Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Hydrological Extremes in a Warming Climate: Nonstationarity, Uncertainties and Impacts
| Hydrological Extremes in a Warming Climate: Nonstationarity, Uncertainties and Impacts |
| Autore | Shrestha Rajesh R |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
regional flood frequency analysis
flood-related attribute region of influence flood region revision process Canadian annual maximum flow extreme precipitation LARS-WG CMIP5 spatiotemporal changes climate change climatic controls multiple linear regression permafrost region streamflow extremes trend analysis variable importance analysis extreme events hydrology concurrent Colorado River basin heatwaves drought flooding low flows multi-purpose reservoir functional volume uncertainties Monte Carlo method hydrological extremes simulation-optimization model optimal storage volume simulation model retention volume transformation of flood discharges CMIP6 extreme SWAT flood IHA global warming Malaysia Kelantan peak flows predictor predictand snow water equivalent annual maximum flow western Canada uncertainty riverine flooding coastal flooding compound flooding projected IDF curves design storm Stephenville Crossing snow trends Yakima River basin cascade reservoirs design flood nonstationary conditions equivalent reliability most likely regional composition dependence structure glacier ablation North Cascade Range salmon glacier mass balance heat wave |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Hydrological Extremes in a Warming Climate |
| Record Nr. | UNINA-9910595075103321 |
Shrestha Rajesh R
|
||
| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing in Hydrology and Water Resources Management
| Remote Sensing in Hydrology and Water Resources Management |
| Autore | Duan Weili |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (487 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
precipitation datasets
evaluation spatial scale temporal scale climate Yellow River Basin data assimilation WRF WRFDA 3DVar water levels surface areas volume variations hypsometry bathymetry lakes reservoirs remote sensing DAHITI modified strahler approach airborne LiDAR DEM flood inundation flood map flood model LiDAR terrestrial LiDAR evapotranspiration variability uncertainty unmanned aerial system sUAS multispectral viticulture water resources management California lake Tibetan Plateau hydrological changes water balance Chindwin basin hydrological modelling multi-variable calibration satellite-based rainfall product TRMM temporal resolution rainfall erosivity combined approach multi-objective optimization modeling uncertainty model constraint SWAT semiarid area hydrological variations normalized difference vegetation index total water storage change groundwater change extreme precipitation estimation TMPA 3B42-V7 regional frequency analysis China satellite datasets accuracy evaluation hydrological applicability Bosten Lake Basin actual evapotranspiration available water resources climate change vegetation greening VIP-RS model Lancang-Mekong river basin MSWEP AgMERRA APHRODITE CHIRPS PERSIANN error correction agricultural water management crop water consumption remote sensing model evapotranspiration allocation inland water IWCT Tianjin Landsat data Tarim River Basin desert-oasis ecotone land-use change CA-Markov model remote sensing in hydrology precipitation performance evaluation GPM Poyang Lake Yangtze River assimilation nonparametric modeling multi-source landscape pattern spatiotemporal changes influencing factors watershed China SE satellite data LUE-GPP SPEI copula function conditional probability soil moisture neural network downscaling microwave data MODIS data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557632803321 |
|
Duan Weili
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||