Hydrology Corner Blog: water quality data

AQUARIUS Samples Webinar

How to Solve 5 Common Discrete Water Sampling Challenges

It’s with great pleasure that I’m hosting this month’s webinar on February 28th about some of the most common discrete data management challenges. This topic comes up repeatedly in the field of environmental data management. Regardless of the size of your organization, I’m sure some of the challenges that we’re going to outline will resonate with you and your colleagues.

Is Time-Series Data Analysis an Endangered Activity?

Is Time Series Data Analysis an Endangered Activity?

I have been playing around with Paul Whitfield and Jennifer Dierauer’s Flowscreen R package designed for detecting trends and changepoints in hydrological time series and it got me thinking about how time series data analysis may be becoming an endangered activity. The immediate priority for any monitoring agency is to provide data for urgent requirements. Real-time data dissemination is king. You need to go well down the list of urgencies before you come to the requirements of future generations of hydrologists who have not yet been born.

The Weaponization of Water Data

Every change in the expected pattern of variability of water supply and quality poses a threat to the security of the water, food and energy we are dependent on for quality of life. Up until the very recent past conversations about the role of water data tended to be about development of, and management of, our water resources in a way that served environmental sustainability. Water data give us the means to identify the right balance between human and in-stream requirements and the evidence to ensure that such balance is respected.

The Economics of Hydrometric Data Quality

Data about water quantity and water quality are fundamental to some of the most important decisions made by engineers and in choices made by societies. Abundance and quality of water are critical factors in many aspects of our economy, our environment, and our social and physical well-being. It is the case than multiple water resources objectives must be simultaneously managed. The costs of sub-optimal water resources choices can be substantial. Uncertainty is antagonistic to optimization.

Water monitoring, Hydrology, Water data management software, Rating curve, Stage discharge curve

Monitoring Needed as “Science” Endorses the Keystone XL Pipeline

In a bold move, Marcia McNutt, the Editor-in-Chief of Science Magazine, one of the world’s top scientific journals, endorsed the Keystone XL pipeline late February1. The controversial pipeline, designed to transport heavy crude from Canada’s oil sands to US Gulf coast refiners, has been mired in controversy over its potential ecological and climate impacts. McNutt,…