Academic Journal

Estimation of infiltration rate from soil properties using regression model for cultivated land

التفاصيل البيبلوغرافية
العنوان: Estimation of infiltration rate from soil properties using regression model for cultivated land
المؤلفون: Ghanshyam Tikaram Patle, Tatung Taka Sikar, Kishan Singh Rawat, Sudhir Kumar Singh
المصدر: Geology, Ecology, and Landscapes, Vol 3, Iss 1, Pp 1-13 (2019)
بيانات النشر: Taylor & Francis Group, 2019.
سنة النشر: 2019
المجموعة: LCC:Ecology
LCC:Geology
مصطلحات موضوعية: Infiltration, bulk density, particle density, organic carbon, multiple linear regression model, Sikkim, Ecology, QH540-549.5, Geology, QE1-996.5
الوصف: The study was conducted on cultivated land at College of Agricultural Engineering and Post Harvest Technology (CAEPHT campus), Ranipool, Gangtok, Sikkim, India. Twenty five points were identified at 10 m grid interval and field measurements were performed using double ring infiltrometer method. Result of soil analysis suggests sandy loam and loamy sand texture and the bulk density and particle density have varied from 1.412–1.716 g/cm3 and 2–3.03 g/cm3, respectively. The basic infiltration rate has varied from 0.3 cm/h to 6.8 cm/h. Result show that sand, particle density and organic carbon content have a positive correlation with infiltration rate by 0.75, 0.18 and 0.22, respectively, whereas silt, clay, bulk density and moisture content, have a negative correlation with infiltration rate by −0.41, −0.73, −0.33 and −0.22, respectively. The analysis performed for five classes considering the combination of soil properties and subjected to regression analysis. Result shows that in order to predict soil infiltration rate based on few properties of soil with seven independent variables, multi-linear regression model EIR = -30,578.81–305.56(sand%)-306.16(silt%)-0.306.33(clay%)-5.18(BD%)+.34(MC%)+4.18(PD)+16.85(OC%) with R2(0.80), mean RMSE (1.52) and standard error (2.39) is the best model for the estimation of infiltration rate and recommended for the study area.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2474-9508
24749508
Relation: https://doaj.org/toc/2474-9508
DOI: 10.1080/24749508.2018.1481633
URL الوصول: https://doaj.org/article/ca4a1ec757f146cb80e62bac5c05e4b5
رقم الانضمام: edsdoj.4a1ec757f146cb80e62bac5c05e4b5
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24749508
DOI:10.1080/24749508.2018.1481633