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Due to the specific hydrothermal conditions of dry-hot valleys, temperature changes caused by the development of large-scale hydropower projects may be more extreme than they are in other regions. In this study, we analyzed these temperature changes at four hydropower stations in both dry-hot and non-dry-hot valleys. Based on the calculated relative temperatures of the downstream river and the areas surrounding the reservoirs, we employed two indices to quantify the influence of the reservoirs on the temperatures of these two regions: the downstream river temperature change and the reservoir effect change intensity. Our results are as follows: (a) In the downstream rivers, the temperature regulation effect was more pronounced in the wet season; in the regions surrounding the reservoirs, the temperature regulation effect was more pronounced in the dry season. (b) The downstream river temperature in both the dry-hot and wet-hot valleys exhibited noticeable warming in both the wet and dry seasons, while the cold-dry valley was characterized by cooling in the dry season and warming in the wet season. With the exception of the Liyuan station (where the influence of the reservoir on the downstream temperatures only extended to a distance of 9 km from the dam) during the dry season, the existence of the hydropower stations affected the temperatures of the entire downstream region. (c) For the areas surrounding the reservoir, the presence of a hydropower station mainly caused the temperatures in the dry-hot valleys to rise and the temperatures in the non-dry-hot valleys to decrease.
D. C. Wang; X. Zhang; Y. Huang; X. Wang; W. Zhang; Z. J. Cao; Y. Xin; M. Qu. Comparative Study on Temperature Response of Hydropower Development in the Dry‐Hot Valley. GeoHealth 2021, 5, 1 .
AMA StyleD. C. Wang, X. Zhang, Y. Huang, X. Wang, W. Zhang, Z. J. Cao, Y. Xin, M. Qu. Comparative Study on Temperature Response of Hydropower Development in the Dry‐Hot Valley. GeoHealth. 2021; 5 (7):1.
Chicago/Turabian StyleD. C. Wang; X. Zhang; Y. Huang; X. Wang; W. Zhang; Z. J. Cao; Y. Xin; M. Qu. 2021. "Comparative Study on Temperature Response of Hydropower Development in the Dry‐Hot Valley." GeoHealth 5, no. 7: 1.
The western region of China has always been the main battlefield for poverty alleviation. It is essential to explore the interaction mechanism between the infrastructure perfection and residents’ living standards on a small scale to accurately reduce poverty and narrow the gap between the rich and poor residents. Taking poverty-stricken counties in Qinghai Province as the research unit, we constructed a coupling coordination model between infrastructure perfection and living standards to compare and analyze temporal and spatial differentiation patterns. Further, we introduced and improved the barycentric coupling model to analyze the synergistic evolution. The results showed that, from 2002 to 2018, (1) infrastructure perfection and living standards demonstrated an overall growth trend, and spatial agglomeration characteristics were obvious. Counties with better infrastructure perfection and living standards were concentrated in the northeast, and poorer standards were concentrated in southwestern. (2) The degree of coupling coordination changed from the initial antagonistic to coordination coupling, but level of coordination was low, and 50% of counties were still below the medium level. Spatial differentiation was obvious. The development speed of the degree of coupling coordination in the northeast was obviously faster than that in southwest counties, showing a pattern of “high in the northeast and low in the southwest”. (3) Infrastructure perfection played an active role on multidimensional poverty, and poverty reduction of infrastructure was feasible. Spatially, the coupling center of gravity was located in the eastern part of Qinghai Province. Therefore, infrastructure construction in the western should be strengthened in the future.
Yan Xin; Dongchuan Wang; Lihui Zhang; Yingyi Ma; Xing Chen; Haiqing Wang; Hongyi Wang; Kangjian Wang; Hui Long; Hua Chai; Jianshe Gao. Cooperative analysis of infrastructure perfection and residents’ living standards in poverty-stricken counties in Qinghai Province. Environment, Development and Sustainability 2021, 1 -17.
AMA StyleYan Xin, Dongchuan Wang, Lihui Zhang, Yingyi Ma, Xing Chen, Haiqing Wang, Hongyi Wang, Kangjian Wang, Hui Long, Hua Chai, Jianshe Gao. Cooperative analysis of infrastructure perfection and residents’ living standards in poverty-stricken counties in Qinghai Province. Environment, Development and Sustainability. 2021; ():1-17.
Chicago/Turabian StyleYan Xin; Dongchuan Wang; Lihui Zhang; Yingyi Ma; Xing Chen; Haiqing Wang; Hongyi Wang; Kangjian Wang; Hui Long; Hua Chai; Jianshe Gao. 2021. "Cooperative analysis of infrastructure perfection and residents’ living standards in poverty-stricken counties in Qinghai Province." Environment, Development and Sustainability , no. : 1-17.
The highway is an important mode of transportation in the Qinghai–Tibet Plateau, and can be regarded as a major contributor to the high-quality and sustainable development of the Qinghai–Tibet Plateau. It is of great significance to explore its spatial distribution and characteristics for understanding the regional and geographical process. Although Qinghai–Tibet Plateau’s highway transportation infrastructure has been experiencing rapid development in recent years, there lacks a systematic examination of the whole Qinghai–Tibet Plateau from the perspective of supportive capacity for its socio-economic activities. This paper applies geospatial analysis methods, such as network analysis, spatial statistics, and weighted overlay, to model the highway transport dominance in the Qinghai–Tibet Plateau in 2015 at the county scale and reveals the basic characteristics of the highway transport dominance’s spatial pattern. The results are mainly of four aspects: 1) there is a significant difference between the east and west of the highway in the Qinghai–Tibet Plateau, showing an irregular circle structure of gradual attenuation from the east to west; 2) at the county scale, the highway transport dominance in the Qinghai–Tibet Plateau shows strong spatial autocorrelation and a certain extent of spatial heterogeneity, presenting a spatial distribution pattern of High–High and Low–Low clustering; 3) the urban locations of Lhasa, Xining and other center cities have obvious spatial constraints on the distribution of highway transport dominance and generally have a logarithmic decline trend; and 4) there are obvious differences in distribution among the three Urban Agglomerations in the Qinghai–Tibet Plateau. Due to the influence of traffic location, topography, construction of national trunk lines, and level of socio-economic development., the traffic conditions of Lan-Xi Urban Agglomeration and Lhasa Urban Agglomeration are better than Kashgar Urban Agglomeration. This study can be used to guide the optimization of the highway network structure and provide a macro decision-making reference for the planning and evaluation of major highway projects in the Qinghai–Tibet Plateau.
Zhiheng Wang; Hongkui Fan; Daikun Wang; Tao Xing; Dongchuan Wang; Qiaozhen Guo; Lina Xiu. Spatial Pattern of Highway Transport Dominance in Qinghai–Tibet Plateau at the County Scale. ISPRS International Journal of Geo-Information 2021, 10, 304 .
AMA StyleZhiheng Wang, Hongkui Fan, Daikun Wang, Tao Xing, Dongchuan Wang, Qiaozhen Guo, Lina Xiu. Spatial Pattern of Highway Transport Dominance in Qinghai–Tibet Plateau at the County Scale. ISPRS International Journal of Geo-Information. 2021; 10 (5):304.
Chicago/Turabian StyleZhiheng Wang; Hongkui Fan; Daikun Wang; Tao Xing; Dongchuan Wang; Qiaozhen Guo; Lina Xiu. 2021. "Spatial Pattern of Highway Transport Dominance in Qinghai–Tibet Plateau at the County Scale." ISPRS International Journal of Geo-Information 10, no. 5: 304.
Background Associated with the significant decrease in water resources, natural vegetation degradation has also led to many widespread environmental problems in the Aral Sea Basin. However, few studies have examined long-term vegetation dynamics in the Aral Sea Basin or distinguished between natural vegetation and cultivated land when calculating the fractional vegetation cover. Methods Based on the multi-temporal Moderate Resolution Imaging Spectroradiometer, this study examined the natural vegetation coverage by introducing the Linear Spectral Mixture Model to the Google Earth Engine platform, which greatly reduces the experimental time. Further, trend line analysis, Sen trend analysis, and Mann–Kendall trend test methods were employed to explore the characteristics of natural vegetation cover change in the Aral Sea Basin from 2000 to 2018. Results Analyses of the results suggest three major conclusions. First, the development of irrigated agriculture in the desert area is the main reason for the decrease in downstream water. Second, with the reduction of water, the natural vegetation coverage in the Aral Sea Basin showed an upward trend of 17.77% from 2000 to 2018. Finally, the main driving factor of vegetation cover changes in the Aral Sea Basin is the migration of cultivated land to the desert.
Yiting Su; Dongchuan Wang; Shuang Zhao; Jiancong Shi; Yanqing Shi; Dongying Wei. Examining long-term natural vegetation dynamics in the Aral Sea Basin applying the linear spectral mixture model. PeerJ 2021, 9, e10747 .
AMA StyleYiting Su, Dongchuan Wang, Shuang Zhao, Jiancong Shi, Yanqing Shi, Dongying Wei. Examining long-term natural vegetation dynamics in the Aral Sea Basin applying the linear spectral mixture model. PeerJ. 2021; 9 ():e10747.
Chicago/Turabian StyleYiting Su; Dongchuan Wang; Shuang Zhao; Jiancong Shi; Yanqing Shi; Dongying Wei. 2021. "Examining long-term natural vegetation dynamics in the Aral Sea Basin applying the linear spectral mixture model." PeerJ 9, no. : e10747.
Hydropower construction may alleviate regional power shortages, regulate river water volume, improve energy structure. However, extensive hydropower construction activities can reduce the river connectivity, which will further lead to biodiversity loss and ecological environment degradation. Most impact assessments of river connectivity have concentrated on large hydropower stations, while few on small ones. Through field investigation, this study identified 236 small hydropower stations on the upper reaches of the great rivers in the Tibetan Plateau, including the Yellow and Yangtze Rivers. The authors established a river connectivity impact index (RCII) model to achieve quantitative analysis of the connectivity of each river segment. Four pressure indicators, the Degree of Fragmentation (DOF), the Degree of Flow Utilization (DFU), the Degree of Obstruction (DOO), and the Density of Road (DOR), were set up based on the station’s attribute data. The results indicate that the RCII can better express the impact degree of river connectivity with a high correlation coefficient R2 between the degree of water reduction and the RCII. More than 40.33% of the river reaches were with “heavy” RCII values, indicating that the construction of small hydropower stations had some impacts on river connectivity to some extent. Also, we found that DOF and DOR had greater impacts on river connectivity in the study area. The river connectivity impact had great spatial differences, with rivers in the eastern region being the most serious. Furthermore, the greater the damage of river connectivity, the greater the potential for loss of aquatic biodiversity. A framework was set up in our work to quantitatively evaluate the impact of small hydropower station construction on river connectivity, providing strong support for the further ecological river protection and strategic planning.
Dongchuan Wang; Xiao Wang; Yong Huang; Xian Zhang; Wei Zhang; Yan Xin; Ming Qu; Zejun Cao. Impact analysis of small hydropower construction on river connectivity on the upper reaches of the great rivers in the Tibetan Plateau. Global Ecology and Conservation 2021, 26, e01496 .
AMA StyleDongchuan Wang, Xiao Wang, Yong Huang, Xian Zhang, Wei Zhang, Yan Xin, Ming Qu, Zejun Cao. Impact analysis of small hydropower construction on river connectivity on the upper reaches of the great rivers in the Tibetan Plateau. Global Ecology and Conservation. 2021; 26 ():e01496.
Chicago/Turabian StyleDongchuan Wang; Xiao Wang; Yong Huang; Xian Zhang; Wei Zhang; Yan Xin; Ming Qu; Zejun Cao. 2021. "Impact analysis of small hydropower construction on river connectivity on the upper reaches of the great rivers in the Tibetan Plateau." Global Ecology and Conservation 26, no. : e01496.
Although research relating to the urban heat island (UHI) phenomenon has been significantly increasing in recent years, there is still a lack of a continuous and clear recognition of the potential gradient effect on the UHI—landscape relationship within large urbanized regions. In this study, we chose the Beijing-Tianjin-Hebei (BTH) region, which is a large scaled urban agglomeration in China, as the case study area. We examined the causal relationship between the LST variation and underlying surface characteristics using multi-temporal land cover and summer average land surface temperature (LST) data as the analyzed variables. This study then further discussed the modeling performance when quantifying their relationship from a spatial gradient perspective (the grid size ranged from 6 to 24 km), by comparing the ordinary least squares (OLS) and geographically weighted regression (GWR) methods. The results indicate that: (1) both the OLS and GWR analysis confirmed that the composition of built-up land contributes as an essential factor that is responsible for the UHI phenomenon in a large urban agglomeration region; (2) for the OLS, the modeled relationship between the LST and its drive factor showed a significant spatial gradient effect, changing with different spatial analysis grids; and, (3) in contrast, using the GWR model revealed a considerably robust and better performance for accommodating the spatial non-stationarity with a lower scale dependence than that of the OLS model. This study highlights the significant spatial heterogeneity that is related to the UHI effect in large-extent urban agglomeration areas, and it suggests that the potential gradient effect and uncertainty induced by different spatial scale and methodology usage should be considered when modeling the UHI effect with urbanization. This would supplement current UHI study and be beneficial for deepening the cognition and enlightenment of landscape planning for UHI regulation.
Yixu Wang; Mingxue Xu; Jun Li; Nan Jiang; Dongchuan Wang; Lei Yao; Ying Xu. The Gradient Effect on the Relationship between the Underlying Factor and Land Surface Temperature in Large Urbanized Region. Land 2020, 10, 20 .
AMA StyleYixu Wang, Mingxue Xu, Jun Li, Nan Jiang, Dongchuan Wang, Lei Yao, Ying Xu. The Gradient Effect on the Relationship between the Underlying Factor and Land Surface Temperature in Large Urbanized Region. Land. 2020; 10 (1):20.
Chicago/Turabian StyleYixu Wang; Mingxue Xu; Jun Li; Nan Jiang; Dongchuan Wang; Lei Yao; Ying Xu. 2020. "The Gradient Effect on the Relationship between the Underlying Factor and Land Surface Temperature in Large Urbanized Region." Land 10, no. 1: 20.
To regulate regional water resources, it is essential to identify the relationships among the elements that influence water conservation. Taking the Beijing–Tianjin–Hebei urban agglomeration as the study area, the authors applied a new method in combination with a geodetector model and spatial elastic coefficient trajectory model to reveal factors controlling water conservation and to identify relationships among the elements driving water conservation, in which the water conservation capacity and its spatial distribution were achieved using an Integrated Valuation of Ecosystem Services and Tradeoffs model. The authors selected precipitation, potential evapotranspiration, temperature, land use, maximum burial depth of soil, plant‐available water content, soil‐saturated hydraulic conductivity, percentage slope, gross domestic product, and population as the spatial driving factors, which measured the influence on the distribution of water conservation capacity on the whole region, plateaus, mountains, and plains, respectively. On the basis of previous research results, the authors selected precipitation, potential evapotranspiration, and land use as time‐driven factors. The results indicated that the strong water conservation capacity was reflected primarily in the Yanshan and Taihang Mountains and the eastern coastal areas. The water conservation capacity of the entire region, mountains, plateaus, and plains was affected mainly by the soil‐saturated hydraulic conductivity, plant‐available water content, precipitation, and precipitation, respectively. Each driving factor exhibited a clearly interactive influence on the spatial distribution of water conservation in terms of space and time.
Junhe Chen; Dongchuan Wang; Guodong Li; Zhichao Sun; Xiao Wang; Xian Zhang; Wei Zhang. Spatial and Temporal Heterogeneity Analysis of Water Conservation in Beijing‐Tianjin‐Hebei Urban Agglomeration Based on the Geodetector and Spatial Elastic Coefficient Trajectory Models. GeoHealth 2020, 4, 1 .
AMA StyleJunhe Chen, Dongchuan Wang, Guodong Li, Zhichao Sun, Xiao Wang, Xian Zhang, Wei Zhang. Spatial and Temporal Heterogeneity Analysis of Water Conservation in Beijing‐Tianjin‐Hebei Urban Agglomeration Based on the Geodetector and Spatial Elastic Coefficient Trajectory Models. GeoHealth. 2020; 4 (8):1.
Chicago/Turabian StyleJunhe Chen; Dongchuan Wang; Guodong Li; Zhichao Sun; Xiao Wang; Xian Zhang; Wei Zhang. 2020. "Spatial and Temporal Heterogeneity Analysis of Water Conservation in Beijing‐Tianjin‐Hebei Urban Agglomeration Based on the Geodetector and Spatial Elastic Coefficient Trajectory Models." GeoHealth 4, no. 8: 1.
Land is not only a basic factor of production and an important space carrier, but also a key tool to control the development of urban economy. While the phenomenon of land participation in regulation exists generally in China, the theory of supporting regulation and the effect of regulation are still unclear. In the study, we intend to analyse the relationship between location of construction land supply and regional economic growth. By constructing indexes of construction land supply structure and a theoretical model based on the Solow model, we explore the relationship between the location of construction land supply and economic growth in the Tianjin Binhai New Area (TBNA). We find that the location of construction land supply significantly impacts economic growth. The circle-layers dimension has a hop about the influence of construction land supply on economic growth. The orientation dimension has superiority in some regions, especially the southwest and northwest. To realise sustainable urban development, construction land supply should focus on the lag and location difference of its economic driving effect and actively promote the redevelopment of stock construction land not only in the TBNA but also other rapidly developing cities.
Lingxiang Huang; Lu Yang; Lingling Tian; Rui Yu; Dongchuan Wang; Jianmin Hao; Jing Lu. Does the location of construction land supply play an very important role on economic growth? The case study of Tianjin Binhai New Area. Journal of Urban Management 2019, 9, 104 -114.
AMA StyleLingxiang Huang, Lu Yang, Lingling Tian, Rui Yu, Dongchuan Wang, Jianmin Hao, Jing Lu. Does the location of construction land supply play an very important role on economic growth? The case study of Tianjin Binhai New Area. Journal of Urban Management. 2019; 9 (1):104-114.
Chicago/Turabian StyleLingxiang Huang; Lu Yang; Lingling Tian; Rui Yu; Dongchuan Wang; Jianmin Hao; Jing Lu. 2019. "Does the location of construction land supply play an very important role on economic growth? The case study of Tianjin Binhai New Area." Journal of Urban Management 9, no. 1: 104-114.
The development of the urban agglomeration has caused drastic changes in landscape pattern and increased anthropogenic heat emission and lead to the urban heat island (UHI) effect more serious. Therefore, understanding the interpretation ability of landscape pattern on the thermal environment has gradually become an important focus. In the study, the spatial heterogeneity of the surface temperature was analyzed using the hot-spot analysis method which was improved by changing the calculation of space weight. Then the interpretation ability of a single landscape and a combination of landscapes to explain surface temperature was explored using the Pearson correlation coefficient and ordinary least squares regression from different spatial levels, and the spatial heterogeneity of the interpretation ability was explored using geographical weighted regression under the optimal granularity (5 × 5 km). The results showed that: (1) The hot spots of surface temperature were distributed mainly in the plains and on the southeast hills, where the landscapes primarily include artificial landscape (ArtLS) and farmland landscape (FarmLS). The cold spots were distributed mainly in the northern hills, which are dominated by forest landscape (ForLS). (2) On the whole, the interpretative ability of ForLS, FarmLS, ArtLS, green space landscape pattern, and ecological landscape pattern to explain surface temperature was stronger, whereas the interpretative ability of grassland landscape and wetland landscape to explain surface temperature was weaker. The interpretation ability of landscape pattern to explain surface temperature was obviously different in different areas. Specifically, the ability was stronger in the hills than in the plain and plateau. The results are intended to provide a scientific basis for adjusting landscape structural, optimizing landscape patterns, alleviating the UHI effect, and coordinating the balance among cities within the urban agglomeration.
Dongchuan Wang; Zhichao Sun; Junhe Chen; Xiao Wang; Xian Zhang; Wei Zhang. Analyzing the interpretative ability of landscape pattern to explain thermal environmental effects in the Beijing-Tianjin-Hebei urban agglomeration. PeerJ 2019, 7, e7874 .
AMA StyleDongchuan Wang, Zhichao Sun, Junhe Chen, Xiao Wang, Xian Zhang, Wei Zhang. Analyzing the interpretative ability of landscape pattern to explain thermal environmental effects in the Beijing-Tianjin-Hebei urban agglomeration. PeerJ. 2019; 7 ():e7874.
Chicago/Turabian StyleDongchuan Wang; Zhichao Sun; Junhe Chen; Xiao Wang; Xian Zhang; Wei Zhang. 2019. "Analyzing the interpretative ability of landscape pattern to explain thermal environmental effects in the Beijing-Tianjin-Hebei urban agglomeration." PeerJ 7, no. : e7874.
The assessment of ecological security patterns is a topic of conversation in landscape ecology in recent years. However, ecosystem services and human activities are seldom considered comprehensively in the assessment of ecological security patterns. The present study employs the Beijing–Tianjin–Hebei urban agglomeration as a study area, and uses ecological services to determine the ecological sources. The importance of ecological sources is classified based on logical coding and functional types of ecological services. The research combines regional characteristics to select and quantitatively calculate three human disturbance factors: soil erosion sensitivity, geological hazard sensitivity, and night lighting. Then the basic surface resistance of land use to limit migration is modified and ecological corridors are identified by combining these three disturbance factors. The results indicate that the sources of water production, soil and water conservation, and carbon fixation are mainly provided in mountainous areas, recreation sources are mostly distributed in the plains, and these ecological sources improve the maintenance of ecological corridors. The modification of resistance surfaces significantly changes the length of ecological corridors in Tianjin, Tangshan, Cangzhou, and Beijing, and the modified resistance surface improves the recognition of ecological corridors. This study provides a new research framework for identifying the ecological security patterns of urban agglomerations and provides scientific guidance related to ecological protection and urban planning for the Beijing−Tianjin−Hebei urban agglomeration.
Dongchuan Wang; Junhe Chen; Lihui Zhang; Zhichao Sun; Xiao Wang; Xian Zhang; Wei Zhang. Establishing an ecological security pattern for urban agglomeration, taking ecosystem services and human interference factors into consideration. PeerJ 2019, 7, e7306 .
AMA StyleDongchuan Wang, Junhe Chen, Lihui Zhang, Zhichao Sun, Xiao Wang, Xian Zhang, Wei Zhang. Establishing an ecological security pattern for urban agglomeration, taking ecosystem services and human interference factors into consideration. PeerJ. 2019; 7 ():e7306.
Chicago/Turabian StyleDongchuan Wang; Junhe Chen; Lihui Zhang; Zhichao Sun; Xiao Wang; Xian Zhang; Wei Zhang. 2019. "Establishing an ecological security pattern for urban agglomeration, taking ecosystem services and human interference factors into consideration." PeerJ 7, no. : e7306.
On the completion of a large-scale hydropower station, the change of the water area can cause a corresponding change of local weather. To examine such changes, this paper analyzed the effect of the reservoir in the head area of the Xiluodu hydropower station based on the temperature data of MODIS MYD11A2. The temperature differences (TD) between various locations in the study area and the reservoir were calculated to explore the TD in different seasons. The reservoir effect change intensity (RECI) was established to explore the impact of the reservoir on local weather changes in different flood seasons. The combination of the TD and RECI was applied to explore the role of the hydropower station in regulating the temperature of the surrounding reservoir. The results showed the following: (1) after hydropower station construction (HSC), the TD in the valleys decreased and the TD in the dry season was lower than that in the wet season; (2) the RECI had different distribution characteristics in different flood seasons of the reservoir, and the RECI was stronger in the wet season than that in the dry season; and (3) unlike in the plains, cooling and warming effects existed simultaneously in different parts of the mountains.
Dongchuan Wang; Feicui Wang; Yong Huang; Xingwu Duan; Jinya Liu; Bingxu Hu; Zhichao Sun; Junhe Chen. Examining the Effects of Hydropower Station Construction on the Surface Temperature of the Jinsha River Dry-Hot Valley at Different Seasons. Remote Sensing 2018, 10, 600 .
AMA StyleDongchuan Wang, Feicui Wang, Yong Huang, Xingwu Duan, Jinya Liu, Bingxu Hu, Zhichao Sun, Junhe Chen. Examining the Effects of Hydropower Station Construction on the Surface Temperature of the Jinsha River Dry-Hot Valley at Different Seasons. Remote Sensing. 2018; 10 (4):600.
Chicago/Turabian StyleDongchuan Wang; Feicui Wang; Yong Huang; Xingwu Duan; Jinya Liu; Bingxu Hu; Zhichao Sun; Junhe Chen. 2018. "Examining the Effects of Hydropower Station Construction on the Surface Temperature of the Jinsha River Dry-Hot Valley at Different Seasons." Remote Sensing 10, no. 4: 600.
Urbanization leads to the expansion of construction land. The rapid and intense construction land expansion in the Jing-Jin-Tang (Beijing–Tianjin–Tangshan) region has had various impacts on the economic development and natural environments. Based on remote sensing images, trajectory analysis was used to depict the dynamic changes of land use types over past three decades and explore the impact of urban expansion on the environment. Adopting Tapio’s decoupling analysis, we considered the relationship between the rate of change in areas of agricultural land occupied by construction land (ALO) and the non-agricultural GDP (NAGDP) growth rate to determine and compare the ecological consequences and economic impacts of urban expansion between cities with different industrial structures in the region. Our results show that: (1) during the study period, expansion of construction land in Beijing, Tianjin and Tangshan increased first and then decreased. (2) Early in the study period, most of areas converted to construction land had originally been agricultural land, but this gradually changed to include more other land use types. (3) The expansion of construction land not only occupies a large amount of agriculture land and ecological land, but also aggravates urban ecological problems. (4) The decoupling state of Tianjin was more ideal compared with those of Tangshan and Beijing. (5) Finally, the rate of change in ALO area began to decrease over the study period, even though the NAGDP growth rate continually increased in the whole region, meaning that the decoupling states were moving in an ideal direction.
Dongchuan Wang; Mengqin Sang; Yong Huang; Liding Chen; Xiangwang Wei; Wengang Chen; Feicui Wang; Jinya Liu; Bingxu Hu. Trajectory analysis of agricultural lands occupation and its decoupling relationships with the growth rate of non-agricultural GDP in the Jing-Jin-Tang region, China. Environment, Development and Sustainability 2018, 21, 799 -815.
AMA StyleDongchuan Wang, Mengqin Sang, Yong Huang, Liding Chen, Xiangwang Wei, Wengang Chen, Feicui Wang, Jinya Liu, Bingxu Hu. Trajectory analysis of agricultural lands occupation and its decoupling relationships with the growth rate of non-agricultural GDP in the Jing-Jin-Tang region, China. Environment, Development and Sustainability. 2018; 21 (2):799-815.
Chicago/Turabian StyleDongchuan Wang; Mengqin Sang; Yong Huang; Liding Chen; Xiangwang Wei; Wengang Chen; Feicui Wang; Jinya Liu; Bingxu Hu. 2018. "Trajectory analysis of agricultural lands occupation and its decoupling relationships with the growth rate of non-agricultural GDP in the Jing-Jin-Tang region, China." Environment, Development and Sustainability 21, no. 2: 799-815.
To realize sustainable urban development that minimizes environmental impacts, the relationship between urban development intensity and eco-environmental stresses should be clearly revealed. This paper focused on the Bohai Rim coastal area, where cities have experienced significant development in the last decade. An index system was developed to quantify the comprehensive urban development intensity (CDI) and comprehensive eco-environment stresses (CES). Remote sensing imagery and statistical data were used to provide indices for CDI and CES. Spatiotemporal analysis was carried out on the correlation between the two indices. The coupling between the CDI and CES was then investigated to explore the urban development characteristics of each city in the study area, its development level, and the trend of urban development. Results showed that human activities surrounding urban development were partly dependent on the use of ecological resources to a certain degree, and that the degree of dependence increased with year. To promote a sustainable level of urban development, the government should focus on not only the high development intensity, but also the high quality of the eco-environment. Dalian was a good model of how to achieve a balance between the two.
Dongchuan Wang; Wengang Chen; Wei Wei; Broxton W. Bird; Lihui Zhang; Mengqin Sang; Qianqian Wang. Research on the Relationship between Urban Development Intensity and Eco-Environmental Stresses in Bohai Rim Coastal Area, China. Sustainability 2016, 8, 406 .
AMA StyleDongchuan Wang, Wengang Chen, Wei Wei, Broxton W. Bird, Lihui Zhang, Mengqin Sang, Qianqian Wang. Research on the Relationship between Urban Development Intensity and Eco-Environmental Stresses in Bohai Rim Coastal Area, China. Sustainability. 2016; 8 (4):406.
Chicago/Turabian StyleDongchuan Wang; Wengang Chen; Wei Wei; Broxton W. Bird; Lihui Zhang; Mengqin Sang; Qianqian Wang. 2016. "Research on the Relationship between Urban Development Intensity and Eco-Environmental Stresses in Bohai Rim Coastal Area, China." Sustainability 8, no. 4: 406.
Landslides are usually initiated under complex geological conditions. It is of great significance to find out the optimal combination of predisposing factors and create an accurate landslide susceptibility map based on them. In this paper, the Information Value Model was modified to make the Modified Information Value (MIV) Model, and together with GIS (Geographical Information System) and AUC (Area Under Receiver Operating Characteristic Curve) test, 32 factor combinations were evaluated separately, and factor combination group with members Slope, Lithology, Drainage network, Annual precipitation, Faults, Road and Vegetation was selected as the optimal combination group with an accuracy of 95.0%. Based on this group, a landslide susceptibility zonation map was drawn, where the study area was reclassified into five classes, presenting an accurate description of different levels of landslide susceptibility, with 79.41% and 13.67% of the validating field survey landslides falling in the Very High and High zones, respectively, mainly distributed in the south and southeast of the catchment. It showed that MIV model can tackle the problem of “no data in subclass” well, generate the true information value and show real running trend, which performs well in showing the relationship between predisposing factors and landslide occurrence and can be used for preliminary landslide susceptibility assessment in the study area.
Qianqian Wang; Dongchuan Wang; Yong Huang; Zhiheng Wang; Lihui Zhang; Qiaozhen Guo; Wei Chen; Wengang Chen; Mengqin Sang. Landslide Susceptibility Mapping Based on Selected Optimal Combination of Landslide Predisposing Factors in a Large Catchment. Sustainability 2015, 7, 16653 -16669.
AMA StyleQianqian Wang, Dongchuan Wang, Yong Huang, Zhiheng Wang, Lihui Zhang, Qiaozhen Guo, Wei Chen, Wengang Chen, Mengqin Sang. Landslide Susceptibility Mapping Based on Selected Optimal Combination of Landslide Predisposing Factors in a Large Catchment. Sustainability. 2015; 7 (12):16653-16669.
Chicago/Turabian StyleQianqian Wang; Dongchuan Wang; Yong Huang; Zhiheng Wang; Lihui Zhang; Qiaozhen Guo; Wei Chen; Wengang Chen; Mengqin Sang. 2015. "Landslide Susceptibility Mapping Based on Selected Optimal Combination of Landslide Predisposing Factors in a Large Catchment." Sustainability 7, no. 12: 16653-16669.
In the Southwest Mountain areas, successive hydroelectric plant exploitation by humans on Baoxing River can exert a significant impact on regional landscape composition and structure. Taking East Baoxing River Catchment as the study area, the authors developed a method combining Moving Window based Calculation and Spatial Correlation Analysis to analyze the relationship between fragmentation and related spatial factors at a local scale, aiming to examine the spatial distribution rule of the landscape fragmentation and provide scientific support for the conservation of landscape ecology in the study area. From the perspective of the whole study area, although there is no clear relationship between the selected factors and the Change of DIVISION (CODIV), the comparison of R values in the latter interval (2006–2013) with those in the former interval (1999–2006) proves that the human activities of plant building have led to the increase in the DIVISION value. At the local scale, results show that a high positive relationship exists between slope and CODIV (R = 0.857, p-value = 0.05), while the relationship between river distance and CODIV is highly negative (R = −0.837, p-value = 0.01). A medium strong negative relationship lies between elevation and CODIV, while there is almost no linear relationship between distance from Qiaoqi reservoir and CODIV.
Yong Huang; Li Zheng; Dongchuan Wang; Wengang Chen; Qianqian Wang. Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013. Sustainability 2015, 7, 3515 -3527.
AMA StyleYong Huang, Li Zheng, Dongchuan Wang, Wengang Chen, Qianqian Wang. Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013. Sustainability. 2015; 7 (4):3515-3527.
Chicago/Turabian StyleYong Huang; Li Zheng; Dongchuan Wang; Wengang Chen; Qianqian Wang. 2015. "Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013." Sustainability 7, no. 4: 3515-3527.
Human-induced land use/cover change has been considered to be one of the most important parts of global environmental changes. In loess hilly and gully regions, to prevent soil loss and achieve better ecological environments, soil conservation measures have been taken during the past decades. The main objective of this study is to quantify the spatio-temporal variability of land use/cover change spatial patterns and make preliminary estimation of the role of human activity in the environmental change in Xihe watershed, Gansu Province, China. To achieve this objective, the methodology was developed in two different aspects, that is, (1) analysis of change patterns by binary image of change trajectories overlaid with different natural geographic factors, in which Relative Change Intensity (RCI) metric was established and used to make comparisons, and (2) analysis based on pattern metrics of main trajectories in the study area. Multi-source and multi-temporal Remote Sensing (RS) images (including Landsat ETM+ (30 June 2001), SPOT imagery (21 November 2003 and 5 May 2008) and CBERS02 CCD (5 June 2006)) were used due to the constraints of the availability of remotely sensed data. First, they were used to extract land use/cover types of each time node by object-oriented classification method. Classification results were then utilized in the trajectory analysis of land use/cover changes through the given four time nodes. Trajectories at every pixel were acquired to trace the history of land use/cover change for every location in the study area. Landscape metrics of trajectories were then analyzed to detect the change characteristics in time and space through the given time series. Analysis showed that most land use/cover changes were caused by human activities, most of which, under the direction of local government, had mainly led to virtuous change on the ecological environments. While, on the contrary, about one quarter of human-induced changes were vicious ones. Analysis through overlaying binary image of change trajectories with natural factors can efficiently show the spatio-temporal distribution characteristics of land use/cover change patterns. It is found that in the study area RCI of land use/cover changes is related to the distance to the river line. And there is a certain correlation between RCI and slope grades. However, no obvious correlation exists between RCI and aspect grades.
Dongchuan Wang; Jianhua Gong; Liding Chen; Lihui Zhang; Yiquan Song; Yujuan Yue. Spatio-temporal pattern analysis of land use/cover change trajectories in Xihe watershed. International Journal of Applied Earth Observation and Geoinformation 2012, 14, 12 -21.
AMA StyleDongchuan Wang, Jianhua Gong, Liding Chen, Lihui Zhang, Yiquan Song, Yujuan Yue. Spatio-temporal pattern analysis of land use/cover change trajectories in Xihe watershed. International Journal of Applied Earth Observation and Geoinformation. 2012; 14 (1):12-21.
Chicago/Turabian StyleDongchuan Wang; Jianhua Gong; Liding Chen; Lihui Zhang; Yiquan Song; Yujuan Yue. 2012. "Spatio-temporal pattern analysis of land use/cover change trajectories in Xihe watershed." International Journal of Applied Earth Observation and Geoinformation 14, no. 1: 12-21.
The Wenchuan earthquake-induced geological hazards, such as rock falls, landslides, and debris flows, caused as much damage as the earthquake itself. In the complicated environment of the disaster area, seldom can a single remotely sensed imagery and a single classification method meet the needs of the interpretation task. In this paper, taking the Beichuan area as an example, the hierarchical stripping classification (HSC) framework, supported by human–computer interactive interpretation, was applied to tackle the problems caused by the earthquake, as well as the local complicated landform and weather environments. Different classification tools were used to detect specific objects under the HSC framework. Multi-source and multi-temporal data from satellite remote sensors (mainly CBERS-02B charge-coupled device and HR images), unmanned aerial vehicles (UAV), digital elevation model, and other auxiliary sources were utilized to detect the distribution of geological hazards. The classification results were compared with that of an overall supervised classification. The results show that the HSC framework and the related methods are effective and work well in the study area.
Jianhua Gong; Dongchuan Wang; Yi Li; Lihui Zhang; Yujuan Yue; Jieping Zhou; Yiquan Song. Earthquake-induced geological hazards detection under hierarchical stripping classification framework in the Beichuan area. Landslides 2010, 7, 181 -189.
AMA StyleJianhua Gong, Dongchuan Wang, Yi Li, Lihui Zhang, Yujuan Yue, Jieping Zhou, Yiquan Song. Earthquake-induced geological hazards detection under hierarchical stripping classification framework in the Beichuan area. Landslides. 2010; 7 (2):181-189.
Chicago/Turabian StyleJianhua Gong; Dongchuan Wang; Yi Li; Lihui Zhang; Yujuan Yue; Jieping Zhou; Yiquan Song. 2010. "Earthquake-induced geological hazards detection under hierarchical stripping classification framework in the Beichuan area." Landslides 7, no. 2: 181-189.