کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4376256 | 1617495 | 2013 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Predicting the short-time-scale variability of chlorophyll a in the Elbe River using a Lagrangian-based multi-criterion analog model
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Predicting the short-time-scale variability of chlorophyll a in the Elbe River using a Lagrangian-based multi-criterion analog model Predicting the short-time-scale variability of chlorophyll a in the Elbe River using a Lagrangian-based multi-criterion analog model](/preview/png/4376256.png)
چکیده انگلیسی
⺠An analog model integrating a growth model and an intelligent prediction algorithm was constructed. ⺠A similitude index was designed to distinguish different samples. ⺠Four impact factors were selected as model inputs and assigned appropriate weights. ⺠The lowest weight value was assigned to silica, and the highest weight value was assigned to chlorophyll a. ⺠The results of the three-day predictions were acceptable.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Modelling - Volume 250, 10 February 2013, Pages 279-286
Journal: Ecological Modelling - Volume 250, 10 February 2013, Pages 279-286
نویسندگان
Xiaodong Zhao, Hongjian Zhang, Xiaolei Tao,