首页> 外文期刊>Water >Influence of Landscape Structures on Water Quality at Multiple Temporal and Spatial Scales: A Case Study of Wujiang River Watershed in Guizhou
【24h】

Influence of Landscape Structures on Water Quality at Multiple Temporal and Spatial Scales: A Case Study of Wujiang River Watershed in Guizhou

机译:景观结构对多种时空尺度水质的影响-以贵州乌江流域为例

获取原文
       

摘要

Water quality is highly influenced by the composition and configuration of landscape structure, and regulated by various spatiotemporal factors. Using the Wujiang river watershed as a case study, this research assesses the influence of landscape metrics—including composition and spatial configuration—on river water quality. An understanding of the relationship between landscape metrics and water quality can be used to improve water contamination predictability and provide restoration and management strategies. For this study, eight water quality variables were collected from 32 sampling sites from 2014 through 2017. Water quality variables included nutrient pollutant indicators ammoniacal nitrogen (NH 3 -N), nitrogen (NO 3 ? ), and total phosphate (TP), as well as oxygen-consuming organic matter indicators COD (chemical oxygen demand), biochemical oxygen demand (BOD 5 ), dissolved oxygen (DO), and potassium permanganate index (COD Mn ). Partial least squares (PLS) regression was used to quantitatively analyze the influence of landscape metrics on water quality at five buffer zone scales (extending 3, 6, 9, 12, and 15 km from the sample site) in the Wujiang river watershed. Results revealed that water quality is affected by landscape composition, landscape configuration, and precipitation. During the dry season, landscape metrics at both landscape and class levels predicted organic matter at the five buffer zone scales. During the wet season, only class-level landscape metrics predicted water contaminants, including organic matter and nutrients, at the middle three of five buffer scales. We identified the following important indicators of water quality degradation: percent of landscape, edge density, and aggregation index for built-up land; aggregation index for water; CONTAGION; COHESION; and landscape shape index. These results suggest that pollution can be mitigated by reducing natural landscape composition fragmentation, increasing the connectedness of region rivers, and minimizing human disturbance of landscape structures in the watershed area.
机译:水质高度受景观结构的组成和配置的影响,并受各种时空因素的调节。以吴江流域为例,本研究评估了景观指标(包括组成和空间配置)对河流水质的影响。对景观指标与水质之间关系的理解可用于改善水污染的可预测性并提供恢复和管理策略。在本研究中,2014年至2017年从32个采样点收集了8个水质变量。水质变量包括养分污染物指标氨氮(NH 3 -N),氮(NO 3?)和总磷酸盐(TP),分别为以及耗氧有机物指标COD(化学需氧量),生化需氧量(BOD 5),溶解氧(DO)和高锰酸钾指数(COD Mn)。偏最小二乘(PLS)回归用于定量分析吴江流域5个缓冲带尺度(距采样点3、6、9、12和15 km处)的景观指标对水质的影响。结果表明,水质受景观成分,景观配置和降水的影响。在干旱季节,景观水平和等级水平的景观指标都预测了五个缓冲区尺度的有机质。在雨季,只有五个级别的景观尺度才能预测五个缓冲尺度中间三个的水污染物,包括有机质和养分。我们确定了以下重要的水质退化指标:景观百分比,边缘密度和已建土地的聚集指数;水的聚集指数;传染性凝聚;和景观形状指数。这些结果表明,可以通过减少自然景观组成的碎片化,增加区域河流的连通性以及最大程度地减少人为地对流域地区景观结构的干扰来减轻污染。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号