Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Stelian Curceac"'
Autor:
Evangeline Corcoran, Mehdi Afshar, Stelian Curceac, Azam Lashkari, Muhammad Mohsin Raza, Sebastian Ahnert, Andrew Mead, Richard Morris
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 7 (2023)
Identifying and implementing management actions that can mitigate the impacts of climate change on domestically grown crops is crucial to maintaining future food security for the United Kingdom (UK). Crop models serve as critical tools for assessing
Externí odkaz:
https://doaj.org/article/3def89698d444b279c4c99bba1e9b273
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Peak flow events can lead to flooding which can have negative impacts on human life and ecosystem services. Therefore, accurate forecasting of such peak flows is important. Physically-based process models are commonly used to simulate water flow, but
Externí odkaz:
https://doaj.org/article/1246fe41efd34ce68c92094d79827781
Publikováno v:
Journal of Hydrology. 598:126442
Accurate prediction of extreme flow events is important for mitigating natural disasters such as flooding. We explore and refine two modelling approaches (both separately and in combination) that have been demonstrated to improve the prediction of da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a644f7416af525e3b508191c4e9fa9ef
https://doi.org/10.1016/j.jhydrol.2021.126442
https://doi.org/10.1016/j.jhydrol.2021.126442
Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models
Publikováno v:
Environmental Modelling and Software
Environmental Modelling and Software, 2019, 111, pp.394-408. ⟨10.1016/j.envsoft.2018.09.017⟩
Environmental Modelling and Software, Elsevier, 2019, 111, pp.394-408. ⟨10.1016/j.envsoft.2018.09.017⟩
Environmental Modelling and Software, 2019, 111, pp.394-408. ⟨10.1016/j.envsoft.2018.09.017⟩
Environmental Modelling and Software, Elsevier, 2019, 111, pp.394-408. ⟨10.1016/j.envsoft.2018.09.017⟩
International audience; Air temperature is a significant meteorological variable that affects social activities and economic sectors. In this paper, a non-parametric and a parametric approach are used to forecast hourly air temperature up to 24 h in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::336f4544f260f58c732eef3056678a54
https://inria.hal.science/hal-02334991
https://inria.hal.science/hal-02334991
Projected changes to rainfall patterns may exacerbate existing risks posed by flooding. Furthermore, increased surface runoff from agricultural land increases pollution through nutrient losses. Agricultural systems are complex because they are manage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1f50f7df04e2011c3588a7546c07e9e
https://doi.org/10.1016/j.agwat.2021.107049
https://doi.org/10.1016/j.agwat.2021.107049
This study investigated core components of an extreme value methodology for the estimation of high-flow frequencies from agricultural surface water run-off. The Generalized Pareto distribution (GPD) was used to model excesses in time-series data that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06165314f1677ddc3fd7d6edf722db54
https://doi.org/10.1016/j.jhydrol.2020.124845
https://doi.org/10.1016/j.jhydrol.2020.124845