长三角“水乡客厅”水体透明度数值模型构建

朱天依; 王欢; 胥瑞晨

doi:10.11988/ckyyb.20221657

PDF(11559 KB)

长江科学院院报 ›› 2024, Vol. 41 ›› Issue (5) : 51-58. DOI: 10.11988/ckyyb.20221657

水环境与水生态

长三角“水乡客厅”水体透明度数值模型构建

朱天依¹, 王欢^1,2, 胥瑞晨³

作者信息 +

Numerical Model of Water Transparency in the Water Village Living Room in Yangtze River Delta

ZHU Tian-yi¹, WANG Huan^1,2, XU Rui-chen³

Author information +

文章历史 +

摘要

“水乡客厅”作为长三角区域一体化的重要示范性工程,如何提升其水体透明度,改善水体感官仍然是一个亟待解决的难题。在相关水质监测及悬浮物沉降试验的基础上,分析研究了“水乡客厅”水体透明度的主要影响因素,并构建了其与水体透明度的多元回归方程,基于该方程,构建了水体透明度数值模型。结果显示:相较于圩内河道,圩外河道及湖荡的水体透明度相对较低;研究区域内水体透明度的主要影响因素为悬浮物浓度,其皮尔逊相关系数为-0.48,呈明显负相关关系,次要因素为叶绿素浓度;分圩内河道、圩外河道、湖荡区域分别构建悬浮物沉降系数与悬浮物浓度、水体流速的拟合方程,决定系数R²均>0.8,拟合效果较好;基于上述分析结果所构建的水体透明度数值模型能够较好地描述“水乡客厅”水体透明度的分布规律,可为后续区域水生态修复及富营养化治理提供技术支撑。

Abstract

The Water Village Living Room is a core demonstration zone for integrated ecological and high-quality development in the Yangtze River Delta (Shanghai-Jiangsu-Zhejiang region). Enhancing its water transparency and sensory appeal remains a challenge. On the basis of water quality monitoring and suspended solids settling experiments, we examined the key factors affecting water transparency and constructed a numerical model for assessing transparency in the Water Village Living Room through multiple regression analysis. Findings highlight that waters outside the polder areas exhibit lower transparency compared to those within. The concentration of suspended solids emerges as the principal transparency determinant, evidenced by a strong inverse relationship (Pearson’s correlation coefficient reaching -0.48) with transparency. Chlorophyll concentration ranks as a secondary influence. Furthermore, we established the correlations between sedimentation coefficient of suspended solids and both their concentrations and water flow velocity for varied locations—inside polders, outside polders, and lakes. These correlations demonstrate robustness, with coefficients of determination (R²) exceeding 0.8. The developed numerical model not only elucidates water transparency distribution patterns in the Water Village Living Room but also serves as a vital tool for water eco-environment restoration and the treatment of eutrophic water bodies.

导出引用

朱天依, 王欢, 胥瑞晨. 长三角“水乡客厅”水体透明度数值模型构建[J]. 长江科学院院报. 2024, 41(5): 51-58 https://doi.org/10.11988/ckyyb.20221657

ZHU Tian-yi, WANG Huan, XU Rui-chen. Numerical Model of Water Transparency in the Water Village Living Room in Yangtze River Delta[J]. Journal of Changjiang River Scientific Research Institute. 2024, 41(5): 51-58 https://doi.org/10.11988/ckyyb.20221657

中图分类号： X52

参考文献

[1] 郑瑞坤, 汪纯. 长三角高质量发展的空间动态演变与一体化趋势[J]. 华东经济管理, 2021, 35(4): 20-33. (ZHENG Rui-kun, WANG Chun. Spatial Dynamic Evolution and Integration Trend of High-quality Development in the Yangtze River Delta[J]. East China Economic Management, 2021, 35(4): 20-33.(in Chinese))
[2] 朱静,徐枫,秦红,等.蓝色珠链区主要营养物质污染特征分析[J].人民黄河,2022,44(增刊1):54-56.(ZHU Jing, XU Feng, QIN Hong, et al. Analysis on Pollution Characteristics of Main Nutrients in Blue Pearl Chain Area[J]. Yellow River, 2022, 44(Supp.1): 54-56.(in Chinese))
[3] 崔昊杰,孙建忠.长三角生态绿色一体化发展示范区水系综合治理:以吴江区为例[J].江苏水利,2021(6):69-72.(CUI Hao-jie, SUN Jian-zhong. Comprehensive Treatment of Water System in the Yangtze River Delta Ecological Green Integration Demonstration Zone—Taking Wujiang District as an Example[J]. Jiangsu Water Resources, 2021(6): 69-72.(in Chinese))
[4] 房振南, 金科, 王雪姣, 等. 长三角一体化生态绿色发展示范区主要河湖水质变化趋势分析[J]. 水利水电快报, 2021, 42(4): 68-74. (FANG Zhen-nan, JIN Ke, WANG Xue-jiao, et al. Analysis on Water Quality Variation Trend of Main Rivers and Lakes in Integrated Demonstration Area on Ecologically Friendly Development in Yangtze River Delta[J]. Express Water Resources & Hydropower Information, 2021, 42(4): 68-74.(in Chinese))
[5] 季永兴,韩非非,施震余,等.长三角一体化示范区水生态环境治理思考[J].水资源保护,2021,37(1):103-109.(JI Yong-xing, HAN Fei-fei, SHI Zhen-yu, et al. Thinking on Water Eco-environment Management in Regional Integration Demonstration Area of Yangtze River Delta[J]. Water Resources Protection,2021,37(1):103-109.(in Chinese))
[6] 殷子瑶, 江涛, 杨广普, 等. 1986—2017年胶州湾水体透明度时空变化及影响因素研究[J]. 海洋科学, 2020, 44(4): 21-32. (YIN Zi-yao, JIANG Tao, YANG Guang-pu, et al. The Spatial-Temporal Variation of Water Clarity and Its Influencing Factors in Jiaozhou Bay from 1986 to 2017[J]. Marine Sciences, 2020, 44(4): 21-32.(in Chinese))
[7] 喻臻钰, 杨昆, 罗毅, 等. 基于深度神经网络算法的水体透明度反演方法[J]. 生态学报, 2021, 41(6): 2515-2524. (YU Zhen-yu, YANG Kun, LUO Yi, et al. Secchi Depth Inversion of Dianchi Lake and Its Temporal and Spatial Variation Analysis Based on Deep Neural Networks[J]. Acta Ecologica Sinica, 2021, 41(6): 2515-2524.(in Chinese))
[8] 鄢碧鹏, 柳自强, 王磊, 等. 基于环境流体动力学模型的蠡湖补水方案数值模拟[J]. 环境污染与防治, 2022, 44(5): 607-611, 686. (YAN Bi-peng, LIU Zi-qiang, WANG Lei, et al. Numerical Simulation of Water Replenishment Scheme in Lihu Lake Based on EFDC Model[J]. Environmental Pollution & Control, 2022, 44(5): 607-611, 686.(in Chinese))
[9] 陆豪,马振坤,王龙,等.ICM水动力-水质模型下苏州河道引水规模试验研究[J].自动化与仪器仪表,2017(7):1-3.(LU Hao, MA Zhen-kun, WANG Long, et al. Study on Water Diversion Scale of Suzhou River Based on ICM Hydrodynamic-water Quality Mathematical Model[J]. Automation & Instrumentation, 2017(7): 1-3.(in Chinese))
[10]李一平, 逄勇, 徐秋霞. 动水条件下太湖水体透明度及其影响因子模拟[J]. 河海大学学报(自然科学版), 2009, 37(6): 625-630. (LI Yi-ping, PANG Yong, XU Qiu-xia. Simulation of Transparency and Its Factors in Taihu Lake under Hydrodynamic Conditions[J]. Journal of Hohai University (Natural Sciences), 2009, 37(6): 625-630.(in Chinese))
[11]高磊, 胡鹏, 朱金山. 水体透明度两种半分析反演模型的对比与分析[J]. 海洋科学, 2021, 45(3): 14-23. (GAO Lei, HU Peng, ZHU Jin-shan. Comparison and Analysis of Two Semi-analytical Inversion Models for Water Transparency[J]. Marine Sciences, 2021, 45(3): 14-23.(in Chinese))
[12]束龙仓, 徐丽丽, 袁亚杰, 等. 三江平原典型区地下水流场变化及主要影响因素分析[J]. 水利学报, 2022, 53(6): 644-654. (SHU Long-cang, XU Li-li, YUAN Ya-jie, et al. Analysis on Variation of Groundwater Flow Field and Its Main Influencing Factors in the Typical District of Sanjiang Plain[J]. Journal of Hydraulic Engineering, 2022, 53(6): 644-654.(in Chinese))
[13]张振冉. 白洋淀沉积物污染特征及扰动释放研究[D]. 保定: 河北大学, 2013. (ZHANG Zhen-ran. Contamination Characteristics and Release Mechanism of Sediments in Lake Baiyangdian[D].Baoding: Hebei University, 2013. (in Chinese))
[14]尹兆锐,李红霞,唐萱,等.基于深度学习的西南地区寿溪河山洪预报研究[J].水电能源科学,2022,40(2):88-91.(YIN Zhao-rui, LI Hong-xia, TANG Xuan, et al. Flash Flood Forecasting of Shouxi River in Southwestern Region Based on Deep Learning[J]. Water Resources and Power, 2022, 40(2): 88-91.(in Chinese))
[15]李欣, 周婷婷, 张影宏, 等. 苏州湿地水体透明度的动态变化及其与悬浮颗粒物的关系[J]. 江苏林业科技, 2019, 46(2): 10-12, 37. (LI Xin, ZHOU Ting-ting, ZHANG Ying-hong, et al. Dynamic Changes of Water Transparency in Suzhou Wetland and Its Relationship with Suspended Particulate Matter[J]. Journal of Jiangsu Forestry Science & Technology, 2019, 46(2): 10-12, 37.(in Chinese))
[16]陈俊伊, 王书航, 郑朔方, 等. 南湖水系水体透明度时空分布、影响因素及控制对策[J]. 环境工程技术学报, 2020, 10(6): 897-904. (CHEN Jun-yi, WANG Shu-hang, ZHENG Shuo-fang, et al. Study on Spatial and Temporal Distribution, Influencing Factors and Control Measures of Water Transparency of Nanhu Lake Water System[J]. Journal of Environmental Engineering Technology, 2020, 10(6): 897-904.(in Chinese))
[17]吴鑫, 彭宁彦, 何亮, 等. 抚河故道水体透明度时空变化及影响因素[J]. 南昌大学学报(理科版), 2021, 45(2): 182-188. (WU Xin, PENG Ning-yan, HE Liang, et al. Spatial-temporal Changes of the Water Transparency and Their Influencing Factors in Former Fuhe River[J]. Journal of Nanchang University (Natural Science), 2021, 45(2): 182-188.(in Chinese))
[18]赵丽,蔚静雯,邢健宇,等.南湖水体中悬浮物的时空分布特征及环境效应[J].环境工程技术学报,2020,10(6):905-911.(ZHAO Li, YU Jing-wen, XING Jian-yu, et al. Spatial and Temporal Distribution Characteristics and Environmental Effects of Suspended Solids in Nanhu Lake[J]. Journal of Environmental Engineering Technology, 2020, 10(6): 905-911.(in Chinese))