Modelling runoff in an arid watershed through integrated support vector machine
نویسندگان
چکیده
منابع مشابه
Factors Influencing Rainsplash Erosion and Runoff in an Arid Watershed
Rainfall simulation experiments were. conducted in the Fifteenmile Creek drainage basin of north-central Wyoming to identify nonpoint sources of suspended sediment, A portable drop-forming rainfall simulator was chosen for reasons of l o w cost and low water requirements. drops from a height of 7.5 feet ( 2 . 3 meters) with an intensity of 3 inches ( 7 . 6 cm) per hour. The simulated storms wer...
متن کاملSnowmelt runoff modelling in an arid mountain watershed, Tarim Basin, China
The feasibility of simulating daily snowmelt runoff in an arid mountain watershed with limited hydro-meteorological measurements was explored with an enhanced temperature-index snowmelt runoff model (SRM) in which the degree-day factor (DDF) is varied on the basis of shortwave solar radiation and snow albedo. The model satisfactorily simulated snowmelt runoff with a model efficiency of 0Ð64 for...
متن کاملAn economic analysis for integrated bi-objective biofuel supply chain design using support vector machine
Using second-generation biomass and biofuel deal with environmental pollution and CO2 emissions. Therefore, this paper design an integrated multi-period bi-objective biofuel supply chain network using support vector machine (SVM) and economic analysis to reduce the cost of generating biofuels and CO2 emissions. The economic analysis consists of three scenarios for supplyin...
متن کاملIdentification areas with inundation potential for urban runoff harvesting using the support vector machine model
Rainfall-runoff from urban areas is one of the available water resources, which is wasted due to lack of attention and proper management. Besides, urban runoff excess of drains capacity causing many problems including inundation and urban environmental pollution. Therefore, harvesting this runoff can provide a part of the required water in urban areas, and also reduce flood and urban inund...
متن کاملSupport Vector Machine Based Facies Classification Using Seismic Attributes in an Oil Field of Iran
Seismic facies analysis (SFA) aims to classify similar seismic traces based on amplitude, phase, frequency, and other seismic attributes. SFA has proven useful in interpreting seismic data, allowing significant information on subsurface geological structures to be extracted. While facies analysis has been widely investigated through unsupervised-classification-based studies, there are few cases...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: H2Open Journal
سال: 2020
ISSN: 2616-6518
DOI: 10.2166/h2oj.2020.005