Hydrologic modeling is a popular tool for estimating the hydrological response of a watershed. However, modeling processes are becoming more complex due to land-use changes such as urbanization, industrialization, and...Hydrologic modeling is a popular tool for estimating the hydrological response of a watershed. However, modeling processes are becoming more complex due to land-use changes such as urbanization, industrialization, and the expansion of agricultural activities. The primary goal of the research was to use the HEC-HMS model to evaluate the impact of impervious soil layers and the increase in rainfall-runoff processes on hydrologic processes. For these purposes, the Watershed Modelling System (WMS) and Hydrologic Engineering Center’s-Hydrologic Modeling System (HEC-HMS) models were used in this study to simulate the rainfall-runoff process. To compute runoff rate, runoff volume, base flow, and flow routing methods SCS curve number, SCS unit hydrograph, recession, and loss routing methods were selected for the research, respectively. To reduce the processing time and computational complexity, a small section of the Pipestem Creek Watershed was selected to understand the methods and concepts associated with the hydrologic simulation model building. A DEM along with other required data such as land use land cover data, soil type data, and meteorological data was utilized to delineate the watershed in WMS. The output of WMS was utilized to run the HEC-HMS model for five different scenario analyses. All the relevant data were plugged in to the model to get the desired map. Subsequently, outlets at appropriate locations were selected for the sub-basin delineation for further analysis. Finally, the model was parametrized to get successful simulation results. Overall, peak discharges and runoff volumes were increased with increasing storm depths and impervious areas. Peak discharges were increased to 36% and 51% when rainfall depths were increased by 10% and 20% from the initial rainfall depth, respectively. Runoff volumes were also increased to 35% and 49% for the same scenarios, respectively. Peak discharges were increased to 12% and 78% with a 10% and 20%, respectively, increase in impervious areas. The runoff volumes were increased by 12% and 76% when impervious areas were increased by 10% and 20%, respectively. The simulation models responded well, and the peak discharges and runoff volumes increased with increasing storm depths and impervious areas.展开更多
Man-made impervious areas map is of great demand in environmen-tal and urbanization studies since impervious areas are considered as a key indication of urbanization,especially for circumpolar Arctic.However,to date,f...Man-made impervious areas map is of great demand in environmen-tal and urbanization studies since impervious areas are considered as a key indication of urbanization,especially for circumpolar Arctic.However,to date,finer resolution and spatially continuous imper-vious areas information remains scarce in the Arctic.In this study,we developed an accurate and complete circumpolar Arctic Man-made impervious areas(CAMI)map at a resolution of 10 m by combining Sentinel-1 C-band Synthetic Aperture Radar,Sentinel-2 multispectral images,OpenStreetMap,and ArcticDEM via Google Earth Engine platform.A random forest classifier model was trained and used to generate corresponding impervious areas map for the year 2020.The evaluation results suggested that CAMI was the most accurate with an overall accuracy of 86.36%and kappa coefficient of 70.73%as against the three existing impervious areas products.Based on the generated map and OpenStreetMap,we estimated that total imper-vious areas area in the Arctic has achieved 807.80 km2,of which roads,industrial and resident land were three major land use types,accounting for 54.08%,17.85%and 10.34%,respectively.The CAMI map will support for new application and provide advanced insight into the infrastructure vulnerability evaluation and environmental sustainability in the Arctic.展开更多
Recent research has underscored the critical need for high-level global products to support comprehensive environmental monitoring and management[1],aligning closely with the objectives of the United Nations'Susta...Recent research has underscored the critical need for high-level global products to support comprehensive environmental monitoring and management[1],aligning closely with the objectives of the United Nations'Sustainable Development Goals(SDGs),particularly SDG 11.This goal focuses on transforming cities into inclusive,safe,resilient,and sustainable spaces.Understanding the relationship between urban expansion and population growth is essential for advancing sustainable urban development.However,the SDG11.3.1 indicator,despite having a clear evaluation method(the Ratio of Land Consumption Rate to Population Growth Rate(LCRPGR)),currently faces a significant challenge because of the lack of available data[2].This data gap hinders the comprehensive and effective measurement of urban land use efficiency,impacting the sustainable management of urban expansion.Therefore,there is an urgent need to acquire precise global-scale information on urban spatial distributions to address the data shortfall for the SDG 11.3.1 indicator and to facilitate improvements in the methods for expanding and monitoring this indicator.This process will assist in comprehensively assessing and managing the economic,social,and environmental impacts of urbanization,thereby supporting the objectives involved in sustainable urban development[3].展开更多
The change of impervious surface area(ISA) can effectively reveal the gradual process of urbanization and act as a key index for monitoring urban expansion. Experiencing rapid growth of the built environment in the 20...The change of impervious surface area(ISA) can effectively reveal the gradual process of urbanization and act as a key index for monitoring urban expansion. Experiencing rapid growth of the built environment in the 2000 s, urban expansion of Beijing has not been fully characterized through ISA. In this study, Landsat TM images of Beijing in 2001 and 2009 were obtained, and the eight-year urban expansion process in Beijing was analyzed using the ISA extracted by means of the vegetation-imperious surface-soil(V-I-S) model. From the spatial variation in ISA, the ring structure of urban expansion in Beijing was significant during the study period, with decreasing urban density from the city center to the periphery. In the ring road analysis, the most dramatic changes of ISA were found between the fifth ring and the sixth ring. This area has experienced the most new residential development, and is currently the main source of urban expansion. The typical profile lines revealed the directional characteristics of urban expansion. The east-west profile was the most urbanized axes in Beijing, while ISA change in the east-north profile was more significant than in the other five profiles. Moreover, the transition matrix of ISA levels revealed an increase in urban density in the low density built areas; the Moran′s I index showed a clear expansion of the central urban area, which spread contiguously; and the standard deviational ellipse indicated the northeast was the dominant direction of urban expansion. These findings can provide important spatial control guidelines in the next round of national economic and social development planning, overall urban and rural planning, and land use planning.展开更多
Using more than three million Landsat satellite images,this research developed the first global impervious surface area(GISA)dataset from 1972 to 2019.Based on 120,777 independent and random reference sites from 270 c...Using more than three million Landsat satellite images,this research developed the first global impervious surface area(GISA)dataset from 1972 to 2019.Based on 120,777 independent and random reference sites from 270 cities all over the world,the omission error,commission error,and F-score of GISA are 5.16%,0.82%,and 0.954,respectively.Compared to the existing global datasets,the merits of GISA include:(1)It provided the global ISA maps before the year of 1985,and showed the longest time span(1972–2019)and the highest accuracy(in terms of a large number of randomly selected and third-party validation sample sets);(2)it presented a new global ISA mapping method including a semi-automatic global sample collection,a locally adaptive classification strategy,and a spatio-temporal post-processing procedure;and(3)it extracted ISA from the whole global land area(not from an urban mask)and hence reduced the underestimation.Moreover,on the basis of GISA,the long time series global urban expansion pattern(GUEP)has been calculated for the first time,and the pattern of continents and representative countries were analyzed.The two new datasets(GISA and GUEP)produced in this study can contribute to further understanding on the human’s utilization and reformation to nature during the past half century,and can be freely download from http://irsip.whu.edu.cn/resources/dataweb.php.展开更多
Urban land cover has major impacts on a city＇s ecosystem services and the inherent quality of its urban residential environment. The spatio-temporal distribution of impervious surface area and green areas in Chinese ...Urban land cover has major impacts on a city＇s ecosystem services and the inherent quality of its urban residential environment. The spatio-temporal distribution of impervious surface area and green areas in Chinese cities has exhibited a significantly marked difference in comparison with USA cities. This study focused on monitoring and comparing the spatio-temporal dynamics, land cover patterns and characteristics of functional regions in six Chinese （n=3） and USA （n=3） cities. The study data were collated from Landsat TM/MSS imagery during the period 1978-2010. Results indicate that Chinese cities have developed compactly over the past three decades, while development has been notably dispersed among USA cities. Mean vegetation coverage in USA cities is approximately 2.2 times that found amongst Chinese urban agglomerations. Land use types within Chinese cities are significantly more complex, with a higher density of impervious surface area. Conversely, the central business district （CBD） and residential areas within USA cities were compdsed of a lower proportion of impervious surface area and a higher proportion of green land. Results may be used to contribute to future urban planning and administration efforts in both China and the USA.展开更多
Impervious surface area(ISA)is an important parameter for many environmental or socioeconomic relevant studies.The unique characteristics of remote sensing data made it the primary data source for ISA mapping at vario...Impervious surface area(ISA)is an important parameter for many environmental or socioeconomic relevant studies.The unique characteristics of remote sensing data made it the primary data source for ISA mapping at various scales.This paper summarizes general ISA mapping procedure and major techniques and discusses impacts of scale issues on selection of remote sensing data and corresponding algorithms.Previous studies have indicated that ISA mapping remains a challenge,especially in urban–rural frontiers and in covering a large area.Effectively employing rich spatial information in high spatial resolution imagery through texture and objectbased methods is valuable.Data fusion of multi-resolution images and spectral mixture analysis are common approaches to reduce the mixed pixel problem in medium spatial resolution images such as Landsat.Coarse spatial resolution images such as MODIS and DMSP-OLS are valuable for national and global ISA mapping but more research is needed to effectively integrate multisource/scale data for improving mapping performance.Development of an optimal procedure corresponding to specific study areas and purposes is required to generate accurate ISA mapping results.展开更多
China’s urbanization has attracted a lot of attention due to its unprecedented pace and intensity in terms of land,population,and economic impact.However,due to the lack of consistent and harmonized data,little is kn...China’s urbanization has attracted a lot of attention due to its unprecedented pace and intensity in terms of land,population,and economic impact.However,due to the lack of consistent and harmonized data,little is known about the patterns and dynamics of the interaction between these different aspects over the past few decades.Along with the implementation of the 2030 Agenda for Sustainable Development,a standardized dataset for assessing the sustainability of urbanization in China is needed.In this paper,we used remote sensing data from multiple sources(time-series of Landsat and Sentinel images)to map the impervious surface area(ISA)at five-year intervals from 1990 to 2015 and then converted the results into a standardized dataset of the built-up area for 433 Chinese cities with 300,000 inhabitants or more.This dataset was produced following the well-established rules adopted by the United Nations(UN).Validation of the ISA maps in urban areas based on the visual interpretation of Google Earth images showed that the average overall accuracy(OA),producer’s accuracy(PA)and user’s accuracy(UA)were 91.24%,92.58%and 89.65%,respec-tively.Comparisons with other existing urban built-up area datasets derived from the National Bureau of Statistics of China,the World Bank and UN-habitat indicated that our dataset,namely the stan-dardized urban built-up area dataset for China(SUBAD-China),provides an improved description of the spatiotemporal character-istics of the urbanization process and is especially applicable to a combined analysis of the spatial and socio-economic domains in urban areas.Potential applications of this dataset include combin-ing the spatial expansion and demographic information provided by UN to calculate sustainable development indicators such as SDG 11.3.1.The dataset could also be used in other multidimensional syntheses related to the study of urbanization in China.展开更多
文摘Hydrologic modeling is a popular tool for estimating the hydrological response of a watershed. However, modeling processes are becoming more complex due to land-use changes such as urbanization, industrialization, and the expansion of agricultural activities. The primary goal of the research was to use the HEC-HMS model to evaluate the impact of impervious soil layers and the increase in rainfall-runoff processes on hydrologic processes. For these purposes, the Watershed Modelling System (WMS) and Hydrologic Engineering Center’s-Hydrologic Modeling System (HEC-HMS) models were used in this study to simulate the rainfall-runoff process. To compute runoff rate, runoff volume, base flow, and flow routing methods SCS curve number, SCS unit hydrograph, recession, and loss routing methods were selected for the research, respectively. To reduce the processing time and computational complexity, a small section of the Pipestem Creek Watershed was selected to understand the methods and concepts associated with the hydrologic simulation model building. A DEM along with other required data such as land use land cover data, soil type data, and meteorological data was utilized to delineate the watershed in WMS. The output of WMS was utilized to run the HEC-HMS model for five different scenario analyses. All the relevant data were plugged in to the model to get the desired map. Subsequently, outlets at appropriate locations were selected for the sub-basin delineation for further analysis. Finally, the model was parametrized to get successful simulation results. Overall, peak discharges and runoff volumes were increased with increasing storm depths and impervious areas. Peak discharges were increased to 36% and 51% when rainfall depths were increased by 10% and 20% from the initial rainfall depth, respectively. Runoff volumes were also increased to 35% and 49% for the same scenarios, respectively. Peak discharges were increased to 12% and 78% with a 10% and 20%, respectively, increase in impervious areas. The runoff volumes were increased by 12% and 76% when impervious areas were increased by 10% and 20%, respectively. The simulation models responded well, and the peak discharges and runoff volumes increased with increasing storm depths and impervious areas.
基金the National Key R&D Program of China[2018YFC1407103 and 2017YFA0604401]Annual Report(2022)on Remote Sensing Monitoring of Global Ecosystems and Environment[TC210E01B].
文摘Man-made impervious areas map is of great demand in environmen-tal and urbanization studies since impervious areas are considered as a key indication of urbanization,especially for circumpolar Arctic.However,to date,finer resolution and spatially continuous imper-vious areas information remains scarce in the Arctic.In this study,we developed an accurate and complete circumpolar Arctic Man-made impervious areas(CAMI)map at a resolution of 10 m by combining Sentinel-1 C-band Synthetic Aperture Radar,Sentinel-2 multispectral images,OpenStreetMap,and ArcticDEM via Google Earth Engine platform.A random forest classifier model was trained and used to generate corresponding impervious areas map for the year 2020.The evaluation results suggested that CAMI was the most accurate with an overall accuracy of 86.36%and kappa coefficient of 70.73%as against the three existing impervious areas products.Based on the generated map and OpenStreetMap,we estimated that total imper-vious areas area in the Arctic has achieved 807.80 km2,of which roads,industrial and resident land were three major land use types,accounting for 54.08%,17.85%and 10.34%,respectively.The CAMI map will support for new application and provide advanced insight into the infrastructure vulnerability evaluation and environmental sustainability in the Arctic.
基金supported by the National Natural Science Foundation of China(42171291 and 42361144884)the Innovative Research Program of the International Research Center of Big Data for Sustainable Development Goals(CBAS2022IRP04)Joint HKU-CAS Laboratory for iEarth(313GJHZ2022074MI,E4F3050300)。
文摘Recent research has underscored the critical need for high-level global products to support comprehensive environmental monitoring and management[1],aligning closely with the objectives of the United Nations'Sustainable Development Goals(SDGs),particularly SDG 11.This goal focuses on transforming cities into inclusive,safe,resilient,and sustainable spaces.Understanding the relationship between urban expansion and population growth is essential for advancing sustainable urban development.However,the SDG11.3.1 indicator,despite having a clear evaluation method(the Ratio of Land Consumption Rate to Population Growth Rate(LCRPGR)),currently faces a significant challenge because of the lack of available data[2].This data gap hinders the comprehensive and effective measurement of urban land use efficiency,impacting the sustainable management of urban expansion.Therefore,there is an urgent need to acquire precise global-scale information on urban spatial distributions to address the data shortfall for the SDG 11.3.1 indicator and to facilitate improvements in the methods for expanding and monitoring this indicator.This process will assist in comprehensively assessing and managing the economic,social,and environmental impacts of urbanization,thereby supporting the objectives involved in sustainable urban development[3].
基金Under the auspices of Key Project of National Natural Science Foundation of China(No.41130534)
文摘The change of impervious surface area(ISA) can effectively reveal the gradual process of urbanization and act as a key index for monitoring urban expansion. Experiencing rapid growth of the built environment in the 2000 s, urban expansion of Beijing has not been fully characterized through ISA. In this study, Landsat TM images of Beijing in 2001 and 2009 were obtained, and the eight-year urban expansion process in Beijing was analyzed using the ISA extracted by means of the vegetation-imperious surface-soil(V-I-S) model. From the spatial variation in ISA, the ring structure of urban expansion in Beijing was significant during the study period, with decreasing urban density from the city center to the periphery. In the ring road analysis, the most dramatic changes of ISA were found between the fifth ring and the sixth ring. This area has experienced the most new residential development, and is currently the main source of urban expansion. The typical profile lines revealed the directional characteristics of urban expansion. The east-west profile was the most urbanized axes in Beijing, while ISA change in the east-north profile was more significant than in the other five profiles. Moreover, the transition matrix of ISA levels revealed an increase in urban density in the low density built areas; the Moran′s I index showed a clear expansion of the central urban area, which spread contiguously; and the standard deviational ellipse indicated the northeast was the dominant direction of urban expansion. These findings can provide important spatial control guidelines in the next round of national economic and social development planning, overall urban and rural planning, and land use planning.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.42071311,41771360&41971295).
文摘Using more than three million Landsat satellite images,this research developed the first global impervious surface area(GISA)dataset from 1972 to 2019.Based on 120,777 independent and random reference sites from 270 cities all over the world,the omission error,commission error,and F-score of GISA are 5.16%,0.82%,and 0.954,respectively.Compared to the existing global datasets,the merits of GISA include:(1)It provided the global ISA maps before the year of 1985,and showed the longest time span(1972–2019)and the highest accuracy(in terms of a large number of randomly selected and third-party validation sample sets);(2)it presented a new global ISA mapping method including a semi-automatic global sample collection,a locally adaptive classification strategy,and a spatio-temporal post-processing procedure;and(3)it extracted ISA from the whole global land area(not from an urban mask)and hence reduced the underestimation.Moreover,on the basis of GISA,the long time series global urban expansion pattern(GUEP)has been calculated for the first time,and the pattern of continents and representative countries were analyzed.The two new datasets(GISA and GUEP)produced in this study can contribute to further understanding on the human’s utilization and reformation to nature during the past half century,and can be freely download from http://irsip.whu.edu.cn/resources/dataweb.php.
基金National Natural Science Foundation of China, No.41371408 National High-Tech R＆D Program of China, No.2013AA122802+2 种基金 National Basic Research Program of China, No.2010CB950900 No.2014CB954302 National Key Technology R＆D Program, No.2012BAJ15B02
文摘Urban land cover has major impacts on a city＇s ecosystem services and the inherent quality of its urban residential environment. The spatio-temporal distribution of impervious surface area and green areas in Chinese cities has exhibited a significantly marked difference in comparison with USA cities. This study focused on monitoring and comparing the spatio-temporal dynamics, land cover patterns and characteristics of functional regions in six Chinese （n=3） and USA （n=3） cities. The study data were collated from Landsat TM/MSS imagery during the period 1978-2010. Results indicate that Chinese cities have developed compactly over the past three decades, while development has been notably dispersed among USA cities. Mean vegetation coverage in USA cities is approximately 2.2 times that found amongst Chinese urban agglomerations. Land use types within Chinese cities are significantly more complex, with a higher density of impervious surface area. Conversely, the central business district （CBD） and residential areas within USA cities were compdsed of a lower proportion of impervious surface area and a higher proportion of green land. Results may be used to contribute to future urban planning and administration efforts in both China and the USA.
基金The authors acknowledge supports from the Zhejiang A&F University’s Research and Development Fund-talent startup project(2013FR052)Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration,School of Environmental and Resource Sciences,Zhejiang A&F University and Center for Global Change and Earth Observations,Michigan State University.
文摘Impervious surface area(ISA)is an important parameter for many environmental or socioeconomic relevant studies.The unique characteristics of remote sensing data made it the primary data source for ISA mapping at various scales.This paper summarizes general ISA mapping procedure and major techniques and discusses impacts of scale issues on selection of remote sensing data and corresponding algorithms.Previous studies have indicated that ISA mapping remains a challenge,especially in urban–rural frontiers and in covering a large area.Effectively employing rich spatial information in high spatial resolution imagery through texture and objectbased methods is valuable.Data fusion of multi-resolution images and spectral mixture analysis are common approaches to reduce the mixed pixel problem in medium spatial resolution images such as Landsat.Coarse spatial resolution images such as MODIS and DMSP-OLS are valuable for national and global ISA mapping but more research is needed to effectively integrate multisource/scale data for improving mapping performance.Development of an optimal procedure corresponding to specific study areas and purposes is required to generate accurate ISA mapping results.
基金funded by the Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19030104,XDA19090121]the Key Research and Development Projects of Hainan Province[ZDYF2019008].
文摘China’s urbanization has attracted a lot of attention due to its unprecedented pace and intensity in terms of land,population,and economic impact.However,due to the lack of consistent and harmonized data,little is known about the patterns and dynamics of the interaction between these different aspects over the past few decades.Along with the implementation of the 2030 Agenda for Sustainable Development,a standardized dataset for assessing the sustainability of urbanization in China is needed.In this paper,we used remote sensing data from multiple sources(time-series of Landsat and Sentinel images)to map the impervious surface area(ISA)at five-year intervals from 1990 to 2015 and then converted the results into a standardized dataset of the built-up area for 433 Chinese cities with 300,000 inhabitants or more.This dataset was produced following the well-established rules adopted by the United Nations(UN).Validation of the ISA maps in urban areas based on the visual interpretation of Google Earth images showed that the average overall accuracy(OA),producer’s accuracy(PA)and user’s accuracy(UA)were 91.24%,92.58%and 89.65%,respec-tively.Comparisons with other existing urban built-up area datasets derived from the National Bureau of Statistics of China,the World Bank and UN-habitat indicated that our dataset,namely the stan-dardized urban built-up area dataset for China(SUBAD-China),provides an improved description of the spatiotemporal character-istics of the urbanization process and is especially applicable to a combined analysis of the spatial and socio-economic domains in urban areas.Potential applications of this dataset include combin-ing the spatial expansion and demographic information provided by UN to calculate sustainable development indicators such as SDG 11.3.1.The dataset could also be used in other multidimensional syntheses related to the study of urbanization in China.
