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Methodology for Developing Hydrological Models Based on an Artificial Neural Network to Establish an Early Warning System in Small Catchments
المؤلفون المشاركون
Sušanj, Ivana
Ožanić, Nevenka
Marović, Ivan
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-12-30
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
In some situations, there is no possibility of hazard mitigation, especially if the hazard is induced by water.
Thus, it is important to prevent consequences via an early warning system (EWS) to announce the possible occurrence of a hazard.
The aim and objective of this paper are to investigate the possibility of implementing an EWS in a small-scale catchment and to develop a methodology for developing a hydrological prediction model based on an artificial neural network (ANN) as an essential part of the EWS.
The methodology is implemented in the case study of the Slani Potok catchment, which is historically recognized as a hazard-prone area, by establishing continuous monitoring of meteorological and hydrological parameters to collect data for the training, validation, and evaluation of the prediction capabilities of the ANN model.
The model is validated and evaluated by visual and common calculation approaches and a new evaluation for the assessment.
This new evaluation is proposed based on the separation of the observed data into classes based on the mean data value and the percentages of classes above or below the mean data value as well as on the performance of the mean absolute error.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sušanj, Ivana& Ožanić, Nevenka& Marović, Ivan. 2016. Methodology for Developing Hydrological Models Based on an Artificial Neural Network to Establish an Early Warning System in Small Catchments. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1095703
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sušanj, Ivana…[et al.]. Methodology for Developing Hydrological Models Based on an Artificial Neural Network to Establish an Early Warning System in Small Catchments. Advances in Meteorology No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1095703
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sušanj, Ivana& Ožanić, Nevenka& Marović, Ivan. Methodology for Developing Hydrological Models Based on an Artificial Neural Network to Establish an Early Warning System in Small Catchments. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1095703
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1095703
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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