State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, 300072, China.
Environ Sci Pollut Res Int. 2015 Oct;22(19):14971-82. doi: 10.1007/s11356-015-4706-1. Epub 2015 May 23.
To study the potential effects of climate change on water quality in a shallow reservoir in China, the field data analysis method is applied to data collected over a given monitoring period. Nine water quality parameters (water temperature, ammonia nitrogen, nitrate nitrogen, nitrite nitrogen, total nitrogen, total phosphorus, chemical oxygen demand, biochemical oxygen demand and dissolved oxygen) and three climate indicators for 20 years (1992-2011) are considered. The annual trends exhibit significant trends with respect to certain water quality and climate parameters. Five parameters exhibit significant seasonality differences in the monthly means between the two decades (1992-2001 and 2002-2011) of the monitoring period. Non-parametric regression of the statistical analyses is performed to explore potential key climate drivers of water quality in the reservoir. The results indicate that seasonal changes in temperature and rainfall may have positive impacts on water quality. However, an extremely cold spring and high wind speed are likely to affect the self-stabilising equilibrium states of the reservoir, which requires attention in the future. The results suggest that land use changes have important impact on nitrogen load. This study provides useful information regarding the potential effects of climate change on water quality in developing countries.
为了研究气候变化对中国一个浅水水库水质的潜在影响,应用野外数据分析方法对特定监测期间收集的数据进行分析。考虑了 9 个水质参数(水温、氨氮、硝酸盐氮、亚硝酸盐氮、总氮、总磷、化学需氧量、生化需氧量和溶解氧)和 3 个气候指标(20 年,即 1992-2011 年)。年度趋势表明,某些水质和气候参数具有显著的趋势。在监测期间的两个十年(1992-2001 年和 2002-2011 年),五个参数的月均值具有显著的季节性差异。通过对统计分析的非参数回归,探索了水库水质的潜在关键气候驱动因素。结果表明,温度和降雨量的季节性变化可能对水质有积极影响。然而,极冷的春季和高风速可能会影响水库的自稳定平衡状态,这在未来需要引起关注。结果表明,土地利用变化对氮负荷有重要影响。本研究为发展中国家气候变化对水质的潜在影响提供了有用的信息。