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Advances in Ecohydrology for Water Resources Optimization in Arid and Semi-arid Areas
| Advances in Ecohydrology for Water Resources Optimization in Arid and Semi-arid Areas |
| Autore | Castellini Mirko |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto topico |
Technology: general issues
Environmental science, engineering & technology |
| Soggetto non controllato |
sap flow
water-limited ecosystem transpiration hysteresis nocturnal sap flow soil hydraulic conductivity aggregate stability soil porosity soil penetration resistance arid sandy land infiltration precipitation deep soil recharge freeze–thaw gully erosion runoff potential rainwater harvesting ecological restoration allophane Andisol readily soluble silicon sequential silicon extraction sociology of water use well owners groundwater water supplies infrastructure water-saving appliances diurnal fluctuations Phreatophyte semiarid wetland vegetation restoration evapotranspiration spatial and temporal water use efficiency Gleam Product cover crops inter-row management evapotranspiration modeling and partition FAO56 dual-Kc approach soil water balance viticulture soil structure pore volume distribution function bulk density macroporosity air capacity plant available water capacity relative field capacity S-index deep infiltration runoff forest restoration compost silicon soil water retention |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674367603321 |
Castellini Mirko
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
| Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing |
| Autore | Lee Saro |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (438 p.) |
| Soggetto non controllato |
artificial neural network
model switching sensitivity analysis neural networks logit boost Qaidam Basin land subsidence land use/land cover (LULC) naïve Bayes multilayer perceptron convolutional neural networks single-class data descriptors logistic regression feature selection mapping particulate matter 10 (PM10) Bayes net gray-level co-occurrence matrix multi-scale Logistic Model Trees classification Panax notoginseng large scene coarse particle grayscale aerial image Gaofen-2 environmental variables variable selection spatial predictive models weights of evidence landslide prediction random forest boosted regression tree convolutional network Vietnam model validation colorization data mining techniques spatial predictions SCAI unmanned aerial vehicle high-resolution texture spatial sparse recovery landslide susceptibility map machine learning reproducible research constrained spatial smoothing support vector machine random forest regression model assessment information gain ALS point cloud bagging ensemble one-class classifiers leaf area index (LAI) landslide susceptibility landsat image ionospheric delay constraints spatial spline regression remote sensing image segmentation panchromatic Sentinel-2 remote sensing optical remote sensing materia medica resource GIS precise weighting change detection TRMM traffic CO crop training sample size convergence time object detection gully erosion deep learning classification-based learning transfer learning landslide traffic CO prediction hybrid model winter wheat spatial distribution logistic alternating direction method of multipliers hybrid structure convolutional neural networks geoherb predictive accuracy real-time precise point positioning spectral bands |
| ISBN | 3-03921-216-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367564103321 |
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Lee Saro
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modeling of Soil Erosion and Sediment Transport
| Modeling of Soil Erosion and Sediment Transport |
| Autore | Hrissanthou Vlassios |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (298 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
terrace
vegetation time-area method MUSLE soil and water loss the Loess Plateau bed erosion catchment area filtration sediment accumulation sediment bed fluidization sediment re-suspension soil erosion rainfall-runoff sediment yield AnnAGNPS model urbanization scenario analysis Upper Indus Basin (UIB) Tarbela Reservoir Besham Qila sediment modeling uncertainty wavelet transform analysis-artificial neural network (WA-ANN) sediment rating curve (SRC) HEC-RAS SWAT TUSLE sediment transport model calibration mountainous catchment tailings pond leaked tailings flow dam failure impact force deposition range debris blocking dam CORINE erosion model ponds Brenne limnology land cover change infiltration estimation black soil residue cover model validation stream sediment transport total load sediment concentration Yang formula fuzzy regression fuzzy coefficients fuzzy logic sediment entrainment clogging colmation numerical modeling gully erosion seasonality precipitation statistical modeling precipitation intensity sediment budget rainfall event EROSION-3D small water reservoir SWAT modeling land management soil conservation stone structures WRF-Hydro CASC2D-SED Goodwin Creek Experimental Watershed NLDAS-2 calibration |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557729403321 |
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Hrissanthou Vlassios
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soil-Water Conservation, Erosion, and Landslide
| Soil-Water Conservation, Erosion, and Landslide |
| Autore | Chen Su-Chin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (392 p.) |
| Soggetto topico |
Technology: general issues
Environmental science, engineering & technology |
| Soggetto non controllato |
landslide
image classification spectrum similarity analysis extreme rainfall-induced landslide susceptibility model landslide ratio-based logistic regression landslide evolution Typhoon Morakot Taiwan vegetation community vegetation importance value root system soil erosion grey correlation analysis sediment yield RUSLE Lancang-Mekong River basin rainfall threshold landslide probability model debris flow Zechawa Gully mitigation countermeasures Jiuzhaigou Valley water erosion susceptibility Gaussian process climate change radial basis function kernel weighted subspace random forest extreme events extreme weather naive Bayes feature selection machine learning hydrologic model simulated annealing earth system science PSED Model loess ICU static liquefaction mechanical behavior pore structure alpine swamp meadow alpine meadow degradation of riparian vegetation root distribution tensile strength tensile crack soil management land cover changes Syria hillslopes gully erosion vegetation restoration soil erodibility land use bridge pier overfall scour landform change impact on pier shallow water equations wet-dry front outburst flood TVD-scheme MUSCL-Hancock method laboratory model test extreme rainfall rill erosion shallow landslides deep lip surface safety factor rainfall erosivity factor USLE R Deep Neural Network tree ring dendrogeomorphology landslide activity deciduous broadleaved tree Shirakami Mountains spatiotemporal cluster analysis landslide hotspots dam breach seepage overtopping seismic signal flume test breach model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566467403321 |
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Chen Su-Chin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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