Assessment and prediction of the water ecological carrying capacity in Changzhou city, China

Bu, Jiuhe; Li, Chunhui; Wang, Xuan; Zhang, Yuan; Yang, Zhongwen

doi:10.1016/j.jclepro.2020.123988

Cited by 62 publications

(32 citation statements)

References 25 publications

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“…Yangzhou (119 2 ) and an urban development area of 261.2 km 2 . It is a typical water-scarce city characterized by extensive water pollution despite its abundant water resources (total surface water volume of 6.062 × 10 9 m 3 ) [32]. Wuxi is located at the northeastern corner of Taihu Lake with a population density of 1671 per km 2 , which is an industrial hub that accommodates thousands of factories.…”

Section: Study Areamentioning

confidence: 99%

Urban Water Quality Assessment Based on Remote Sensing Reflectance Optical Classification

Cai

et al. 2021

Remote Sensing

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With the acceleration of urbanization, increasing water pollution means that monitoring and evaluating urban water quality are of great importance. Although highly accurate, traditional evaluation methods are time consuming, laborious, and vastly insufficient in terms of the continuity of spatiotemporal coverage. In this study, a water quality assessment method based on remote sensing reflectance optical classification and the traditional grading principle is proposed. In this method, an optical water type (OWT) library was first constructed using the measured in situ remote sensing reflectance dataset based on fuzzy clustering technology. Then, comprehensive scoring rules were established by combining OWTs and 12 water quality parameters, and water quality was graded into different urban water quality levels (UWQLs) based on the scoring results. Using the proposed method, the relative water quality of urban waterbodies was qualitatively evaluated at the macro level based on images from the multispectral imager of Sentinel-2. In addition, there was a significant positive correlation between the UWQLs and the water quality index (WQI). These results indicate the potential of this method for quantitative assessment of urban water quality, providing a new way to evaluate water quality using remote sensing algorithms in the future.

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Section: Study Areamentioning

confidence: 99%

Urban Water Quality Assessment Based on Remote Sensing Reflectance Optical Classification

Cai

et al. 2021

Remote Sensing

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“…With the continuous indepth exploration of research fields, the research objects of resource carrying capacity have been extended from natural resources such as water resources and land resources [23][24][25] in the early stage to tourism resources [26], social resources [27], ecological resources [28][29] and environmental resources [30]. The main research methods include system dynamics [25,31], TOPSIS [30], ecological footprint [32] and AHP [28,31,33], etc. Domestic and foreign scholars have evaluated the level of various resource carrying capacity from multidimensional and multi-perspective.…”

Section: Introductionmentioning

confidence: 99%

“…Due to the large but unevenly distributed total of population and resources in China and the differences in resource endowment, the traditional evaluation methods only study a single region or resource,which cannot directly reflect the differences in carrying capacity among various study areas and resources, as well as the complementarity of superior and inferior resources [28][29][30][31][32][33]. To solve the influence of this problem on the study, Huang (2000) put forward the concept of relative resource carrying capacity (RRCC), that is, an area larger than the study area is selected as the reference area, and the relative carrying capacity (RCC) of various resources in the study area are calculated by the formula of resource stock or total consumption in the reference area and the study area [34].…”

Section: Introductionmentioning

confidence: 99%

Analysis on Spatio-Temporal Dynamic Evolution of Relative Resource Carrying Capacity of Coal Cities Based on PLE-EM-CPM Model

He¹,

Zhao²,

Bao³

et al. 2022

Pol. J. Environ. Stud.

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Coal cities are the impetus and guarantee of China's economic development. However, the longterm unreasonable exploitation of coal seriously affects the quality of eco-environment and residents' lives in coal cities. This study takes five coal cities in Anhui Province as the research objects, selects ten evaluation indicators of three dimensions based on the production-life-ecology (PLE) model, and improves the evaluation model of relative resource carrying capacity (RRCC). The relative carrying capacity (RCC) of various resources and the relative resource comprehensive carrying capacity (RRCCC) in coal cities from 2010 to 2019 are calculated by entropy-catastrophe progression method to explore the spatio-temporal dynamic evolution of RRCCC in each city, and the critical resistance factors are identified by resistance model. The results show that: (1) There is a particular gap between the RCC of various resources and the existing population resources. (2) RRCCC, with a good development trend in general, is at a relatively strong load level, tending to a strong load level.(3) The level of RRCCC in each city is unevenly distributed, with regional differences. (4) The ecological subsystem had the most significant impact on RRCCC before, and it will be replaced by the production subsystem in the future.

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“…Therefore, the coupling coordination model has been applied by many scholars to study the relationship between sys- Since the report of the 18th National Congress of the Communist Party of China put forward the construction of ecological civilization, the water ecology of the river basin has been paid more attention to [8][9][10] and has entered the stage of paying attention to the "three water management together" of water environment, water ecology, and water resources. With the development of the content of water resources management, the index system of WRCC is becoming more and more abundant, and many scholars are gradually taking water environment and water ecology into consideration [11][12][13]. Mingbo Chi et al's construction includes geological factors, a mining system, ecosystem, and water-resources systems to measure the WRCC of mining areas [14].…”

Section: Introductionmentioning

confidence: 99%

Research on Comprehensive Evaluation and Coordinated Development of Water Resources Carrying Capacity in Qingjiang River Basin, China

Wang

Xin

et al. 2021

Sustainability

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The protection of a water resource’s ecological environment is one of the most important tasks in the watershed in China. The evaluation of water resources carrying capacity (WRCC) is the foundation for the suitability of territorial space development. It is necessary to further analyze the weaknesses of the coordinated development of various dimensions of WRCC and explore the basis of territorial space development and optimization. This paper considers Chinese unique policy tasks, namely, “three water management together”, the types of main function areas, “red lines” control, and national spatial suitability evaluation, to construct the evaluation index system of WRCC. Monomial evaluation, integrated evaluation, and coupling coordination analysis methods are used separately to evaluate the carrying index, comprehensive carrying index, and coupling coordination degree of WRCC in the Qingjiang River Basin. The results show that: (1) As far as monomial evaluation is concerned, water resource supplies are often overloaded on the overall economy, industrial, and agricultural development; (2) The comprehensive indices of WRCC of the counties in the southwest are obviously better than that of the counties in the northeast; (3) The degree of coupling coordination of WRCC in the Qingjiang River basin is not high, and is essentially in the primary or barely coordinated level; (4) the short board of WRCC in the Qingjiang River basin presents obvious spatial characteristics, which from west to east are water environment, water resources and water ecology lagging, respectively. This paper measures WRCC for industry, agriculture, life, and ecology, which is helpful in promoting the suitability evaluation of land space development. Meanwhile, the case study of the Qingjiang River Basin provides reference for other regions to implement the “double evaluation”.

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Assessment and prediction of the water ecological carrying capacity in Changzhou city, China

Cited by 62 publications

References 25 publications

Urban Water Quality Assessment Based on Remote Sensing Reflectance Optical Classification

Urban Water Quality Assessment Based on Remote Sensing Reflectance Optical Classification

Analysis on Spatio-Temporal Dynamic Evolution of Relative Resource Carrying Capacity of Coal Cities Based on PLE-EM-CPM Model

Research on Comprehensive Evaluation and Coordinated Development of Water Resources Carrying Capacity in Qingjiang River Basin, China

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