Network planning method for water quality sampling in coastal waters based on sea-air unmanned collection equipment

Abstract

The invention discloses a network planning method for water quality sampling in coastal waters based on sea-air unmanned collection equipment, wherein the sea-air unmanned collection equipment is used to collect marine meteorology, water color and water quality parameter data, including the following steps: collecting and reflecting sea area The historical sampling data of water quality is combined with the GIS system for data interpolation processing; the grid-based multi-density clustering algorithm is used to cluster the water quality data, and several sea areas with different water quality are divided to optimize the layout points of fixed collection equipment; Establish a triangular mesh growth mathematical model for equipment layout points, plan the cruising points of unmanned ship collection equipment, and set fixed cruising points for UAV collection equipment in combination with the distribution of land-based sewage outlets into the sea, and at the same time The online water quality monitoring status of point sea areas, and the dynamic setting of temporary emergency cruising points for UAV collection equipment; finally formed a sea-air integrated marine environmental information sampling network. The invention can ensure more effective monitoring data, reduce the amount of fixed collection equipment, and save costs.

Description

Technical field [0001] The present invention relates to the field of marine environmental protection and water quality monitoring, and therefore specifically involves a water quality sampling network planning method based on the near-strait waters of sea-air unmanned collection equipment. Background technique [0002] The near-shore sea is the intersection area of ​​the two ecosystems of land and oceans. It is a very frequent zone of human marine activities. The environmental quality of the near-strait waters has a very important and far-reaching impact on human survival and marine economic development. However, in recent years, the pollution problems in the near-shore have become increasingly severe, and the quality of marine environment has continued to decline, seriously threatening marine economic construction and ecological environmental protection. According to 2016 China's near-shore waters, the four categories and inferior seawater ratios in the near-shore waters in 2016 ...

AI Technical Summary

Problems solved by technology

The traditional methods of water quality monitoring in coastal waters include buoys, submersible buoys, and artificial seagoing, etc., which have problems such as long collection period, high input cost, representative deviation and lag of sampling data, etc. The development of flexible and efficient collection equipment and reasonable planning is the current Key Trends in Marine Environmental Monitoring

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