احمد سعيد فتحي يوسف أبو زيد
أستاذ
Hussein, I. H., Abuzaid, A. S., Abdellatif, D. A., Abbas, H. H. 2023. Soil quality evaluation using GIS techniques: A case study of north Nile Delta, Egypt. Annals of Agric. Sci., Moshtohor, 61(1): 291-306. DOI: 10.21608/assjm.2023.316848
Annals of Agricultural Science, Moshtohor (ASSJM) • 2023
معلومات البحث
المؤلفون
Hussein, I. H., Abuzaid, A. S., Abdellatif, D. A., Abbas, H. H.
الكلمات المفتاحية
Soil quality index; GIS spatial analysis; fuzzy logic; North Nile Delta
المجلة العلمية
Annals of Agricultural Science, Moshtohor (ASSJM)
الناشر
Benha University
المجلد
61
العدد
1
الصفحات
291-306
publication.type
Local
رابط البحث
Open Link
المواد المرفقة
Not Available
الملخص
The present work aimed at using GIS spatial analysis tools to map soil quality (SQ) of the cultivated
lands for sustainable agricultural development. The study covers an area of about 2306.43 km2 in the north Nile
Delta of Egypt (31°08' 38" to 31° 36' 15.53" N and 31°01' 16.67" to 31° 54' 40.37" E). Thirty-two surface soil
samples (0 – 30 cm) were collected and analyzed for their chemical and physical properties. Within GIS
platform, raster layers for SQ indicators were generated using the inverse distance weight (IDW) technique.
They were normalized using fuzzy membership functions, and finally the fuzzified layers were integrated using
the geometric mean algorithm to develop the SQ maps. Results revealed that soils of very high and high
qualities covered nearly 32% of the total area. Soils of moderate quality occupied 18% of the total area, while
soils of very low and low qualities occupied 37% of the total area. To improve soil quality status, it is
recommended to cultivate salt-tolerant crops, apply leaching fraction, and construct sufficient drainage systems,
adopt organic and gypsum application, and operate tillage using appropriate equipment at proper time. The
proposed model would help in decision making for sustainable agronomic practices in the studied area.
lands for sustainable agricultural development. The study covers an area of about 2306.43 km2 in the north Nile
Delta of Egypt (31°08' 38" to 31° 36' 15.53" N and 31°01' 16.67" to 31° 54' 40.37" E). Thirty-two surface soil
samples (0 – 30 cm) were collected and analyzed for their chemical and physical properties. Within GIS
platform, raster layers for SQ indicators were generated using the inverse distance weight (IDW) technique.
They were normalized using fuzzy membership functions, and finally the fuzzified layers were integrated using
the geometric mean algorithm to develop the SQ maps. Results revealed that soils of very high and high
qualities covered nearly 32% of the total area. Soils of moderate quality occupied 18% of the total area, while
soils of very low and low qualities occupied 37% of the total area. To improve soil quality status, it is
recommended to cultivate salt-tolerant crops, apply leaching fraction, and construct sufficient drainage systems,
adopt organic and gypsum application, and operate tillage using appropriate equipment at proper time. The
proposed model would help in decision making for sustainable agronomic practices in the studied area.
