scholarly journals Application of SD model in Analyzing the Cultivated Land Carrying Capacity: A Case Study in Bijie Prefecture, Guizho Province, China

2011 ◽  
Vol 10 ◽  
pp. 1985-1991 ◽  
Author(s):  
Renwei He ◽  
Shaoquan Liu ◽  
Yunwei Liu
Keyword(s):  
Carrying Capacity ◽  
Cultivated Land ◽  
Land Carrying Capacity ◽  
Sd Model

scholarly journals Evaluating Urban Land Carrying Capacity Based on the Ecological Sensitivity Analysis: A Case Study in Hangzhou, China

2017 ◽  
Vol 9 (6) ◽  
pp. 529 ◽  
Author(s):  
Jinyeu Tsou ◽  
Yanfei Gao ◽  
Yuanzhi Zhang ◽  
Sun Genyun ◽  
Jinchang Ren ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Carrying Capacity ◽  
Urban Land ◽  
Ecological Sensitivity ◽  
Land Carrying Capacity

scholarly journals Space Adequacy Analysis Based on Population Pressure National park Area (Case Study : Putri Betung Sub District, Gayo Lues, Aceh)

2021 ◽  
Vol 10 (2) ◽  
pp. 64-73
Author(s):  
Munar Muhardian ◽  
Muhammad Rusdi ◽  
Abubakar Karim
Keyword(s):  
Carrying Capacity ◽  
National Park ◽  
Field Survey ◽  
Population Pressure ◽  
Capacity Limits ◽  
Pressure Index ◽  
Land Carrying Capacity ◽  
The Government ◽  
Park Area

The land requirement for Putri Betung Sub District in Gunung Leuser National Park (GLNP) area kept increasing along with the population growth. The population density in the Putri Betung Sub-district was driven by the need for cultivation and residential area along the GLNP conservation boundary. This study aims to analyze the space adequacy for Putri Betung Sub-District in the GLNP area based on the population pressure prediction for 20 years. The research method was conducted by field survey using remote sensing, interviewed the residents, and analyzed the population pressure index using the Soemarwoto formula. The Population Pressure Index (PPI) for the cultivation area was determined from 13 villages in Putri Betung Subdistrict and shows that 12 villages had a PPI 1 value (population pressure was over the land carrying capacity limits). Only one village had PPI 1 (population pressure less than the land carrying capacity. Based on data surveys obtained, the cultivation area set in the Putri Betung area was no longer sufficient for population, resulting from the expansion in the GLNP area of 4,776.97 ha. Meanwhile, predictive analysis on space adequacy for people living decently in Putri Betung Sub District for 20 upcoming years is 6117.15 ha. In conclusion, 12 out of 13 villages in the Putri Betung SubDistrict have PPI 1 value, which is inversely proportional to the land carrying capacity. The PPI values could result in other pressures on the ecology and biodiversity conservation in National Park. It is suggested that the government need to surpass the pressure by making new policy on people’s resettlement, expanding the cultivation area, or shifting people's livelihoods

scholarly journals Exploring the Spatial Pattern and Influencing Factors of Land Carrying Capacity in Wuhan

2019 ◽  
Vol 11 (10) ◽  
pp. 2786 ◽  
Author(s):  
Nana Yang ◽  
Jiansong Li ◽  
Binbin Lu ◽  
Minghai Luo ◽  
Linze Li
Keyword(s):  
Influencing Factors ◽  
Carrying Capacity ◽  
Influencing Factor ◽  
Correlation Coefficients ◽  
Land Resource ◽  
Data Sets ◽  
Multiple Data ◽  
Source Data ◽  
Land Carrying Capacity

Land carrying capacity is an important factor for urban sustainable development. It provides essential insights into land resource allocation and management. In this article, we propose a framework to evaluate land carrying capacity with multiple data sources from the first geographical census and socioeconomic statistics. In particular, an index, Land Resource Pressure (LRP), is proposed to evaluate the land carrying capacity, and a case study was carried out in Wuhan. The LRP of Wuhan was calculated on 250 m * 250 m grids, and showed a circularly declining pattern from central to outer areas. We collected its influencing factors in terms of nature resources, economy, transportation and urban construction, and then analyzed its causes via geographically weighted (GW) models. Firstly, pair-wise correlations between LRP and each influencing factor were explored via the GW correlation coefficients. These local estimates provide an important precursor for the following quantitative analysis via the GW regression (GWR) technique. The GWR coefficient estimates interpret the influences on LRP in a localized view. Results show that per capita gross domestic product (PerGDP) showed a higher absolute estimate among all factors, which proves that PerGDP has a relieving effect on LRP, especially in the southwestern areas. Overall, this study provides a technical framework to evaluate land carrying capacity with multi-source data sets and explore its localized influences via GW models, which could provide practical guidance for similar studies in other cities.

scholarly journals A System Dynamics Prediction Model of Airport Environmental Carrying Capacity: Airport Development Mode Planning and Case Study

Aerospace ◽  
2021 ◽  
Vol 8 (12) ◽  
pp. 397
Author(s):  
Qiuping Peng ◽  
Lili Wan ◽  
Tianci Zhang ◽  
Zhan Wang ◽  
Yong Tian
Keyword(s):  
System Dynamics ◽  
Carrying Capacity ◽  
Model Simulation ◽  
Prediction Method ◽  
Policy Formulation ◽  
Necessary Condition ◽  
Development Mode ◽  
Environmental Carrying Capacity ◽  
Sd Model

Airport environmental carrying capacity (AECC) provides the fundamental conditions for airport development and operation activities. The prediction of AECC is a necessary condition for planning an appropriate development mode for the airport. This paper studies the dynamic prediction method of the AECC to explore the development characteristics of AECC in different airports. Based on the driving force-pressure-state-response (DPSR) framework, the method selects 17 main variables from economic, social, environmental and operational dimensions, and then combines the drawing of causal loop diagrams and the establishment of system flow diagrams to construct the system dynamics (SD) model of AECC. The predicted values of AECC are obtained through SD model simulation and accelerated genetic algorithm projection pursuit (AGA-PP) model calculation. Considering sustainable development needs, different scenarios are set to analyze the appropriate development mode of the airport. The case study of the Pearl River Delta airports resulted in two main conclusions. First, in the same economic zone, different airports with similar aircraft movements have similar development characteristics of AECC. Second, the appropriate development modes for different airports are different, and the appropriate development modes for the airport in different periods are also different. The case study also proves that the AECC prediction based on SD model and AGA-PP model can realize short-term policy formulation and long-term planning for the airport development mode, and provide decision-making support for relevant departments of airport.

scholarly journals Study on Relative Carrying Capacity of Land Resources and Its Zoning in 31 Provinces of China

2021 ◽  
Vol 13 (3) ◽  
pp. 1459
Author(s):  
Wei Zhou ◽  
Ayman Elshkaki ◽  
Shuai Zhong ◽  
Lei Shen
Keyword(s):  
Sustainable Development ◽  
Carrying Capacity ◽  
Coastal Region ◽  
Land Resources ◽  
Parameter Setting ◽  
Single Factor ◽  
Important Indicator ◽  
The Sustainable Development ◽  
Land Carrying Capacity ◽  
Human And Nature

Land carrying capacity is an important indicator to quantitatively assess and judge the extents of sustainable economic developing and coexistent harmonizing between human and nature. The significance of land carrying capacity has been highlighted recently by the Sustainable Development Goals (SDGs) of the United Nations, which set clear requirements for arable, construction, and ecological lands. Theories and models of land carrying capacity, however, are suffering from the interference of artificial parameter setting and poor applicability. This paper attempts to overcome these limitations and propose a single factor assessment of the carrying capacity of cultivated land, construction land, and ecological land in terms of the relative carrying capacity from the perspective of a single factor assessment. Through mutual comparison, we found that the deviation caused by simulated parameter setting has been eliminated, and the relative status of each province and/or region in China has been obtained, which could provide a reference for the management and utilization of land resources. We argue that China can achieve basic self-sufficiency in both space capacity and food production without placing pressure on the global sustainable development. The results also indicate that carrying capacity state of the advanced development areas such as the eastern coastal region is relatively poor, while the carrying capacity state of the western region is relatively good.

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