|
|
|
|
|
Hossein Salehi, Saeid Gharechelou, Saeed Golian, Mohammadreza Ranjbari and Babak Ghazi
Hydrological modeling is essential for runoff simulations in line with climate studies, especially in remote areas with data scarcity. Advancements in climatic precipitation datasets have improved the accuracy of hydrological modeling. This research aims...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mariolino De Cecco, Alessandro Luchetti, Isidro Butaslac III, Francesco Pilla, Giovanni Maria Achille Guandalini, Jacopo Bonavita, Monica Mazzucato and Kato Hirokazu
In rehabilitation settings that exploit Mixed Reality, a clinician risks losing empathy with the patient by being immersed in different worlds, either real and/or virtual. While the patient perceives the rehabilitation stimuli in a mixed real?virtual wor...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dorothy L. Robinson, Nigel Goodman and Sotiris Vardoulakis
Low-cost optical sensors are used in many countries to monitor fine particulate (PM2.5) air pollution, especially in cities and towns with large spatial and temporal variation due to woodsmoke pollution. Previous peer-reviewed research derived calibratio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chi Xu, Chuanqi Liu, Wanchang Zhang, Zhenghao Li and Bangsheng An
Complex terrain, the sparse distribution of rain gauges, and the poor resolution and quality of satellite data in remote areas severely restrict the development of watershed hydrological modeling, meteorology, and ecological research. In this study, base...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nick Martin
Weather attribution is a scientific study that estimates the relative likelihood of an observed weather event occurring under different climate regimes. Water budget models are widely used tools that can estimate future water resource management and cons...
ver más
|
|
|
|
|
|
|
|
|
|
|
Markus C. Casper, Zoé Salm, Oliver Gronz, Christopher Hutengs, Hadis Mohajerani and Michael Vohland
The land-use-specific calibration of evapotranspiration parameters in hydrologic modeling is challenging due to the lack of appropriate reference data. We present a MODIS-based calibration approach of vegetation-related evaporation parameters for two mes...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vivek Venishetty, Prem B. Parajuli and Dipesh Nepal
Best management practices (BMPs) are management operations that reduce pollution and improve water quality. This study assessed the spatial variability of BMPs effectiveness within the Yazoo River Watershed (YRW) using Soil and Water Assessment Tool (SWA...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maria Kofidou and Alexandra Gemitzi
The present work aims to highlight the possibility of improving model performance by assimilating soil moisture information in the calibration and validation process. The Soil and Water Assessment Tool (SWAT) within QGIS, i.e., QSWAT, was used to simulat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nutchanart Sriwongsitanon, Chanphit Kaprom, Kamonpat Tantisuvanichkul, Nattakorn Prasertthonggorn, Watchara Suiadee, Wim G. M. Bastiaanssen and James Alexander Williams
Precise estimation of the spatial and temporal characteristics of rainfall is essential for producing the reliable catchment response needed for proper management of water resources. However, in most parts of the world, gauged rainfall stations are spars...
ver más
|
|
|
|
|
|