Influences of land use metrics at multi-spatial scales on seasonal water quality: A case study of river systems in the Three Gorges Reservoir Area, China

Zhang, Jing; Li, Siyue; Dong, Ruozhu; Jiang, Changsheng; Ni, Maofei

doi:10.1016/j.jclepro.2018.09.179

Cited by 233 publications

(107 citation statements)

References 47 publications

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“…In addition, as the water quality parameters collected in this research came from April, which was in the non-flood season, so the non-point source pollutants brought by agricultural activities had not been discharged in a large amount, which led to the result that the correlation between CLP and water quality was not significant. This is consistent with the conclusion of the relevant studies that the effect degree of cultivated land on water quality is seasonal [31,95].…”

Section: Effects Of Environmental Factors On Water Qualitysupporting

confidence: 93%

“…They are also the key to maintain the health of the watershed ecosystem and the stability of the regional hydrological cycle. Relevant research shows that forests have a better purification ability to water quality than other environmental factors [31,40,92]. Therefore, the improvement of forest coverage rate (FRC) is also the key to improve river water quality.…”

Section: Discussionmentioning

confidence: 99%

“…Some studies focus on the spatial effects of human activities on water quality, and the effects of landscape pattern and structure of land use in adjacent water bodies or of the reservoirs on water quality are studied [23][24][25]. Extensive studies highlight the impacts of different land use types on water quality, such as areal proportion [26,27], topographic characteristics [28][29][30], multi-spatial scales [31,32], and seasonal and temporal changes [33,34]. However, some scholars argued that even with similar or same land use types and proportions, different land use intensities may result in a wide range of water quality [35,36]; only using the quantitative proportion of land use in the watershed to explain the water quality performance will often lead to different findings [10][11][12][13]37,38].…”

Section: Introductionmentioning

confidence: 99%

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Effects of Landscape Development Intensity on River Water Quality in Urbanized Areas

et al. 2019

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Urban development and human activities have greatly changed the appearance of urban landscapes, and also affect urban river water environments. Rapidly urbanized regions in China face particularly severe pressures and challenges in alleviating degradation of river water quality. Information is needed on which indexes of landscape development intensity in rapidly-urbanized areas are the key factors affecting the quality of river water environments, and how these factors affect water quality. In order to answer these questions, this research selected six indexes belonging to three dimensions for landscape development intensity evaluation. Based on five water quality parameters of 20 rivers and the land use data of 20 small watersheds of Liangjiang New Area, Chongqing, China in 2014, this research explored the correlation between the landscape development intensity indexes and river water quality through redundancy analysis. We found that the impervious surface rate and the land average fixed asset investment are the key indexes to affect river water quality. Regulating the corresponding indexes at the urban planning and design level, as well as the decision making level, can effectively achieve the goal of improving urban river water quality. The conclusions inspire strategies in planning and design, and are helpful for government decision making to effectively protect river water environment in rapidly urbanized areas in the developing countries.

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Section: Effects Of Environmental Factors On Water Qualitysupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effects of Landscape Development Intensity on River Water Quality in Urbanized Areas

et al. 2019

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“…In addition to being a strong predictor of water quality during the low period, land use configuration had the strongest effect when the buffer distance was 1500 m, which included a higher proportion of construction land (Table S1). Several reports have indicated that among the factors affecting stream water quality, the presence of a 100 m wide riparian zone was the most important [25,45]. Although the local scale should have a large effect on water quality because factors at this scale function as pollutant filters [21], larger scales may have had a significant effect on water quality in the current study due to dispersal along and outside of the river network.…”

Section: Discussionmentioning

confidence: 54%

“…Researchers found that a 1000 m buffer scale (1000 m radius around the reservoir) is superior to both the catchment scale and other river scales in explaining overall changes in water quality [10]. In another study, however, researchers found that the catchment scale contributes more to explaining overall changes in water quality than the bank scale (a 100 m buffer scale) [25]. Because the definition of a riparian zone is vague, the relationship between different riparian zone scales and water quality remains to be studied.…”

Section: Introductionmentioning

confidence: 99%

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

Ding

Tang

et al. 2019

Sustainability

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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–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 (NH3-N) and chemical oxygen demand (CODMn) concentrations, and redundancy analysis indicated that the percent of landscape (PLAND) represented by construction land was positively correlated with CODMn, NH3-N, total phosphorus (TP), and total nitrogen (TN) concentrations. The proportion of cropland was not correlated with any water quality property except for CODMn 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.

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Impacts of land use and landscape pattern on water quality at multiple spatial scales in a subtropical large river

et al. 2022

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The coupling between land use/landscape pattern and water quality in river systems varies across different spatial and temporal scales. It is important to understand the association between water quality and land use/landscape pattern across different spatial and temporal scales for the protection of water resources. Here, we measured seasonal water quality at 12 sub‐basins in the upper reaches of the Han River (UHR) between 2010 and 2018. We conducted factor analysis and redundancy analysis to determine the links between land use and water quality at multiple spatial scales and to identify the main factors influencing water quality. We found that the concentration of nutrients, including total nitrogen, total phosphorus, nitrate‐N and ammonium‐N, was higher during the wet season than the dry season. Total nitrogen was the main driver of nutrient pollution in the UHR, whereas total phosphorus was identified as another potential nutrient pollutant. We also found that water quality parameters were more strongly related to land use types during the wet season than the dry season. Croplands and urban lands increased phosphorus concentrations of river water, whereas forest and grasslands decreased the nitrogen concentrations of river water at the sub‐basin scale. Land use at the riparian zone scales better explained variations in water quality than land use at sub‐basin scales. The explained variations in landscape metrics were generally higher during the dry season than the wet season. The largest patch index and Shannon's diversity index were the main predictors of river water quality in the UHR.

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Influences of land use metrics at multi-spatial scales on seasonal water quality: A case study of river systems in the Three Gorges Reservoir Area, China

Cited by 233 publications

References 47 publications

Effects of Landscape Development Intensity on River Water Quality in Urbanized Areas

Effects of Landscape Development Intensity on River Water Quality in Urbanized Areas

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

Impacts of land use and landscape pattern on water quality at multiple spatial scales in a subtropical large river

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