Response of water quality to land use and sewage outfalls in different seasons

Xu, Jing; Jin, Guangqiu; Tang, Hongwu; Mo, Yuming; Wang, You‐Gan; Li, Ling

doi:10.1016/j.scitotenv.2019.134014

Cited by 51 publications

(22 citation statements)

References 73 publications

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“…Farmland is the main influence factor of COD and BOD, which works as a "sink" for organic pollution in dry seasons and "source" in wet seasons. Similar patterns had been observed by our previous study, which focused on nutrients and DO in this area [53]. One potential reason is that the surface runoff in the HRB had huge variations between dry and wet seasons ( Table 7).…”

Section: Discussionsupporting

confidence: 87%

“…Besides, different water quality parameters tend to have different dominant spatial scales. For example, based on our previous research, the most significant spatial scale for ammonia nitrogen (AN) and dissolved oxygen (DO) in the HRB was the local scales within 20 km radii around monitor stations [53]. It was caused by the various chemical properties of these water contaminants.…”

Section: Discussionmentioning

confidence: 99%

“…The daily discharge datasets were provided by the hydrographic office of Huaihe River Commission of the Ministry of Water Resources, P. R. C. The COD and BOD loads were calculated by concentration data to multiply the discharge data in the same days. Based on the climate characteristics in the HRB [52,53], the dry seasons were from October to March and the wet seasons were from April to September. In order to assess the anthropogenic impacts on water quality in dry and wet seasons, the annual average of COD and BOD loads in two seasons were calculated.…”

Section: Data Sources and Processingmentioning

confidence: 99%

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Assessing Anthropogenic Impacts on Chemical and Biochemical Oxygen Demand in Different Spatial Scales with Bayesian Networks

Jin

et al. 2020

Water

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In order to protect the water environment in seriously polluted basins, the impacts of anthropogenic activities (sewage outfalls and land use) on water quality should be assessed. The Bayesian network (BN) provides a convenient way to model these complex processes. In this study, anthropogenic impacts on chemical oxygen demand (COD) and biochemical oxygen demand (BOD) were evaluated in the Huaihe River basin (HRB) considering dry and wet seasons and different spatial scales. The results showed that anthropogenic activities had the most significant impacts on COD and BOD at the catchment scale. In dry seasons, sewage outfalls played an important role in organic pollution. Farmland became the most important source in wet seasons although it had a “sink” process in dry seasons. Intensive human activities in urban made significant contributions to increased COD levels. Grassland had a negative relationship with organic pollution, especially in dry seasons. Therefore, governments should implement strategies to control organic matters transported from urban and farmland regions. Increasing the efficiency of wastewater treatments and the percentage of grassland in the riparian zone could improve water quality. These results can enhance understanding of anthropogenic impacts on water quality and contribute to efficient management for river basins.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Section: Data Sources and Processingmentioning

confidence: 99%

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Assessing Anthropogenic Impacts on Chemical and Biochemical Oxygen Demand in Different Spatial Scales with Bayesian Networks

Jin

et al. 2020

Water

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“…The water quality of streams during the high water period is affected by the dual effects of land use, especially the construction land and cropland nonpoint sources, which could effectively reflect the content and intensity of human activities in the regional context [37][38][39][40]. The water quality sampling work at 25 stream sections was finished within one week when the stream flow was relatively stable during the local high-water period in June 2014 ( Figure 3).…”

Section: Water Sampling and Buffer Zone Delineationmentioning

confidence: 99%

Effects of Land Use on Stream Water Quality in the Rapidly Urbanized Areas: A Multiscale Analysis

Song

Shao

et al. 2020

Water

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The land use and land cover changes in rapidly urbanized regions is one of the main causes of water quality deterioration. However, due to the heterogeneity of urban land use patterns and spatial scale effects, a clear understanding of the relationships between land use and water quality remains elusive. The primary purpose of this study is to investigate the effects of land use on water quality across multi scales in a rapidly urbanized region in Hangzhou City, China. The results showed that the response characteristics of stream water quality to land use were spatial scale-dependent. The total nitrogen (TN) was more closely related with land use at the circular buffer scale, whilst stronger correlations could be found between land use and algae biomass at the riparian buffer scales. Under the circular buffer scale, the forest and urban greenspace were more influential to the TN at small buffer scales, whilst significant positive or negative correlations could be found between the TN and the areas of industrial land or the wetland and river as the buffer scales increased. The redundancy analysis (RDA) showed that more than 40% variations in water quality could be explained by the landscape metrics at all circular and riparian buffer scales, and this suggests that land use pattern was an important factor influencing water quality. The variation in water quality explained by landscape metrics increased with the increase of buffer size, and this implies that land use pattern could have a closer correlation with water quality at larger spatial scales.

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“…Rivers in the city, serving as reliable surface water sources, are important natural geographical elements and ecological corridors in urban landscape, beneficial to public health and ecological environment [1][2][3]. The degradation of river water quality of watershed has become a global environmental issue in recent years [4,5], which is proved to be attributed to many natural and anthropogenic factors in watershed landscapes [6][7][8]. Studies have shown that the condition of urban rivers is strongly influenced by human activities, especially land use and cover changes in the process of urbanization within the surrounding landscape [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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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Response of water quality to land use and sewage outfalls in different seasons

Cited by 51 publications

References 73 publications

Assessing Anthropogenic Impacts on Chemical and Biochemical Oxygen Demand in Different Spatial Scales with Bayesian Networks

Assessing Anthropogenic Impacts on Chemical and Biochemical Oxygen Demand in Different Spatial Scales with Bayesian Networks

Effects of Land Use on Stream Water Quality in the Rapidly Urbanized Areas: A Multiscale Analysis

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

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