Zoning technology for the management of ecological and clean small-watersheds via k-means clustering and entropy-weighted TOPSIS: A case study in Beijing

Li, Xiang; Meng, Xinmiao; Ji, Xiaodong; Zhou, Jianqin; Pan, Chengxi; Gao, Na

doi:10.1016/j.jclepro.2023.136449

Cited by 24 publications

(6 citation statements)

References 28 publications

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“…The California Current is a significant aquatic ecosystem stretching from the southern coast of British Columbia, Canada, to the US shore, covering Washington, Oregon, and California, and extending southward to the Baja California Peninsula in Mexico [ 38 ]. Within this environment, the Pacific sardine holds international importance as a valuable model species due to its ecological significance and substantial variations in distribution and abundance influenced by environmental factors and fishing activities [ 39 ]. Several comprehensive studies explore various aspects of sardine research in this region, including historical patterns, fishery dynamics, ecological importance and its role in global governance frameworks.…”

Section: Methodsmentioning

confidence: 99%

Ecosystem-based management approaches for watershed conservation and geosustainability

Liu,

Zhao,

Chen

et al. 2024

Heliyon

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Section: Methodsmentioning

confidence: 99%

Ecosystem-based management approaches for watershed conservation and geosustainability

Liu,

Zhao,

Chen

et al. 2024

Heliyon

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“…The cluster analysis K-means algorithm, also known as the K-means clustering algorithm, is a widely used clustering algorithm that is the basis for other clustering algorithms [25,26]. Assuming that the input samples are S = X 1 , X 2 , •••, X m , the algorithm steps are as follows: (1) select the initial k category centers µ 1 , µ 2 , .…”

Section: Analytical Methods and Quality Assurancementioning

confidence: 99%

Characteristics and Causes of Coastal Water Chemistry in Qionghai City, China

Jiang

Feng

et al. 2023

Applied Sciences

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The coastal zone area of Qionghai City is one of the important coastal zones in the South China Sea, and its water environment has been affected by human activities such as urbanization and industrialization. In order to protect the water resources and ecological environment of this area, the water chemistry characteristics of the main watersheds and their causes in the coastal zone area of eastern Hainan Island were investigated to provide a scientific basis for environmental protection and sustainable development. In this study, the characteristics and sources of water chemical ion components were analyzed using a Piper trilinear diagram, Gibbs diagram, and correlation analysis with the coastal zone area of Qionghai city as the research object. The results show the following: (1) the dominant cation of water chemistry in the coastal zone of Qionghai City is Na+ with a mean value of 35.001 mg·L−1, and the dominant anion is Cl− with a mean value of 30.69 mg·L−1; (2) the dominant cation content in the coastal zone of Qionghai City is Na+ > Ca2+ > Mg2+ > K+, and the dominant anion content is Cl− > SO42− > HCO3− > CO32−; (3) at the five collection sites in the study area, the ion concentrations showed different trends, with the highest ion concentration in the water samples collected from aquaculture ponds, and the main water chemistry type was Na-Cl; the lowest ion concentration was in the water samples collected from the rivers, and the main type of water chemistry was Ca·Mg-HCO3. The source of water chemistry ions in the study area mainly included seawater, rock weathering, atmospheric precipitation, and evaporation concentration. The results of this study can provide a scientific basis for the development, utilization, and management of local water resources and provide basic data for environmental protection and sustainable development.

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“…The entropy-weight TOPSIS evaluation model is a multi-criteria decision-making method that combines the TOPSIS model with the entropy method. This model is a comprehensive evaluation approach based on the entropy-weight method to improve the TOPSIS model [69][70][71][72][73][74]. The principle is to detect the distance between the evaluated object and the optimal or worst values, subsequently calculating the proximity of the evaluated object to the ideal value and then ranking the strengths and weaknesses.…”

Section: Entropy-weight-topsis Evaluation Modelmentioning

confidence: 99%

Unveiling the Coupling Coordination and Interaction Mechanism between the Local Heat Island Effect and Urban Resilience in China

Wang,

Yang,

Liu

et al. 2024

Sustainability

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Climate change and urbanization have led to the increasing prominence of urban heat islands (UHIs) today, posing a huge challenge to cities. Urban resilience (UR) refers to the ability of a city or region to adapt to changes and risks. However, the influence between the heat island effect and regional urban resilience is not well understood. In this study, we proposed a methodological framework for unveiling the coupling coordination and interaction mechanism between UHIs and UR. This study first explored UHIs in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) and described the creation of a multidimensional index system that evaluates urban resilience across social, economic, ecological, and engineering dimensions. Furthermore, this study unveiled the coupling coordination effect of UHIs and UR through the coupling coordination degree model, and the influence mechanism between the drivers of UHIs and the change in UR was detected using a geographic probe. The results showed that the UHI region forms a ring-shaped belt around the entrance to the Pearl River Delta. The UHIs of the GBA show a significant trend of expansion and escalation over time. The UR of the GBA shows a spatial distribution pattern of high resilience among regional central cities and low resilience among peripheral cities, with significantly uneven development in sub-resilience dimensions. The UHIs and UR of the GBA showed a certain coupling and coordination effect, improving from barely synergistic to a primary coordination state. Among the drivers of UHIs, population density, precipitation, average nighttime light brightness, and ground-average CO2 emissions have strong explanatory power for the spatial variation in UR. The interaction between two factors has a stronger influence on UR than individual factors. The purpose of this paper is to initially reveal the influence mechanism between UHIs and UR and to provide a theoretical basis for further exploring the path of sustainable urban development.

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Zoning technology for the management of ecological and clean small-watersheds via k-means clustering and entropy-weighted TOPSIS: A case study in Beijing

Cited by 24 publications

References 28 publications

Ecosystem-based management approaches for watershed conservation and geosustainability

Ecosystem-based management approaches for watershed conservation and geosustainability

Characteristics and Causes of Coastal Water Chemistry in Qionghai City, China

Unveiling the Coupling Coordination and Interaction Mechanism between the Local Heat Island Effect and Urban Resilience in China

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