Results 61 to 70 of about 3,258 (185)
This contribution describes the creation of a landslide hazard assessment model for San Salvador, a department in El Salvador. The analysis started with an aerial photointerpretation from Ministry of Environment and Natural Resources of El Salvador (MARN
Ricardo Ríos +3 more
doaj +1 more source
This study investigates ground subsidence during tunnel excavation in karst areas, highlighting the combined effects of karst cave proximity, cave size, and soil spatial variability. Findings suggest that shorter cave distances and larger cave sizes increase subsidence variability, and a modified Peck formula is proposed for more accurate subsidence ...
Zhenghong Su +4 more
wiley +1 more source
Convection‐permitting simulations (WRF3, 3 km) better represent mountain precipitation and snow processes than coarser regional simulations (WRF20, 20 km). Hydrological simulations forced by WRF3 improve streamflow seasonality and snow‐related hydrological signatures compared to WRF20.
Ouiaam Lahnik +6 more
wiley +1 more source
The technique of precision agriculture and soil-landscape allows delimiting areas for localized management, allowing a localized application of agricultural inputs and thereby may contribute to preservation of natural resources.
Marisol G. A. de Leão +4 more
doaj +1 more source
We study evapotranspiration (ET), a key flux in the hydrological cycle, across heterogeneous tropical land‐cover mosaics in lowland Sumatra featuring secondary forest patches, oil palm plantations, and shrubland. We apply high‐resolution UAV thermography and an energy‐balance model to derive ET across three mosaic landscapes (Areas 1–3).
Medha Bulusu +4 more
wiley +1 more source
Spatio-temporal variability of erosivity in Mato Grosso, Brazil
The impact of rainfall on surfaces lacking vegetal cover can dissociate soil particles, thereby initiating the erosion process. This is known as rainfall erosivity and is expressed by the R factor in the Universal Soil Loss Equation.
Luis Augusto Di Loreto Di Raimo +7 more
doaj +1 more source
Missing comparability: When genomic selection faces field variability. A case study in soybeans
Abstract The processing of phenotypic information prior to training genomic selection (GS) models is a key factor that is frequently overlooked. Several approaches have been proposed to isolate the genetic signal from the field variability. However, in most cases, the estimated genetic signal still carries the field variability print.
Edmundo Caballero +2 more
wiley +1 more source
Observational Uncertainty in Deep Learning Climate Downscaling and Projections
Abstract Deep learning (DL) models are increasingly used for climate downscaling, yet the impact of observational uncertainty on their performance remains poorly understood. Here we assess this effect by training ensembles of DL downscaling models using four independent gridded observational data sets over continental Spain that differ in source ...
Samuel Reyes‐Elgueta +4 more
wiley +1 more source
The spring distribution of larval fish stages of flatfishes in the Dover Strait (eastern English Channel) was studied in 1995 and 1999. Fish larvae were identified and sorted according to developmental stages in order to study their ontogenic ...
Philippe Koubbi +8 more
doaj +1 more source
Abstract Soil organic carbon (SOC) storage represents one of the most critical ecosystem services provided by soils, yet scientific assessments frequently focus on surface layers, overlooking deeper horizons. In this study, we investigated SOC stocks and spatial patterns of soil δ13C across three contrasting land use and land cover (LULC) types in ...
Lucas F. Alexandre +7 more
wiley +1 more source

