Discovery Nature

  • Home

Volume 3, Issue 5, January - June 2026 (Forthcoming Issue)

About the Cover

The Accuracy of Global Positioning System (GPS) Station Configuration is a key to any scientific research involving GPS data. Many types of random errors or biases affect both GPS pseudo range and carrier phase measurements. These errors may arise from satellite, receiver or due to signal propagation. This research intends to employ Mean Square Error Analysis among other techniques that could be used in the evaluation of GPS Station configuration. The study involves two Continuously Operating Reference (COR) stations, one from Mpape and the Other one from National Space Research and Development (NASRDA), both in Abuja; with none of them as reference station. The study revealed that station-specific factors (geometry, local environment, antenna setup or processing choices) control whether vertical or horizontal errors dominate; therefore station-level diagnostics: Dilution of Precision (DOP) values, multipath indicators, residual time series; should be examined before combining stations or generalizing accuracy estimates.


Previous

REPORT

Evaluating GPS Station Configuration Using Root Mean Square Error Analysis

Adamu Ibrahim, Muhammad Adamu Bojude, Maidala Abba Mala, Lungfa Collins Wuyep

The Accuracy of Global Positioning System (GPS) Station Configuration is a key to any scientific research involving GPS data. Many types of random errors or biases affect both GPS pseudo range and carrier phase measurements

Discovery Nature, 2026, 3(5), e1dn3153

Abstract | PDF

ARTICLE

Water bearing unit, not everywhere; Resistivity study of shallow aquifer around Patani Milieu, Niger delta region of Nigeria

Eyankware MO, Emudiaga OE, Ukor KP, Okudibie EJ

This study was carried out to identify shallow aquifers in a number of villages in Southern Ughelli North and the Patani Local Government Area of Delta State, in Southern Nigeria, using vertical electrical sounding (VES) with the Schlumberger electrode configuration.

Discovery Nature, 2026, 3(5), e2dn3159

Abstract | PDF
Creative Commons License

© The Author(s) 2026. Open Access. This article is licensed under a Creative Commons Attribution License 4.0 (CC BY 4.0).