Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Khandaker Iftekharul Islam"'
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 3999 (2023)
Physically based hydrologic models require significant effort and extensive information for development, calibration, and validation. The study explored the use of the random forest regression (RFR), a supervised machine learning (ML) model, as an al
Externí odkaz:
https://doaj.org/article/3d25208fdc12425d97622e50993acd89
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 6076 (2022)
Since the middle of the 20th century, the peak snowpack in the Upper Rio Grande (URG) basin of United States has been decreasing. Warming influences snowpack characteristics such as snow cover, snow depth, and Snow Water Equivalent (SWE), which can a
Externí odkaz:
https://doaj.org/article/0e8c8a87e47749bb8cd332c46989e679
Correlation between Atmospheric Temperature and Soil Temperature: A Case Study for Dhaka, Bangladesh
Publikováno v:
Atmospheric and Climate Sciences. :200-208
The main intention of this study was to substantiate the relation between atmospheric temperature and soil temperature within a system boundary. The study focused on coefficient of correlation that demonstrates the association between two variables.
Autor:
Khandaker Iftekharul Islam
Publikováno v:
Journal of Water Resource and Protection. :973-987
The main intention of the study is to identify appropriate indicator to create a model that represents water resource status for a specific system boundary. The report will assess the different scientific approaches associated with water resource eng