scholarly journals A Novel Evaluation algorithm of Urban Comprehensive Carrying Capacity Index System in Northwest China:Lanzhou city as a example

2016 ◽  
Vol 725 ◽  
pp. 012004 ◽  
Author(s):  
Jing Li ◽  
Song Lei ◽  
Ma Ling
2021 ◽  
Vol 13 (23) ◽  
pp. 13383
Author(s):  
Chuqiao Han ◽  
Binbin Lu ◽  
Jianghua Zheng

The rapid development of urbanization, population growth, and unreasonable use of land resources have made the contradiction between human beings and land increasingly prominent, and the carrying capacity of land resources has become an important factor affecting the sustainable development of a city or even a country. Based on the carrying capacity of agricultural land, construction land, and ecological land in 31 provinces of China, this paper analyzed the spatiotemporal characteristics of the carrying capacity of land resources in 31 provinces of China from 2008 to 2016 by using single-factor carrying capacity evaluation and comprehensive carrying capacity evaluation methods. The evaluation results were divided into six levels (No pressure, Lower pressure, Low pressure, Medium pressure, High pressure, Higher pressure), and the ArcGIS10.2 software was used for visualization, and the carrying capacity prediction model was constructed to predict the development trend of the comprehensive carrying capacity of land resources in 2020 and 2025. The results showed that China’s land carrying capacity is extremely unbalanced. Whether from the evaluation results of single-factor carrying capacity or comprehensive carrying capacity, we showed the characteristics of high pressure in the east and low pressure in the west, and that the regional land resources have a deteriorating trend. Through the prediction of the future land resource carrying capacity index, it was found that the comprehensive carrying capacity index of land resources in 31 provinces of China will still show an upward trend in the future.


2020 ◽  
pp. 1-12
Author(s):  
Zhou Jiang ◽  
Zhenwu Wei

Grassland resources are an important part of land resources. Moreover, it has the functions of regulating the climate, windproof and sand fixation, conserving water sources, maintaining water and soil, raising livestock, providing food, purifying the air, and beautifying the environment in terrestrial ecosystems. Grassland resource evaluation is of great significance to the sustainable development of grassland resources. Therefore, this paper improves the BP neural network, uses the comprehensive index method to calculate the weights in the analytic hierarchy process, and constructs a water resources carrying capacity research and analysis system based on the entropy weight extension decision theory. Meanwhile, this paper analyzes different levels of resource and environmental carrying capacity to achieve the purpose of comprehensive evaluation of resource and environmental carrying capacity. In addition, based on the theory of sustainable development, under the guidance of the principle of index system construction, this paper studies the actual situation of grassland resources and the availability and operability of data, and combines with the opinions given by experts to form an evaluation index system of grassland resources and environmental carrying capacity. Finally, through the actual case study analysis, it is concluded that the model constructed in this paper has a certain effect.


2016 ◽  
Vol 24 (1) ◽  
pp. 151-166
Author(s):  
Hong Zhang ◽  
Xu Sun ◽  
Yang Zhang ◽  
Michael J. Seiler

2012 ◽  
Vol 616-618 ◽  
pp. 1388-1393
Author(s):  
Hong Jun Lei ◽  
Lina Yin ◽  
Bei Dou Xi

Rapid social-economic development and the ever-increasing water pollutant discharge of Wuliangsuhai lake basin made the water quality deteriorated; the lake eutrophication intensified and heavily restricted the sustainable development of the watershed’s social economy. Wuliangsuhai lake basin was selected as the study area. By the use of system dynamics simulation model the water environment and social economy were connected, and three kinds of improved scenarios (resource-environment constrained type, social economy constrained type, coordinated development type) were proposed based on the inertial and planning schemes. Ten indexes of water environment carrying capacity, i.e. the GDP per capita, ratio of industrial output to GDP, et al., were selected, and fuzzy comprehensive evaluation method was used. Results showed that, the water environmental capacity utilization ratios of COD and TN in the resource-environment constrained scenario were 69.5% and 57.9% in 2020, respectively. And the water environment carrying capacity index increased from 0.19 in 2008 to 0.31 in 2020. Under the coordinated development scenario, the surplus environmental capacity of COD and TN were 1755.46t/a, 260.21t/a respectively, and the water environment carrying capacity index was up to 0.29 in 2020. The sustainable development plan was proposed and some feasible suggestions and strategies were put forward.


Author(s):  
Sheng Ye ◽  
Chao Wei ◽  
Zhanqi Wang ◽  
Han Wang ◽  
Ji Chai

With the rapid urbanization in recent decades, resource shortage and environmental damage have hindered the process of urban sustainable development (SD). As a yardstick of sustainable development, the evaluation of resources and environment carrying capacity (RECC) and its decoupling relationship with social comprehensive development index (SCDI) are of great significance. In this paper, RECC and SCDI are taken as research objects to establish resource and environment system evaluation index system and social comprehensive development level evaluation index system, respectively. Then, the RECC and SCDI of 17 cities in Hubei province during 2009–2018 are calculated by the projection pursuit model based on genetic algorithm, and their spatial-temporal variance characteristics are analyzed. On this basis, the RECC-SCDI Tapio decoupling model is constructed to explore the decoupling relationship between RECC and SCDI. The result shows that: (1) The RECC of Hubei shows a V-shaped development trend during 2009–2018. The SCDI of Hubei rose steadily during 2009–2018. (2) RECC in western and eastern Hubei Province is higher than that in central Hubei Province. SCDI in eastern and central Hubei Province is higher than that in the west. (3) 11 of the 17 cities in Hubei Province have got rid of excessive dependence on resources environment for social development. The study could contribute to scientific and effective policies be formulated by government to promote urban sustainable development.


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