24 June 2025
By establishing a strategic partnership in Kazakhstan, BWI is expanding internationally to support the country’s transition toward more sustainable and technology-driven water resource management.
23 June 2025
The Nile River Basin stretches across 11 countries and supports over 300 million people, yet its waters are under growing stress from climate change, population growth, and competing national interests. With 85% of the Nile’s flow originating in Ethiopia and Egypt relying on it for 97% of its water needs, the stakes are high. This post explores the basin’s hydrology, geopolitical tensions, and the urgent need for cooperation, forecasting, and data transparency in managing Africa’s most vital river.
17 June 2025
Pakistan’s rivers and glaciers sustain its farms, cities, and energy systems — yet this lifeline is under mounting pressure. With over 7,000 glaciers, five major basins, and one of the world’s most complex transboundary water treaties, Pakistan sits at the crossroads of hydrology, climate risk, and diplomacy. From record-breaking floods to critical groundwater depletion, this blog explores how Pakistan is navigating water scarcity, disaster risk, and basin digitization — and what’s at stake for its future.
16 June 2025
Uganda’s rich river network offers both promise and peril as climate extremes reshape the country’s hydrological future.
17 May 2025
Validate river data with 3 key tests: KS (model fit), MK (trend), and Pettitt (break). Simple tools, powerful insights. #hydrology
30 April 2025
A rating curve is established by measuring river discharge at various water levels—without needing a weir or Venturi channel—using tools like a current meter or ADCP, and correlating these values to create a reliable stage-discharge relationship.
12 April 2025
Industries that consume the most surface water and why it matters.
12 April 2025
19 February 2025
Explore Rwanda’s hydrology, its challenges, and opportunities in water management for energy, agriculture, and sustainability.
3 February 2025
BWI’s Virtual Station approach integrates remote sensing, hydrological modeling, and machine learning to provide real-time, scalable hydrological forecasts for global water management.