نتایج جستجو برای: saturated hydraulic conductivity neural network methods ann cokriging

تعداد نتایج: 2696701  

Journal: :medical journal of islamic republic of iran 0
saeid afshar hamadan payame noor university (pnu), tehran road, hamadan, iran fahimeh abdolrahmani emam hosein medical lab fereshte vakili tanha emam hosein medical lab mahin zohdi seif payame noor university of hamadan kobra taheri payame noor university of hamadan

abstract   background : leukemia is one of the mostcommon cancers in children, comprising more than a third of all childhood cancers. newly affected patients in usa are estimated as 10100cases, and if these cases are diagnosed late or proper treatment is not applied, then it can be mortal. because rapid and proper diagnosis of leukemia based on clinical or medicinal findings (without biopsy) is...

This paper studies the application of principal component analysis, multiple polynomial regression, and artificial neural network ANN techniques to the quantitative analysis of binary mixture of dye solution. The binary mixtures of three textile dyes including blue, red and yellow colors were analyzed by PCA-Multiple polynomial Regression and PCA-Artificial Neural network PCA-ANN methods. The o...

H. Pathak, H.C. Joshi S. Chandra

Irrigation with distillery effluent, besides influencing crop yield, may have considerable impact on physical properties of soil because of its high salt and organic carbon contents. This experimental study was conducted to evaluate the effect of distillery effluent on hydraulic conductivity of a sandy loam alluvial soil and compare the effect of inorganic salts of potassium (K) with that of di...

2001
Shmuel Assouline Daniel M. Tartakovsky

We present a new two-parameter expression for relative hydraulic conductivity (RHC) of partially saturated soils. It is based on the premise of Assouline et al. [1998] that soil structures evolve from a uniform random fragmentation process. This assumption allows us to derive hydraulic properties of soils (water retention curves and unsaturated hydraulic conductivity) from primary properties, s...

2016
Usman Anwar Randall K. Kolka John Tyndall Randall Kolka

Predicting the hydrologic consequences of biomass cropping systems requires an understanding of how different crops and management practices affect soil hydraulic properties across space and time. To inform such predictions, I investigated the impacts of five biomass cropping systems on the hydraulic properties of soils across a landscape gradient in wet, dry, and average rainfall years. I used...

2010
Andrew S. Gregory Nigel R.A. Bird W. Richard Whalley Peter Matthews

To understand the hydraulic properties of soils, accurate prediction of unsaturated hydraulic conductivity is needed which is commonly derived from the soil water release characteristic. In fine-textured soils the modified Mualem-van Genuchten (MMVG) function has been used extensively to predict the change in relative conductivity with changes in matric potential, but this assumes that the soil...

2010
Fethi Bouksila Magnus Persson Ronny Berndtsson Akissa Bahri

Rapid and reliable observations of soil electrical conductivity are essential in order to maintain sustainable irrigated agriculture. Direct measurement of the electrical conductivity of saturated soil paste (ECe), however, is tedious and time consuming. Therefore, there are needs to find efficient indirect methods to predict the soil salinity from other readily available observations. In this ...

دهقانی, رضا, قربانی, محمدعلی,

     Electrical conductivity (EC) is an important factor in river engineering, especially studying of river water quality. In this study we studied and evaluated wavelet neural network to predict the electrical conductivity of the Kakareza river (in lorestan), and the results were compared with results of artificial neural network model. For this purpose, hydrogen carbonate, chloride, sulfate, ...

Journal: :پژوهش های حفاظت آب و خاک 0

infiltration rate is one of the most important soil physical parameters and is a basic input data in irrigation and drainage projects. although, a number of theoretical or experimental based equations are presented to describe this phenomenon but the evaluation of some new sciences such as artificial neural networks, for prediction of the phenomenon can be investigated. generally, the infiltrat...

ژورنال: علوم آب و خاک 2012
بیژن خلیل‌مقدم, , جهانگرد محمدی, , حبیب خداوردی‌لو, , سیروس دهقانی بانیانی, , شجاع قربانی دشتکی, ,

Saturated hydraulic conductivity (Kfs) and macroscopic capillary length of soil pores are important hydraulic properties for water flow and solute transport modeling. Measuring these parameters is tedious, time consuming and expensive. One way is using indirect methods such as Pedotransfer functions (PTFs). The objective of this research was to develop some PTFs for estimating saturated hydraul...

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