scholarly journals Investigation of the relationship between electrical conductivity (EC) of water and soil, and landform classification in the northern part of Meharloo watershed, Fars province, Iran using fuzzy model and GIS

2016 ◽  
Author(s):  
Anonymous
Keyword(s):  
Electrical Conductivity ◽  
Fuzzy Model ◽  
Fars Province ◽  
Landform Classification ◽  
The Relationship

scholarly journals Investigation of the relationship between landform classes and electrical conductivity (EC) of water and soil using a fuzzy model in a GIS environment

Solid Earth ◽  
2016 ◽  
Vol 7 (3) ◽  
pp. 873-880
Author(s):  
Marzieh Mokarram ◽  
Dinesh Sathyamoorthy
Keyword(s):  
Electrical Conductivity ◽  
Fuzzy Model ◽  
Chemical Properties ◽  
Geographical Information ◽  
Fars Province ◽  
Fuzzy Method ◽  
The North ◽  
The Relationship ◽  
Very High ◽  
Soil And Water

Abstract. Soil genesis is highly dependent on landforms as they control the erosional processes and the soil physical and chemical properties. The relationship between landform classification and electrical conductivity (EC) of soil and water in the northern part of Meharloo watershed, Fars province, Iran, was investigated using a combination of a geographical information system (GIS) and a fuzzy model. The results of the fuzzy method for water EC showed 36.6 % of the land to be moderately land suitable for agriculture; high, 31.69 %; and very high, 31.65 %. In comparison, the results of the fuzzy method for soil EC showed 24.31 % of the land to be as not suitable for agriculture (low class); moderate, 11.78 %; high, 25.74 %; and very high, 38.16 %. In total, the land suitable for agriculture with low EC is located in the north and northeast of the study area. The relationship between landform and EC shows that EC of water is high for the valley classes, while the EC of soil is high in the upland drainage class. In addition, the lowest EC levels for soil and water are in the plains class.

scholarly journals Investigation of the relationship between electrical conductivity (EC) of water and soil, and landform classes using fuzzy model and GIS

2016 ◽  
Author(s):  
Marzieh Mokarram ◽  
Dinesh Sathyamoorthy
Keyword(s):  
Electrical Conductivity ◽  
Fuzzy Model ◽  
Geographical Information ◽  
Fars Province ◽  
Fuzzy Method ◽  
Drainage Class ◽  
The North ◽  
The Relationship ◽  
Very High ◽  
Soil And Water

Abstract. In this research, the relationship between classes of landform, and electrical conductivity (EC) of soil and water in the Shiraz Plain, Fars province Iran was investigated using a combination of geographical information system (GIS) and fuzzy model. The results of the fuzzy method for water EC showed that 36.6 % of the land to be moderately land suitable for agriculture; high, 31.69 %; and very high, 31.65 %. In comparison, the results of the fuzzy method for soil EC showed that 24.31 % of the land to be as not suitable for agriculture (low class); moderate, 11.78 %; high, 25.74 %; and very high, 38.16 %. In the total, the land suitable for agriculture with low EC is located in the north and northeast of the study area. The relationship between landform and EC shows that EC of water is high for the valley classes, while EC of soil is high in the upland drainage class. In addition, the lowest EC for soil and water are in the plain small class.

scholarly journals Prediction of Reproductive Success in Multiparous First Service Dairy Cows by Parameters from In-Line Sensors

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 334
Author(s):  
Ramūnas Antanaitis ◽  
Vida Juozaitienė ◽  
Dovilė Malašauskienė ◽  
Mindaugas Televičius ◽  
Mingaudas Urbutis ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Blood Parameters ◽  
Negative Energy ◽  
Hydroxybutyric Acid ◽  
Pregnancy Status ◽  
Group A ◽  
Biochemical Indices ◽  
Relationship Of ◽  
The Relationship

The aim of the current study was to evaluate the relationship of different parameters from an automatic milking system (AMS) with the pregnancy status of multiparous cows at first service and to assess the accuracy of such a follow-up with regard to blood parameters. Before the insemination of cows, blood samples for measuring biochemical indices were taken from the coccygeal vessels and the concentrations of blood serum albumin (ALB), cortisol, non-esterified fatty acids (NEFA) and the activities of aspartate aminotransferase (AST) and gamma glutamyltransferase (GGT) were determined. From oestrus day to seven days after oestrus, the following parameters were registered: milk yield (MY), electric milk conductivity, lactate dehydrogenase (LDH) and β-hydroxybutyric acid (BHB). The pregnancy status was evaluated using ultrasound “Easy scan” 30–35 days after insemination. Cows were grouped by reproductive status: PG− (non-pregnant; n = 48) and PG+ (pregnant; n = 44). The BHB level in PG− cows was 1.2 times higher (p < 0.005). The electrical conductivity of milk was statistically significantly higher in all quarters of PG− cows (1.07 times) than of PG+ cows (p < 0.05). The arithmetic mean of blood GGT was 1.61 times higher in PG− cows and the NEFA value 1.23 times higher (p < 0.05) compared with the PG+ group. The liver function was affected, the average ALB of PG− cows was 1.19 times lower (p < 0.05) and the AST activity was 1.16 times lower (p < 0.05) compared with PG+ cows. The non-pregnant group had a negative energy balance demonstrated by high in-line milk BHB and high blood NEFA concentrations. We found a greater number of cows with cortisol >0.0.75 mg/dL in the non-pregnant group. A higher milk electrical conductivity in the non-pregnant cows pointed towards a greater risk of mastitis while higher GGT activities together with lower albumin concentrations indicated that the cows were more affected by oxidative stress.

scholarly journals Analyzing the Relationship between Organizational Culture and Silence with Organizational Health among Employers of Fars Maskan Bank

2017 ◽  
Vol 9 (1) ◽  
pp. 234
Author(s):  
Asiyeh Foshat ◽  
Reza Zarei
Keyword(s):  
Organizational Culture ◽  
Inverse Relationship ◽  
Pearson Correlation ◽  
Organizational Health ◽  
Fars Province ◽  
Statistical Population ◽  
Organizational Silence ◽  
Statistical Sample ◽  
The Relationship ◽  
Regression Tests

This study aims to analyze the relationship between organizational culture and silence with organizational health. The methodology of the study is correlation, and its statistical population is 642 that are all employers in Maskan Bank in Fars province. Sampling was executed through one-phase clustering sampling in which 130 persons were selected as statistical sample. Three questionnaires of organizational health (Hawaii et al., 1987), organizational culture (Hofstede, 1980), and organizational silence (Vacola & Bouradas, 2005) were used for collecting data. Data was analyzed step to step using Pearson correlation coefficient and multiple regression tests. Results indicated that there is a significant inverse relationship between organizational culture and silence with organizational health (less than 0.01). Higher level managers’ view of silence (among elements of organizational silence) and patriarchy (among elements of organizational culture) are capable of predicting organizational health in inverse. Other elements are not significantly capable in predicting organizational health.

Laboratory test of snow wetness influence on electrical conductivity measured with ground penetrating radar

2009 ◽  
Vol 40 (1) ◽  
pp. 33-44 ◽  
Author(s):  
Nils Granlund ◽  
Angela Lundberg ◽  
James Feiccabrino ◽  
David Gustafsson
Keyword(s):  
Electrical Conductivity ◽  
Electrical Properties ◽  
Laboratory Test ◽  
Liquid Water ◽  
Ground Penetrating Radar ◽  
Wave Attenuation ◽  
Radar Measurements ◽  
Ground Penetrating ◽  
Radar Wave ◽  
The Relationship

Ground penetrating radar operated from helicopters or snowmobiles is used to determine snow water equivalent (SWE) for annual snowpacks from radar wave two-way travel time. However, presence of liquid water in a snowpack is known to decrease the radar wave velocity, which for a typical snowpack with 5% (by volume) liquid water can lead to an overestimation of SWE by about 20%. It would therefore be beneficial if radar measurements could also be used to determine snow wetness. Our approach is to use radar wave attenuation in the snowpack, which depends on electrical properties of snow (permittivity and conductivity) which in turn depend on snow wetness. The relationship between radar wave attenuation and these electrical properties can be derived theoretically, while the relationship between electrical permittivity and snow wetness follows a known empirical formula, which also includes snow density. Snow wetness can therefore be determined from radar wave attenuation if the relationship between electrical conductivity and snow wetness is also known. In a laboratory test, three sets of measurements were made on initially dry 1 m thick snowpacks. Snow wetness was controlled by stepwise addition of water between radar measurements, and a linear relationship between electrical conductivity and snow wetness was established.

scholarly journals The relationship between neonatal factors and involving with glucose-6-phosphate dehydrogenase deficiency (G6PD) and patients' outcome in Fars Province

2018 ◽  
Vol 5 (1) ◽  
pp. 15-21
Author(s):  
Salman Daliri ◽  
Khairollah Asadollahi ◽  
Mir Hadi Musavi ◽  
Arezou Karimi ◽  
Gholam Ali Khademi ◽  
...  
Keyword(s):  
Dehydrogenase Deficiency ◽  
Fars Province ◽  
Glucose 6 Phosphate Dehydrogenase ◽  
The Relationship

scholarly journals Investment, Employment and Financial Performance Evidence from Cooperative Enterprises of Fars province

2019 ◽  
Vol 2 (2) ◽  
pp. 01-15 ◽  
Author(s):  
Javad Moradi ◽  
Marzieh Nematollahi
Keyword(s):  
Financial Performance ◽  
Sampling Method ◽  
Fars Province ◽  
Return On Assets ◽  
Economic Problems ◽  
Industrial Sectors ◽  
Meaningful Relationship ◽  
Significant Difference ◽  
Cooperative Enterprises ◽  
The Relationship

Investing huge resources in different parts of economic and industrial sectors to increase and promote public welfare and also, provide opportunities for country`s reserves’ growth. Therefore, identifying accurate opportunities for investment is critical, since it helps investors to know the maximum benefits to the economy coupled with the greatest influences in removing the country`s economic problems and difficulties, especially in employment. This article investigates the relationship between investments, employment and the financial performance of the active cooperative enterprises of Fars province in Iran. Based on the considered conditions, 120 firms were selected from the population on the basis of the classified random sampling method during the period 2006-2011. The findings indicate that there is a positive and meaningful relationship between investment and employment in cooperative enterprises. Also, the results show that there is a significant difference among the financial performance of cooperative enterprises in different sectors on the basis of invested capital. Specifically, the increasing investments in agricultural and industrial sectors have led to higher Return On Assets (ROA) ratio.

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