BORRBangladesh Open Research Repository
SearchSubmitAboutContact
BORRResearch for a Better Bangladesh.
AboutSubmit PaperContactTermsPolicyGitHub

© 2026 Bangladesh Open Research Repository.

Filters

Sort By

Sort by relevanceSort by dateSort by citations
Year Range
to

Results for “"Ahmad Sharafati"”

3 results

Forecasting standardized precipitation index using data intelligence models: regional investigation of Bangladesh

Verified

Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mumtaz Ali, Ahmad Sharafati, Nadhir Al‐Ansari et al.

Journal: Scientific ReportsYear: 2021Citations: 109

A noticeable increase in drought frequency and severity has been observed across the globe due to climate change, which attracted scientists in development of drought prediction models for mitigation of impacts. Droughts are usually monitored using drought indices (DIs), most of which are probabilis...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
Read Source

Projection of Agricultural Water Stress for Climate Change Scenarios: A Regional Case Study of Iraq

Verified

Saleem A. Salman, Shamsuddin Shahid, Ahmad Sharafati, Golam Saleh Ahmed Salem et al.

Journal: AgricultureYear: 2021Citations: 53

Assessment of possible changes in crops water stress due to climate alteration is essential for agricultural planning, particularly in arid regions where water supply is the major challenge for agricultural development. This study aims to project climatic water availability (CWA) and crop water dema...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
Read Source

Uncertainty analysis for AI-based regional flood frequency analysis methods in Australia

Verified

Nilufa Afrin, Ataur Rahman, Sadia T. Mim, Ahmad Sharafati et al.

Journal: Hydrological Sciences JournalYear: 2026

This study undertakes an uncertainty analysis for two regional flood frequency analysis techniques (random forest regression (RFR) and multiple linear regression (MLR)). This uses data from 201 gauged catchments of south-east Australia. To quantify uncertainty, a synthetic dataset comprising 15,000 ...

Monte Carlo methodUncertainty analysisStatisticsOpen Access
Read Source
PreviousPage 1 of 1Next