a platform for evaluating the latest hydrological, climatic and water quality sensors and in parallel evaluating the latest dynamic models of these resultant high frequency data
Hosagadde is one of a series of watersheds in the Aghanashini basin (Uttara Kannada, India) that is subject to continued hydrological monitoring by colleagues at ATREE and FERAL as part of the Hydrologic and Carbon Services in the Western Ghats project (WGhats). The sites are part of the Critical Zone Exploration Network. In connection with the WGhats project, the site has also been used for training of students in India in field hydrology.
In August 2015, the Hosagadde watershed was equipped with additional SMART telemetry sensors for rainfall, and a trial was performed with SMART sensors measuring water quality variables at a high frequency.
Location of the site can be found on our interactive map.
Hobo RX3000 remote monitoring system measuring rainfall at Hosagadde watershed.
Coordinates: N 14° 28′ 43.1″, E 74° 45′ 33.3″
Area: 104.5 ha
Land Cover: Tropical evergreen forest & agricultural plantations
Geology: Metamorphic rock
Soils: FAO Eutric Nitosol
Rainfall: 6,457 mm (2013 monsoon, arithmetic mean of 26 rain gauges)
SMART sensors: Hobo RX3000 (telemetry) for rainfall (5-min monitoring).
i::scan, ph::lyser and con::cube system for turbidity, UV254, colour, DOC, TOC and pH (5-min monitoring).
SMART models: RIVC Streamflow-DOC concentration
Landowner: Mr Balu Hegde
Bridge over the Hosagadde stream
Upstream view of the Hosagadde stream
The following images give an insight into the SMART sensor system set up at the Hosagadde watershed:
Stilling well installed on existing infrastructure for securing SMART i::scan and ph::lyser sensors in the Hosagadde stream
con::cube controller and associated batteries secured nearby to the stilling well in container with waterproof protection
The datasets for the Hosagadde watershed include:
August 2015 trial period: turbidity, TOC, DOC, colour, UV254 (5-min sampling interval)
August 2015 – present: rainfall (5-min sampling interval)
Please contact us if you are interested in using our datasets.
SMART model identification routines (namely the RIVC algorithm) have been applied to the high-frequency (5-min) observations recorded through contiguous storms at Hosagadde. We are able to simulate the rapid dynamics observed in the DOC concentration data (measured using the i::scan/con::cube SMART sensor system) directly from streamflow data.
Comparison of simulated DOC concentration (mg/L; red line) and observed DOC concentration (mg/L;blue line) at Hosagadde. DOC concentration was modelled directly from streamflow observations using the RIVC algorithm (based on transfer functions). The identified model is a purely linear first-order continuous-time transfer-function model.
The deployment of SMART sensors at Hosagadde has been an important aspect of the NERC-funded Hydrologic and Carbon Services in the Western Ghats project. This project brings together many institutions and disciplines with the aim of improving our understanding of the nature of extreme rainfall events and hydrologic and carbon regulatory effects of forest degradation and reforestation.
The project objectives are:
A presentation with further details of this project was recently given at an India-UK Water Security Exchange Initiative meeting of senior water managers and decision makers to share knowledge on water security. Click here to view the presentation.
©2015 Lancaster University