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With the continuous promotion of government departments in water pollution prevention and control，the water environment has seen a substantial improvement，but the water bodies near pollution sources such as industrial zones and livestock and poultry farms are still prone to be black and odorous. How to identify these black stinking water bodies with excessive ammonia and nitrogen content is an urgent problem. 30 black stinky water bodies with excessive ammonia nitrogen were collected and assayed to study the identification inversion method for Gaofen-2 remote sensing data. By combining multiple band ratio and threshold segmentation algorithms，a combination algorithms applicable to the study area was obtained to identify the stinky water body and black stinky water by the correlating band ratio and the measured ammonia nitrogen. With the combination algorithms, ammonia nitrogen content of black smelly water bodies was inversed to identify the spatial distribution so as to discover the suspected sewage point position. The results were showed as the following：1) BOCI，WCI，FUI and e4 algorithms had a high separability between black smelly water bodies and general water bodies，the mean value combination of BOCI-OSTU and BOCI had the best segmentation effect on the samples of the prediction set while BOCI played the most stable role among the threshold algorithms；2) BOCI-OSTU，BOCI-mean value and WCI-Minimum are relatively effective in identifying black stinking water bodies；3)the BOI and G-R algorithms have the highest correlation of measured ammonia nitrogen values to the decision coefficients at 0.6 and 0.58 respectively；4) The ammonia nitrogen inversion was performed on three ditches within the study area using the BOI algorithm，and the ammonia nitrogen spatial distribution maps were obtained to present the suspected discharge locations. Therefore，this technique can provide efficient black stinky water body investigation service for government departments and technical support for ecological environment improvement.
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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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