Keystone has been monitoring the spring discharge and water quality in Happy Valley with a view to build a long term dataset that would help in managing the water resources. The data and a spring hydrograph are shared below. The report uses the free Google Data Studio app.
In the increasingly uncertain times that we are going through, especially from the point of view of weather and climate, access to timely and local data pertaining to water resources and related factors is of immense value. Good data can also help in making good resource management decisions, although it is by no means the only requirement. This website is dedicated to sharing available knowledge in the public domain for anyone to access and contribute to better management of water resources in the Nilgiris. We hope that one day this will grow into an open data repository of crowdsourced data on the status of water resources in the region.
The rainfall data from Ralliah Dam collected with an automated rain gauge has been analysed and compared to the historic rainfall data from UPASI. The chart below summarises the comparison. While the rainfall in 2014 has been higher than the historical average during August - October, the rainfall has disappointed
Analysis of Time Series data on Rainfall for Coonoor (v0.1 dtd 06-03-2014) Dataset: Monthly rainfall in mm Period: Jan 1935 to Dec 2013 Source and Credit: UPASI, Coonoor. Obtained as hard copy. Raw data Data entered in Excel Sheet as two column (Data, rainfall in mm) and then saved as