Description:The invention is an innovative sediment management system for reservoirs using a network of turbidity buoys and GIS-based watershed analysis. It involves the use of primary and secondary turbidity buoys to monitor the Total Suspended Solids (TSS) levels in real-time, which helps in identifying the source of sediment inflow into the reservoir. The system also uses artificial intelligence (AI) and regression techniques to analyze the degree of correlation between primary and secondary turbidity buoy readings to identify the source of sediments.
The primary turbidity buoys are installed within the reservoir and monitor the real-time TSS levels. The secondary turbidity buoys are installed in the main tributaries of the rivers supplying sediment to the reservoirs at suitable chainages, providing information on the source of sediments. All the turbidity buoys are equipped with wireless transmission capabilities that send the real-time data to a central server system.
The central server system is responsible for analyzing the data received from the turbidity buoys. It uses AI-based regression techniques to analyze the degree of correlation between primary and secondary turbidity buoy readings to identify the source of sediments. The system also uses GIS-based watershed analysis to analyze the watershed contributing sediment to the buoy. GIS maps of soil, land use change, rainfall, and temperature are overlaid to understand the exact cause in the watershed causing an increase of sediments.
GIS-based analysis is used to identify the factors contributing to sediment inflow in the reservoir. The system analyzes various factors, such as topography, land use change, and hydrology to identify the source of sediment inflow. By analyzing the source of sediment inflow, the system can identify the best measures to prevent sediment inflow into the reservoir.
The system helps regulate the siltation in the reservoirs by issuing a warning to a central server in case of sudden increases in turbidity levels. The central server system then analyzes the source of sediment using information from other sensors and GIS. The results are reported to water resource policy makers to plan watershed activities that regulate the siltation in the reservoirs and prevent illegal dumping of sediments.
The system includes various components, including the turbidity buoys, central server system, and GIS-based analysis. The turbidity buoys are designed to withstand harsh environmental conditions and are equipped with sensors to measure turbidity levels. The buoys are also equipped with wireless transmission capabilities that send the real-time data to the central server system.
The central server system is responsible for receiving and analyzing the data received from the turbidity buoys. It uses AI-based regression techniques to analyze the degree of correlation between primary and secondary turbidity buoy readings to identify the source of sediments. The system also uses GIS-based watershed analysis to analyze the watershed contributing sediment to the buoy.
The GIS-based analysis component of the system uses various tools, including topography, land use change, and hydrology to identify the factors contributing to sediment inflow in the reservoir. By analyzing the source of sediment inflow, the system can identify the best measures to prevent sediment inflow into the reservoir.
Once the primary buoy detects a sudden increase in turbidity levels, it will send a warning to the central server system. The central server system will then analyze the source of sediment using information from other sensors and GIS. The system will use AI-based regression techniques to analyze the degree of correlation between primary turbidity buoy readings and secondary turbidity buoy readings. This will help in the source identification. The GIS-based watershed analysis will be used to analyze the watershed contributing sediment to the buoy. The GIS maps of soil, land use change, rainfall, temperature will be overlaid to understand the exact cause in the watershed causing an increase in sediments. This GIS analysis will help to regulate the watershed activities in order to prevent an increase in sedimentation in the reservoirs.
The central server system will then develop a report of the exact cause of sediment increase and provide it to the water resource policy makers. The report will include the GIS-based analysis of the sediment source and the recommended watershed activities to control sediment erosion. This information will help water resource policy makers to plan and implement the appropriate measures to regulate the sedimentation in the reservoirs.
The proposed system has several advantages over existing methods of sediment management. It is a cost-effective method as it eliminates the need for expensive and unsustainable dredging. It is also more efficient as it can monitor sedimentation in real-time and issue early warnings to prevent significant sedimentation in the reservoir. The system is also environmentally friendly as it prevents illegal dumping of sediments and regulates watershed activities to prevent sediment erosion.
In summary, the invention provides an innovative and efficient method of managing sedimentation in reservoirs. The system involves the use of a network of Turbidity Buoys installed in the reservoir and main tributaries of the rivers supplying sediment to the reservoirs. The primary turbidity buoys installed inside the reservoir will monitor the real-time Total Suspended Solids (TSS) levels, and secondary buoys in the tributaries will provide information on the source of sediments. The turbidity buoys will transmit the real-time information of turbidity levels to a central server system. The central server system will use AI-based regression techniques to analyze the degree of correlation between primary turbidity buoy readings and secondary turbidity buoy readings. The GIS-based watershed analysis will be used to analyze the watershed contributing sediment to the buoy. Moreover, GIS maps of soil, land use change, rainfall, temperature will be overlayed to understand the exact cause in the watershed causing an increase in sediments. This GIS analysis will help to regulate the watershed activities to prevent sediment erosion. The system will issue a warning to a central server in case of sudden increases in turbidity levels, which will then analyze the source of sediment using information from other sensors and GIS. The results will be reported to water resource policy makers to plan watershed activities that will regulate the siltation in the reservoirs and prevent illegal dumping of sediments.

The system provides several benefits over traditional sediment management methods. Traditional methods, such as dredging and sedimentation basins, are costly and may not always be effective in controlling sedimentation. The use of best management practices for land and streams throughout the watershed can reduce erosion rates, but erosion and sediment yield will never (and should not) reach zero, even in an undisturbed watershed. The system offers an innovative and efficient method to manage sedimentation in reservoirs, helping to reduce the cost and environmental impact associated with dredging.
, C , Claims:Claim 1: A sediment management system for reservoirs, comprising a network of turbidity buoys installed in the reservoir and tributaries of the rivers supplying sediment to the reservoir, a central server system, and GIS-based analysis, wherein the turbidity buoys monitor the Total Suspended Solids (TSS) levels in real-time, the central server system analyzes the data received from the turbidity buoys using AI-based regression techniques to identify the source of sediments, and the GIS-based analysis is used to analyze the watershed contributing sediment to the buoy.
Claim 2: The system of claim 1, wherein the primary turbidity buoys installed inside the reservoir monitor the real-time TSS levels and the secondary buoys installed in the tributaries provide information on the source of sediments.
Claim 3: The system of claim 1, wherein the GIS-based analysis is used to identify the factors contributing to sediment inflow in the reservoir, including topography, land use change, and hydrology, and to identify the best measures to prevent sediment inflow into the reservoir.
Claim 4: The system of claim 1, wherein the central server system issues a warning in case of sudden increases in turbidity levels, and the system uses information from other sensors and GIS to analyze the source of sediment, and the results are reported to water resource policy makers to plan watershed activities that regulate the siltation in the reservoirs and prevent illegal dumping of sediments.

Claim 5: The system according to claims 1-4 can also monitor siltation problems in harbours, canals, and waterways by using the similar approach of installing turbidity buoys and using GIS-based watershed analysis to identify the source of sediments and plan watershed activities to control sediment erosion.