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Multi-scale analysis of relationship between landscape pattern and urban river water quality in different seasons

机译:不同季节景观格局与城市河流水质关系的多尺度分析

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摘要

Water quality is highly dependent on the landscape characteristics. In this study, we investigated the relationships between water quality and landscape pattern (composition and configuration) in Huzhou City, China. The water quality variables, including pH, dissolved oxygen (DO), chemical oxygen demand (CODMn), Biochemical Oxygen Demand (BOD), NH3-N, petroleum, dissolved total phosphorus (DTP), and total nitrogen (TN) in low water, normal water and flood periods were identified by investigating 34 sampling sites in Huzhou City during the period from 2001 to 2007. Landscape composition and landscape configuration metrics were calculated for different scales. It was found that scales and seasons both play important role when analyzing the relationships between landscape characteristics of different land use types. The results implied that some water quality parameters such as CODMn, petroleum are more polluted in flood period than the other two seasons at different scales, while DTP and TN are more polluted in low water period. Influences of different landscape metrics on water quality should operate at different spatial scales. The results shown in this paper will effectively provide scientific basis for the policy making in sustainable development of water environment.
机译:水质高度依赖于景观特征。在这项研究中,我们调查了中国湖州市的水质与景观格局(组成和构造)之间的关系。水质变量,包括低水中的pH,溶解氧(DO),化学需氧量(CODMn),生化需氧量(BOD),NH3-N,石油,溶解总磷(DTP)和总氮(TN)通过对湖州市2001年至2007年的34个采样点进行调查,确定了正常的水灾时期和洪水时期。计算了不同规模的景观组成和景观配置指标。在分析不同土地利用类型的景观特征之间的关系时,发现尺度和季节都起着重要作用。结果表明,与其他两个季节相比,CODMn,石油等水质参数在洪涝期比其他两个季节污染程度更大,而枯水期DTP和TN污染更大。不同景观指标对水质的影响应在不同的空间尺度上进行。本文研究结果将为水环境可持续发展决策提供有效的科学依据。

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