Assessing the spatiotemporal variability of lake water quality using A novel multidimensional shape – Position similarity cloud model

Yao, Jiping; Wang, Guoqiang; Wang, Libo; Zhang, Xiaojing; Wang, Puze

doi:10.1016/j.jhydrol.2021.126379

Cited by 20 publications

(4 citation statements)

References 38 publications

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“…It effectively integrates the randomness and ambiguity of objective things or human knowledge, and the research through unified mathematical expressions, which better reflect the universal laws of objective phenomena with randomness and ambiguity. It is used in the assessment of the development level of regional industrialized buildings [34], the assessment of the temporal and spatial variability of lake water quality [35] and the portfolio selection of variable risk preferences [36].…”

Section: Evaluation Methodsmentioning

confidence: 99%

Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory

Wang

Lu³

et al. 2021

Sustainability

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In the process of economic development, the exploitation and utilization of resources has played an important role, but the subsequent post-mining collapse and the shortage of land resources have affected future reconstruction to a certain extent. Currently, there is a firm belief in sustainable development and its goals to be achieved in the future. Based on the concept of sustainable development, this paper examines the feasibility of rebuilding channels under adverse geological conditions, and studies whether there are risks and the degree of risk. According to the characteristics of the experts’ judgment language and the ambiguity and randomness between various factors, it is proposed that a cloud model is used to improve the AHP (Analytic Hierarchy Process) risk assessment method. At the same time, the traditional matter–element theory is improved through the cloud model, so that the impact of uncertainty and randomness can be comprehensively considered in the evaluation; finally, forming the risk assessment system of the cloud-based AHP and cloud-based matter–elements. The application of examples shows that, compared with the methods in the relevant literature, the evaluation results of this article are more objective, more accurate, have better applicability, and play an important guiding role in channel construction under adverse geological conditions.

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Section: Evaluation Methodsmentioning

confidence: 99%

Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory

Wang

Lu³

et al. 2021

Sustainability

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“…Consequently, an urgent issue of the EV appears in the basins, primarily manifesting in the encroachment and destruction of environmental spaces, severe water pollution, and the continued decline in ecosystem service functions [11,12]. The studies that have been conducted for the Nansi Lake Basin have focused on the assessment of ecosystem service function [13], ecological health assessment [14], landscape pattern evolution analysis [15,16], water environment, and water quality assessment [17,18]. The scope of research is gradually shifting from a single wetland environment to the whole basin.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Variation and Driving Factors of Ecological Vulnerability in Nansi Lake Basin, China

Sun

Liu

Sang

2023

IJERPH

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Lake basins are one of the most significant areas of human–land interaction. It is essential for the region’s ecological protection and high-quality development to assess their ecological vulnerability (EV) and analyze the key driving factors of EV. Considering the characteristics of the lake basin, we chose 17 indicators to evaluate the EV of the Nansi Lake Basin based on the “sensitivity-resilience-pressure” (SRP) model. Then, spatial principal component analysis (SPCA) and a transfer matrix were used to analyze the spatial-temporal variation characteristics of the EV. Moreover, the optimal parameters-based geographical detector (OPGD) was applied to investigate the factors influencing the spatial heterogeneity of the EV. The results indicated that the EV of the Nansi Lake Basin was characterized by a circling spatial structure, with low values distributed in the Nansi Lake and its surrounding areas, as well as high values concentrated in the northwest. The EV of the Nansi Lake Basin decreased from 2010 to 2020, indicating that the overall ecological pressure in the Nansi Lake Basin decreased. Climatic factors, land use type, and habitat quality were the primary factors that influenced the spatial heterogeneity of the EV in the basin. Our findings can serve as policy guidelines for ecological management and the sustainable development of the Nansi Lake Basin and also contribute to the EV assessment of lake basins.

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“…An awareness of the characteristics of the changes in the water quality and the factors which influence the changes is the premise of scientific pollution control (Yaseen et al, 2018). Current research on Nansi Lake and the inflow rivers has focused mainly on the trends in water quality and evaluation (Gao et al, 2013;Xu et al, 2019;Yao et al, 2021), the water quality response relationships of river-lake (Feng et al, 2022), the sediment distribution (Zhuang et al, 2019;Guo et al, 2021), the evolution of plankton (Tian et al, 2013;Meng et al, 2017), and the nexus between water pollution and the economy (Wang et al, 2015;Liu et al, 2020). The factors which govern the changes in water quality are complex, with multiple factors intertwining and interacting.…”

Section: Introductionmentioning

confidence: 99%

Growth in the Economic and Hydraulic Engineering Capacities Drives Water Quality Improvement in the Eastern Region of Nansi Lake, China

Zhao

Dai

et al. 2022

Front. Environ. Sci.

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Knowledge of the extent of water pollution along a diversion channel is essential for ensuring the security and effectiveness of water diversion projects. Thus, identifying the trends in the water quality and the factors which influence the trends along a diverted river is a prerequisite to ensuring the safety of the water diversion. As an important control unit of the Eastern Route of the South to North Water Diversion Project, the hilly eastern region of Nansi Lake Basin (ENLB) suffers excess water pollution in the water transferred into Nansi Lake during the flood season. The comprehensive pollution index (CPI), the Mann-Kendall trend test and analysis of variances were used to characterize the spatiotemporal variation of water quality in the three main mountainous rivers of the ENLB. The contribution of different factors which influencing the variation of the water quality parameters may be explained using ridge regression analysis. The results showed that the CPI for the three major rivers decreased significantly from 2000 to 2012. The rivers had problems in compliance, and this was most noticeable in the Guangfu River. The main pollutants exceeding the water quality standards were the chemical oxygen demand and total phosphorus. The GDP per capita was the largest factor which influenced the changes in the regional water quality, with the average contribution being 30%. An increase in the water storage capacity was shown to have a positive effect on improving the water quality. The results provided a scientific basis for establishing a regional pollution control strategy and would give support to the planning of future water diversion projects.

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Assessing the spatiotemporal variability of lake water quality using A novel multidimensional shape – Position similarity cloud model

Cited by 20 publications

References 38 publications

Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory

Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory

Spatial-Temporal Variation and Driving Factors of Ecological Vulnerability in Nansi Lake Basin, China

Growth in the Economic and Hydraulic Engineering Capacities Drives Water Quality Improvement in the Eastern Region of Nansi Lake, China

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