Search Results - "Besalatpour, A"
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Assessment of the impact of climate change on spatiotemporal variability of blue and green water resources under CMIP3 and CMIP5 models in a highly mountainous watershed
Published in Theoretical and applied climatology (01-04-2019)“…The variability and uncertainty of water resources associated with climate change are critical issues in arid and semi-arid regions. In this study, we used the…”
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Climate change forecasting in a mountainous data scarce watershed using CMIP5 models under representative concentration pathways
Published in Theoretical and applied climatology (01-07-2017)“…Hydrology cycle of river basins and available water resources in arid and semi-arid regions are highly affected by climate changes. In recent years, the…”
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3
Estimating wet soil aggregate stability from easily available properties in a highly mountainous watershed
Published in Catena (Giessen) (01-12-2013)“…A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN),…”
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Quantitative analysis of the human intervention impacts on hydrological drought in the Zayande-Rud River Basin, Iran
Published in Journal of water and climate change (01-09-2022)“…In a human-dominated world, access to sustainable water resources has led to complex management policies that affect hydrological droughts. Applying the best…”
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Parallelization of AMALGAM algorithm for a multi-objective optimization of a hydrological model
Published in Applied water science (01-12-2023)“…A calibration procedure is essential step to achieve a realistic model simulation particularly in hydrological model which simulates water cycle in the basin…”
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A geographic information system‐based land use impact model to map areas with risk for land degradation: Wind erosion as an example
Published in Land degradation & development (30-05-2020)“…Wind erosion modeling is hampered by the complexity of the relationships between factors involved in this process and the absence of comprehensive empirical…”
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Interactive effects of co-inoculation of Bradyrhizobium japonicum strains and mycorrhiza species on soybean growth and nutrient contents in plant
Published in Journal of plant nutrition (02-01-2018)“…The main objective of this study was to investigate the effects of co-inoculation with different strains of Bradyrhizobium japonicum (i.e. Helinitro, Rizoking,…”
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Aggregation and fractal dimension of aggregates formed in sand dunes stabilized by PistachioPAM and PistachioPVAc mulches
Published in European journal of soil science (01-09-2017)“…Wind erosion is a serious environmental problem that has received increased attention by attracting the interest of academics, policy makers and the public. In…”
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Soil Particulate Organic Matter (POM) Prediction in a Mountainous Watershed using Artificial Neural Networks
Published in Communications in Soil Science and Plant Analysis (28-04-2015)“…Soil organic matter is a very important component of soil that supports the sustainability and quality in all ecosystems, especially in arid and semi-arid…”
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Soil shear strength prediction using intelligent systems: artificial neural networks and an adaptive neuro-fuzzy inference system
Published in Soil science and plant nutrition (Tokyo) (01-04-2012)“…Surface soil shear strength can be a useful dynamic index for soil erodibility and thus a measure of soil resistance to water erosion. In this study, we…”
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Feature Selection Using Parallel Genetic Algorithm for the Prediction of Geometric Mean Diameter of Soil Aggregates by Machine Learning Methods
Published in Arid land research and management (02-10-2014)“…Aggregate stability is a useful soil physical dynamic index of soil resistivity to surface wind and water erosion in all ecosystems, especially, in arid and…”
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Accuracy Analysis of Precipitation Regionalization Methods Based on Spatial Interpolation Techniques in Zayandeh-Rud River Basin
Published in Ulūm-i āb va khāk (01-06-2019)“…In the present study, we used 27 precipitation average monthly data from synoptic, climatologic, rain-guage and evaporative stations located in Zayandeh-Rud…”
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13
Landfarming Process Effects on Biochemical Properties of Petroleum-Contaminated Soils
Published in Soil & sediment contamination (01-01-2011)“…The presence of petroleum contaminants in soil may be toxic to humans, plants, and soil microorganisms. Therefore, remediation of these compounds from the…”
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Prediction of soil physical properties by optimized support vector machines
Published in International Agrophysics (01-04-2012)“…The potential use of optimized support vector machines with simulated annealing algorithm in developing prediction functions for estimating soil aggregate…”
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The Importance of Land Use Suitability for Runoff and Sediment Production in Beheshtabad Basin, Chaharmahal and Bakhtiari Province
Published in Ulūm-i āb va khāk (01-12-2019)“…To preserve soil as a productive resource, a balance between natural capability and utilization must be established to achieve through land suitability…”
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Germination and Growth of Selected Plants in a Petroleum Contaminated Calcareous Soil
Published in Soil & sediment contamination (01-11-2008)“…Difference in the ability of various crops to germinate and grow in contaminated soils should be better explored to choose the most appropriate plant species…”
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Identifying the determinant habitat characteristics influencing the spatial distribution of Ferula ovina (Boiss.) in semiarid rangelands of Iran using machine learning methods
Published in Ecological complexity (01-01-2021)“…•F. ovina is a vulnerable species whose habitat has been severely degraded.•CHAID method showed greater potential in predicting the F. ovina…”
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Prediction of soil wind erodibility using a hybrid Genetic algorithm – Artificial neural network method
Published in Catena (Giessen) (01-04-2020)“…•Soil erodibility was studied for a wide range of soils using wind tunnel experiments.•A new algorithm was designed to specify the main factors affecting soil…”
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Determining the features influencing physical quality of calcareous soils in a semiarid region of Iran using a hybrid PSO-DT algorithm
Published in Geoderma (01-12-2015)“…Soil physical quality indicators (SPQIs) are used to make complex information more accessible to decision makers; however, their site-specific nature may…”
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Prediction of soil physical properties by optimized support vector machines
Published in International Agrophysics (18-01-2021)Get full text
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