Comprehensive evaluation and scenario simulation for the water resources carrying capacity in Xi'an city, China

Yang, Zhaoyang; Song, Jinxi; Cheng, Dandong; Xia, Jun; Li, Qi; Ahamad, Muhammad İ̇rfan

doi:10.1016/j.jenvman.2018.09.085

Cited by 206 publications

(128 citation statements)

References 40 publications

Supporting

Mentioning

127

Contrasting

Order By: Relevance

“…In recent years, some researchers have mainly focused on single factor evaluations of carrying capacity or regional carrying capacity analyses [57][58][59] but have not considered the comprehensive capacity of resources and the environment and have not provided useful support for spatial planning work. Moreover, due to the obvious differentiation of resources in China's national territory, the different regions used as evaluation units to explore the spatial differences of RECC and then guide the layout of land space and economic development are the focus of current spatial planning research [60].…”

Section: Relationship Between Carrying Capacity and Land Space Develomentioning

confidence: 99%

A Land Space Development Zoning Method Based on Resource–Environmental Carrying Capacity: A Case Study of Henan, China

Xie

2020

IJERPH

View full text Add to dashboard Cite

As a key element in China’s spatial planning, the development zoning of land space has become a focus of China’s current activity. During its rapid social and economic development, China has faced severe and diverse challenges regarding sustainable development, such as farmland occupation, environmental degradation, urban land disorder expansion, etc. Against this backdrop, research on the linkage between resource–environmental carrying capacity (RECC) and the development zoning of land space in the process of sustainable development has received increased attention, and an accurate evaluation of the RECC would provide useful guidance for Chinese policy makers to carry out the development zoning of land space. This paper uses Henan Province as an example to construct a comprehensive evaluation model of “resource carrying capacity (RCC)–eco–environmental carrying capacity (EECC)–socio–economic carrying capacity (SECC)”, which calculates the level of RECC in a provincial area. In addition, this paper designs a correlation model between the RECC and the development zoning of land space, which uses a three-dimensional magic cube evaluation model to analyze the development zoning layout of land space. The results showed that a geographical pattern exists, where in the southwestern areas of Henan Province have a higher RECC than the central and northeastern areas. The results also indicated that the land space patterns of Henan Province can be divided into seven types of areas through a three-dimensional magic cube evaluation model, which can better reflect the spatial differentiation characteristics of the comprehensive index of RECC. The results of this study offer an important reference for policy-makers to make decisions and also provide a scientific and pragmatic basis for the formulation of sustainable development strategies.

show abstract

Section: Relationship Between Carrying Capacity and Land Space Develomentioning

confidence: 99%

A Land Space Development Zoning Method Based on Resource–Environmental Carrying Capacity: A Case Study of Henan, China

Xie

2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…In order to study the WRCC of a specific region in the future, evaluation studies can be combined with predictive research. For example, Yang et al predicted the WRCC of Xi'an in 2020 [31]. Usually, the prediction research needs to set up multiple scenarios and obtain the prediction results of WRCC and then get the regulation programs.…”

Section: Literature Reviewmentioning

confidence: 99%

A Three-Stage Hybrid Model for Space-Time Analysis of Water Resources Carrying Capacity: A Case Study of Jilin Province, China

Liu

Yang

et al. 2020

Water

View full text Add to dashboard Cite

Water shortage, water pollution, shrinking water area and water mobility are the main contents of the water resources crisis, which are widespread in the social and economic development of Jilin Province. In this paper, a three-stage hybrid model integrating evaluation, prediction and regulation is constructed by combining the load-balance method and the system dynamics method. Using this model, the current states of water resources carrying capacity (WRCC) in 2017 and the trend of water demand/available from 2018 to 2030 were obtained. Using the orthogonal test method, the optimal combination program of agricultural and industrial water efficiency regulation and water resources allocation was selected. The results show that the pressure of the human–water resources system in Changchun, Liaoyuan and Baicheng is greater than the support, and the other six cities are not overloaded. The water demand in Jilin Province and its nine cities will increase from 2018 to 2030, if the current socio-economic development pattern is maintained. Therefore, we change the water quantity carrying capacity index by controlling agriculture, industrial water efficiency and trans-regional water transfer. Compared with 2015, among the optimal program obtained, the change range of the water use per 10,000 RMB of agricultural output is (−5%, 25%), and the water use per 10,000 RMB of industrial added value is (−45%, −35%), and the maximum water transfer is 1.5 billion m3 per year in 2030. This study analyzes the development pattern of WRCC in the process of water conservancy modernization in Jilin Province and provides reference for other provinces to make the similar plan.

show abstract

“…The authors of [7] also constructed an urban ecological capacity capability framework to evaluate the relationship between ecological carrying capacity and economic development in Beijing during the period from 1996 to 2012 and revealed that both population and economic levels had exceeded the city's ecological carrying capacity. A similar situation applies to Xi'an; under current growth patterns, resource exploration cannot sustain a water resource carrying capacity [12], and therefore, an environmentally friendly economic growth pattern and substantial investment in environmental protection are necessary. Thus, generally speaking, research on carrying capacities globally and within China take one of two approaches: studying the carrying capacity of a single factor based on the shortage of, for example, land, water, or key mineral resources, to determine resource carrying capacity, environmental carrying capacity, or population carrying capacity; or taking urban resources, environmental conditions, and other factors as the objects of research, and exploring the carrying capacity of multiple factors closely related to economic and social activities, i.e., comprehensive carrying capacity, such as regional carrying capacity, ecological carrying capacity, or UCC.…”

Section: Introductionmentioning

confidence: 94%

“…In essence, the method provides a deeper description of the concept's overall uncertainty and can be used to minimize the uncertainty in an evaluation's analysis, thus making the evaluation more objective. Following [3,12], this paper uses the improved entropy method to measure the comprehensive carrying capacity of the 26 cities in the YRD, using Matlab 2016 b software.…”

Section: Model Specificationmentioning

confidence: 99%

A Four-Dimensional Evaluation of the Urban Comprehensive Carrying Capacity of the Yangtze River Delta, China

Shao

Zhao

2019

Sustainability

View full text Add to dashboard Cite

The evaluation of urban comprehensive carrying capacity (UCC) is of great importance in maintaining urban socio-economic sustainable development. However, UCC is still in its nascent period with limited applications and a lack of credible assessment methods. To enrich this field, this study constructed an objective scientific index to evaluate the UCC of the Yangtze River Delta (YRD) region from a four-dimensional perspective, examining economy, society, environmental, and transportation subsystems. The improved entropy method based on 18 weighted indicators was used to measure the UCC of the 26 cities of the YRD for the period 1990-2018. Results indicate that nine cities were overloaded in 2018, meaning comprehensive carrying capacity demand exceeds supply, and the other seventeen were in loadable condition, meaning such demand did not exceed supply; the social and transportation subsystems are the most important because their index weights and UCC levels are higher than the other two subsystems; the overall UCC for all cities in the YRD is at a medium level, and there are large disparities between the various cities. The empirical results imply that the government should take effective measures to improve UCC in these cities, combining cities' specific advantages to enhance the efficiency of resource allocation and utilization and improve carrying capacities, and changing the mode of economic development. Based on UCC levels, it is also important to improve environmental conditions and coordination and integration in the development of urbanization. Policy implications on improving UCC have been highlighted in the final section.

show abstract

Comprehensive evaluation and scenario simulation for the water resources carrying capacity in Xi'an city, China

Cited by 206 publications

References 40 publications

A Land Space Development Zoning Method Based on Resource–Environmental Carrying Capacity: A Case Study of Henan, China

A Land Space Development Zoning Method Based on Resource–Environmental Carrying Capacity: A Case Study of Henan, China

A Three-Stage Hybrid Model for Space-Time Analysis of Water Resources Carrying Capacity: A Case Study of Jilin Province, China

A Four-Dimensional Evaluation of the Urban Comprehensive Carrying Capacity of the Yangtze River Delta, China

Contact Info

Product

Resources

About