Hydrology Corner Blog: water data

Hydrology Water Processes Policies

Just How Dense Are We? Does Our Choice of Dimension Affect Our Understanding of Water Processes & Policies?

We usually report water quantity information as a volumetric rate (e.g. m3/s); we usually report water quality information as a concentration (e.g. mg/l); and we usually report precipitation as a length (e.g. mm). But we don’t have to. The mass of water is related to its volume by its density which, conveniently, can be assumed to be unity (1). This means that we could just as easily report water information using the dimension of mass. Would reporting water information in a different dimension change the way that we understand water?

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

Soothing a Sting to the Integrity of Science

Scientific knowledge shapes many of our collective beliefs and decisions, but what of its integrity? It’s a question that’s receiving increasing attention, most recently because of a strategically orchestrated sting operation by Science Magazine’s John Bohannon involving the submission of intentionally flawed papers to over 300 open-access journals 1.  It revealed a less than pretty…

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

Lying with Statistics: Every Day Has 2 Midnights & Every Midnight has 2 Days

“It is easy to lie with statistics. It is hard to tell the truth without statistics.” Andrejs Dunkel. Time series statistics are awkward. Time series statistic are absolutely necessary. They distill the essential truth from very large volumes of data. The statistics that are most useful are very simple concepts such as max, min, mean…

Mitigating Risk for Risk Mitigation: What L’Aquila Means for Water Monitoring

On October 22, 2012, six Italian scientists and a government official were sentenced to 6 years in jail, given lifetime bans on holding public office, and ordered to pay compensation of €7.8m in connection with the L’Aquila earthquake. The 6.3 magnitude earthquake injured over 1,000 people and resulted in 300 deaths. The judgment was based…

Accuracy and Error of Hydrological Measurements – Part 2

Click here to read Part 1 – background about measurement accuracy and error, definitions and more This series of discussions are to first give you a scientific picture of hydrological measurement errors and then open the interesting discussion of how to automatically detect, validate and correct erroneous sensor data given the observations from Data Acquisition…

Accuracy and Error of Hydrological Measurements – Part 1

Environmental agencies and organizations invest huge amount of money to build the required hardware and software infrastructure for collecting and storing data from field sensors in order to extract valuable information hidden in the time series numbers about the environment. If the sensor measurements could not accurately represent the environmental parameter of interest, the extracted…