CORE FEATURES
Data integration from multiple sources like IoT sensors, satellites, API integrations, crowdsourcing through mobile apps etc
Near real time visibility with over 90% accuracy through AI models in combination with hydrology,hydraulic and crop models
Solution deployment on private/public cloud for different stakeholders
Enabling easy accessibility to desired information through the power of location with big data and analytics capabilities
User friendly interface and easy to comprehend GIS and MIS dashboards with insightful widgets assisting with actionable insights
Solution compatible to solve other water related problems
“We can’t manage what we can’t see. APWRIMS brings real-time visibility of water resources and helps managing the same efficiently to mitigate the impact of flood & drought. With Vassar Labs, we aspire to take APWRIMS to the next level for the welfare of the citizens and the state as a whole”
- A. Varaprasad Rao, Director (FAC), A.P.
Components of WRIMS
The system uses Hydrological and Mathematical models to predict inflows to the reservoirs for better and optimal operation. It helps to understand the amount of water that will be incoming into the reservoirs, or catchment area over the next few days. Visibility in the inflows leads to effective decision making ensuring optimal operations.
Reservoir level information like current storage, dead storage, flood cushion etc. are displayed in the form of a consolidated dashboard. The information is mainly obtained through the IoT based sensors that track time-tagged information and the system computes inflow to the reservoir along with the specific rules based on the upstream releases and rainfall run-off routing which aids in optimizing releases from the reservoirs.
The water budget assesses the villages/regions that are water surplus/water deficit for the proactive planning to mitigate deficit by supply/demand management. It helps in micro-level planning of water management and aids in ensuring an effective utilisation.
The system uses Hydrological framework computing the availability of water in smallest hydrological units with the help of various types of data integrated to the system and mapping it with demand in the assessment unit to assess whether the basin is in surplus/ deficit thus helping the decision makers in turn. Based on the forecasted inflows and downstream demand, advisory is raised for lift irrigation scheme operations.
The sophisticated system aids to identify MI tanks that need rejuvenation work for the clearance of vegetation. This helps in enhancing their capacity and aids in understanding the irrigation potential of any region.
Water availability to the crop is estimated through soil moisture assessment along with the weather forecast. Crop water requirement is estimated taking into account the type of crop and its age based on the crop phenology. This facilitates the estimation of deficit and accordingly irrigation is recommended. The system also considers the minimum water requirement to raise an advisory for dry spell mitigation in addition to the information on the closest water source to help with dry spell mitigation.
The sophisticated system assists with early insights to mitigate the risks like flood situation by identifying water yield at specific locations and identifying upcoming floods with understanding of its impact.
The system ensures sufficient time to mitigate the drought risks as a tool to declare drought for state authorities as per government of India drought manual. This module also provides stress for drinking water by accounting available and forecasted drinking water resources against demand.
The system estimates the amount of water required over the next 2 weeks at the reservoir level or individual off-take point level based on the crop sown, acreage sown, date of sowing, crop phenology, water releases season to-date, weather forecast and crop water requirement. Based on the estimated water requirement, canal releases at the project level as well as off-take point level can be efficiently managed.
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