Zobrazeno 1 - 10
of 99
pro vyhledávání: '"hydrological uncertainty"'
Autor:
Xiaozhou Sun, Majid Khayatnezhad
Publikováno v:
Water Supply, Vol 21, Iss 8, Pp 4391-4403 (2021)
Water allocation in agricultural lands, optimal design of hydraulic structures and climatic phenomena are the events in water management science that face hydrological uncertainties. The purpose of this study is to estimate the characteristics of sur
Externí odkaz:
https://doaj.org/article/40e776afee804f78952fcca4f44424a9
Akademický článek
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Publikováno v:
Frontiers in Water, Vol 4 (2022)
Probabilistic forecasting is receiving growing attention nowadays in a variety of applied fields, including hydrology. Several machine learning concepts and methods are notably relevant toward addressing the major challenges of formalizing and optimi
Externí odkaz:
https://doaj.org/article/f8144b393e044e99965cb5c7727c4f45
Akademický článek
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Akademický článek
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Publikováno v:
Water, Vol 13, Iss 23, p 3420 (2021)
Predictive uncertainty in hydrological modelling is quantified by using post-processing or Bayesian-based methods. The former methods are not straightforward and the latter ones are not distribution-free (i.e., assumptions on the probability distribu
Externí odkaz:
https://doaj.org/article/feacc0d3c17741a0bdbf38f195cab12d
Publikováno v:
Sustainability; Volume 15; Issue 12; Pages: 9197
Freshwater reservoirs are widely recognized as methane (CH4) emission hotspots. Existing research has shown that temperature and hydrological conditions significantly affect wetland CH4 cycling processes. However, the feedback of the CH4 cycle to cli
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 333 (2021)
Hydrological signatures, i.e., statistical features of streamflow time series, are used to characterize the hydrology of a region. A relevant problem is the prediction of hydrological signatures in ungauged regions using the attributes obtained from
Externí odkaz:
https://doaj.org/article/abf518ea04254c32ac9f842d717c67cc
Addressing the Effects of Climate Change on Modeling Future Hydroelectric Energy Production in Chile
Publikováno v:
Energies, Vol 14, Iss 1, p 241 (2021)
Despite the growing scientific evidence, the electricity market models used in Chile do not consider the effects of climate change on hydroelectric energy production. Based on a statistical analysis of the historical hydro-energy inflow dataset and a
Externí odkaz:
https://doaj.org/article/57c7431d739f4e488dd91c1a75f65066
Publikováno v:
Water, Vol 12, Iss 11, p 3138 (2020)
In the process of hydrological forecasting, there are uncertainties in data input, model parameters, and model structure, which cause a deterministic forecasting to fail to provide useful risk information to decision-makers. Therefore, the study of e
Externí odkaz:
https://doaj.org/article/1373a8325bc54041b6d1460096aec528