Analysis of Trends and Abrupt Changes in Streamflow via Innovative Polygon Trend Analysis and BEAST Changepoint Detection DOI
Muhammad Lawal Abubakar,

A Tankó,

Khalid Ibrahim Richifa

et al.

World Water Policy, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

ABSTRACT Streamflow assessment is essential for managing water resources, enhancing agricultural output, and maintaining ecosystem health. This study examined the annual seasonal variability in streamflow Niger River, gauged at Baro Station. The data were obtained from NRBDA. coefficient of variation, Mann–Kendall trend test, modified innovative trend, polygon analysis used to assess trends gauging station. results revealed that stream flow moderately variable, with a CV 28%. variations within seasons ranged moderate, high very high. (ITA) all significantly increasing streamflow. ITA IPTA monthly increased Station may guide management policies other locations facing similar challenges by providing insights into how hydrological cycles are evolving regions might adapt these changes. concluded station experiencing significant trends. As around world increasingly impacted unpredictable rainfall more frequent extreme weather events, this provides shifts affect availability. recommended there need enhanced support productivity region.

Language: Английский

Assessment of spatiotemporal rainfall variability over the Niger Delta region, Nigeria: implications for water resource management DOI
Muhammad Lawal Abubakar, Muhammad Sambo Ahmed,

Ummu-Kulthum Aminu Ashiru

et al.

Hydrological Sciences Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Language: Английский

Citations

0

Assessing the influence of land surface temperature and sociodemographic factors on measles prevalence using AutoML and SHAP in Kaduna North, Nigeria DOI

R Muhammad,

Muhammad Lawal Abubakar

GeoJournal, Journal Year: 2025, Volume and Issue: 90(3)

Published: April 29, 2025

Language: Английский

Citations

0

Analysis of Trends and Abrupt Changes in Streamflow via Innovative Polygon Trend Analysis and BEAST Changepoint Detection DOI
Muhammad Lawal Abubakar,

A Tankó,

Khalid Ibrahim Richifa

et al.

World Water Policy, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

ABSTRACT Streamflow assessment is essential for managing water resources, enhancing agricultural output, and maintaining ecosystem health. This study examined the annual seasonal variability in streamflow Niger River, gauged at Baro Station. The data were obtained from NRBDA. coefficient of variation, Mann–Kendall trend test, modified innovative trend, polygon analysis used to assess trends gauging station. results revealed that stream flow moderately variable, with a CV 28%. variations within seasons ranged moderate, high very high. (ITA) all significantly increasing streamflow. ITA IPTA monthly increased Station may guide management policies other locations facing similar challenges by providing insights into how hydrological cycles are evolving regions might adapt these changes. concluded station experiencing significant trends. As around world increasingly impacted unpredictable rainfall more frequent extreme weather events, this provides shifts affect availability. recommended there need enhanced support productivity region.

Language: Английский

Citations

0