IGSNRR OpenIR
impactofenvironmentalfactorsonwaterqualityatmultiplespatialscalesanditsspatialvariationinhuairiverbasinchina
Xia Jun1; Wang Longfeng1; Yu Jingjie1; Zhan Chesheng1; Zhang Yongyong1; Qiao Yunfeng2; Wang Yueling1
2018
Source Publicationsciencechinaearthsciences
ISSN1674-7313
Volume61Issue:1Pages:82
AbstractQuantitative assessment of water quality and its spatial variation identification, as well as the discernment of primary factors affecting water quality are in its urgent in water environment management. In this study, four key water quality indicators, namely, ammonia nitrogen (NH4 +-N), permanganate index (COD_(Mn)), total phosphorus (TP) and total nitrogen (TN) at 71 sampling sites were selected to evaluate water quality and its spatial variation identification. More concerns were emphasized on the anthropogenic factors (land use pattern) and natural factors (river density, elevation and precipitation) to quantify the overall water quality variations at different spatial scales. Results showed that the Yi-Shu-Si River sub-basin had a better water quality status than the Huai River sub-basin. The moderate polluted area nearly distributed in the upper and middle reaches of the Shaying River and Guo River. The high cluster centers which were surrounded with COD_(Mn), NH_4~+-N, TN and TP mainly also distributed in the upper and middle reaches of the Shaying River and Guo River. Redundancy analysis showed that the 200 m buffer area acted as the most sensitive area, which was easily subjected to pollution. The precipitation was identified as the most important variables among all the studied hydrological units, followed by farmland, urban land or elevation. The point source pollution was still existed although the non-point source pollution was also identified. The urban surface runoff pollution was severer than farmland fertilizer loss at the sub-basin scale in flood season, while the farmland showed "small-scale" effects for explaining overall water quality variations. This research is helpful for identifying the overall water quality variations from the scale-process interactions and providing a scientific basis for pollution control and decision making for the Huai River Basin.
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/82675
Collection中国科学院地理科学与资源研究所
Affiliation1.中国科学院地理科学与资源研究所
2.中国科学院大学
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Xia Jun,Wang Longfeng,Yu Jingjie,et al. impactofenvironmentalfactorsonwaterqualityatmultiplespatialscalesanditsspatialvariationinhuairiverbasinchina[J]. sciencechinaearthsciences,2018,61(1):82.
APA Xia Jun.,Wang Longfeng.,Yu Jingjie.,Zhan Chesheng.,Zhang Yongyong.,...&Wang Yueling.(2018).impactofenvironmentalfactorsonwaterqualityatmultiplespatialscalesanditsspatialvariationinhuairiverbasinchina.sciencechinaearthsciences,61(1),82.
MLA Xia Jun,et al."impactofenvironmentalfactorsonwaterqualityatmultiplespatialscalesanditsspatialvariationinhuairiverbasinchina".sciencechinaearthsciences 61.1(2018):82.
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