Spatial and temporal variations of nutrition in representative river networks in Southwest China
Spatial and temporal variations of nutrition in representative river networks in Southwest China
复制标题
西南地区代表性河网营养时空变化
DOI：
10.1007/s10661-018-7076-6
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发表时间：
2018-11
期刊：
影响因子：
--
通讯作者：
Shan Baoqing
中科院分区：
文献类型：
--
作者：
zhang wenqiang;Jin Xin;Shan Baoqing
为了控制河流中的污染物，我们需要了解复杂河网中营养物质和环境过程的时空变化。本研究选取了2017年晋江的177个采样点，并收集了2011-2016年晋江的15个监测点。根据监测站的数据，总磷(TP)和总氮(TN)是主要污染物。通过分析历史水质数据和营养盐浓度的最新信息，锦江水系的次级运河污染严重，其中大部分是黑色和恶臭的，比主干渠和支流严重得多。相关分析表明，NH3、CODcr、TN和TP具有相似的来源(R2NH3-CODcr= 0.572，R2NH3-Tn= 0.543，R2NH3-TP= 0.537，p<； )。城市河流的垂直河岸以及不充分和维护不善的管网系统导致这些次级运河的水质恶化。总体而言，我们的结果表明，如果市政管网系统得到更好的维护，如果垂直河岸被改造成植被覆盖的缓冲地带，河流水质可能会得到改善。这项研究将支持改善河网生态系统水质和功能的举措。
To control pollutants in rivers, we need to have an understanding of the spatial and temporal variations on nutrients and environmental processes in complex river networks. In this study, 177 sampling sites were located in Jinjiang River in 2017, 15 monitoring stations in Jinjiang River from 2011 to 2016 were also collected. According to the data from the monitoring station, the total phosphorus (TP) and total nitrogen (TN) were the dominant contaminants. By analyzing historical water quality data and up-to-date information about the nutrient concentrations, the secondary canals of the Jinjiang River system, most of which were black and odorous, were much more seriously polluted than the main channel and tributaries. Correlation analysis indicated that the NH3, CODcr, TN, and TP had similar sources (R2NH3-CODcr= 0.572,R2NH3-TN= 0.543,R2NH3-TP= 0.537,p< 0.01). The vertical banks of urban rivers and the inadequate and poorly maintained pipe network systems promote deterioration of water quality in these secondary canals. Overall, our results suggest that the river water quality could be improved if the municipal pipe network systems were better maintained and if the vertical banks were transformed into vegetated buffer strips. This study will support initiatives to improve the water quality and function of the river network ecosystem.
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影响因子：
11.4
作者：
Sandahl, Jason F.;Baldwin, David H.;Scholz, Nathaniel L.
通讯作者：
Scholz, Nathaniel L.
影响因子：
11.4
作者：
Natalie R. Morse;L. McPhillips;James P. Shapleigh;M. Todd Walter
通讯作者：
Natalie R. Morse;L. McPhillips;James P. Shapleigh;M. Todd Walter
DOI：
--
发表时间：
2012
期刊：
--
影响因子：
--
作者：
Su Jingjun
通讯作者：
Su Jingjun
影响因子：
11.4
作者：
Hongtao Zhao;Xuyong Li;Xiaomei Wang
通讯作者：
Hongtao Zhao;Xuyong Li;Xiaomei Wang
DOI：
10.18307/1997.0403
发表时间：
1997
期刊：
Journal of Lake Sciences
影响因子：
--
作者：
Han Changlai;M. Rui
通讯作者：
Han Changlai;M. Rui