Two years ago I completed my PhD at Cranfield University. Now, after a postdoc at University of Leeds, I am back at Cranfield working on a NERC-funded project on social-economic-environmental trade-offs in managing the land-river interface. The start of my new job at Cranfield coincided with the publication of the last paper of my PhD, called “Temporal variation in suspended sediment transport: linking sediment sources and hydro-meteorological drivers”.  So, before getting into the exciting details of the new project, let’s talk about sediment!

diagram of river 1

What do we mean by suspended sediment? Well, basically, when it rains and water falls onto the earth’s surface, it can cause very fine particles (from different surfaces, such as soils and streets) to be transported together with the flowing water towards the river. Once the particles are in the river, we call it sediment. Sediment is an important aspect of rivers, as these particles carry nutrients from the land and they form the building blocks of aquatic habitats. However, too much sediment can also cause problems to these habitats, and sediment particles are also known to carry pollutants. Therefore, scientists and river managers are very much interested in understanding sediment transport in rivers.

Let’s now zoom out a bit and look at an entire river catchment that consists of four types of land use (grassland, forest, agriculture, urban).  Suppose it starts raining and particles are being transported from land towards the river from all across the catchment (situation 1). As a result of this, we get a mixture of sediment coming from the surface of the four types of land use. Alternatively, when it is only raining in the upper left part of the catchment, we get mainly particles from the grassland area (situation 2), while only rain in the right part of the catchment will mainly cause particles from forest and urban area to be transported to the river (situation 3).

River bed image 1
River bed image 2
Situation 1: rainfall in entire catchment
muddy river picture 3

Situation 2: rainfall in upper left part of the catchment
muddy river picture 4

Situation 3: rainfall in right part of the catchment

In each of these three situations, the amount and source of the sediment will be different. However, if we take a sediment sample at the outlet of the river catchment in each of these situations, we can calculate how much sediment is in our sample, but we cannot actually see where the sediment comes from. From the mixed sediment sample, we simply cannot see what the main sources of the sediment are.

muddy river picture 6

Why would we want to know the source of the sediment? Understanding how much sediment there is in the river, where it comes from, and how it varies over time as a result of variations in rainfall, provides very important information that can help us better predict and monitor fine sediment in rivers and develop targeted management strategies. But because sediment studies in rivers are based on the mixed sediment samples, we miss important information about the bigger picture (catchment).

That is why our recently published paper applied a technique called “sediment fingerprinting”, which basically aims at identifying the sources of sediment in a mixed sample. The technique characterises sediment from the different sources (land use types) (which we did using Infrared Spectroscopy), and then include these characteristics into a statistical model to “un-mix” our samples into the contributions of the sources.

sediment fingerprint

Identifying the sediment fingerprint of each sediment source
sediment sources

Un-mixing sediment sample in contributions of sediment sources with statistical model

We applied this technique to the River Aire in Leeds (UK) to identify the most important sediment sources of fine sediment in the River Aire, and most importantly, investigate how these sources vary over time as a result of variations in rainfall and river flow. By linking information obtained through sediment fingerprinting with detailed rainfall and river discharge data, we were able to construct a bigger (sediment) picture for the River Aire catchment.

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