Evaluation of changes in ecological security in China’s Qinghai Lake Basin from 2000 to 2013 and the relationship to land use and climate change

Ecological security evaluation is an important way to identify the need for improvement in a watershed and to assess the degree of regional sustainable development. Using a driver–pressure–state–exposure–response model, a comprehensive system of ecological security indicators was developed, and it was demonstrated in a case study of the main ecological problems facing the Qinghai Lake Basin. Indicators of the status of the natural ecological environment, socioeconomic pressure, and the degree of environmental damage were chosen to develop the model, and comprehensively evaluated the basin’s ecological security in 2000, 2004, 2009, and 2013 to reveal changes in the ecological security in response to changing climate and land use. The overall ecological security of the basin improved from 2000 to 2013, with considerable restoration and reconstruction of the ecosystem. From 2000 to 2004, environmental deterioration increased slightly as a result of pollution caused by human activities, excess land reclamation for agriculture, land desertification, and grassland degeneration. However, the obvious effect of ecological protection policies, such as conversion of farmland into grassland and stall feeding of livestock instead of grazing, led to improvement of the ecological environment from 2004 to 2013. Ecological security in the basin increased with increasing precipitation during the study period.     

Pareto’s law and sample size: a case study of China’s urban system 1984–2008

While Pareto’s law has been widely supported by empirical evidence in urban studies, past studies have focused on finding best fits for city rank-size distribution. A main concern with Pareto’s law is the truncation of sample selection, for which few studies have examined it directly. This study tests three existing threshold methods (number threshold, size threshold, and urban population percentage threshold) using China’s city system as a case study. In addition, this study proposes a new method based upon the percentage threshold of the total number of cities. A systematic analysis is applied to examine the relationship between Pareto exponent and sample size using different threshold methods. The results show that Pareto exponent is sensitive to sample size and the truncation point. Including only large cities is problematic because a slight change in the truncation point will yield quite different results of Pareto exponent. In addition, the new method, the percentage threshold of the total number of cities method, presents an advantage over previous methods, in that this method yields a consistent set of results over a wide range of thresholds. Finally, when using this new method with China’s city system, the Pareto exponent presents a turning point in 1996, representing China’s transition from a planned economy to a more market oriented economy during that period.     

Review on transboundary aquifers in People’s Republic of China with case study of Heilongjiang-Amur River Basin

Groundwater, as a precious resource hidden underground, is an important component of the global water system. Transboundary aquifers containing substantial amount of groundwater often carry crucial ecological and social implications. Yet, it is unfortunate that transboundary aquifers have hardly been in the forefront of political and scientific discussions, and have not received due attention by policymakers. This article attempts to summarize the investigation on the eight transboundary aquifers that China shares with the neighboring countries. An overview on the groundwater resources in China, including its distribution, exploitation and challenges is also provided. Hydrogeological condition of the Heilongjiang-Amur River Basin aquifer, which is one of the eight major aquifers, is further elaborated. Cooperative activities carried out by China and Russia on monitoring and management of this aquifer are also presented.     

Changes in carbon intensity of China’s energy-intensive industries: a combined decomposition and attribution analysis

There has been growing interest among researchers in factors influencing carbon emissions of energy-intensive industries in China due to the important roles they play. Such studies mainly focused on evaluating carbon emissions and identifying the contributing factors separately for each energy-intensive industry. Regarding energy-intensive industries as a whole and investigating the contribution of each industry to changes in carbon intensity have not yet been sufficiently addressed and quantified. In order to deeply understand this issue, this study employed the LMDI decomposition analysis to study driving forces (e.g., emission coefficient, energy intensity, and industrial structure) of carbon intensity of energy-intensive industries. Then, attribution analysis was further used to study the contribution of each energy-intensive industry to the percent change in carbon intensity through each impact factor. The results showed that the carbon intensity of energy-intensive industries dropped by 31.83% from 1996 to 2014. The energy intensity effect was largely responsible for this decrease, of which, five industries were the contributors except for the fuel-processing industry. The industrial structure effect also contributed to the decrease, and non-metallic industry and fuel-processing industry played important roles. However, the emission coefficient effect showed a slight impact on increasing carbon intensity, which principally due to chemical industry and power generation industry. The findings suggested that the adaptability and sensitivity of different energy-intensive industries to the implemented policies were various. Based on the results, differentiated and feasible policies related to energy intensity, industrial structure, and energy structure for energy-intensive industries were provided to further mitigate carbon intensity.     

Interaction between risk perception and sense of place in disaster-prone mountain areas: a case study in China’s Three Gorges Reservoir Area

Residents of rural mountain settlements are constantly threatened by disasters such as landslides. Their risk perception directly or indirectly affects their behavioral choices. Introducing the concept of sense of place, this paper details its interactions with the risk perception of mountain hazards. Rural residents (n = 348) in landslide-threatened areas of the Three Gorges Reservoir Area were questioned about their sense of place and risk perception. Partial least squares structural equation modeling was used to explore the interactions between various dimensions, and hypothetical tests were conducted. We found that dimensions of risk perception, such as Possibility and Unknown, had direct, negative impacts on the dimensions of sense of place, such as Society bond and Place dependence. Possibility had an indirect, yet more significant effect on Place attachment and Place identity, acting through Society bond. Rural residents often overestimate disaster risks due to fatalism, and a fear of the unknown stemming from low scientific literacy, which reduces their Place dependence. A complex interaction between sense of place and risk perception was observed. The findings provide a scientific basis for the government to formulate integrated policies regarding settlement relocation, disaster prevention and mitigation, and sustainable development.     

Effect of land use land cover changes on land surface temperature during 1984–2020: a case study of Baghdad city using landsat image

Natural Hazards - Urban land surface temperature (LST) is dependent on many factors, including land cover, building materials, urban density, and other human activities. The current study evaluated...     

Mesozoic and Cenozoic structural deformation in the NW Tarim Basin,China: a case study of the Piqiang–Selibuya Fault

The Piqiang–Selibuya Fault is the most significant fault in the NW Tarim Basin, China. It has attracted increasing attention because of the discovery of a series of oil (gas) fields in and around the fault zone. The structural characteristics and evolution of the Piqiang–Selibuya Fault remain controversial. Field geological surveys and seismic data interpretation reveal that the fault has experienced three stages of activity. The thicknesses of the Permian and Miocene strata on opposing sides of the fault are clearly different, and these reveal that the fault has experienced two stages of significant thrusting. The first stage took place at the end of the Triassic and was associated with the Qiangtang Block amalgamated to the south margin of Eurasia. The second stage occurred at the end of the Miocene and might have been caused by the northwards overthrusting of the Pamir. These two stages of thrusting led to the lower–middle Cambrian detachment layer in the eastern part of the Keping thrust belt being 2 km shallower than in the western part. Since the Pliocene, the southern Tien Shan orogenic belt has been reactivated and thrust towards the interior of the Tarim Basin, and a series of ENE–WSW-trending thrust sheets have formed in the Keping thrust belt. Because of the different depth of the detachment layer on the opposing sides of the Piqiang–Selibuya Fault, the number and spacing of thrust sheets formed to the east of the fault differ from those to the west. This dissimilar deformation led to the strike–slip displacement on the Piqiang–Selibuya Fault. The three stages of fault activity record three important tectonic events in the NW Tarim Basin. Qualitative analysis of this activity helps us better understand the influence of the far-field effect of the collisions that occurred on the southern margin of the Eurasia plate on the structural deformation of the NW Tarim Basin.     

Decoupling and decomposing analysis of construction industry’s energy consumption in China

Natural Hazards - The construction industry is one of the key industries for driving energy conservation in China. Decoupling of the construction industry development from energy consumption has...     

Central–local conflicts in China’s environmental policy implementation: the case of the sloping land conversion program

Deforestation since the 1980s has led to substantial loss of ecological services in China. As a responsive strategy, China launched the most ambitious reforestation efforts in the developing world. However, like many other environmental policies, forestry policy has not been effectively implemented, mainly due to the fragmentation nature in China’s environmental governance institution. This paper highlights the impact of central–local conflicts on forestry policy implementation. With insufficient motivation, local governments tend to minimize their efforts in planning, monitoring, and supporting reforestation activities, which poses great challenges on the sustainability of the reforestation benefits. With extensive field experiences, this paper also raises three innovative strategies to solve the financial dilemma that leads to the effort minimization phenomenon, with both the advantages and disadvantages for each strategy critically discussed. It finally recommends ways by which the central government could improve design of reforestation policies, or other large-scale ecological programs, which involve local governments as a key liaison.     

Satellite monitoring of spatio-temporal dynamics of China’s coastal zone eco-environments: preliminary analysis on the relationship between the environment,climate change and human behavior

In this paper, temporal dynamics of eco-environmental changes in coastal areas of China during 1981–2000 are investigated based on four key surface parameters including normalized difference vegetation index (NDVI), thermal index, moisture index and surface broadband albedo derived from quantitative remote sensing techniques and meteorological data. Firstly, land surface temperature (LST) and land surface broadband albedo are retrieved by the split-window algorithms and high-order polynomial regression method, respectively, using NOAA/AVHRR series images. Then, moisture index and thermal index, indicators of climate and moisture conditions in the study area, are computed from meteorological data and LST using principal component analysis (PCA). Finally, long-term dynamics of these eco-environmental factors and the reasons responsible for these changes are analyzed further. The results show that during the years from 1981 to 2000, the study area experienced a gradual increase in annual NDVI and climate factors and a decrease in surface annual broadband albedo, which indicates that the coastal thermal and moisture conditions and the subsistence conditions of natural vegetation have changed to a considerable extent. According to the results, a warming and wetting tendency over the last two decades is obvious in the China’s coastal zone that are mainly due to land use changes as of growing urbanization, exhaust emissions from industries and transportations and, partly global climate change. Uncontrolled rapid development of the study area may be blamed for these negative changes as a major driving force. The positive feedback mechanisms between albedo, NDVI and climate factors also partly explain these changes. This study suggests that the method integrating biophysical parameters retrieved from remote sensed images and meteorologic data provides a novel and feasible way to monitor large scale eco-environmental changes.

Older people’s psychosocial needs in a post-disaster rural community of China: an exploratory study

Older people are arguably one of the most vulnerable groups during a disaster. Existing studies either in China or in other countries predominantly focus on the more Western, pathology-based mental health approach in addressing the impact of disasters on older victims and their needs. However, the concept of ‘psychosocial’ recognises that problems caused by emergencies can simultaneously be of a social nature and a psychological one. This concept emerged from a growing critique on individual oriented mental health approach in disaster contexts. The present study was conducted to explore older people’s needs from a psychosocial perspective. The research site was a Chinese rural community located in the epicentre of ‘5.12’ Wenchuan earthquake (Ms = 8.0) occurred in 2008. The authors conducted content analyses on the qualitative in-depth interviews with 10 (5 males and 5 females) out of 30 older persons from this community. The findings revealed three major psychosocial problems: (1) constant fear of recurring debris flows; (2) sense of helplessness; and (3) disruption to previous social network. Indubitably, the participants reported family members and neighbours as their major sources of social support in emergency situations. This exploratory study argues that older people being exposed to disasters will not only develop psychological problems but also suffer disruption to their social support network and puts forward that empowering family and strengthening community cohesion are important initiatives for helping professionals to promote older people’s psychosocial well-being and enhance their resilience to natural disasters.     

Understanding indigenous people’s perception on climate change and climatic hazards: a case study of Chakma indigenous communities in Rangamati Sadar Upazila of Rangamati District, Bangladesh

This study explores the relationship between perception on climate change as well as climatic hazards and socio-demographic characteristics such as age, gender, occupation, exposure to mass media, amount of land, education, and income. Following simple random sampling technique, a total of 384 households were sampled from Rangamati Sadar Upazila of Bangladesh and were interviewed through a predesigned semistructured questionnaire. The findings of the study reveal that a substantial number of respondents (61 %) perceive that climate is changing moderately over the years. The bivariate results indicate that age, gender, education, occupation, income, amount of land, and access to mass media are significantly associated with perception on climate change as well as climatic hazards. In addition, age, education, and exposure to mass media are also found as significant predictors of climate change perception. Education has been found as the single best predictor.     

Farmers’ response to agricultural drought in paddy field of southern China: a case study of temporal dimensions of resilience

Seasonal water scarcity in southern China has been an issue of concern for many years. The increased frequency of low precipitation in the growing season of rice created a flurry of discussions in the academic and policy arenas. These events severely disrupted the supply of irrigation water for agriculture in paddy field areas and posed a substantial threat to farmers’ livelihoods. Within a broader context of accessing farmers’ resilience to agricultural drought, this paper focuses on the response mechanisms and adaptive strategies adopted by farming households in three types of areas (Plain, Hill, Mountain) in Dingcheng, Hunan Province. With the increasing drought frequency and the pressure from the demand for livelihood improvement, farmers’ response mechanisms have evolved, expanding from short-term adjustments to long-term adaptations, and switching focus from securing reliable water sources to improving irrigation efficiency and diversifying both on- and off- farm productions. The three types of geographic units have different resilience profiles and have developed diverse patterns of adaptive processes that update the conceptual model of Disaster Resilience of “Loss-Response” of Location. It presents a temporal dimension to the study of resilience, which is largely missing from the current literature and provides insights into how to enhance farmers’ response capacities in the face of agricultural drought in southern China.     

Stakeholders’ perception in identification of river bank erosion hazard: a case study

Hazards due to riverbank erosion, despite being considered usually as a natural phenomenon, have become a critical problem in recent times as introduction of new technology and one-sided engineering-based solution approach to combat natural hazards without taking into account of opinions of all categories of stakeholders, particularly of the hazard victims and policy makers, has aggravated the problem in many cases. The riverbank erosion hazard aggravated as a direct consequence of construction of Farakka Barrage on its upstream and downstream on the river Ganga has seriously affected the lifestyles of the people in the districts of Malda and Murshidabad in the state of West Bengal in India. In this paper, an attempt has been made to study the perceptions of different groups of stakeholders, particularly hazard victims and authority responsible for monetary investment, about causes of riverbank erosion and possible preventive and remedial measures required to solve such a complex and multi-dimensional problem. A questionnaire-based household survey has been conducted on a number of important issues of the problem among the directly affected hazard victims at a highly erosion-prone area in the Malda district. Different perceptions and their impacts on selection and implementation of anti-erosion measures are critically studied. Analysis of data as obtained from the representative sample of erosion victims as well as the secondary sources of data clearly indicates that the hazard victims are to face bad effects because of existence of perception gap and that a holistic approach considering the perception of erosion victims needs to be undertaken for a permanent solution of the problem.     

Influence of Shannon’s entropy on landslide-causing parameters for vulnerability study and zonation—a case study in Sikkim, India

Landslide is a common hazard in the hilly regions, which causes heavy losses to life and properties every year. Since 1980, various researches and analyses have been carried out in the geographic information systems (GIS) environment to identify factors responsible for causing landslides. The important conditioning factors identified by the researchers are slope, geological, geomorphologic structures, and land use coupled with triggering factors like rainfall and a few of the anthropogenic activities. Almost all landslides vulnerability studies carried out so far used parameters of landslide events of the past as essential inputs and advanced methods like information value, regression analysis, fuzzy logic, etc. The present research is an attempt to investigate the landslide vulnerabilities in different slope areas with simple and realistic method of assignments of weights to the parameters based on experts?? opinion and generic logic, without using the parameters of past landslide events as inputs. The identified factors were assigned appropriate weights based on experts?? opinion and these weights were further balanced with respect to the Shannon??s entropy of their occurrences within the study area. The study area was finally classified into three zones namely least vulnerable zone, moderately vulnerable zone, and most vulnerable zone. When compared with the actual landslide history of the past, it was found that Shannon??s entropy applied zonation model matched to real landslide events with higher value of landslide density as compared to the model developed without Shannon??s entropy.     

Statistical analysis of geo-electric imaging and geotechnical test results – a case study

For conjunctive use of geoelectric imaging and geotechnical site investigations in geotechnical characterization of major civil engineering construction sites, an objective assessment of influencing factors is important. Here, we present multiple regression analyses of both geoelectric (Electrical Resistivity Tomography, ERT; Induced Polarization Imaging, IPI) and geotechnical site investigations (Standard Penetration Test, SPT) for two profiles at a construction site for CGEWHO Complex in Greater Noida region, Delhi to assess the role of influencing formation factors like sand, fines and water content. Achieved results show that SPT ‘N’ and IPI are well predicted by a linear multiple regression. On an average, the nonlinear regression has improved predicted SPT ‘N’, resistivity and chargeability by 28.55%, 22.45% and 9.58%, respectively. The influence of sand and fines content is more than that of water content in the prediction of chargeability and SPT ‘N’. RMS error is less in prediction of IPI chargeability (average error of 1.96%) in comparison to SPT ‘N’ value (average error of 11.35%). As factors affecting chargeability (IPI) and SPT ‘N’ are similar, non-invasive IPI can be used along with few geotechnical site investigations for detailed geotechnical site investigations.