A study on temporal and spatial distribution characteristics of dissolved oxygen in surface water of megacities

WANG Huaxiang; CHU Xiaoye; CHEN Ying; XU Lu; YANG Kai

doi:10.3969/j.issn.1000-5641.201931011

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Nov. 2020

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WANG Huaxiang, CHU Xiaoye, CHEN Ying, XU Lu, YANG Kai. A study on temporal and spatial distribution characteristics of dissolved oxygen in surface water of megacities[J]. Journal of East China Normal University (Natural Sciences), 2020, (6): 154-163. doi: 10.3969/j.issn.1000-5641.201931011

Citation:

WANG Huaxiang, CHU Xiaoye, CHEN Ying, XU Lu, YANG Kai. A study on temporal and spatial distribution characteristics of dissolved oxygen in surface water of megacities[J]. Journal of East China Normal University (Natural Sciences), 2020, (6): 154-163. doi: 10.3969/j.issn.1000-5641.201931011

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A study on temporal and spatial distribution characteristics of dissolved oxygen in surface water of megacities

doi: 10.3969/j.issn.1000-5641.201931011

WANG Huaxiang^{1, 2},
CHU Xiaoye^{1, 2},
CHEN Ying^{1, 2},
XU Lu^{1, 2},
YANG Kai^{1, 2
,
,}

1.
School of Ecological and Environmental Sciences, East China Normal University, Shanghai　200241, China
2.
Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai　200241, China

Received Date: 2019-08-20
Publish Date: 2020-11-25

Abstract

Abstract

The dissolved oxygen (DO) zoning method was used to analyze the temporal and spatial characteristics of 259 river monitoring sites in Shanghai in 2016. The results showed that: ① Time periods with the highest mean DO can be ranked according to the following sequence: winter > spring > autumn > summer, non-flood period > flood period. ② DO had significant spatial stratification. Low-oxygen areas (DO < 2 mg/L) were mainly distributed in highly urbanized geographies, such as the city center and nearby suburban areas, changing with both season and flood period and seemingly affected by surface runoff and the discharge of pumping stations. High-oxygen areas (DO > 6 mg/L) were distributed in areas with high water ecological environmental requirements and occasionally appeared in the suburbs. Most of the annual changes in DO belonged to the median areas (DO: 4 ~ 6 mg/L), and were affected by both industry and agriculture. ③ Correlation anlysis of water quality factors indicated that DO was significantly correlated with water temperature (–0.434), pH(0.332), COD_Mn(–0.219), COD_Cr(–0.234), BOD₅(–0.197), NH₃-N(–0.299), TP(–0.370), TN(–0.191), Vol-P(–0.159), petroleum(–0.207). Stepwise regression analysis showed that DO was significantly affected by T, pH, NH₃-N, TP and petroleum; the analysis showed, furthermore, that DO restricted factors varied in different seasons.
- dissolved oxygen,
- temporal and spatial distribution,
- low-oxygen area,
- Shanghai

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References(31)

References

[1]	殷燕, 吴志旭, 刘明亮, 等. 千岛湖溶解氧的动态分布特征及其影响因素分析 [J]. 环境科学, 2014, 35(7): 2539-2546.
[2]	郁建桥, 钟声, 王经顺, 等. 自动监测预警太湖蓝藻爆发规律研究 [J]. 环境监控与预警, 2010, 2(2): 7-10. doi: 10.3969/j.issn.1674-6732.2010.02.002
[3]	王正方, 张庆, 吕海燕, 等. 长江口溶解氧赤潮预报简易模式 [J]. 海洋学报, 2000, 22(4): 125-129.
[4]	DÍAZ ROBERT J, ROSENBERG R. Introduction to environmental and economic consequences of hypoxia [J]. International Journal of Water Resources Development, 2011, 27(1): 71-82. doi: 10.1080/07900627.2010.531379
[5]	黄岁樑, 臧常娟, 杜胜蓝, 等. pH、溶解氧、叶绿素 a 之间相关性研究Ⅰ: 养殖水体 [J]. 环境工程学报, 2011, 5(6): 1201-1208.
[6]	马璐. 黄河兰州市区段水体中溶解氧现状及其影响因素 [J]. 甘肃水利水电技术, 2017, 53(8): 5-8. doi: 10.3969/j.issn.2095-0144.2017.08.002
[7]	周莹. 水生生物对水体溶解氧日变化规律影响 [D].沈阳: 沈阳师范大学, 2016.
[8]	黄奕龙, 张利萍. 基于鱼类栖息地法的城市河流生态需水评估—以深圳市观澜河为例 [J]. 环境污染与防治, 2016, 38(8): 55-58.
[9]	杨丽娜, 李正炎, 张学庆. 大辽河近入海河段水体溶解氧分布特征及低氧成因的初步分析 [J]. 环境科学, 2011, 32(1): 51-57.
[10]	夏星辉, 吴琼, 牟新利. 全球气候变化对地表水环境质量影响研究进展 [J]. 水科学进展, 2012, 23(1): 124-133.
[11]	宋国栋, 石晓勇, 祝陈坚. 春季黄海溶解氧的平面分布特征及主要影响因素初探 [J]. 海洋环境科学, 2007(6): 534-536. doi: 10.3969/j.issn.1007-6336.2007.06.009
[12]	董景岗, 王海霞, 李伟. 天津近岸海水溶解氧分布特征 [J]. 天津科技大学学报, 2009, 24(3): 26-30. doi: 10.3969/j.issn.1672-6510.2009.03.007
[13]	曾春芬, 黄文钰, 王伟霞, 等. 天目湖溶解氧分布特征及环境影响因子 [J]. 长江流域资源与环境, 2010, 19(4): 445-451.
[14]	陈东, 张丽旭, 刘汉奇, 等. 长江口海域春夏季溶解氧分布特征及其相关因素分析 [J]. 海洋环境科学, 2008(S1): 49-53.
[15]	李艳红, 成静清, 夏丽丽, 等. 鄱阳湖区水体溶解氧现状及环境影响因素分析 [J]. 中国农村水利水电, 2013(10): 122-125. doi: 10.3969/j.issn.1007-2284.2013.10.035
[16]	柴小平, 魏娜, 母清林, 等. 浙江近岸海域春季表层溶解氧饱和度分布及影响因素 [J]. 中国环境监测, 2015, 31(5): 140-144. doi: 10.3969/j.issn.1002-6002.2015.05.027
[17]	潘向忠, 高玉蓉, 李佳, 等. 钱塘江杭州段水体中溶解氧现状及其影响因素 [J]. 环境保护科学, 2011, 37(4): 13-16+58. doi: 10.3969/j.issn.1004-6216.2011.04.005
[18]	刘思峰, 蔡华, 杨英杰, 等. 灰色关联分析模型研究进展 [J]. 系统工程理论与实践, 2013, 33(8): 2041-2046. doi: 10.3969/j.issn.1000-6788.2013.08.018
[19]	罗凤明, 邱劲飚, 李明华, 等. 如何使用统计软件SPSS进行回归分析 [J]. 电脑知识与技术, 2008, 1(2): 293-294.
[20]	CHAPMAN D V. Water Quality Assessments: A Guide to the Use of Biota Sediments and Water in Environmental Monitoring [M]. Melbourne Madras: Chapman & Hall, 1992.
[21]	SPEARS B M, CARVALHO L, PERKINS R, et al. Spatial and historical variation in sediment phosphorus fractions and mobility in a large shallow lake [J]. Water Research, 2006, 40(2): 390-391.
[22]	蒲迅东. 有机污染物在水体中降解规律的研究 [D]. 成都: 四川大学, 2000.
[23]	聂俊英, 邹伟国. 城市黑臭水体的功能恢复与水质改善案例分析 [J]. 给水排水, 2017, 53(4): 34-36. doi: 10.3969/j.issn.1002-8471.2017.04.007
[24]	景哲. 苏州河市区段市政泵站放江污染评估及防控对策研究 [D]. 上海: 华东师范大学, 2015.
[25]	杨凯, 袁雯, 赵军, 等. 感潮河网地区水系结构特征及城市化响应 [J]. 地理学报, 2004(4): 557-564. doi: 10.3321/j.issn:0375-5444.2004.04.009
[26]	朱红伟, 陈江海, 王勇. 水动力条件对水体自净作用的影响 [J]. 南水北调与水利科技, 2018, 16(6): 101-106.
[27]	李典宝, 张玮, 王丽卿, 等. 2013年上海市河流秋季水质空间分布特征 [J]. 生态与农村环境学报, 2015, 31(1): 50-58. doi: 10.11934/j.issn.1673-4831.2015.01.008
[28]	吕慧华, 周峰, 李娜, 等. 苏北里下河典型区河网水系演变特征研究 [J]. 长江流域资源与环境, 2018, 27(2): 380-385.
[29]	程晓波. 上海市中心城区初期雨水污染治理策略与案例分析 [J]. 城市道桥与防洪, 2012(6): 168-171. doi: 10.3969/j.issn.1009-7716.2012.06.053
[30]	高超, 朱继业, 朱建国, 等. 极端降水事件对农业非点源污染物迁移的影响 [J]. 地理学报, 2005(6): 991-997. doi: 10.3321/j.issn:0375-5444.2005.06.012
[31]	POLYAKOV V, FARES A, KUBO D, et al. Evaluation of a non-point source pollution model, AnnAGNPS, in a tropical watershed [J]. Environmental Modelling and Software, 2007, 22(11): 1617-1627. doi: 10.1016/j.envsoft.2006.12.001