Evaluation Of Environmental Carrying Capacity Research Articles

Research on Tourism Environment Carrying Capacity Evaluation of Tourism Demonstration Area Based on Objective Optimization Method in the Perspective of Territorial Tourism

Abstract Based on the analysis of the influence of core subjects on the carrying capacity of the tourism environment, this paper constructs the “PSR” mechanism and builds the urban tourism environmental carrying capacity index system from three perspectives of natural, economic and social components of the tourism environmental system. The article researches the tourism environmental carrying capacity from three perspectives: economic benefit, social benefit, and environmental benefit, and constructs the objective function from three perspectives: maximizing the average tourism economic income, minimizing the emission of pollutants, and maximizing the number of accommodated subjects. Taking the state of the tourism environmental carrying capacity index as the constraint, the multi-objective optimization model of tourism environmental carrying capacity is constructed, and the optimization model is simulated and solved with the help of NSGA-II to provide a reference for the choice of decision-makers scheme. According to the evaluation of the tourism environment carrying capacity by the formula, the tourism environment carrying capacity coefficient increased from 0.1118 in 2012 to 0.8434 in 2021. The natural tourism environment carrying capacity coefficient increased from 0.2686 to 0.7893, the economic tourism environment carrying capacity coefficient increased from 0.064 to 0.8183, and the social tourism environment carrying capacity coefficient increased from 0.0925 to 0.9248. The evaluation and optimization of tourism environment carrying capacity conducted in this paper are of practical research value for guiding the sustainable development of tourism destinations.

Evaluation of environmental carrying capacity based on land capability for agriculture development in the Melolo Transmigration Area, East Sumba

One way to do equitable development is to grow activity centers in an area. Transmigration is one of the government programs implemented to foster new activity centers in less developed areas. At present, Development Area Unit B of the Melolo Transmigration Area is a development priority to grow the area in the central part of East Sumba. The construction of transmigration settlements has been carried out since 2010 for settlement and agriculture, so it is necessary to evaluate the environmental carrying capacity to determine the suitability of land cover and land use to land capability. The method used is to compare land capability with land cover and land use and then assess its suitability. Based on the results of the analysis it is known that land capability in Development Area Unit B Melolo Transmigration Area is divided into four land capability classes, namely land capability classes I, II, III, and IV. Comparison of land capability with land cover and land use are included in the suitable criteria of 72.60 %, conditionally suitable at 23.11 %, and not suitable at 4.30 %. These results indicate that the environmental carrying capacity has not exceeded the threshold and requires conservation measures for agricultural development.

Assessment of the Carrying Capacity and Suitability of Spatial Resources and the Environment and Diagnosis of Obstacle Factors in the Yellow River Basin.

The assessment of the carrying capacity and suitability of spatial resources and the environment can provide effective guidance for regional planning and make vital contributions to the high-quality advancement of society and the economy. Additionally, this scientific evaluation of the spatial carrying capacity and suitability of urban production-living-ecological space (PLES) has important scientific value as well as practical significance for territorial spatial planning. This paper takes the cities along the Yellow River Basin (YRB) as the research object; establishes the PLES resource and environment carrying capacity evaluation index system; uses the multi-indicator superposition method and entropy weight method to evaluate the ecological importance, production and life carrying capacity of 78 cities in the YRB from 2010 to 2020; obtains the final ecological importance, production and life suitability levels based on the carrying capacity combined with the location conditions; and uses exploratory spatial data analysis (ESDA), the barrier degree model and other methods to determine the cities' spatial and temporal patterns and influencing factors. The findings indicate that: (1) Ecological importance is characterized by "high upstream and low downstream"; the suitability for production is higher mainly in the eastern coastal area; the suitability of life as a whole is increasing, and the higher grade is in some provincial capitals and surrounding cities. (2) The local Moran's I all passed the test, and the relationship between PLES showed a significant positive spatial correlation. The clustering characteristics of ecological importance and production suitability are strong, while the clustering characteristics of suitability for living functions are relatively weak. (3) Biodiversity, significance of water conservation and significance of wind and grit control functions are the main barrier factors affecting the ecological importance of the YRB; industrial value-added output per unit of industrial land, number of industrial enterprises above the scale and GDP per capita are the dominant factors affecting the production suitability of the study area; total water-resource utilization per capita, total sewage treatment per capita and residential land area per capita are the main barrier factors of living suitability.

Study on the Evaluation of the Carrying Capacity of Marine Resources and Environment in Weihai City in China

This paper establishes a marine resources and environment carrying capacity evaluation index system from the socio-economic system, marine resources system and marine environment system for the development of marine economy of Weihai in China, adopts the entropy weight TOPSIS model to quantitatively analyze the marine resources and environment carrying capacity of Weihai from 2011 to 2020, and uses the changes in these ten years as an entry point to analyze the problems in the development of marine resources, environmental protection and sustainable economic development in Weihai in a targeted manner. The model is used as a starting point to analyse the problems in the development of marine resources, environmental protection and sustainable economic development in Weihai, and to propose timely countermeasures and suggestions in the areas of laws and regulations, development and construction, and industrial transformation.

Evaluation of environmental carrying capacity in Xiong’an New Area based on fuzzy comprehensive evaluation method

Through analysis of environmental status of Xiong’an New Area, from three dimensions of water environment, atmospheric environment and geological environment, evaluation index system of environmental carrying capacity of the New Area is preliminarily designed. By using correlation analysis and principal component analysis, 11 basic indexes, including Industrial waste water discharge per 10000 yuan GDP, Comprehensive index of air quality and Average groundwater depth etc., are selected to construct the evaluation index system of environmental carrying capacity of Xiong’an New Area. Based on the fuzzy comprehensive evaluation method, the environmental carrying capacity of the New Area from 2014 to 2018 are evaluated, which provides the basis for protection and utilization of water environment, atmospheric environment and geological environment. The results show that: environmental carrying capacity of the New Area from 2014 to 2018 is 0.2186, 0.2109, 0.2153, 0.2415 and 0.2690 respectively, showing a steady growth trend, mainly as the environmental control of water and atmosphere have been strengthened after 2017.

Fishery Resources, Ecological Environment Carrying Capacity Evaluation and Coupling Coordination Analysis: The Case of the Dachen Islands, East China Sea

Impacts of human activity on the sustainable development of marine fisheries have been greatly concerned, and the carrying capacity with theoretic and practical meanings has become a focused area over the past two decades. More importantly, there are few studies on the fishery resources and environment compound system. In this study, based on the investigation data in Dachen Islands during 2019–2021, we proposed the evaluation method of fishery resources and ecological environment carrying capacity (FRCC & MEECC) and analyzed the coupling coordination degree between the fishery resources and environment. The results showed that (1) the MEECC of Dachen Islands was in the critical overload state and fluctuated significantly among seasons and the winter voyage of 2021 was the worst. (2) The nekton index of Dachen Islands was basically stable, the fish eggs and juvenile index dropped markedly, and the FRCC was also critically overloaded. (3) The fishery resources and marine environment were moderately balanced. Further, the development was relatively synchronized in autumn of 2019 and 2020, while the fishery resources in spring of 2021 lagged behind the marine environment.

Integrated Evaluations of Resource and Environment Carrying Capacity of the Huaihe River Ecological and Economic Belt in China

The evaluations of resource and environment carrying capacity and territorial development suitability, also referred to as “double evaluations”, have been taken by China as an important direction in territorial space planning. Based on the evaluation of resource and environment carrying capacity, the double evaluations can contribute to protecting ecological safety and territorial safety and promoting regional sustainable development. The focus of this study was to integratedly evaluate the resource and environment carrying capacity of the Huaihe River Ecological and Economic Belt. First, the overall weights of the factors at the dimension level and the index level in the established integration evaluation system were calculated with the fuzzy analytical hierarchy process (FAHP) method; and then, using the linear weighted function, the overall resource and environment carrying capacities of 25 cities in the belt were calculated. On that basis, the resource and environment carrying capacity evaluation model was established. Through model analysis, this study comprehensively investigated the resource and environment carrying capacity of the Huaihe River Eco-economic Belt and provided a foundation for the future territorial space planning and layout of the Huaihe River Eco-economic Belt.

Evaluation on geological environment carrying capacity of mining city – A case study in Huangshi City, Hubei Province, China

With the accelerated urbanization and increasingly intense human activities, geological environment degradation has become a key factor hindering the development of green cities. Understanding the current status of the regional geological environment can help us to propose effective means of geological environment controls and scientifically guide regional development planning. In this work, we take Huangshi City in Hubei Province as the study area and constructs a geological environment carrying capacity (GECC) evaluation system based on a total of 17 evaluation indicators from geological, ecological and social environments. Then we use the cloud model to improve analytic hierarchy process (AHP) for multiple experts to make decisions, and select the fuzzy affiliation function to quantify each index, finally the GIS spatial analysis is used to make a comprehensive geological environment carrying capacity evaluation of Huangshi. The results show that: The overall state of Huangshi's GECC is good, the area with bad GECC is concentrated in the northeastern and central parts of the study area where there are mining and geohazards. We analyzed the shortcomings of each county and found that the limiting factors are different at county scale. By analyzing the regression relationship between the carrying capacity results and various factors, we concluded that geohazards and mining are the driving factors for the current state of carrying capacity. Therefore, we propose an efficient approach to dynamic mineral monitoring base on Google Earth Engine (GEE) and corresponding development suggestions. These results can provide support for protecting geo-environment and regional development.

Fishery Resources, Ecological Environment Carrying Capacity Evaluation and Coupling Coordination Analysis: The Case of Dachen Islands, the East China Sea

Fishery Resources, Ecological Environment Carrying Capacity Evaluation and Coupling Coordination Analysis: The Case of Dachen Islands, the East China Sea

Water Environment Carrying Capacity Evaluation by Cloud Theory in Beijing

Water Environment Carrying Capacity Evaluation by Cloud Theory in Beijing

Analysis of Spatial and Temporal Variations of Vegetation Index in Liaodong Bay in the last 30 years based on the GEE Platform

In order to determine the space-time characteristics of vegetation growing, aiming at the problems of poor efficiency in remote sensing information extraction of traditional methods, based on the Google Earth Engine (GEE) platform, NDVI data was extracted using Landsat image in the growing season from 1990 to 2019, and the space-time characteristics of vegetation were discussed with unitary linearity regression. The results showed that, 1) Taking 2010 as the turning point, NDVI of surface vegetation in Liaodong Bay showed a trend of first increase, then decrease and then increase during the past 30 years. The total area of vegetation cover have less change, while the proportion of medium-high coverage (0.6<NDVI<0.8) and high coverage (0.8<NDVI<1) increased significantly, 2) The spatial distribution of NDVI in Liaodong Bay have obvious differences, which shows a trend of gradual decrease from the Liaohe estuary delta to both sides. Affected by the development of coastal resources, NDVI increased firstly and then decreased from land to sea. In conclusion, the space-time change of NDVI in Liaodong Bay is affected by human development activities and ecological restoration. As an important quantitative factor, NDVI can provide basic data for the evaluation of environmental carrying capacity and ecological restoration.

Evaluation of environment carrying capacity as a coastal tourism using GIS in Sepanjang Beach, Indonesia

The rapid pace of population growth in coastal areas and increasing the need for natural tourism can have a negative impact on the quality and quantity of natural resources and the environment in Sepanjang Beach, Gunungkidul regency. The phenomenon of seawater tidal waves led to a number of buildings along the beach experiencing heavy damage. The purpose of this research is to know the environment carrying capacity seen from the aspect of land capability and land suitability aspects as a tourist area, as well as providing recommendations that are right on Sepanjang Beach. The methods used are spatial analysis methods using geographic information systems (GIS) and scoring methods to determine the environment carrying capacity and land suitability. The results of the calculation of the environment carrying capacity based on the aspect of land capability were obtained by 2 classes of land capability namely moderate and good. Whereas seen from the results of the suitability of the beach recreation category shows if Tourism Suitability Index (TSI) has a value of 94% which means it is appropriate. However, it is necessary to arrange the gazebo building to use upland land in the form of alluvial karst plain.

Comprehensive Evaluation of Geological Environment Carrying Capacity for Lintong District, Xi’an

Geological environment carrying capacity is one of the standards that judges the human activities and geological environment whether or not compatible. Carrying out geological environment carrying capacity evaluation and adjusting human activity intensity is the key to achieve sustainable development of regional economy. Based on the variation coefficient method, the paper used the comprehensive evaluation model to evaluate the geological environment carrying capacity of Lintong district, Xi’an. The results show that the carrying capacity of 4 sub-districts excellent, 7 sub-districts is good, 8 sub-districts is medium, and 4 sub-districts is poor. The results can provide references for the development of study area, and achieve the goals of making full use of land resources, regulating the geological environment changing trend and reducing disasters.

Risk-based evaluation on geological environment carrying capacity of mountain city - A case study in Suide County, Shaanxi Province, China

With the rapid development and expansion of the cities in China, the carrying capacity of resource and environment has become a huge concern for local governments. From the perspective of geological environment, geological disasters are the main restraining factor of the development in mountain cities. This study was conducted in Suide County of Shaanxi Province with a risk-based approach as followed: a hazard analysis on geological disasters based on a slope geological survey at a scale of 1:10,000; a consequence analysis based on unmanned aerial vehicle (UAV) aerial survey data; integrating the results of hazard analysis and consequence analysis, a risk zonation and analysis of geological disasters in urban areas were completed considering urban planning, land use planning and the safety of infrastructure and major engineering. Subsequently, taking the acceptable levels of human life and property risks incurred by landslides as the criteria of the evaluation of geological environment carrying capacity, a comprehensive assessment of current and future urban carrying capacity was conducted based on the results of the risk analyses. Accordingly, the prior development zone, the restricted development zone and the prohibited zone were delineated, with corresponding suggestions for future urban development. The technological and methodological system used in the study can be applied to geological environment carrying capacity evaluation of other important mountain cities, which can provide scientific basis for the optimization of land and space.

Study on evaluation of environmental carrying capacity of pig breeding in Central China

China’s central six provinces are located in the hinterland of the mainland of China and play an increasingly important role in the process of China’s economic and social development. This paper uses the 2016 statistical yearbook data to synthesize the environmental carrying capacity of six provinces in central China Evaluation. The results show that Shanxi Province has the highest environmental pollution carrying index, followed by Jiangxi Province, Anhui Province, Hunan Province and Hubei Province. Henan Province is with the lowest index, which shows that the carrying capacity of pig breeding in Shanxi outpaces the other provinces. And Henan Province owns the weakest carrying capacity.

Environment Carrying Capacity Evaluation of Coal Mining in Shanxi Province

China will meet an increasing demand of the energy because of the growth of the economy, coal is being mined largely as the most important energy, but the mining brought in a series of construction of ecological environment problems. This paper established a comprehensive evaluation model for environmental impact of coal mining through three aspects of ecological stability, resource and environment carrying capacity, coal mining pressure with analytic hierarchy process (AHP). Based on this model, authors have evaluated the regional difference of ecological environment carrying capacity of coal mining areas in Shanxi province. The study results may be helpful to scientifically draw up the coal resources development strategy.