This study evaluated the effects of slope and land use on the quality of agricultural land in Kurdistan Province. This was done using three indices (SQIa, SQIn, and SQIw), two scoring methods, and the TDS and MDS approaches for calculating them. K, pH, P, MWD, and CEC were the properties selected for the MDS using PCA analysis.
The main purpose of this study, is to evaluate an advanced feature selection technique, artificial bee colony algorithm, to reduce the number of auxiliary variables derived from a digital elevation model and remotely sensed data. A combination of depth functions and data miner methods were applied for three-dimensional mapping of soil organic matter in Big Sioux River watershed, South Dakota, USA.
The main purpose of this study, is to evaluate an advanced feature selection technique, artificial bee colony algorithm, to reduce the number of auxiliary variables derived from a digital elevation model and remotely sensed data. A combination of depth functions and data miner methods were applied for three-dimensional mapping of soil organic matter in Big Sioux River watershed, South Dakota, USA.
The aim of this study is to assess soil quality in salt-affected agricultural land, using three indices; the Additive Soil Quality Index, the Weighted Additive Soil Quality Index (SQIw), and the Nemoro Soil Quality Index. The SQIw index was the best performing index to assess soil quality.
The aim of this study is to assess soil quality in salt-affected agricultural land, using three indices; the Additive Soil Quality Index, the Weighted Additive Soil Quality Index (SQIw), and the Nemoro Soil Quality Index. The SQIw index was the best performing index to assess soil quality.
This paper investigates the 3D distribution of SOC to a depth of 1 m in a 4600-ha area with different land uses under the irrigated farming, dry farming, orchards, range plants on the Gachsaran formation, and range plants. Results showed that depth functions combined with digital soil mapping techniques provide a promising approach to evaluate 3D SOC distribution
This paper investigates the 3D distribution of SOC to a depth of 1 m in a 4600-ha area with different land uses under the irrigated farming, dry farming, orchards, range plants on the Gachsaran formation, and range plants. Results showed that depth functions combined with digital soil mapping techniques provide a promising approach to evaluate 3D SOC distribution
This study aims to identify the best method for reconstructions of instantaneous peak flow data to meet the needs of flood data availability for watershed management purposes especially reconstructions of flow in arid and semi-arid regions of Iran.
This study aims to identify the best method for reconstructions of instantaneous peak flow data to meet the needs of flood data availability for watershed management purposes especially reconstructions of flow in arid and semi-arid regions of Iran.
The aim of the this study is source identification of hydrocarbons in Shadegan wetland by applying different source apportionment methods so that appropriate measures can be considered for pollution prevention and risk management. A multi-criteria approach is needed to differentiate biogenic compositions from petroleum hydrocarbons.