[HTML][HTML] A global-scale investigation of stochastic similarities in marginal distribution and dependence structure of key hydrological-cycle processes

P Dimitriadis, D Koutsoyiannis, T Iliopoulou… - Hydrology, 2021 - mdpi.com
To seek stochastic analogies in key processes related to the hydrological cycle, an extended
collection of several billions of data values from hundred thousands of worldwide stations is …

[HTML][HTML] Response of net primary productivity of vegetation to drought: A case study of Qinba Mountainous area, China (2001–2018)

T He, X Dai, W Li, J Zhou, J Zhang, C Li, T Dai, W Li… - Ecological …, 2023 - Elsevier
Drought can significantly affect the carbon cycle of ecosystems. The Qinba Mountains region
has a high potential for developing carbon sink forestry due to its strong carbon fixation …

Generative deep learning for probabilistic streamflow forecasting: Conditional variational auto-encoder

MS Jahangir, J Quilty - Journal of Hydrology, 2024 - Elsevier
Probabilistic hydrological forecasting has gained increasing importance in recent years, as it
offers essential information for risk-based decision-making and flood management …

Heterogeneity and connection in the spatial–temporal evolution trend of China's energy consumption at provincial level

X Cao, C Liu, M Wu, Z Li, Y Wang, Z Wen - Applied Energy, 2023 - Elsevier
Due to insufficient consideration of the provincial heterogeneity and connection in energy
consumption, some “one-size-fits-all” energy policies in China are inefficient and ineffective …

Large‐domain multisite precipitation generation: Operational blueprint and demonstration for 1,000 sites

SM Papalexiou, F Serinaldi… - Water Resources …, 2023 - Wiley Online Library
Stochastic simulations of spatiotemporal patterns of hydroclimatic processes, such as
precipitation, are needed to build alternative but equally plausible inputs for water‐related …

Evaluating participatory modeling methods for co‐creating pathways to sustainability

EA Moallemi, FJ de Haan, M Hadjikakou… - Earth's …, 2021 - Wiley Online Library
The achievement of global sustainability agendas, such as the Sustainable Development
Goals, relies on transformational change across society, economy, and environment that are …

Predict water quality using an improved deep learning method based on spatiotemporal feature correlated: a case study of the Tanghe Reservoir in China

M Han, Z Su, X Na - Stochastic Environmental Research and Risk …, 2023 - Springer
The ecological health of water quality is an essential factor in the survival and development
of human beings. By setting up multiple sensors in the water body, people observe the …

Identifying causal interactions between groundwater and streamflow using convergent cross‐mapping

G Bonotto, TJ Peterson, K Fowler… - Water Resources …, 2022 - Wiley Online Library
Groundwater (GW) is commonly conceptualized as causally linked to streamflow (SF).
However, confirming where and how it occurs is challenging given the expense of …

[HTML][HTML] Research on the fine-scale spatial-temporal evolution characteristics of carbon emissions based on nighttime light data: A case study of Xi'an city

Y Zhang, J Quan, Y Kong, Q Wang, Y Zhang… - Ecological Informatics, 2024 - Elsevier
Carbon emissions have resulted in severe ecological damage, jeopardizing the very
existence of humanity. In China, carbon emissions from urban areas contribute to 80% of the …

[HTML][HTML] Greenhouse temperature prediction based on time-series features and lightgbm

Q Cao, Y Wu, J Yang, J Yin - Applied Sciences, 2023 - mdpi.com
A method of establishing a prediction model of the greenhouse temperature based on time-
series analysis and the boosting tree model is proposed, aiming at the problem that the …