scholarly journals Comprehensive Utilization Pattern of the Bohai Rim Coastline Using the Restrictive Composite Index Method

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yun Zhang ◽  
Tong Wu ◽  
Yuanzhi Ye
Keyword(s):  
Yellow River ◽  
Composite Index ◽  
Utilization Pattern ◽  
Index Method ◽  
Factors Affecting ◽  
Comprehensive Utilization ◽  
Index Model ◽  
The North ◽  
Ecological Protection ◽  
Bohai Rim

Coastlines play an important role in human activity and economic development. Reasonably allocating shoreline resources and addressing contradictions between ecological protection and development are critical issues. In this study, positive and negative factors affecting the natural, environmental, and socioeconomic status of the coastal zone while considering land and sea effects were comprehensively analyzed using ecological theories and methods, and an improved restrictive composite index model was constructed. We quantitatively analyzed the comprehensive utilization pattern of the Bohai Rim coastline, China, in terms of the coastline utilization type and spatial agglomeration characteristics. The comprehensive utilization pattern of the Bohai Rim coastline is as follows: ecological areas are present in the north and south, and industrial areas are present in the east and west. Industrial production areas along the coastline are mainly distributed in the East Liaodong and Bohai bays, and ecological protection areas are located in the estuaries of the Liaohe and Yellow River. The improved restricted comprehensive index method model weakens the interaction among variables and makes the calculation results closer to the real situation. The results of the comprehensive utilization pattern of Bohai Rim coastline obtained by quantitative evaluation are of great significance for the coordinated development of coastline ecological protection and development and utilization.

scholarly journals Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach

2018 ◽  
Vol 15 (12) ◽  
pp. 2779 ◽  
Author(s):  
Yongyi Cheng ◽  
Liheng Lu ◽  
Tianyuan Shao ◽  
Manhong Shen ◽  
Laiqun Jin
Keyword(s):  
Emission Intensity ◽  
Industrial Wastewater ◽  
Yellow River ◽  
National Level ◽  
Malmquist Index ◽  
Decomposition Analysis ◽  
Policy Implications ◽  
Factors Affecting ◽  
The North ◽  
Factor Substitution

This paper investigated the factors driving the changes in industrial wastewater emission intensity (IWEI) across provinces in China. To do this, we proposed a Super-efficiency Slacks-based Measure-Global Malmquist Index (SSBM-GMI) to decompose the change in IWEI into the effects from efficiency change (ECE), technological change (TCE), capital–wastewater substitution (KWE) and labor–wastewater substitution (LWE). The method was applied to conduct an empirical study using Chinese provincial data from 2003–2015. The main findings include the following: firstly, TCE was the dominant driving force behind the reduction in IWEI with an average annual contribution of −6.4% at the national level, followed by KWE (−5.3%), LWE (−1.8%) and ECE (1.2%). Secondly, significant differences exist in the driving factors behind the reduction in IWEI across regions. The reduction in IWEIs in the Northeast area and the Great Northwest area was mainly driven by productivity growth, while the reduction in IWEIs in the other areas was mainly driven by factor substitution. Thirdly, the shortage of KWE and LWE has impeded IWEI reduction in the Great Northwest area, the Middle Reaches of the Yellow River, the Northeast area and the North area. Finally, some particular policy implications were also recommended for reducing industrial wastewater emission in China.

scholarly journals Analysis and Prediction of Ecosystem Service Values Based on Land Use/Cover Change in the Yiluo River Basin

2021 ◽  
Vol 13 (11) ◽  
pp. 6432
Author(s):  
Jun Hou ◽  
Tianlin Qin ◽  
Shanshan Liu ◽  
Jianwei Wang ◽  
Biqiong Dong ◽  
...  
Keyword(s):  
Land Use ◽  
River Basin ◽  
Ecosystem Service ◽  
Yellow River ◽  
Yellow River Basin ◽  
Factors Affecting ◽  
Ecological Protection ◽  
The Future ◽  
The New Period ◽  
The Yellow River Basin

Ecosystem service values are closely related to land use/cover change, however, the values affected by land use/cover change in the context of climate variability remain unclear. Based on the land use/cover data of 2000, 2010, and 2020 in the Yiluo River Basin, we quantitatively analyzed the impacts of historical land use/cover change on the ecosystem service values. Then the future land use simulation model was applied to predict the land use/cover distribution in 2030 under three Representative Concentration Pathways scenarios, and the influences on ecosystem service values were analyzed further. We found that the total ecosystem service values in the Yiluo River Basin presented a growth from 9217 million dollars (2000) to 9676 million dollars (2020), which attributed to the increase of forestland and water bodies in recent years. By 2030, the total ecosystem service values continued to present an upward trend, while also showing a difference under three scenarios, this discrepancy was mainly caused by different precipitation conditions. With the introduction of the ecological protection and high-quality development of the Yellow River basin in the new period, climate change may be the main factors affecting the ecological field in the future.

Inhibiting Factors of Cost Performance in UAE Construction Projects

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Ahmed Salem Ahmed Marey Alhammadi ◽  
◽  
Aftab Hameed Memon ◽  
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Past Research ◽  
Cost Overrun ◽  
Index Method ◽  
Cost Performance ◽  
Factors Affecting ◽  
Inhibiting Factors ◽  
Critical Problems ◽  
Structured Questionnaire

UAE construction industry frequently faces poor cost performance which commonly known as cost overrun problem. This problem is resulted from several factors and it is important to identify these cost overrun factors in order to avoid and minimize it. Hence, this paper focused on determined the relevancy of factors affecting cost performance in construction projects of UAE. Through a review of past research works conducted globally, 27 factors of cost overrun were listed and used for developing a structured questionnaire. A survey was conducted with 33 practitioners from client, consultant and contractors organizations involved in handling construction projects in UAE. The respondents were requested to state their perception regarding the relevancy of each of the factors that was perceived in context with cost overrun issue using 5-points Likert scale. The responses were analysed using average index method and the results found that all the 27 factors are relevant with construction industry of UAE in causing cost overrun. These factors can be used for further investigation to uncover critical problems of cost overrun.

scholarly journals Influence of the North Branch of the Qingshuigou River on the Lower Reaches of Yellow River Based on Two-dimensional Numerical Model

2021 ◽  
Vol 1885 (2) ◽  
pp. 022043
Author(s):  
Caodong Jiang ◽  
Liangchao Ma ◽  
Dongfeng Li ◽  
Hongwu Zhang ◽  
Zihao Li
Keyword(s):  
Numerical Model ◽  
Yellow River ◽  
Two Dimensional ◽  
The North

scholarly journals Spatio-Temporal Characteristics and Obstacle Factors of the Urban-Rural Integration of China’s Shrinking Cities in the Context of Sustainable Development

2021 ◽  
Vol 13 (8) ◽  
pp. 4203
Author(s):  
Bin Du ◽  
Ying Wang ◽  
Jiaxin He ◽  
Wai Li ◽  
Xiaohong Chen
Keyword(s):  
Sustainable Development ◽  
Economic Efficiency ◽  
Formation Mechanisms ◽  
Shrinking Cities ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Temporal Characteristics ◽  
The North ◽  
Urban Rural ◽  
Spatio Temporal

Based on the fundamental concept of sustainable development, this study empirically analyzes the spatio-temporal characteristics, formation mechanisms and obstacle factors of the urban-rural integration of shrinking cities in China, from 2008 to 2018. The conclusions are as follows: the overall level of the urban-rural integration of shrinking cities in China is low; the internal differences of urban-rural integration are also small, and the changes are slow. Next, the space difference is high in the east and low in the west, high in the south and low in the north. Moreover, differences exist among different levels of urban agglomerations. Urban economic efficiency, urban resources and environment, urban social equity and rural economic efficiency are the main factors affecting the urban-rural integration of shrinking cities in China. Urban and rural economic efficiency are the two most prominent shortcomings that restrict the urban-rural integration of shrinking cities. The spatial resistance mode of each city is more than the two-system resistance; the main resistance of shrinking cities with a higher level of urban-rural integration also comes from the non-economic field. This study expands the research scope that up till now has ignored the discussion of urban-rural issues in the research of shrinking cities at home and abroad, and provides practical guidance for the sustainable development of shrinking cities in China.

The Application of Fuzzy Synthesis Evaluation Method on Assessing Bridge Durability

2012 ◽  
Vol 594-597 ◽  
pp. 1033-1037
Author(s):  
Fei Zheng ◽  
Yu Wang ◽  
Pu Yang Zhang
Keyword(s):  
Evaluation Method ◽  
Concrete Bridges ◽  
Service Performance ◽  
Fuzzy Mathematics ◽  
Factors Affecting ◽  
Index Model ◽  
Design Requirements ◽  
The Difference ◽  
Fuzzy Synthesis Evaluation ◽  
Durability Of Concrete

Assessment of the structure durability of concrete bridge in service is crucial for determining whether their service performance is meeting the design requirements or not. In this paper we classify the whole structure of bridge into two levels, i.e.bridge structure and bridge components. A two-level-multi-index model for evaluating the durability of concrete bridges in service is established based on the dependent functions of various factors, in which the dependent functions are chosen in accordance with the difference of various factors affecting the deterioration of durability of components. In this model, the durability of the bridge is divided into five different fuzzy levels: intact, disrepaired, damaged, severely damaged, and dangerous. Finally, based on fuzzy mathematics theory, the durability level of a bridge in practice is evaluated by using the maximum subordination principle.

Application of a GIS-based DRASTIC model and groundwater quality index method for evaluation of groundwater vulnerability: a case study, Sefid-Dasht

2015 ◽  
Vol 15 (4) ◽  
pp. 784-792 ◽  
Author(s):  
Nastaran Khodabakhshi ◽  
Gholamreza Asadollahfardi ◽  
Nima Heidarzadeh
Keyword(s):  
Groundwater Quality ◽  
Quality Index ◽  
Major Ions ◽  
Groundwater Vulnerability ◽  
Vulnerability Index ◽  
Aquifer Vulnerability ◽  
Index Method ◽  
Drastic Model ◽  
Groundwater Quality Index ◽  
The North

Pollution control and removal of pollutants from groundwater are a challenging and expensive task. The aims of this paper are to determine the aquifer vulnerability of Sefid-Dasht, in Chaharmahal and Bakhtiari province, Iran, using the DRASTIC model. In addition, the groundwater quality index (GQI) technique was applied to assess the groundwater quality and study the spatial variability of major ion concentrations using a geographic information system (GIS). The vulnerability index ranged from 65 to 132, classified into two classes: low and moderate vulnerability. In the southern part of the aquifer, the vulnerability was moderate. Furthermore, the results indicate that the magnitude of the GQI index varies from 92% to 95%. This means the water has a suitable quality. However, from the north to the south and southwest of the aquifer, the water quality has been deteriorating, and the highest concentration of major ions was found in the southwest of the Sefid-Dasht aquifer. A comparison of the vulnerability maps with the GQI index map indicated a poor relation between them. In the DRASTIC method, movement of groundwater is not considered and may be the reason for such inconsistency. However, the movement of groundwater can transport contaminants.

scholarly journals Temporal and Spatial Heterogeneity of PM2.5 Related to Meteorological and Socioeconomic Factors across China during 2000–2018

2022 ◽  
Vol 19 (2) ◽  
pp. 707
Author(s):  
Xiangxue Zhang ◽  
Changxiu Cheng
Keyword(s):  
Socioeconomic Factors ◽  
Southern China ◽  
Yangtze River Delta ◽  
Socioeconomic Factor ◽  
Factors Affecting ◽  
The North ◽  
The Status ◽  
Risk Areas ◽  
Future Direction ◽  
Q Values

In recent years, air pollution caused by PM2.5 in China has become increasingly severe. This study applied a Bayesian space–time hierarchy model to reveal the spatiotemporal heterogeneity of the PM2.5 concentrations in China. In addition, the relationship between meteorological and socioeconomic factors and their interaction with PM2.5 during 2000–2018 was investigated based on the GeoDetector model. Results suggested that the concentration of PM2.5 across China first increased and then decreased between 2000 and 2018. Geographically, the North China Plain and the Yangtze River Delta were high PM2.5 pollution areas, while Northeast and Southwest China are regarded as low-risk areas for PM2.5 pollution. Meanwhile, in Northern and Southern China, the population density was the most important socioeconomic factor affecting PM2.5 with q values of 0.62 and 0.66, respectively; the main meteorological factors affecting PM2.5 were air temperature and vapor pressure, with q values of 0.64 and 0.68, respectively. These results are conducive to our in-depth understanding of the status of PM2.5 pollution in China and provide an important reference for the future direction of PM2.5 pollution control.

scholarly journals STRESS INDEX IN UKRAINE’S MARKET OF NEGOTIABLE FINANCIAL INSTRUMENTS

2018 ◽  
Vol 2018 (2) ◽  
pp. 39-49
Author(s):  
Igor KRAVCHUK ◽  
Keyword(s):  
Distribution Function ◽  
Composite Index ◽  
Stress Index ◽  
Seasonal Adjustment ◽  
Efficiency Coefficient ◽  
Financial Instruments ◽  
Factors Affecting ◽  
State Of The Economy ◽  
Integral Distribution ◽  
Integral Distribution Function

Market of negotiable financial instruments is an immanent component of the financial system and is in a two-way relationship with other financial institutions and real sector of the economy in terms of ensuring its stable functioning. Possible market shocks can adversely affect state of the economy; therefore regulators should carry out constant market surveillance to detect and prevent early possible market violations, by calculating (in particular) the composite stress index. To construct a composite index, correlation analysis, generalized autoregressive conditional heteroscedasticity model, standardization based on the integral distribution function, seasonal adjustment and determination of a long-term trend based on filtering are used. It is proposed to calculate the stress index of Ukraine’s market of negotiable financial instruments on the basis of market data by balanced averaging of the following sub-indices: (i) stocks (UX stock yield volatility, CMAX indicator, market efficiency coefficient); (ii) debt securities (sovereign spread and CDS spread); and (iii) derivatives (indicator of the change in the number of open futures positions for the UX stock). Aforementioned were standardized using the integral distribution function. The author’s analysis of the proposed composite stress index shows that dominant factors affecting the situation in Ukraine’s market of securities and derivatives are intra-national ones, which have become dominant since 2014. At present, the stress index of Ukraine’s market of negotiable financial instruments is still of little importance to reflect economic situation in the state, given weak development of the market and its meager role for financing and reflecting the corporate activity.

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