A comparative study on nitrogen-concentration dynamics in surface water in a heterogeneous landscape

Chen, Liding; Fu, Bojie; Zhang, Shurong; Qiu, Jun; Guo, Xudong; Yang, Fulin

doi:10.1007/s00254-002-0547-6

Cited by 34 publications

(24 citation statements)

References 19 publications

(7 reference statements)

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“…These results can be considered as a reflection of the fact that urban land percentage and PD are different metrics of human habitation (Baker, 2003). In addition, several other explanatory variables, such as topographic and landscape indexes, are commonly applied as potential explanatory variables (Chen et al, 2002;Pratt and Chang, 2012;Sun et al, 2014). However, our previous research did not find strong relationships between these subcatchment characteristics and water quality in the Wen-Rui Tang River watershed (Mei et al, 2014;Lu et al, 2011).…”

Section: Variable Selectionmentioning

confidence: 80%

Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression

Chen

Mei

Dahlgren

et al. 2016

Science of The Total Environment

162

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• The modified GWR models had higher R 2 and reflected the actual spatial features.• A manual variable excluding-selecting method is explored to avoid multicollinearity.• Influences of the dominant indicator on water quality varied with space and seasons.• Protection policies need consider sitespecific conditions and seasonal variations. G R A P H I C A L A B S T R A C Ta b s t r a c t a r t i c l e i n f o As an important regulator of pollutants in overland flow and interflow, land use has become an essential research component for determining the relationships between surface water quality and pollution sources. This study investigated the use of ordinary least squares (OLS) and geographically weighted regression (GWR) models to identify the impact of land use and population density on surface water quality in the Wen-Rui Tang River watershed of eastern China. A manual variable excluding-selecting method was explored to resolve multicollinearity issues. Standard regression coefficient analysis coupled with cluster analysis was introduced to determine which variable had the greatest influence on water quality. Results showed that: (1) Impact of land use on water quality varied with spatial and seasonal scales. Both positive and negative effects for certain land-use indicators were found in different subcatchments. (2) Urban land was the dominant factor influencing N, P and chemical oxygen demand (COD) in highly urbanized regions, but the relationship was weak as the pollutants were mainly from point sources. Agricultural land was the primary factor influencing N and P in suburban and rural areas; the relationship was strong as the pollutants were mainly from agricultural surface runoff. Subcatchments located in suburban areas were identified with urban land as the primary influencing factor during the wet season while agricultural land was identified as a more prevalent influencing factor during the dry season. (3) Adjusted R 2 values in OLS models using the manual variable excluding-selecting method averaged 14.3% higher than using stepwise multiple linear regressions. However, the corresponding GWR models had adjusted R 2~5 9.2% higher than the optimal OLS models, confirming that GWR models demonstrated better prediction accuracy. Based on our findings, water resource protection policies should consider site-specific land-use Contents lists available at ScienceDirectScience of the Total Environment j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / s c i t o t e n v conditions within each watershed to optimize mitigation strategies for contrasting land-use characteristics and seasonal variations.

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Section: Variable Selectionmentioning

confidence: 80%

Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression

Chen

Mei

Dahlgren

et al. 2016

Science of The Total Environment

162

View full text Add to dashboard Cite

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“…Numerous studies have found the landscape structure to be the main factor influencing the nutrient and organic matter runoff from watersheds. This has been shown at the global scale, as well as at the regional and local scales for catchments of dominatingly agricultural use, for forested areas and for heterogeneous multifunctional landscapes (Chen et al, 2002;Buck et al, 2004).…”

Section: Discussionmentioning

confidence: 82%

Ecological relationships between phytoplankton communities and different spatial scales in European reservoirs: implications at catchment level monitoring programmes

et al. 2009

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Phytoplankton communities are structured by factors acting over temporal and spatial scales. Identifying which factors are driving spatial patterns in aquatic communities is the central aim of ecology. In this study, data sets of phytoplankton communities and environmental data of two Portuguese reservoirs types (lowland ''riverine reservoirs'' and higher altitude ''artificial lake reservoirs'') were used to determine the importance of environmental variables at different spatial (geographical, regional and local) and time scales (seasons, years) on the community structure. In all the data sets, the multivariate ordination technique Canonical Correspondence Analysis (CCA) showed that regional and local scales explained the majority (9-18% and 13-19%, respectively) of the taxa variance. However, for ''riverine reservoirs'', time variables were more important, explaining 27% of the variability in phytoplankton assemblages. Variance partitioning was used to assess the individual importance of the three spatial scales and time for the community structure of the two reservoir types. The majority of among-site variability (5.9-21.4%) was accounted for by time variables, with local, regional, and geographical scale variables accounting for 3.3-5.6%, 3.7-4.5% and 2.6-2.9%, respectively. The effects of different spatial scales on phytoplankton communities were clearly interrelated; thus, implying that phytoplankton assemblages are capable of detecting stress from catchment to site scales.Handling editor: J. Padisak Electronic supplementary material The online version of this article

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“…Some land uses may contribute to the maintenance of water quality due to a biogeochemical transformation process (Basnyat et al 1999). Based on the theory of ''source-sink'' ecological processes, some landscape types played a source-like role which served as a contributing zone and contribute nutrients and other nonpoint-source pollutants to surface and subsurface waters that end up in stream water; some played a sink-like role which served as nutrient retention zones or as nutrient transformation zones as dissolved or suspended nutrients or sediments move downstream; and some played a transportation role during the course of non-point pollution development (Chen et al 2002. The degree to which landscape types influence water quality was different with different landscape types.…”

Section: Effects Of Landscape Component On Water Qualitymentioning

confidence: 99%

Eco-hydrological effects of landscape pattern change

Zhao

Chen

et al. 2005

Landscape Ecol Eng

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Scientists and environmental managers alike are increasingly concerned about landscape pattern change and its effect on hydrological and ecological processes. In this paper, research progress is reviewed and key issues of eco-hydrological effects of landscape pattern change are discussed. There are different ecohydrological effects with landscape pattern change, and most attention is paid to runoff, water quality, and soil loss. Landscape shape and spatial distribution can change precipitation-runoff processes and lead to the change in runoff yield. Water quality is closely connected with the composition and spatial pattern of ''source'' and ''sink'' landscapes. Soil erosion systems are usually modified by land use structure and landscape pattern, and soil loss will be either reduced or increased with land use change. In addition, the change of landscape pattern also has potential impacts on climate and soil quality. In future studies, more attention should be paid to comprehensive multi-scale and integrated research of landscape pattern and eco-hydrological processes.

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A comparative study on nitrogen-concentration dynamics in surface water in a heterogeneous landscape

Cited by 34 publications

References 19 publications

Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression

Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression

Ecological relationships between phytoplankton communities and different spatial scales in European reservoirs: implications at catchment level monitoring programmes

Eco-hydrological effects of landscape pattern change

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