Artificial Neural Networks for Estimating Soil Water Retention Curve Using Fitted and Measured Data
المؤلفون المشاركون
Moreira de Melo, Tirzah
Pedrollo, Olavo Correa
المصدر
Applied and Environmental Soil Science
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-03-16
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Artificial neural networks for estimating the soil water retention curve have been developed considering measured data and require a large quantity of soil samples because only retention curve data obtained for the same set of matric potentials can be used.
In order to preclude this drawback, we present two ANN models which tested the performance of ANNs trained with fitted water contents data.
These models were compared to a recent new ANN approach for predicting water retention curve, the pseudocontinuous pedotransfer functions (PTFs), which is also an attempt to deal with limited data.
Additionally, a sensitivity analysis was carried out to verify the influence of each input parameter on each output.
Results showed that fitted ANNs provided similar statistical indexes in predicting water contents to those obtained by the pseudocontinuous method.
Sensitivity analysis revealed that bulk density and porosity are the most important parameters for predicting water contents in wet regime, whereas sand and clay contents are more significant in drier conditions.
The sensitivity analysis for the pseudocontinuous method demonstrated that the natural logarithm of the matric potential became the most important parameter, and the influences of all other inputs were reduced to be not relevant, except the bulk density.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Moreira de Melo, Tirzah& Pedrollo, Olavo Correa. 2015. Artificial Neural Networks for Estimating Soil Water Retention Curve Using Fitted and Measured Data. Applied and Environmental Soil Science،Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1052405
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Moreira de Melo, Tirzah& Pedrollo, Olavo Correa. Artificial Neural Networks for Estimating Soil Water Retention Curve Using Fitted and Measured Data. Applied and Environmental Soil Science No. 2015 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1052405
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Moreira de Melo, Tirzah& Pedrollo, Olavo Correa. Artificial Neural Networks for Estimating Soil Water Retention Curve Using Fitted and Measured Data. Applied and Environmental Soil Science. 2015. Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1052405
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1052405
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر