevailing soil, land cover and land management conditions. However, it is always better to estimate the CN value using observed rainfall-runoff (P-Q) data when available. Estimating appropriate CN values for additional soil – land cover conditions and additional regions is also critical for extending and updating the method’s documentation given that the SCS-CN approach is extremely sensitive to variations in the CN values.
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