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Outline
This study conducted field research in the summer and autumn seasons of 2023 and 2024 at a typical drainage ditch in the Yihe Canal, Hetao Irrigation District. Water quality samples (TN, TP, EC, pH) and UAV multispectral reflectance data were collected to build an inversion model based on statistical regression (SR) and extreme gradient boosting (XGBoost), exploring the correlation between water quality parameters and spectral indices for high-precision inversion. The results indicate that the SR-XGBoost model achieved average R2 values of 0.872 and 0.880 in the training and validation sets, respectively, with RRMSE values of 3.46% and 3.23%, significantly outperforming single-band and other combined models. The autumn model exhibited better fitting performance than the summer model, with an average R2 increase of 11.50% and an average RRMSE reduction of 1.76%. Spatial distribution results show that pollutant concentrations are higher upstream of the drainage ditch than downstream, with higher concentrations in summer than in autumn and more significant distribution differences. This study reveals the correlation between water quality parameters and spectral indices, validates the high accuracy and stability of the SR-XGBoost model, and provides scientific evidence for applying multispectral remote sensing technology in water quality monitoring.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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