Results 31 to 40 of about 34,367 (267)
Soil moisture deficit is an essential element in the estimation of irrigation demands, both spatially and temporarily. The determination of temporal and spatial variations of soil moisture in a river basin is challenging in many aspects; however ...
Kallem Sushanth +3 more
doaj +1 more source
Early warning of shallow landslides: Monitoring of pre-failure suction-induced deformation [PDF]
Most of the Landslides Early Warning Systems (LEWS) in operation are based uniquely on monitoring rainfall data, limiting their performance due to false alarms generated by rainfall thresholds.
Coppola Lucia +4 more
doaj +1 more source
Comparison of hydrological model ensemble forecasting based on multiple members and ensemble methods
Ensemble hydrologic forecasting which takes advantages of multiple hydrologic models has made much contribution to water resource management. In this study, four hydrological models (the Xin’anjiang model (XAJ), Simhyd, GR4J, and artificial neural ...
Wang Jie +6 more
doaj +1 more source
Present and future of hydrology
The complexities of hydrological phenomena, the causes that lead to these complexities, and the essences and defects of reductionism are analyzed. The driving forces for the development of hydrology and the formation of branch subjects of hydrology are ...
Xiao-fang Rui +3 more
doaj +1 more source
Geological models are essential components in various applications. To generate reliable realizations, the geostatistical method focuses on reproducing spatial structures from training images (TIs).
Chen Zuo +4 more
doaj +1 more source
Application of SWAT Model for Simulating Monthly Runoff, Lake Urmia Watershed in Kurdistan Province, Iran [PDF]
The Soil and Water Assessment Model (SWAT) is a continuous and semi-distributed model. The SWAT model is capable of being connected to the Geographic Information System (GIS).
Zaniar Fatehi, Seyed Vahid Shahoei
doaj +1 more source
Hybrid machine learning hydrological model for flood forecast purpose
Machine learning-based data-driven models have achieved great success since their invention. Nowadays, the artificial neural network (ANN)-based machine learning methods have made great progress than ever before, such as the deep learning and ...
Kan Guangyuan +7 more
doaj +1 more source
Comparing The Performance Of Two Hydrological Models, IHACRES And GR2M For Simulating Monthly Flow Of Dareh-Takht Basin [PDF]
Modeling of the rainfall-runoff process is important. The Results of the rainfall-runoff models have been used directly on issues such as water resource management, flood control and design of hydraulic structures.
fatemeh zandi daregharibi +3 more
doaj +1 more source
Iron‐Mediated Release of Aged Dissolved Organic Carbon From Waterlogged Peatland Under Warming
This study conducts a five‐year in situ warming experiment in high‐altitude peatlands to examine dissolved organic carbon (DOC) release. The study shows that warming promotes the release of plant‐derived modern DOC in drained peatlands, but amplifies aquatic export of century‐old DOC from waterlogged peatlands via Fe‐mediated DOC mobilization—a ...
Guohua Dai +18 more
wiley +1 more source
Conventional passive radiative cooling films rely on costly feedstocks and energy‐intensive fabrication, with poor end‐of‐life compatibility in agriculture. To address this challenge, a sustainable radiative cooling mulch (SRCM) is developed from waste maize leaves via spontaneous hydrogen‐bond self‐assembly.
Hao Li +13 more
wiley +1 more source

