探讨亚硝酸盐氮的变化,氨态氮,硝酸盐氮,磷酸盐,pH值,溶解氧,盐度,和水温随时间的变化以及这些指标在传统大嘴鲈鱼养殖中的相关性和相互影响,本研究选取了天津市宝迪斯区李子谷农场的3个池塘,以中国为研究对象。2021年5月至10月,对池塘中的营养盐和其他水质指标进行了测定,在不同深度收集水样进行重复,使用有机玻璃采样器从池塘中收集水,然后送回实验室,使用我们的国家实验室标准确定水质指标。根据对测量结果的分析,在传统农业中,亚硝酸盐氮,氨态氮,硝酸盐氮,磷酸盐,pH值,溶解氧,盐度,大嘴鲈鱼池塘的水温都随着时间的推移而显著变化,具有不同的变化趋势和一定的相关性。特别是,池塘中的营养盐指标受其他水质指标的影响,人类活动,和浮游植物.在繁殖过程中,加强池塘营养盐和其他水质指标的动态监测,调整氮素,磷,池塘中的氨水平在防止水体富营养化和促进池塘生态系统的绿色和可持续生产方面发挥着重要作用,特别是,允许大嘴鲈鱼质量更好的生长,以及保证生产和经济效益。本研究为进一步优化类似地区传统池塘养殖提供了理论依据和数据支撑,以提供质量更好的水产品,取得更高的经济效益。
To explore the changes in nitrite nitrogen, ammoniacal nitrogen, nitrate nitrogen, phosphates, pH, dissolved oxygen, salinity, and water temperature over time and the correlations and mutual influences between these indexes in the traditional farming of largemouth bass, this study selected three ponds in Lizigu Farm in Baodi District of Tianjin,
China as research objects. From May to October 2021, nutrient salts and other water quality indexes in the ponds were measured, and water samples were collected at different depths for repetition, Water is collected from the ponds using Plexiglas samplers and sent back to the lab for determination of water quality indexes using our national laboratory standards. According to the analysis of the measurement results, in traditional farming, nitrite nitrogen, ammoniacal nitrogen, nitrate nitrogen, phosphates, pH, dissolved oxygen, salinity, and water temperature in the ponds for largemouth bass all change significantly over time, with different changing trends and certain correlations with each other. In particular, nutrient salts indexes in ponds are influenced by other water quality indexes, human activities, and phytoplankton. During the breeding process, strengthening the dynamic monitoring of nutrient salts and other water quality indexes in the ponds and adjusting the nitrogen, phosphorus, and ammonia levels in the ponds artificially play an important role in preventing eutrophication in the water and promoting the green and sustainable production of pond ecosystems, in particular, allowing better quality growth of the largemouth bass, as well as ensuring the production and economic efficiency. This study provides a theoretical basis and data support for further optimization of traditional pond aquaculture in similar regions, in order to provide aquatic products with better quality and achieve higher economic benefits.