4.7 Article

Potential impacts of climate change on water quality in a shallow reservoir in China

期刊

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 22, 期 19, 页码 14971-14982

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-015-4706-1

关键词

Climate change; Water quality; Non-parametric regression; Temperature; Rainfall; Land use; Yuqiao Reservoir

资金

  1. National Natural Science Foundation of China [50909070]
  2. Science Fund for Creative Research Groups of the National Natural Science Foundation of China [51321065]
  3. Tianjin Municipal Natural Science Foundation [13JCQNJC09200]

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据