作 者：Shi, PengZhang, YanLi, ZhanbinLi, PengXu, Guoce
作者机构：Xian Univ TechnolState Key Lab Base Ecohydraul Engn Arid Area Xian 710048 Peoples R ChinaNorthwest Univ XianColl Urban & Environm Sci Xian 710127 Peoples R ChinaChinese Acad SciState Key Lab Soil Eros & Dryland Farming Loess P Yangling 712100 Shaanxi Peoples R ChinaMinist Water ResourcesYangling 712100 Shaanxi Peoples R China
出 版 物：《CATENA》
年 卷 期：2017年第151卷
页 面：182-190
核心收录：
中图分类：P[天文学、地球科学]
学科分类：07[理学]
基 金：National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41601092, 41330858, 41601017, 41271290]China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2015M572592]Scientific Research Program - Shaanxi Provincial Education Department [15JK1762]Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research [IWHR-SKL-201608]
主 题：Land useLandscape patternScale effectsStream water qualityRedundancy analysisLOW-ORDER STREAMSRIVER-BASINFORESTED WATERSHEDSRIPARIAN VEGETATIONLANDSCAPE PATTERNECOLOGICAL STATUSSOURCE POLLUTIONDAN RIVERNUTRIENTNITRATE
摘 要：The influence of land use patterns on stream water quality is scale-dependent in space and time. Understanding the relationship between landscape characteristics and water quality is of great importance to improve water contamination prediction in unmonitored watersheds and for providing guidelines for watershed land use planning. In this study, five water sampling sites in the upper Dan River basin were established to monitor seasonal water chemical contamination over the period of 2000 to 2008. The relationships between land use patterns and water quality were analyzed across multiple-scales using redundancy analysis. The results showed that stream water quality variables displayed highly temporal variations, with electrical conductivity (EC), ammonium nitrogen (NH4+-N), nitrate nitrogen (NO3-N), and total suspended solids (TSS) all generally displaying higher levels in the wet season, while there were higher concentrations of biochemical oxygen demand (BOD5), chemical oxygen demand (CODcr), and dissolved oxygen (DO) in the dry season. The total contribution of land use patterns on overall water quality was stronger at the riparian scale than at the catchment and reach scales during the wet season. However, different land use metrics had different scale effects. Urban land had a higher positive relationship with degraded water quality at small scales than at large scales, whereas agricultural land displayed the opposite scale effects. Forest and grassland explained more water quality variations at the riparian scale than at other scales. Analyses of spatial development patterns suggested that size, density, aggregation, and diversity of landscape patterns were important factors impacting on stream water quality. The results provide important information regarding sustainable land use and landscape planning at multiple-scales that can be used to improve water quality. (C) 2016 Elsevier B.V. All rights reserved.
