Spatio-temporal dynamics of nutrients in the upper Han River basin, China

Li, Siyue; Liu, Wenzhi; Gu, Song; Cheng, Xiaoli; Xu, Zhinan; Zhang, Quanfa

doi:10.1016/j.jhazmat.2008.06.059

Cited by 115 publications

(96 citation statements)

References 24 publications

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“…Water pollution occurs worldwide as a result of anthropogenic activities, including unprecedented population growth, urbanization, industrialization, and agricultural practices (Jones and Clark 1987;Baker 2003;Claessens et al 2006;Li et al 2009b). Human disturbance on water quality occurs at the watershed scale due to changes in land use/land cover, which impact the physical, chemical, and ecological characteristics of aquatic environments (Donohue et al 2006;Chang 2007).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of spatial-temporal variations and trends in surface water quality across a rural-suburban-urban interface

Mei

Liao

Zhu

et al. 2014

Environ Sci Pollut Res

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Water quality degradation is often a severe consequence of rapid economic expansion in developing countries. Methods to assess spatial-temporal patterns and trends in water quality are essential for guiding adaptive management efforts aimed at water quality remediation. Temporal and spatial patterns of surface water quality were investigated for 54 monitoring sites in the Wen-Rui Tang River watershed of eastern China to identify such patterns in water quality occurring across a rural-suburban-urban interface. Twenty physical and chemical water quality parameters were analyzed in surface waters collected once every 4-8 weeks from 2000 to 2010. Temporal and spatial variations among water quality parameters were assessed between seasons (wet/dry) and among major land use zones (urban/suburban/rural). Factor analysis was used to identify parameters that were important in assessing seasonal and spatial variations in water quality. Results revealed that parameters related to organic pollutants (dissolved oxygen (DO), chemical oxygen demand (manganese) (COD Mn ), and 5-day biochemical oxygen demand (BOD 5 )), nutrients (ammonia nitrogen (NH 4 + -N), total nitrogen (TN), total phosphorus (TP)), and salt concentration (electrical conductivity (EC)) were the most important parameters contributing to water quality variation. Collectively, they explained 70.9 % of the total variance. A trend study using the seasonal Kendall test revealed reductions in COD Mn , BOD 5 , NH 4 + -N, petrol, V-phen, and EC concentrations over the 11-year study period. Cluster analysis was employed to evaluate variation among 14 sampling sites representative of dominant land use categories and indicated three, three, and four clusters based on organic, nutrient, and salt water quality characteristics, respectively. Factors that are typically responsible for water quality degradation (including population, topography, and land use) showed no strong correlation with water quality trends implying considerable point source inputs in the watershed. The results of this study help inform ongoing water quality remediation efforts by documenting trends in water quality across various land use zones.

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Section: Introductionmentioning

confidence: 99%

Evaluation of spatial-temporal variations and trends in surface water quality across a rural-suburban-urban interface

Mei

Liao

Zhu

et al. 2014

Environ Sci Pollut Res

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“…For each river, we established one monitoring station at a site near the river mouth ( Figure 1). Replicated samples of surface water (approximately 0.5 m depth) were collected monthly from January to December 2015 in the channel center from a boat or by wading if the water depth was less than 1 m. Pre-treatment methods including acidification and filtration have been described in detail in our previous study [11]. For the purpose of this study, the monthly data of 17 nutrient and heavy metal variables from 27 monitoring rivers during 2015 were determined.…”

Section: Water Sampling and Analytical Methodsmentioning

confidence: 99%

“…In addition, the Fe and Mn concentrations were measured by the flame atomic absorption spectrometric method. The details of these methods have been described elsewhere [11,30]. The detection limits or accuracy of these standard methods have been given in the environmental quality standards for surface water in China (GB3838-2002).…”

Section: Water Sampling and Analytical Methodsmentioning

confidence: 99%

“…Many previous studies reported a similar observation in other subtropical regions. For instance, Li et al (2009) demonstrated that dissolved N and P levels in river waters were relatively higher in the dry season than in the wet season in the upper Han River basin, China [11]. Moreover, Wang et al (2010) indicated that the wet season had higher concentrations of nutrients and heavy metals than the dry season in water bodies in the Grand Canal of China [35].…”

Section: Spatial and Seasonal Pattern Of Water Quality In Subtropicalmentioning

confidence: 99%

“…Water quality degradation can also result in many other ecological problems such as a reduction of aquatic biodiversity, the mortality of benthic communities, and fish deaths [9,10]. In addition, heavy metals can accumulate in the human body via the food chain and lead to serious damage to the nervous system and internal organs [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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Spatial and Seasonal Patterns of Nutrients and Heavy Metals in Twenty-Seven Rivers Draining into the South China Sea

Deng

Liu

2018

Water

Self Cite

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Due to the acceleration of industrialization and urbanization in recent decades, the majority of coastal rivers and estuaries in China have been moderately or severely contaminated by a variety of pollutants. We investigated the spatial and seasonal variations of water nutrients (permanganate index, chemical oxygen demand, biochemical oxygen demand, ammonium, nitrate, total nitrogen, and total phosphorus) and heavy metals (Hg, Pb, Cu, Zn, Se, As, Cd, Cr, Fe, and Mn) in 27 subtropical rivers draining into the South China Sea. Our results indicated that the average concentrations of all water quality parameters except ammonium, total nitrogen, and total phosphorus satisfied the requirements for grade III of the surface water quality standard of China. The concentrations of both nutrients and heavy metals showed a strong spatial variation. Cluster analysis classified the 27 rivers into three spatial clusters corresponding to low, moderate, and high pollution levels. In terms of seasonal variation, the values of chemical oxygen demand and biochemical oxygen demand in wet seasons were significantly lower than those in dry seasons. Multivariate statistical analyses demonstrated that river nutrients might mainly originate from domestic, industrial, and agricultural wastewaters, while heavy metals likely came from industrial activities and natural weathering processes. The findings of this study suggest that for reducing the pollution of subtropical rivers draining into the South China Sea, further efforts should be made to control nitrogen and phosphorus export from catchments.

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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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Spatio-temporal dynamics of nutrients in the upper Han River basin, China

Cited by 115 publications

References 24 publications

Evaluation of spatial-temporal variations and trends in surface water quality across a rural-suburban-urban interface

Evaluation of spatial-temporal variations and trends in surface water quality across a rural-suburban-urban interface

Spatial and Seasonal Patterns of Nutrients and Heavy Metals in Twenty-Seven Rivers Draining into the South China Sea

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

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