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Single-objective and multi-objective flood interval forecasting considering interval fitting coefficients
X Chang, J Guo, H Qin, J Huang, X Wang… - Water Resources …, 2024 - Springer
Human activities and climate change have exacerbated the frequency of extreme weather
events such as rainstorms and floods, which makes it difficult to accurately quantify the …
events such as rainstorms and floods, which makes it difficult to accurately quantify the …
Comparison of Machine Learning Models in Simulating Glacier Mass Balance: Insights from Maritime and Continental Glaciers in High Mountain Asia
Accurately simulating glacier mass balance (GMB) data is crucial for assessing the impacts
of climate change on glacier dynamics. Since physical models often face challenges in …
of climate change on glacier dynamics. Since physical models often face challenges in …
[HTML][HTML] Spatially non-stationarity relationships between high-density built environment and waterlogging disaster: Insights from xiamen island, china
Q Wang, R Zhao, N Wang - Ecological Indicators, 2024 - Elsevier
A profound comprehension of the relationship between the built environment and
waterlogging disasters in high-density urban areas is essential to improve urban resilience …
waterlogging disasters in high-density urban areas is essential to improve urban resilience …
[HTML][HTML] Predicting Gross Primary Productivity under Future Climate Change for the Tibetan Plateau Based on Convolutional Neural Networks
Gross primary productivity (GPP) is vital for ecosystems and the global carbon cycle, serving
as a sensitive indicator of ecosystems' responses to climate change. However, the impact of …
as a sensitive indicator of ecosystems' responses to climate change. However, the impact of …
[HTML][HTML] Soil and Water Assessment Tool (SWAT)-informed deep learning for streamflow forecasting with remote sensing and in situ precipitation and discharge …
In order to anticipate residual errors and improve accuracy while reducing uncertainties, this
work integrates the long short-term memory (LSTM) with the Soil and Water Assessment …
work integrates the long short-term memory (LSTM) with the Soil and Water Assessment …
Enhancing flood monitoring and prevention using machine learning and IoT integration
Floods subject human life, property, and infrastructure to the highest level of danger; hence,
proper monitoring with proper prevention action is necessary. This paper proposes a new …
proper monitoring with proper prevention action is necessary. This paper proposes a new …
Watershed water policy based on a glacier water service perspective in the typical glacier basins, Western China
Z Sun, S Wang, L Wang - Hydrology Research, 2024 - iwaponline.com
Abstract Taking the Yangtze River Source Basin (YRSB) and Shule River Basin (SRB) as
two typical cases, the sustainability of the water resources in these two basins was …
two typical cases, the sustainability of the water resources in these two basins was …
Glacier mass change and evolution of Petrov Lake in the Ak-Shyirak massif, central Tien Shan, from 1973 to 2023 using multisource satellite data
Abstract Warming in the Third Pole region accelerates glacier and snow melt, leading to a
rise in glacial lake numbers and sizes. However, accurately measuring their water level …
rise in glacial lake numbers and sizes. However, accurately measuring their water level …
Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation
Understanding snow and ice melt dynamics is vital for flood risk assessment and effective
water resource management in populated river basins sourced in inaccessible high …
water resource management in populated river basins sourced in inaccessible high …
Spatial and temporal runoff variability in response to climate change in alpine mountains
B He, J Chang, A Guo, L Wang, Z Li, D Zhai, F Gao - Journal of Hydrology, 2025 - Elsevier
The sensitivity of snow and glacier melt processes in alpine mountains to climate change,
along with the variations in snow and glacier distribution with elevation, can significantly …
along with the variations in snow and glacier distribution with elevation, can significantly …