scholarly journals Selected Environmental Assessment Model and Spatial Analysis Method to Explain Correlations in Environmental and Socio-Economic Data with Possible Application for Explaining the State of the Ecosystem

2019 ◽  
Vol 11 (17) ◽  
pp. 4781
Author(s):  
Junnan Xiong ◽  
Wei Li ◽  
Hao Zhang ◽  
Weiming Cheng ◽  
Chongchong Ye ◽  
...  
Keyword(s):  
Ecosystem Health ◽  
Assessment Model ◽  
Policy Framework ◽  
Analysis Method ◽  
State Response ◽  
Ecological Protection ◽  
Trends Over Time ◽  
Spatial Analysis Method ◽  
Hu Line ◽  
Pressure State

Regional ecosystem health is the basis for regular regional exploration, ecological protection, and sustainable development. This study explored ecosystem health at the southern end of the Hu Line (Sichuan and Yunnan provinces) using the pressure–state–response model and examined the spatial evolution of ecosystem health. The proportion of unhealthy and morbid cities decreased from 45.9% in 2000 to 35.1% in 2016. The imbalance of ecosystem health among cities has gradually increased since 2006, but more high-quality cities have emerged (Z of Moran’s Index < 1.96, p > 0.05). Overall, the regional ecosystem on the southeast side of the Hu Line was healthier than that on the northwest side. Differences in ecosystem health on both sides of the Hu Line showed decreasing trends over time except for the pressure score. The spatial pattern of ecosystem health moved along the Hu Line because the pressure and state scores of ecosystems were mainly determined by the natural environmental conditions. Based on the county-level assessment, the grade of imbalance within cities was divided, and those that were lagging were identified. To correct regional imbalances, a comprehensive and proactive policy framework for a smart development model was put forward in Sichuan and Yunnan.

scholarly journals Assessment of Wetland Ecosystem Health Using the Pressure–State–Response (PSR) Model: A Case Study of Mursidabad District of West Bengal (India)

2020 ◽  
Vol 12 (15) ◽  
pp. 5932 ◽  
Author(s):  
Subhasis Das ◽  
Biswajeet Pradhan ◽  
Pravat Kumar Shit ◽  
Abdullah M. Alamri
Keyword(s):  
Population Density ◽  
Ecosystem Health ◽  
Census Data ◽  
West Bengal ◽  
Health Conditions ◽  
Wetland Ecosystem ◽  
Road Density ◽  
Rapid Urbanization ◽  
State Response ◽  
Pressure State

Wetlands are essential for protein production, water sanctification, groundwater recharge, climate purification, nutrient cycling, decreasing floods and biodiversity preservation. The Mursidabad district in West Bengal (India) is situated in the floodplain of the Ganga–Padma and Bhagirathi rivers. The region is characterized by diverse types of wetlands; however, the wetlands are getting depredated day-by-day due to hydro-ecological changes, uncontrolled human activities and rapid urbanization. This study attempted to explore the health status of the wetland ecosystem in 2013 and 2020 at the block level in the Mursidabad district, using the pressure–state–response model. Based on wetland ecosystem health values, we categorized the health conditions and identified the blocks where the health conditions are poor. A total of seven Landsat ETM+ spaceborne satellite images in 2001, 2013 and 2020 were selected as the data sources. The statistical data included the population density and urbanization increase rate, for all administrative units, and were collected from the census data of India for 2001 and 2011. We picked nine ecosystem indicators for the incorporated assessment of wetland ecosystem health. The indicators were selected considering every block in the Mursidabad district and for the computation of the wetland ecosystem health index by using the analytical hierarchy processes method. This study determined that 26.92% of the blocks fell under the sick category in 2013, but increased to 30.77% in 2020, while the percentage of blocks in the very healthy category has decreased markedly from 11.54% to 3.85%. These blocks were affected by higher human pressure, such as population density, urbanization growth rate and road density, which resulted in the degradation of wetland health. The scientific protection and restoration techniques of these wetlands should be emphasized in these areas.

scholarly journals Scenario Analysis of Emergency in Civil Aviation Airports Based on the Pressure- State-Response Model and Bayesian Network

2020 ◽  
Vol 13 (5) ◽  
pp. 143-149
Author(s):  
Bin Meng ◽  
◽  
Na Lu ◽  
Xinyao Guo ◽  
Qingmin Si ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Emergency Response ◽  
Scenario Analysis ◽  
Civil Aviation ◽  
Analysis Method ◽  
Emergency Rescue ◽  
State Response ◽  
Emergency Scenario ◽  
Emergency Scenarios ◽  
Pressure State

The emergency response capability of civil aviation airports is the core to ensure the efficient handling of civil aviation emergencies. The dynamic characterization of the multi-scenario evolution paths of emergencies in civil aviation airports and quantitative targeted evaluation have become the study foci urgently needed to be solved by the current academic circles and airport departments for emergency management. To clarify the emergency mechanism, evolution mechanism, and multi-scenario evolution paths, this study first constructed the pressure-state-response (PSR) network expression of emergency scenario evolution in civil aviation airports. Then, the evolution path of airport emergency scenarios and the probability of different evolution scenarios were evaluated on the basis of the PSR model and Bayesian network (BN). Lastly, the specific process of the analysis method for emergency scenarios based on PSR and BN was demonstrated in consideration of emergency rescue drills in civil aviation airports as example. Results show that different emergency response measures are adopted for the critical scenarios of emergencies, and the development and evolution paths of emergency scenarios completely differ. The PSR-BN model for emergency scenario analysis can realize the reasoning process of combining the qualitative and quantitative scenarios of the dynamic evolution of civil aviation emergencies. It can comprehensively and systematically analyse the evolution of emergency scenarios in civil aviation airports, prove the feasibility and effectiveness of the analysis method, and effectively compensate for the shortcomings in the static analysis of emergency events. The model provides reference for the emergency analysis of civil aviation airports.

scholarly journals Watershed Sustainability Index for Langat UNESCO HELP River Basin, Malaysia

2018 ◽  
Vol 7 (3.14) ◽  
pp. 187
Author(s):  
Rahmah Elfithri ◽  
Mazlin Mokhtar ◽  
Mat Pauzi Abdullah ◽  
Mohd Raihan Taha ◽  
Mohd Ekhwan Toriman ◽  
...  
Keyword(s):  
River Basin ◽  
Catchment Area ◽  
Economic Conditions ◽  
Environmental Condition ◽  
Sustainability Index ◽  
State Response ◽  
Maximum Value ◽  
Langat River ◽  
Basin Hydrology ◽  
Pressure State

The study on Watershed Sustainability Index (WSI) has been conducted to analyst the environmental condition in the area incorporating ecological baseline and socio-economic conditions. WSI is an integrated indicator based on basin Hydrology, Environment, Life and Policy (HELP) state condition. It is suitable to be applied in the Langat River Basin in Malaysia which has similar catchment area (up to 2,350 km2) and is one of the UNESCO HELP River Basin since 2004. The WSI analysis which uses a pressure–state–response function based on basin HELP Indicator was done for Langat River Basin by using relevant available 5 years data for the period of 2009 to 2013. It is found that Langat River Basin is having WSI value of 0.68 which falls under the category of medium sustainability (between 0.5-0.8). Based on the maximum value (i.e. 1) or high sustainability (i.e. WSI value more than 0.8) it can be said that Langat is in the good side in term of sustainability. Few management aspects need to be improved and maintained well to be more sustainable. The assessment provides Langat River Basin with more information that is crucial in managing the basin through the adoption of UNESCO’s HELP Framework.   

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