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作 者:叶有华 周凯[2,3] 彭少麟[2] YE Youhua;ZHOU Kai;PENG Shaolin(State Environmental Protection Key Laboratory of Drinking Water Source Management and Technology/Shenzhen Academy of Environmental Science,Shenzhen 518001,China;State Key Laboratory of Biocontrol,Sun Yat-sen University,Guangzhou 510275,China;School of Horticulture and Landscape Architecture,Henan Institute of Science and Technology,Xinxiang 453003,China)
机构地区:[1]国家环境保护饮用水水源地管理技术重点实验室/深圳市环境科学研究院,广东深圳518001 [2]中山大学有害生物控制及资源利用国家重点实验室,广东广州510275 [3]河南科技学院园林学院,河南新乡453003
出 处:《生态环境学报》2018年第9期1673-1681,共9页Ecology and Environmental Sciences
基 金:国家重点研发计划项目(2016YFC0502800);国家自然科学基金项目(30670385);广东省特聘教授(珠江学者)基金项目;深圳市环境科技计划项目(0708-144106ZXY030;SZZZ2015-C0007;LD2015GP-SZC055)
摘 要:城市露水是城市重要的输入性水资源,而目前关于城市露水的信息资料极少。基于功能组团在广州市选择白云山森林公园、中大社区、芳村工业区、天河商业区作为代表点位,以1月、4月、7月、10月分别代表冬季、春季、夏季和秋季,采用"布片法(Cloth-platemethod)"进行城市露水收集,旨在探索城市露水资源的动态变化,为城市露水研究积累数据资料。结果显示,广州市春、夏、秋、冬的露水发生频率分别为43%、46%、73%、62%,即广州市各季节的露水发生频率均不相同,且秋季>冬季>夏季>春季;就平均露水量而言,各季节收集到的结果也不尽相同,春季(0.026 mm)和夏季(0.027mm)的平均露水量均明显高于冬季(0.017mm)和秋季(0.014mm),且差异达到显著水平。调查结果也显示,露水的动态变化随调查点位的变化而变化,不同功能区对露水的沉降频率和凝结量均产生不同的影响。就平均露水量而言,白云山森林公园>芳村工业区>天河商业区>中大社区,白云山森林公园的平均露水量与其他研究点位的露水量的差异达到显著水平,芳村工业区与中大社区的差异也达到显著水平。综合研究结果表明,秋冬季节是露水事件发生的最佳时间,而春夏两季是露水凝结量最大的时间,城市露水受季节变化和功能区研究点位的双重影响。Urban dew is one of the important importing water resources,however,information on the dynamic variation characteristics of urban dew is rare by far.The purpose of this paper is to study that through the field observation.Cloth-plate method was used and four typical urban landscapes were employed in Guangzhou city,China.It was found that the frequency of urban dew in April,July,October and January was 43%,46%,73%and 62%,respectively.Dew frequency and dew amounts changed from landscape to landscape,and nearly no similar dynamic rule was found.Dew amounts obtained in April(0.026 mm)and July(0.027 mm)were higher than those in October(0.014 mm)and January(0.017 mm).According to the max dew amounts,the highest value was found in January(0.073 mm),followed by July(0.066 mm),April(0.059 mm)and October(0.049 mm).Results indicated that the dynamic variation characteristics of urban dew were impacted by the urban landscapes,different urban landscapes and different collecting time exhibited different dynamic variation characteristics on dew frequency and dew amounts.The average dew amounts showed the order as following:Baiyun Mountain Forest Park>Fangcun Industrial Area>Tianhe Commercial Area>Zhongda Community.The differences of mean dew amounts between Baiyun Mountain Forest Park and other sites arrived at significant level,as well as the differences between Fangcun Industrial Area and Zhongda Community also reached significant levels.Autumn and winter were the possible fitting seasons for dew events to happen,and spring and summer were the possible fitting time for dew amounts to condense.The dew in urban areas is affected by both seasonal variation and functional area.
分 类 号:X16[环境科学与工程—环境科学]
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