Suppr超能文献

日本近期河流水质状况的时空趋势分析

Spatiotemporal trend analysis of recent river water quality conditions in Japan.

作者信息

Luo Pingping, He Bin, Takara Kaoru, Razafindrabe Bam H N, Nover Daniel, Yamashiki Yosuke

机构信息

Department of Urban and Environmental Engineering, Graduate School of Engineering, Kyoto University, Japan.

出版信息

J Environ Monit. 2011 Oct;13(10):2819-29. doi: 10.1039/c1em10339c. Epub 2011 Aug 15.

Abstract

In order to promote pollutant monitoring and preservation of water resources, we evaluate the spatiotemporal trends in recent water quality conditions in Japanese rivers. Trend analysis is conducted on the 92 major rivers in Japan using the available water quality data recorded from 1992 to 2005 and the characteristics of major pollutants in these rivers are analyzed. Spatial and temporal analysis of trends for six water quality indicators is conducted using the Mann Kendall test, a non-parametric statistical method. The indicators analyzed are biochemical oxygen demand (BOD), chemical oxygen demand (COD), dissolved oxygen (DO), total nitrogen (TN), total phosphorus (TP) and pH. The majority of sampling locations monitoring BOD, COD, TN and TP show trends toward decreasing concentrations over time. Many sampling locations show increasing DO concentrations. Our results show that water quality in Japanese rivers has improved dramatically over the past decade, although there are still problems in some places, most notably in the Hokkaido, Kanto, Kinki and Kyushu regions. The improvements seen in water quality appear to be the result of improved wastewater treatment and other water quality improvement efforts achieved through government initiative.

摘要

为促进污染物监测及水资源保护,我们评估了日本河流近期水质状况的时空趋势。利用1992年至2005年记录的可用水质数据,对日本92条主要河流进行了趋势分析,并分析了这些河流中主要污染物的特征。使用非参数统计方法曼-肯德尔检验对六个水质指标的趋势进行了时空分析。分析的指标有生化需氧量(BOD)、化学需氧量(COD)、溶解氧(DO)、总氮(TN)、总磷(TP)和pH值。监测BOD、COD、TN和TP的大多数采样点显示,随着时间推移,浓度呈下降趋势。许多采样点的DO浓度呈上升趋势。我们的结果表明,在过去十年中,日本河流的水质有了显著改善,尽管在一些地方仍存在问题,最明显的是北海道、关东、近畿和九州地区。水质的改善似乎是废水处理改善以及政府主导开展的其他水质改善工作的结果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验