Characteristics and Influencing Factors of Spatial Differentiation of Urban Black and Odorous Waters in China

Chen, Guolei; Luo, Jing; Zhang, Chunyan; Jiang, Liang; Tian, Li; Guang-ping, Chen

doi:10.3390/su10124747

Cited by 31 publications

(11 citation statements)

References 44 publications

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“…Geographical detector is a statistical method for studying spatial heterogeneity and determining relevant influencing factors, and is currently extensively used in such fields as the natural [42], social [43] and environmental science [44] and human health [45]. The basic principle of geographical detector is that if the sum of variances in the subareas of an area is smaller than the total variance of the area, then there is spatial heterogeneity in the area, which may be measured using the q-statistic [46].…”

Section: Geographical Detectormentioning

confidence: 99%

Identification of Dominant Factors Affecting Soil Erosion and Water Yield within Ecological Red Line Areas

et al. 2020

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Soil conservation and water retention are important metrics for designating key ecological functional areas and ecological red line (ERL) areas. However, research on the quantitative identification of dominant environmental factors in different ecological red line areas remains relatively inadequate, which is unfavorable for the zone-based management of ecological functional areas. This paper presents a case study of Beijing’s ERL areas. In order to objectively reflect the ecological characteristics of ERL areas in Beijing, which is mainly dominated by mountainous areas, the application of remote sensing data at a high resolution is important for the improvement of model calculation and spatial heterogeneity. Based on multi-source remote sensing data, meteorological and soil observations as well as soil erosion and water yield were calculated using the revised universal soil loss equation (RUSLE) and integrated valuation of ecosystem services and tradeoffs (InVEST) model. Combining the influencing factors, including slope, precipitation, land use type, vegetation coverage, geomorphological type, and elevation, a quantitative attribution analysis was performed on soil erosion and water yield in Beijing’s ERL areas using the geographical detector. The power of each influencing factor and their interaction factors in explaining the spatial distribution of soil erosion or water yield varied significantly among different ERL areas. Vegetation coverage was the dominant factor affecting soil erosion in Beijing’s ERL areas, explaining greater than 30% of its spatial heterogeneity. Land use type could explain the spatial heterogeneity of water yield more than 60%. In addition, the combination of vegetation coverage and slope was found to significantly enhance the spatial distribution of soil erosion (>55% in various ERL areas). The superposition of land use type and slope explained greater than 70% of the spatial distribution for water yield in ERL areas. The geographical detector results indicated that the high soil erosion risk areas and high water yield areas varied significantly among different ERL areas. Thus, in efforts to enhance ERL protection, focus should be placed on the spatial heterogeneity of soil erosion and water yield in different ERL areas.

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Section: Geographical Detectormentioning

confidence: 99%

Identification of Dominant Factors Affecting Soil Erosion and Water Yield within Ecological Red Line Areas

et al. 2020

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“…Many urban water bodies are heavily polluted by the discharge of polluted water from different sources due to the lack of effective urban water management and control, especially in developing countries. In China, highly polluted water bodies that contain excessive amounts of nutrients and wastes are referred to as 'black and odorous water' (Chen et al, 2018). The degraded water quality not only impairs the aquatic ecology but also threatens public health.…”

Section: Urban Water Environment Problemsmentioning

confidence: 99%

Water-Wise Cities and Sustainable Water Systems: Concepts, Technologies, and Applications

Fu¹,

Wang²

2021

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Building water-wise cities is a pressing need nowadays in both developed and developing countries. This is mainly due to the limitation of the available water resources and aging infrastructure to meet the needs of adapting to social and environmental changes and for urban liveability. This is the first book to provide comprehensive insights into theoretical, systematic, and engineering aspects of water-wise cities with a broad coverage of global issues. The book aims to (1) provide a theoretical framework of water-wise cities and associated sustainable water systems including key concepts and principles, (2) provide a brand-new thinking on the design and management of sustainable urban water systems of various scales towards a paradigm shift under the resource and environmental constraints, and (3) provide a technological perspective with successful case studies of technology selection, integration, and optimization on the “fit-for-purpose” basis. ISBN: 9781789060751 (paperback) ISBN: 9781789060768 (eBook)

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“…When q = 0, there is no spatial heterogeneity of the study objects. When q = 1, there is perfect spatial heterogeneity [49].…”

Section: Geographical Detector Modelmentioning

confidence: 99%

Spatial Distribution Characteristics of Soil Salinity and Moisture and Its Influence on Agricultural Irrigation in the Ili River Valley, China

Zhang

2019

Sustainability

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Soil salinization is a global problem, which threatens agricultural productivity and sustainability, especially in arid and semi-arid regions. Soil salinity and moisture are important factors affecting agricultural production in arid regions. However, few studies have considered the influence of topographic factors on the spatial distribution patterns of soil salinity and moisture. This research aims to explore the spatial distribution characteristics and its influencing factors of soil salinity and moisture in the oasis farmland of arid areas. In this paper, GIS and geostatistics methods were applied to analyze the spatial distribution characteristics and variability of soil salinity and moisture, and then the corresponding proxy variables were used to quantitatively study the influence factors by using the geographical detector model. The results showed the coefficients of the variation of soil salinity and moisture to be 71.25% and 31.89%, respectively. There was moderate spatial autocorrelation of soil salinity and moisture. Soil salinity in the southwest was higher than in the northeast, and soil moisture in the northwest and southeast were lower than in the center and the northeast edge. The main influencing factors were available phosphorus, roughness of terrain, alkaline nitrogen, available potassium, and elevation. Combined action of topographic factors and soil nutrients has a major influence on the spatial distribution of soil salinity and moisture. Therefore, developing a suitable fertilizer regime under different topographic conditions could be an effective way to promote the sustainability of oasis agriculture in arid areas.

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Characteristics and Influencing Factors of Spatial Differentiation of Urban Black and Odorous Waters in China

Cited by 31 publications

References 44 publications

Identification of Dominant Factors Affecting Soil Erosion and Water Yield within Ecological Red Line Areas

Identification of Dominant Factors Affecting Soil Erosion and Water Yield within Ecological Red Line Areas

Water-Wise Cities and Sustainable Water Systems: Concepts, Technologies, and Applications

Spatial Distribution Characteristics of Soil Salinity and Moisture and Its Influence on Agricultural Irrigation in the Ili River Valley, China

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