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作 者:陆君[1] 刘亚风[1] 黄洪辉[2] 齐珂[1] 李响[1] 樊正球[1]
机构地区:[1]复旦大学环境科学与工程系,上海200433 [2]中国水产科学研究院南海水产研究所,广州510300
出 处:《复旦学报(自然科学版)》2014年第6期731-736,746,共7页Journal of Fudan University:Natural Science
基 金:农业部渔业生态环境重点开放实验室开放基金资助项目
摘 要:根据太平湖流域土地利用数据,运用ArcGIS水文、空间分析功能将太平湖流域划分为5个子流域,并提取不同坡度下各子流域的土地利用类型.通过2010年至2013年入湖河流水质监测,选取CODMn,TP,TN,NH3-N 4个水质指标,分析不同水期下的土地利用结构对河流水质的影响.结果表明:(1)对整个流域而言,浦溪河、麻川河污染最严重,水质污染指标与耕地、建设用地、园地呈正相关,与林草地呈负相关,其中TN、NH3-N两种污染物指标受土地利用类型影响最为显著;(2)不同水期内,丰水期时的土地利用结构与水质指标相关性比枯水期时明显,尤其是CODMn、TP、NH3-N三项水质指标;(3)不同坡度下,土地利用类型与水质指标相关性差异较明显.坡度在15°~25°区间时建设用地与污染物呈显著正相关性,坡度〉25°时,林草地与污染物呈显著的负相关性.Take Taiping Lake watershed as a case study. Based on land use data of 2010, the study area was divided into five sub-watersheds by using ArcGIS hydrological and spatial analysis function, and each land use of sub-watershed in different slop was analyzed. The water quality parameters such as COD Mn, TP, TN, NHa-N were monitored and distributed from Jan 2010 to Jul 2013 in five sites in the study area. Correlation analysis methods were used to investigate the effect of land use structure on inflow rivers water quality in Taiping lake watershed in both high-flow and low-flow periods. Results showed that Puxi River and Maehuan River were the most serious pollution river in the space. The four water pollution parameters illustrated positive relations with the proportion of land use, cultivated, urban, and garden land, while forest land showed negative relations. Parameters of TN and NHa-N had the most significant relations with land use type. The correlations between land use structure and water pollution parameters were stronger in high-flow period than in low-flow period. There was a clear difference between land use types and water quality parameters in different slopes. Urban land had the most prominently positive relations with water quality parameters from slope 15° to 25°. When the slope was steeper than 25°, forest land showed strongest negative relations with parameters.
分 类 号:X321[环境科学与工程—环境工程]
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