Research on comprehensive carrying capacity assessment method with data-driven neural network

2012 ◽  
Author(s):  
Qi Si ◽  
Mingchang Li ◽  
Guangyu Zhang ◽  
Shuxiu Liang ◽  
Zhaochen Sun
Keyword(s):  
Neural Network ◽  
Carrying Capacity ◽  
Assessment Method ◽  
Data Driven ◽  
Capacity Assessment ◽  
Comprehensive Carrying Capacity

Predictive Comprehensive Carrying Capacity Assessment for Marine Reclamation with Hydrodynamics, Ecology and Sediment

2014 ◽  
Vol 522-524 ◽  
pp. 774-777
Author(s):  
Ming Chang Li ◽  
Qi Si ◽  
Guang Lou Li ◽  
Ying Wang
Keyword(s):  
Carrying Capacity ◽  
Water Exchange ◽  
Assessment Method ◽  
Assessment Model ◽  
Capacity Assessment ◽  
Systematic Method ◽  
Research Results ◽  
Pair Coupling ◽  
Comprehensive Carrying Capacity

In this paper, a systematic method is used to evaluate the comprehensive carrying capacity of marine reclamation with the predictive data of hydrodynamics, ecology and sediment. The predictive data are obtained by the numerical simulated results of hydrodynamics, water exchange, ecological loss and sediment. These data are coupled and input into a nonlinear set pair coupling assessment model for the predictive comprehensive carrying capacity assessment of marine reclamation. This method is calibrated by case study of Longqi Bay in Jinzhou China. This research results show that the predictive comprehensive carrying capacity assessment method is essential for guiding the marine reclamation.

scholarly journals Carrying capacity analysis of nature tourism at Selabintana, Gunung Gede Pangrango National Park, West Java

2021 ◽  
Vol 2 (2) ◽  
pp. 113-117
Author(s):  
Andriyatno Sofiyudin ◽  
Rosadi Rosadi ◽  
Dolly Priatna
Keyword(s):  
Carrying Capacity ◽  
National Park ◽  
Assessment Method ◽  
Capacity Assessment ◽  
Capacity Analysis ◽  
Conservation Areas ◽  
West Java ◽  
Nature Tourism ◽  
Management Area ◽  
Park Area

Selabintana management area is one of the nature tourism areas in the Gunung Gede Pangrango National Park (GGPNP) which located in Sukabumi District, West Java. Within the management area which covers 2,547.93 ha, there is a camping ground and waterfall which both are the most attracted for visitors. Efforts are needed to harmonize nature tourism activities with conservation mission, so that visitors can enjoy but the natural environment is maintained. The objective of this research is to determine the carrying capacity for daily tourism and camping activities by considering the aspect of physical, environmental and management aspects. The survey conducted through interviews and questionnaires to 62 tourists, traders and managers of the national park area. The data were analyzed using the carrying capacity assessment method developed by Cifuentes, i.e. calculating the Physical Carrying Capacity (PCC), Real Carrying Capacity (RCC), and Effective Carrying Capacity (ECC). As a result, EEC for daily tourism is 84 visitors/day  (PCC RCC ECC with a score of 3,269 98 84), while EEC for camping is 60 visitors/day (PCC RCC with a score of 2,155 69 60). Thus, carrying capacity of nature tourism activities in conservation areas can be calculated based on physical carrying capacity, real carrying capacity, and effective carrying capacity.Kawasan pengelolaan Selabintana merupakan salah satu areal wisata alam yang ada di Taman Nasional Gunung Gede Pangrango (TNGGP) yang terletak di Kabupaten Sukabumi, Jawa Barat. Di dalam areal pengelolaan yang luasnya 2.547,93 ha terdapat camping ground dan air terjun yang merupakan daya tarik utama yang bagi para pengunjung.  Diperlukan adanya upaya untuk menyelarasakan kegiatan wisata alam dengan misi konservasi, agar pengunjung  dapat menikmati  namun lingkungan alam tetap terjaga. Tujuan dari penelitian ini adalah menentukan carrying capacity untuk kegiatan wisata harian dan berkemah dengan mempertimbangkan aspek fisik, lingkungan dan manajemen. Survey dilakukan melalui interview dan kuisioner terhadap 62 wisatawan, pedagang dan pengelola kawasan taman nasional. Data dianalisis dengan metode penilaian carrying capacity yang dikembangkan oleh Cifuentes, yaitu menghitung Daya Dukung Fisik (PCC), Daya Dukung Ril (RCC), serta Daya Dukung Efektif (ECC). Sebagai hasil, EEC untuk wisata harian adalah 84 pengunjung/hari (PCC RCC ECC dengan skor 3.269 98 84), sedangkan EEC untuk berkemah adalah 60 pengunjung/hari (PCC RCC dengan skor 2.155 69 60). Jadi, carrying capacity dalam kegiatan wisata alam di dalam kawasan konservasi dapat ditentukan berdasarkan daya dukung fisik, daya dukung riil, dan daya dukung efektif.

Comprehensive Carrying Capacity Assessment of Water Environment in Zhengzhou City

2013 ◽  
Vol 368-370 ◽  
pp. 390-395 ◽  
Author(s):  
You Xia ◽  
Chuan Ming Ma ◽  
Xiao Juan Liu ◽  
Xing Yi Liu ◽  
Qiong Lin Deng
Keyword(s):  
Surface Water ◽  
Carrying Capacity ◽  
Groundwater Pollution ◽  
Water Environment ◽  
Policy Formulation ◽  
Weight System ◽  
Capacity Assessment ◽  
Environmental Capacity ◽  
Surface Water And Groundwater ◽  
Comprehensive Carrying Capacity

At present, research on water environmental carrying capacity (WECC) at home and abroad mainly focuses on surface water carrying capacity and ignores groundwater pollution receiving capacity,which leads to the research results cannot objectively reflect the actual situation. This paper treated both surface water and groundwater as a whole research object; used analytic hierarchy process (AHP); selected surface water environmental capacity and groundwater pollution receiving capacity as the first level indicators; built the scoring system and weight system; and accomplished comprehensive carrying capacity assessment of water environment in Zhengzhou city. Assessment result shows that very low WECC zone reduces by 5.1 times, low WECC zone reduces by 1.1 times, medium WECC zone increases by 2.6 times, and very high WECC zone increases by 1.5 times compared with the result which considers surface water only. Therefore, treating both surface water and groundwater as a whole to evaluate the WECC is more in line with objective reality. It is also conducive to water environmental protection policy formulation.

No-Reference Image Quality Assessment Based on Multi-Order Gradients Statistics

2020 ◽  
Vol 64 (1) ◽  
pp. 10505-1-10505-16
Author(s):  
Yin Zhang ◽  
Xuehan Bai ◽  
Junhua Yan ◽  
Yongqi Xiao ◽  
C. R. Chatwin ◽  
...  
Keyword(s):  
Neural Network ◽  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Assessment Method ◽  
Image Distortion ◽  
Image Feature ◽  
Reference Image ◽  
Gradient Magnitude ◽  
Distortion Type

Abstract A new blind image quality assessment method called No-Reference Image Quality Assessment Based on Multi-Order Gradients Statistics is proposed, which is aimed at solving the problem that the existing no-reference image quality assessment methods cannot determine the type of image distortion and that the quality evaluation has poor robustness for different types of distortion. In this article, an 18-dimensional image feature vector is constructed from gradient magnitude features, relative gradient orientation features, and relative gradient magnitude features over two scales and three orders on the basis of the relationship between multi-order gradient statistics and the type and degree of image distortion. The feature matrix and distortion types of known distorted images are used to train an AdaBoost_BP neural network to determine the image distortion type; the feature matrix and subjective scores of known distorted images are used to train an AdaBoost_BP neural network to determine the image distortion degree. A series of comparative experiments were carried out using Laboratory of Image and Video Engineering (LIVE), LIVE Multiply Distorted Image Quality, Tampere Image, and Optics Remote Sensing Image databases. Experimental results show that the proposed method has high distortion type judgment accuracy and that the quality score shows good subjective consistency and robustness for all types of distortion. The performance of the proposed method is not constricted to a particular database, and the proposed method has high operational efficiency.

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