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Evaluation of the Compaction of a No-Till Vertisol Field Using Methods of Cone Index and Pedotransfer Function in Semi-arid Context of Morocco

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Journal of Agricultural Science and Technology(A) 2019年第3期9卷 141-150页

作者： Al Masmoudi Yassine El Aissaoui Abdellah ibno namr khalid Laboratory of Geosciences and Environment Technics Faculty of ScienceChouaib Doukkali UniversityEl-Jadida 24000Morocco Laboratory of Agricultural Engineering National Institute of Agricultural ResearchSettat 26000Morocco

This study evaluated compaction level of a 15-year old no-till vertisol field crop(40.91%clay,44.16%loam and 14.93%sand)having organic matter contents of 2.23%and 2.91%in 0-10 cm and 10-20 cm profiles,*** bulk density ranged from 1.30 g/cm^3 to 1.80 g/cm^3 in the field boundaries,and from 1.01 g/cm^3 to 1.40 g/cm^3 in its *** field showed a gradient of limestone from 3%to 13%.Measurements were done to evaluate soil strength(cone index)and soil plasticity(Atterberg limits).The soil strength showed different levels of compaction from 4.5 MPa to 16 MPa to distinct five spatial clusters in the *** soil compactness was related to limestone gradient according the correlation found between the soil strength and limestone *** soil plasticity test showed occurrence of plastic limits when the moisture content decreased from 26%to 15%within 5 d *** Atterberg limits showed the importance of respecting intervention delays to avoid soil compaction due to its plasticity.A pedotransfer function was developed using soil parameters of texture,organic matter,bulk density,cohesion,internal friction angle and moisture content to compute its precompression *** showed importance of compaction in the field extremities due to importance of machines/tools traffic without avoiding cropping interventions during soil plasticity *** soil strength(as measured value)was correlated to precompression stress(as estimated values)to show the importance of using pedotransfer function as significant method to evaluate indirectly compactness or susceptibility to compaction of the studied vertisol.

关键词： Compaction vertisol strength Atterberg limits limestone pedotransfer function

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Evaluation of Landsat 8 image pansharpening in estimating soil organic matter using multiple linear regression and artificial neural networks

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Geo-Spatial Information Science 2022年第3期25卷 353-364页

作者： Abdelkrim Bouasria khalid ibno namr Abdelmejid Rahimi El Mostafa Ettachfini Badr Rerhou Faculty of Sciences Chouaib Doukkali UniversityEl JadidaMorocco Agricultural Development Department Doukkala Regional Agricultural Development OfficeEl JadidaMorocco Soil Science Department Hassan II Agronomic and Veterinary InstituteRabatMorocco

In agricultural systems,the regular monitoring of Soil Organic Matter(SOM)dynamics is *** task is costly and time-consuming when using the conventional method,especially in a very fragmented area and with intensive agricultural activity,such as the area of Sidi *** study area is located in the Doukkala irrigated perimeter in *** data can provide an alternative and fill this gap at a low *** to predict SOM from a satellite image,whether linear or nonlinear,have shown considerable *** study aims to compare SOM prediction using Multiple Linear Regression(MLR)and Artificial Neural Networks(ANN).A total of 368 points were collected at a depth of 0-30 cm and analyzed in the *** image at 15 m resolution(MSPAN)was produced from a 30 m resolution(MS)Landsat-8 image using image pansharpening processing and panchromatic band(15 m).The results obtained show that the MLR models predicted the SOM with(training/validation)R^(2)values of 0.62/0.63 and 0.64/0.65 and RMSE values of 0.23/0.22 and 0.22/0.21 for the MS and MSPAN images,*** contrast,the ANN models predicted SOM with R2 values of 0.65/0.66 and 0.69/0.71 and RMSE values of 0.22/0.10 and 0.21/0.18 for the MS and MSPAN images,*** pansharpening improved the prediction accuracy by 2.60%and 4.30%and reduced the estimation error by 0.80%and 1.30%for the MLR and ANN models,respectively.

关键词： Digital soil mapping soil organic matter remote sensing multiple linear regression artificial neural networks irrigated area Doukkala Morocco

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The Assessment of Soil Quality in the Irrigated Area in the Perimeter Low-Service of Doukkala for the Two Lockers Sidi Bennour and Sidi S’mail in Morocco

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Journal of Life Sciences 2018年第4期12卷 195-201页

作者： Kaoutar Doumali khalid ibno namr Chouaib Doukkali University Faculty of ScienceDepartment of GeologyBP.20El Jadida 24000Morocco

The Doukkala-Abda region covers an area of about 13,285 km^2 representing 1.87%of *** agricultural area is 428,000 ha of which 96,000 ha of large irrigation schemes,8,250 ha of private irrigation in coastal areas and 327,800 ha of rainfed *** two large irrigation perimeters of Doukkala are the low-service with an area of 61,000 ha and the high service with an area of 35,000 *** the implementation of irrigation perimeter down service Doukkala,he experienced an imbalance both in the ground and *** first,the state of the quality of soil Doukkala is not ***,observation and comparison of test results between soils in different years seem significant on the evolution of soil quality parameters(organic matter,Phosphorus olsen,pH and salinity)under intensive farming *** measures for rehabilitation and prevention are to be taken immediately in order to identify these problems and prevent them from *** methodology for the realization of this work consists of sampling,measurements in situ and analysis of soil quality *** analyses reveal that the soils of Doukkala are poor in organic matter and very rich in phosphorus,with an alarming rate of salinity evolution comparing the results of different years which must be taken into account to prevent the problem from occurring spread and preserve the soil.

关键词： Low service imbalance irrigation degeneration quality

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