Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern China

The effects of anthropogenic land use on the water quality of reservoir-based water sources are understudied. We trained a self-organizing map (SOM) to measure the spatial pattern of nutrients over the course of a year in 61 reservoirs located in eastern China. In the linear regression model and one...

Full description

Bibliographic Details
Main Authors: Lilian Ding, Qiyao Li, Jianjun Tang, Jiangfei Wang, Xin Chen
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/18/4860
id doaj-c346acbe68454fd5a8a95d428b244e7a
record_format Article
spelling doaj-c346acbe68454fd5a8a95d428b244e7a2020-11-25T01:35:56ZengMDPI AGSustainability2071-10502019-09-011118486010.3390/su11184860su11184860Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern ChinaLilian Ding0Qiyao Li1Jianjun Tang2Jiangfei Wang3Xin Chen4College of Life Sciences, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou 310058, ChinaCollege of Life Sciences, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou 310058, ChinaCollege of Life Sciences, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou 310058, ChinaZhejiang Environmental Monitoring Center, No. 117 Xueyuan Road, Hangzhou 310012, ChinaCollege of Life Sciences, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou 310058, ChinaThe effects of anthropogenic land use on the water quality of reservoir-based water sources are understudied. We trained a self-organizing map (SOM) to measure the spatial pattern of nutrients over the course of a year in 61 reservoirs located in eastern China. In the linear regression model and one-way analyses of variance, we found that water quality was influenced by period of the year (flood, low, and normal periods based on rainfall conditions) and reservoir altitude (plains vs. mountains). Our results indicated that land use metrics measured in aquatic&#8722;terrestrial interfaces significantly influenced the water quality of reservoirs. The land use intensity (LUI) and the proportion of construction land had a positive correlation with ammonia nitrogen (NH<sub>3</sub>-N) and chemical oxygen demand (COD<sub>Mn</sub>) concentrations, and redundancy analysis indicated that the percent of landscape (PLAND) represented by construction land was positively correlated with COD<sub>Mn</sub>, NH<sub>3</sub>-N, total phosphorus (TP), and total nitrogen (TN) concentrations. The proportion of cropland was not correlated with any water quality property except for COD<sub>Mn</sub> concentration. The total explained variance for water quality was highest when the scale was large (the area defined by a 1500 m radius around the reservoir), indicating that management which ensures water safety should be carried out at this scale.https://www.mdpi.com/2071-1050/11/18/4860interfaceland use metricsreservoirstemporal and spatial scaleswater quality
collection DOAJ
language English
format Article
sources DOAJ
author Lilian Ding
Qiyao Li
Jianjun Tang
Jiangfei Wang
Xin Chen
spellingShingle Lilian Ding
Qiyao Li
Jianjun Tang
Jiangfei Wang
Xin Chen
Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern China
Sustainability
interface
land use metrics
reservoirs
temporal and spatial scales
water quality
author_facet Lilian Ding
Qiyao Li
Jianjun Tang
Jiangfei Wang
Xin Chen
author_sort Lilian Ding
title Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern China
title_short Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern China
title_full Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern China
title_fullStr Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern China
title_full_unstemmed Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern China
title_sort linking land use metrics measured in aquatic–terrestrial interfaces to water quality of reservoir-based water sources in eastern china
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2019-09-01
description The effects of anthropogenic land use on the water quality of reservoir-based water sources are understudied. We trained a self-organizing map (SOM) to measure the spatial pattern of nutrients over the course of a year in 61 reservoirs located in eastern China. In the linear regression model and one-way analyses of variance, we found that water quality was influenced by period of the year (flood, low, and normal periods based on rainfall conditions) and reservoir altitude (plains vs. mountains). Our results indicated that land use metrics measured in aquatic&#8722;terrestrial interfaces significantly influenced the water quality of reservoirs. The land use intensity (LUI) and the proportion of construction land had a positive correlation with ammonia nitrogen (NH<sub>3</sub>-N) and chemical oxygen demand (COD<sub>Mn</sub>) concentrations, and redundancy analysis indicated that the percent of landscape (PLAND) represented by construction land was positively correlated with COD<sub>Mn</sub>, NH<sub>3</sub>-N, total phosphorus (TP), and total nitrogen (TN) concentrations. The proportion of cropland was not correlated with any water quality property except for COD<sub>Mn</sub> concentration. The total explained variance for water quality was highest when the scale was large (the area defined by a 1500 m radius around the reservoir), indicating that management which ensures water safety should be carried out at this scale.
topic interface
land use metrics
reservoirs
temporal and spatial scales
water quality
url https://www.mdpi.com/2071-1050/11/18/4860
work_keys_str_mv AT lilianding linkinglandusemetricsmeasuredinaquaticterrestrialinterfacestowaterqualityofreservoirbasedwatersourcesineasternchina
AT qiyaoli linkinglandusemetricsmeasuredinaquaticterrestrialinterfacestowaterqualityofreservoirbasedwatersourcesineasternchina
AT jianjuntang linkinglandusemetricsmeasuredinaquaticterrestrialinterfacestowaterqualityofreservoirbasedwatersourcesineasternchina
AT jiangfeiwang linkinglandusemetricsmeasuredinaquaticterrestrialinterfacestowaterqualityofreservoirbasedwatersourcesineasternchina
AT xinchen linkinglandusemetricsmeasuredinaquaticterrestrialinterfacestowaterqualityofreservoirbasedwatersourcesineasternchina
_version_ 1725065264327819264