Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Sabahattin Isik"'
Publikováno v:
Water, Vol 15, Iss 15, p 2687 (2023)
Headwater streams drain over 70% of the land in the United States with headwater wetlands covering 6.59 million hectares. These ecosystems are important landscape features in the southeast United States, with underlying effects on ecosystem health, w
Externí odkaz:
https://doaj.org/article/f517c3b6d4cf44f2b1834b07118273be
Publikováno v:
Journal of Hydrology. 613:128327
Publikováno v:
Journal of Hydrology. 613:128424
Publikováno v:
J Hydrol (Amst)
Simulating water moisture flow in variably saturated soils with a relatively shallow water table is challenging due to the high nonlinear behavior of Richards' equation (RE). A two-layer approximation of RE was derived in this paper, which describes
Publikováno v:
World Environmental and Water Resources Congress 2019.
Publikováno v:
Ecological Modelling. 263:196-210
Described in this article is development and validation of a process based model for carbon cycling in flooded wetlands, called WetQual-C. The model considers various biogeochemical interactions affecting C cycling, greenhouse gas emissions, organic
Publikováno v:
Neural Computing and Applications. 25:25-37
Flood prediction is an important for the design, planning and management of water resources systems. This study presents the use of artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), multiple linear regression (MLR) and
Autor:
Sabahattin Isik
Publikováno v:
Earth Science Informatics. 6:87-98
Estimations of annual suspended sediment loads are required for various types of water resources studies. Often estimation of the sediment load is needed for ungauged watersheds. Regionalization methods provide a practical solution to solve such prob
Publikováno v:
Journal of Hydrology. 485:103-112
Summary A hybrid model based on Artificial Neural Networks (ANNs) and Soil Conservation Service (SCS) Curve Number (CN) was developed to predict the effect of changes in land use/cover (LULC) on daily streamflows. The developed model makes use of LUL
Publikováno v:
Journal of Hydrologic Engineering. 18:194-205
Precipitation is the primary driver for hydrologic modeling. Because hydrologic models often require long-term, spatially dis- tributed precipitation data sets for calibration and validation, a novel approach was developed to generate spatially distr