Remote sensing investigation on water pollution of pond aquaculture in estuary of Maowei Sea

doi:10.13474/j.cnki.11-2246.2022.0196

Abstract

Abstract: Aiming at the pollution of pond breeding in mouth of Mawei Sea in Guangxi, this paper based on unmanned aerial vehicle (UAV) multi-spectral remote sensing images and measured water quality data, establish spectral characteristics and remote sensing inversion model of five water quality parameters, which can reflecting the nutritional state of water bodies: Chlorophyll-A (Chl-A), Chemical Oxygen Demand (COD), Suspended Solid (SS), Total Nitrogen (TN) and Total Phosphorus (TP). Based on the inversion results, we evaluate the eutrophication status of water body. The results show that: ①Chl-A is significantly correlated with Blue and NIR bands, COD is highly correlated with Red and Red Edge bands, SS is highly correlated with Red Edge bands, TN issignificantly correlated with NIR bands, TP is highly correlated with Blue and Green bands. ②Among the established inversion models of water quality parameters, Quadratic polynomial function inversion model has the best fitting effect.③We found that the eutrophication index of water bodies in pond aquaculture area mainly ranged from 60 to 80, belonging to moderate and severe eutrophication degree, and the eutrophication degree of near-shore water bodies was lower than that of far-shore water bodies in spatial distribution.

Key words: pond aquaculture, UAV, water quality parameters, remote sensing inversion, nutritional evaluation

CLC Number:

P237

HU Yiqiang, YANG Ji, JING Wenlong, PENG Xiaoyan, LAN Wenlu, PENG Mengwei, ZHANG Yumeng. Remote sensing investigation on water pollution of pond aquaculture in estuary of Maowei Sea[J]. Bulletin of Surveying and Mapping, 2022, 0(7): 12-17,53.

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