This study has contributed to identify convenience of the land Usifiya of Mahmudiya district baghdad province for the cultivation of sensitive and salt resisting crops and growing pasture .The nine pedons (tracks) of the study have spread over three transects to cover the whole area the north, middle and south .
Depending on Visual Space tupe (TM) for 2007 which is super classified, samples are distributed on all classes of land cover
It is detected the presence of nine series soils namely
MM5- MW96- DM 115 for 1st transect
MF12- DM46 - DM96 for 2nd transect
DM56- DF56 - MW5 for 3rd transect
Soils are classified to the level of sub great group according to (soil Survey Staff) to :
*Typic Torri Fluvents , Typic Haplosalds
Some properties of soil including chemical are choosen, which determine the degree and the optimal convenience of the land, using the method of standard beating (Sys 1980) These are soil texture clalcium carbonate Gypsum , salinity drainage state Exchangable sodium Ration, soil depth, horizon development and weathering index.
Results show that by application of the equation there are five varieties suitable for cultivation for each kind of crops :-
A. For sensitive crops :-
very suitable S1 : it include series DW96 with11.1%, suitable S2 : series MW5 & DM56 with 22.2 % medium suitable S3: series DM115 – MM5 – DM96 with 33.3 %
Less suitable S4 : series DM46 with 11.1 %, insuitabhe N : series DF56 with 11.1%
B. for resisting crops :
Very suitable S1 : it includes series DW96 _ MW5 _ DM56 with 33.3 %
Suitable S2 : series DM115 _ MM5 _ DM96 with 33.3%
Medium suitable S3 : series DM46 with 11.1 %
Less suitable S4 : series DF12 with 11.1%
Insuitable N : series DF56 with 11.1 %
c)for grain for Dqsture :
very suitable S1 : it include series DM56_ MW5 _ MM5 with 33.3%
suitable S2 : series DM96 _ DM96 _ DM115 with 33.3 %
medium suitable S3 : series DM46 with 11.1 %
less suitable S4 : series MF12 with 11.1 %
insuitable N: it include series DF56 with 11.1 %
The area of each class of suitable varieties of different crops has been specified using the program Arc GiS10.2 with the help of geostat istics Analysis .
The area of different types are :-
Sensitive crops, S1: 16.79 km2 , S2: 89.15 km2 , S3: 248.3 km2 , S4 : 37.18 km2 , N : 18.00km2 . Salt – resisting crops , S1: 180.14 km2 , S2: 182.82 km2 , S3:28.29 km2, S4: 11.19km2 , N:6.91 km2 . grain for pastuer , S1: 224.59km2 , S2 : 127.77 km2 , S3:38.77 km2 , S4 : 12.44km2 , N : 5.88 km2 .
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Reliability analysis methods are used to evaluate the safety of reinforced concrete structures by evaluating the limit state function 𝑔(𝑋𝑖). For implicit limit state function and nonlinear analysis , an advanced reliability analysis methods are needed. Monte Carlo simulation (MCS) can be used in this case however, as the number of input variables increases, the time required for MCS also increases, making it a time consuming method especially for complex problems with implicit performance functions. In such cases, MCS-based FORM (First Order Reliability Method) and Artificial Neural Network-based FORM (ANN FORM) have been proposed as alternatives. However, it is important to note that both MCS-FORM and ANN-FORM can also be time-con
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In this work, the nuclear density distributions, size radii and elastic electron scattering form factors are calculated for proton-rich 8B, 17F, 17Ne, 23Al and 27P nuclei using the radial wave functions of Woods-Saxon potential. The parameters of such potential for nuclei under study are generated so as to reproduce the experimentally available size radii and binding energies of the last nucleons on the Fermi surface.
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Authors in this work design efficient neural networks, which are based on the modified Levenberg - Marquardt (LM) training algorithms to solve non-linear fourth - order three -dimensional partial differential equations in the two kinds in the periodic and in the non-periodic - Periodic. Software reliability growth models are essential tools for monitoring and evaluating the evolution of software reliability. Software defect detection events that occur during testing and operation are often treated as counting processes in many current models. However, when working with large software systems, the error detection process should be viewed as a random process with a continuous state space, since the number of faults found during testin
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