Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Junzhi Liu"'
Publikováno v:
Journal of Hydroinformatics. 21:1163-1178
To determine a suitable hydrological model structure for a specific application context using integrated modelling frameworks, modellers usually need to manually select the required hydrological processes, identify the appropriate algorithm for each
Publikováno v:
CATENA. 176:45-64
This study aims to explore the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping. First, the Youfang catchment was selected as the study area, since it has undergone landslid
Publikováno v:
Science of The Total Environment. 651:953-968
This study conducted the global sensitivity analysis of the APSIM-Oryza rice growth model under eight climate conditions and two CO2 levels using the extended Fourier Amplitude Sensitivity Test method. Two output variables (i.e. total aboveground dry
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 1, Pp 194-205 (2019)
Using dense soil moisture (SM) measurements in the upper Huai River basin of China, this study evaluated the spatial patterns of L-band satellite-based SM products, including Soil Moisture Active Passive (SMAP) L3, Soil Moisture and Ocean Salinity (S
Publikováno v:
International Journal of Climatology. 39:2120-2135
Spatial and temporal patterns of trends in annual and seasonal precipitation over Germany during 1951–2013 were analysed using the ensemble empirical mode decomposition (EEMD) method. Three widely used and recognized high-resolution observation-bas
Publikováno v:
CATENA. 171:222-233
Presence-absence methods are widely-used data-driven models for landslide susceptibility mapping. Landslide absence data included in the training data of presence-absence methods is usually not available and has to be generated. In consideration of l
Autor:
Himan Shahabi, Shaojun Li, A-Xing Zhu, Wei Chen, Ataollah Shirzadi, Yingying Tian, Aykut Akgün, Junzhi Liu, Haoyuan Hong
Publikováno v:
Bulletin of Engineering Geology and the Environment. 78:4397-4419
Globally, and in China, landslides constitute one of the most important and frequently encountered natural hazard events. In the present study, landslide susceptibility evaluation was undertaken using novel ensembles of bivariate statistical-methods-
Publikováno v:
The Science of the total environment. 718
The major target of this study is to design two novel hybrid integration artificial intelligent models, which are denoted as LADT-Bagging and FPA-Bagging, for modeling landslide susceptibility in the Youfanggou district (China). First of all, we prep
Autor:
Yi Wang, Aiding Kornejady, Arastoo Yari Hesar, Baharin Bin Ahmad, Adel Soltani, A-Xing Zhu, Seyed Vahid Razavi Termeh, Haoyuan Hong, Junzhi Liu
Publikováno v:
Earth Science Informatics. 11:605-622
The present study is aimed at producing landslide susceptibility map of a landslide-prone area (Anfu County, China) by using evidential belief function (EBF), frequency ratio (FR) and Mahalanobis distance (MD) models. To this aim, 302 landslides were
Publikováno v:
Science of The Total Environment. 625:575-588
In China, floods are considered as the most frequent natural disaster responsible for severe economic losses and serious damages recorded in agriculture and urban infrastructure. Based on the international experience prevention of flood events may no