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SPATIAL PREDICTION OF SOIL SALINITY AND ITS IMPACT ON LAND EVALUATION IN SOME AREAS OF MENOUFIA GOVERNORATE USING REMOTE SENSING AND GIS
Titre : SPATIAL PREDICTION OF SOIL SALINITY AND ITS IMPACT ON LAND EVALUATION IN SOME AREAS OF MENOUFIA GOVERNORATE USING REMOTE SENSING AND GIS
Auteur : El-Medalaa, Hatem Mohamed Abd El-Fattah Hassan.
Etablissement de soutenance : Menoufia University
Grade : Master of Science (MS) in Agricultural Sciences (2020)
Résumé
The current investigation aims to study the geomorphological
and pedological characteristics including soil classification and land
capability evaluation for soils in the area located at southeast of ELSadat
city, Menoufia governorate, Egypt. Calculating soil available
water using soil water characteristic curve (SWCC), testing and
validating Van Genuchten (VG) model in simulating SWCC,
developing regression equations to predict the expected soil salinity
over time and land use/land cover change detection within 20 years
are also carried out. The integration of Remote Sensing (RS) and
Geographic Information System (GIS) techniques was used to
perform this work. This work could be presented important
information about the potentiality of land resources for proper
sustainable agriculture of these soils.
The interpretation of geomorphic map produced using RS and
GIS technology indicated that, there are three main identified
geomorphic units including eight landforms in this area. These units
are Alluvial Plain (Depression, Low and High Terraces), Aeolian
Plain (Low, High Terraces and Plateau) and Pedi Plain (Low and High
Terraces). Nineteen soil profiles were selected representing these
landforms.
The land and site features are observed and registered. Most of
soil profiles were dug deep down to 150 cm. Profiles were
morphologically described, and then disturbed and un disturbed soil
samples were collected representing the subsequent layers in each profile for integrated physical and chemical analyses. Also, some
available irrigation water samples were collected and analyzed
especially for land capability evaluation.
Page publiée le 26 février 2022