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A novel model for regional susceptibility mapping of rainfall-reservoir induced landslides in Jurassic slide-prone strata of western Hubei Province, Three Gorges Reservoir area
Springer Science and Business Media LLC - Tập 35 - Trang 1403-1426 - 2020
Jurassic facility-sliding strata have been identified as a fundamental factor affecting the occurrence of rainfall-reservoir induced landslides in western Hubei Province, China Three Gorges Reservoir area. Regional landslide susceptibility mapping is the most effective method for landslide prediction and mitigation. To solve the current problem of identifying the true landslides and non-landslides...... hiện toàn bộ
LSTM-CM: a hybrid approach for natural drought prediction based on deep learning and climate models
Springer Science and Business Media LLC - Tập 37 - Trang 2035-2051 - 2023
Droughts cause severe damage to the economy, society, and environment. Drought forecasting plays an important role in establishing mitigation drought damage plans. In this study, a hybrid model involving long short-term memory and a climate model (LSTM-CM) is constructed for drought prediction. LSTM-CM was compared to the long short-term model stand-alone (LSTM-SA) and climate prediction model Glo...... hiện toàn bộ
Multi-scale reconstruction of porous media based on progressively growing generative adversarial networks
Springer Science and Business Media LLC - - 2022
Merging ground and satellite-based precipitation data sets for improved hydrological simulations in the Xijiang River basin of China
Springer Science and Business Media LLC - Tập 33 - Trang 1893-1905 - 2019
Watershed management, disaster warning, and hydrological modeling require accurate spatiotemporal precipitation data sets. This paper presents a comprehensive assessment of a gauge-satellite-based precipitation product that merges the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) satellite precipitation product (SPP) a...... hiện toàn bộ
Enhancing flood prediction in Southern West Bengal, India using ensemble machine learning models optimized with symbiotic organisms search algorithm
Springer Science and Business Media LLC - - 2024
In regions with limited flow and catchment data needed for the configuration and calibration of hydraulic and hydrological models, employing spatial flood modeling and mapping enables authorities to predict the spatial extent and severity of floods. This study leveraged flood inventory data, coupled with various conditional variables, to formulate a novel Ensemble model. This ensemble model combin...... hiện toàn bộ
Upscaling bimolecular reactive transport in highly heterogeneous porous media with the LAgrangian Transport Eulerian Reaction Spatial (LATERS) Markov model
Springer Science and Business Media LLC - Tập 35 - Trang 1529-1547 - 2021
The LAgrangian Transport Eulerian Reaction Spatial (LATERS) Markov model was developed to predict upscaled bimolecular reactive transport in a flow around an array of solid cylinders. This method combines the stochastic Lagrangian Spatial Markov model (SMM) to predict transport and a volume averaged reaction rate equation to predict reactions of the form
...... hiện toàn bộ
Disaggregating daily precipitations into hourly values with a transformed censored latent Gaussian process
Springer Science and Business Media LLC - Tập 29 Số 2 - Trang 453-462 - 2015
A problem often encountered in agricultural and ecological modeling is to disaggregate daily precipitations into vectors of hourly precipitations used as input values by crop and plant models. A stochastic model for rainfall data, based on transformed censored latent Gaussian process is described. Compared to earlier similar work, our transform function provides an accurate fit for both the body a...... hiện toàn bộ
Identifying non-stationarity in the dependence structures of meteorological factors within and across seasons and exploring possible causes
Springer Science and Business Media LLC - Tập 37 - Trang 4071-4089 - 2023
Precipitation (P) and temperature (T) are key components of the hydrometeorological system, and their dependence structures exhibit significant dynamic changes, including non-stationary behavior, in response to environmental variations. These changes affect local hydrological processes and impact the predictability of the hydrometeorological system. However, the dynamics of dependence structures a...... hiện toàn bộ
Assessing the effects of climate change and human activities on runoff variations from a seasonal perspective
Springer Science and Business Media LLC - Tập 34 - Trang 575-592 - 2020
Previous studies attempting to quantify the contributions of climate change and human activities to runoff variations in a changing environment have widely focused on an annual scale, while seasonal scales are rarely involved. China is the largest socialist country in the world, and its economic development is affected by its Five-year Plan policy. To this end, the upper Han River Basin, the large...... hiện toàn bộ
Similarity measures of conditional intensity functions to test separability in multidimensional point processes
Springer Science and Business Media LLC - Tập 27 - Trang 1193-1205 - 2012
Separability in the context of multidimensional point processes assumes a multiplicative form for the conditional intensity function. This hypothesis is especially convenient since each component of a separable process may be modeled and estimated individually, and this greatly facilitates model building, fitting, and assessment. This is also related to the problem of reduction in the number of di...... hiện toàn bộ
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