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 Spatial variability of apparent electrical conductivity and soil properties in a coffee production field

2014 ◽  
Vol 34 (6) ◽  
pp. 1224-1233 ◽  
Author(s):  
Domingos S. M. Valente ◽  
Daniel M. de Queiroz ◽  
Francisco de A. de C. Pinto ◽  
Fábio L. Santos ◽  
Nerilson T. Santos
Keyword(s):  
Electrical Conductivity ◽  
Spatial Variability ◽  
Soil Properties ◽  
Precision Agriculture ◽  
Chemical Properties ◽  
Coffee Production ◽  
Management Zones ◽  
Apparent Electrical Conductivity ◽  
The Relationship ◽  
Dense Sampling

Precision agriculture based on the physical and chemical properties of soil requires dense sampling to determine the spatial variability of these properties. This dense sampling is often expensive and time-consuming. One technique used to reduce sample numbers involves defining management zones based on information collected in the field. Some researchers have demonstrated the importance of soil electrical variables in defining management zones. The objective of this study was to evaluate the relationship between the spatial variability of the apparent electrical conductivity and the soil properties in the coffee production of mountain regions. Spatial variability maps were generated using a geostatistical method. Based on the spatial variability results, a correlation analysis, using bivariate Moran's index, was done to evaluate the relationship between the apparent electrical conductivity and soil properties. The maps of potassium (K) and remaining phosphorus (P-rem) were the closest to the spatial variability pattern of the apparent electrical conductivity.

scholarly journals Carbon Stock Stratification of Peat Soils in South Kalimantan, Indonesia

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Siti Zakiah ◽  
Muhammad Noor ◽  
Dedi Nursyamsi
Keyword(s):  
Soil Carbon ◽  
Carbon Stock ◽  
Chemical Properties ◽  
Peat Soils ◽  
Total N ◽  
Soil Carbon Stock ◽  
Physical And Chemical ◽  
The Relationship ◽  
Very High ◽  
And Chemical Properties

<p>Carbon stock in peat soils is very high, it is necessary to prudent in its management because peat soils is emitting greenhouse gases such as CO<sub>2</sub> during land clearing due to oxidation of peat layer.  This research was conducted to study soil carbon stock stratification in relation to soil physical and chemical properties. The carbon stock stratification was based on maturity degrees of peat.  The study was conducted in Pulau Damar Village, Hulu Sungai Utara District, South Kalimantan Province on land use rubber.  The location of the study area was determined by using the purposive sampling method.  All data obtained were analyzed by Excel spreadsheets and drawn on a CorelDraw 12. The results showed that the amount of carbon stock was influenced by the maturity degrees of peats, peat sapric degres has higher carbon stock than of hemik and fibric with a ratio of  2.0: 1.5: 1.  The relationship between soil carbon stock with soil physic (Bulk Density, BD) and chemical properties (pH, Eh, Fe, and total-N) were not significantly.</p>

scholarly journals Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of Algeria

2018 ◽  
Vol 36 (1) ◽  
pp. 27-35 ◽  
Author(s):  
Chemss Eddine Bouhadeb ◽  
Mohamed Redha Menani ◽  
Hamza Bouguerra ◽  
Oussama Derdous
Keyword(s):  
Vegetation Cover ◽  
Soil Loss ◽  
Erosion Rate ◽  
Geographical Information ◽  
Rainfall Erosivity ◽  
Natural Environments ◽  
North East ◽  
The North ◽  
Soil Erosion Rate ◽  
Very High

AbstractThis study aims to estimating annual soil erosion rate and its spatial distribution in the Bou Namoussa water-shed located in the North-East of Algeria by applying the revised universal soil loss equation (RUSLE) within a Geographical Information System environment (GIS). The application of the RUSLE model in different natural environments and on every scale takes into account five key factors namely: the rainfall erosivity, the soil erodibility, the steepness and length of slopes, the vegetation cover and the conservation support practices. Each of these factors was generated in GIS as a raster layer, their combination, resulted in the development of a soil loss map indicating an average erosion rate of 7.8 t·ha−1·y−1. The obtained soil loss map was classified into four erosion severity classes; low, moderate, high and very high severity representing respectively 40, 30.48, 22.59 and 6.89% of the total surface. The areas, showing moderate, high and very high erosion rates which represent more than half of the basin area were found generally located in regions having high erodibility soils, steep slopes and low vegetation cover. These areas should be considered as priorities in future erosion control programs in order to decrease the siltation rate in the Cheffia reservoir.

scholarly journals ALGAE AS BIOINDICATORFOR POLLUTION OF TIGRIS RIVER BY INDUSTRIAL WASTE

2020 ◽  
Vol 5 (5) ◽  
pp. 58-64
Author(s):  
Zahraa Zahraw ◽  
Abdul-Hameed Al-Obaidy ◽  
Eman Shakir ◽  
Shaymaa Hamdy
Keyword(s):  
Electrical Conductivity ◽  
Vegetable Oil ◽  
Industrial Waste ◽  
Chemical Properties ◽  
Oil Industry ◽  
Dominant Group ◽  
Tigris River ◽  
Before And After ◽  
Very High ◽  
And Chemical Properties

This study has been conducted during 2016, the samples were collected from discharge of General Company for Vegetable Oil Industry before and after treatment in Baghdad city. Some parameters were measured such as: Temperature, pH, Electrical Conductivity, Dissolve Oxygen and Phosphate, all reading before treatment are very high but the readings degreased rapidly after treatment. In contrast, oxygen concentration before treatment was low and elevated after treatment so much until reaches to the optimal condition for all biological and chemical properties. In this study 37 species of algal were recorded. The dominant group by the large number of species was Bacillarariophyce (24 species) followed by Cyanophycea (6species), Chlorophayce (5 species), Euglenophyceae (1species). This study shows that species recorded in the this studyeventually will stilted in Tigris river as a result of the discharge processing of this facility, therefore, some species can be found in Tigris river basin come from General Company for Vegetable Oil Industry.

Preliminary results of the study on the reasons of the Hai Hau erosion phenomenon

2007 ◽  
Vol 29 (3) ◽  
pp. 415-426
Author(s):  
Pham Van Ninh ◽  
Phan Ngoc Vinh ◽  
Nguyen Manh Hung ◽  
Dinh Van Manh
Keyword(s):  
Mathematical Modeling ◽  
Historical Data ◽  
Middle Part ◽  
Red River ◽  
Erosion Process ◽  
Red River Delta ◽  
The North ◽  
Severe Erosion ◽  
North And South ◽  
Very High

Overall the evolution process of the Red River Delta based on the maps and historical data resulted in a fact that before the 20th century all the Nam Dinh coastline was attributed to accumulation. Then started the erosion process at Xuan Thuydistrict and from the period of 1935 - 1965 the most severe erosion was contributed in the stretch from Ha Lan to Hai Trieu, 1965 - 1990 in Hai Chinh - Hai Hoa, 1990 - 2005 in the middle part of Hai Chinh - Hai Thinh (Hai Hau district). The adjoining stretches were suffered from not severe erosion. At the same time, the Ba Lat mouth is advanced to the sea and to the North and South direction by the time with a very high rate.The first task of the mathematical modeling of coastal line evolution of Hai Hau is to evaluate this important historical marked periods e. g. to model the coastal line at the periods before 1900, 1935 - 1965; 1965 - 1990; 1990 - 2005. The tasks is very complicated and time and working labors consuming.In the paper, the primarily results of the above mentioned simulations (as waves, currents, sediments transports and bottom - coastal lines evolution) has been shown. Based on the obtained results, there is a strong correlation between the protrusion magnitude and the southward moving of the erosion areas.

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