scholarly journals Multi-spatiotemporal patterns of aerosol optical depth and influencing factors during 2000–2020 from two spatial perspectives: The entire Yellow River Basin region and its urban agglomerations

2022 ◽  
Vol 106 ◽  
pp. 102643
Author(s):  
Yurong Zheng ◽  
Xuhong Wang ◽  
Xiu Zhang ◽  
Guigui Hu
Keyword(s):  
Aerosol Optical Depth ◽  
Influencing Factors ◽  
River Basin ◽  
Optical Depth ◽  
Yellow River ◽  
Yellow River Basin ◽  
Spatiotemporal Patterns ◽  
Urban Agglomerations ◽  
Basin Region

scholarly journals Comparison of MODIS- and CALIPSO-Derived Temporal Aerosol Optical Depth over Yellow River Basin (China) from 2007 to 2015

2020 ◽  
Vol 4 (3) ◽  
pp. 535-550
Author(s):  
Ziyue Zhang ◽  
Miao Zhang ◽  
Muhammad Bilal ◽  
Bo Su ◽  
Chun Zhang ◽  
...  
Keyword(s):  
Aerosol Optical Depth ◽  
River Basin ◽  
Optical Depth ◽  
Yellow River ◽  
Yellow River Basin ◽  
Temporal And Spatial Distribution ◽  
Deep Blue ◽  
Modis Aod ◽  
The Difference ◽  
The Government

Abstract In this study, Collection 6.1 (C6.1) of different aerosol optical depth (AOD) products of different spatial resolutions were used from the aqua moderate resolution imaging spectroradiometer (MODIS) including dark target (DT), deep blue (DB), deep blue (DB), and DT-DB (DTB). These products were compared with cloud-aerosol lidar, and infrared pathfinder satellite observation (CALIPSO) AOD retrievals over the Yellow River Basin (YERB), China from 2003 to 2017. The YERB was divided into three sub-regions, namely YERB1 (the mountainous terrain in the upper reaches of the YERB), YERB2 (the Loess Plateau region in the middle reaches of the YERB), and YERB3 (the plain region downstream of the YERB). Errors and agreement between MODIS and CALIPSO data were reported using Pearson’s correlation (R) and relative mean bias (RMB). Results showed that the CALIPSO whole layers AOD (AODS) were better matched with MODIS AOD than the CALIPSO lowest layer AOD (AOD1). The time series of AOD shows higher values in spring and summer, and a small difference in AOD products was observed in autumn. The overall average value of CALIPSO AOD and MODIS AOD both fitted the order: YERB3 > YERB2 > YERB1. The CALIPSO AOD retrievals have the best consistency with the DTB10K and the lowest consistency with DT3K. Overall, the regional distributions of the CALIPSO AOD and MODIS AOD are significantly different over the YERB, and the difference is closely related to the season, region, and topography. This study can help researchers understand the difference of aerosol temporal and spatial distribution utilizing different satellite products over YERB, and also can provide data and technical support for the government in atmospheric environmental governance over YERB.

scholarly journals Evaluation of the Aqua-MODIS C6 and C6.1 Aerosol Optical Depth Products in the Yellow River Basin, China

Atmosphere ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 426 ◽  
Author(s):  
Miao Zhang ◽  
Jing Liu ◽  
Wei Li ◽  
Muhammad Bilal ◽  
Feifei Zhao ◽  
...  
Keyword(s):  
Aerosol Optical Depth ◽  
River Basin ◽  
Optical Depth ◽  
Yellow River ◽  
Water System ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Mountain Areas ◽  
Distribution Maps ◽  
The Yellow River Basin

In this study, Aqua-Moderate Resolution Imaging Spectroradiometer (MODIS) Collection (C6) and C6.1 Dark Target aerosol optical depth (AOD) retrievals at 3 km (DT3K) and 10 km (DT10K), Deep Blue AOD retrievals at 10 km (DB10K), and combined DT and DB (DTB) AOD retrievals at 10 km resolutions were validated from 2002 to 2014 against ground-based sunphotometer AOD measurements obtained from the Chinese aerosol remote sensing network (CARSNET). The CARSNET AOD data were obtained for sites at Mt. Waliguan (MW), Lanzhou (LZ), Ulate (UL), and Zhengzhou (ZZ) located in the Yellow River basin (YERB) region, China. Errors and agreement between satellite and ground data were reported using Pearson’s correlation (R) and relative mean bias (RMB). Results showed that the DT3K C6.1 highest quality flag (QF = 3) AOD retrievals were well correlated with the sunphotometer AOD data, with an R of 0.82 and an RMB of 1.01. Overestimation and underestimation in DT AOD retrievals were observed for AOD > 1.1 and AOD < 1.1, respectively. A significant underestimation of 37% in DB10K AOD retrievals was observed across all the sites except ZZ, which was indicated by a low-value RMB (0.63). Spatial distribution maps showed high AOD values (>0.8) over the lower part of the YERB and low AOD values (<0.4) across the upstream part of the YERB. This might be due to a large number of aerosol emissions over the lower developed areas and a scarcity of aerosols over the upstream mountain areas. Overall, this study supports the use of DT10K C6.1 AOD retrievals over the western semi-arid and arid regions of the YERB and DTB10K AOD retrievals over the north-central water system and eastern plain regions of the YERB.

scholarly journals Research on the coordination degree of ecological protection and high-quality development of urban agglomerations in the Yellow River Basin

2021 ◽  
Vol 271 ◽  
pp. 02008
Author(s):  
Jinhui Zhao ◽  
Yunlong Bai ◽  
Chao Zhang ◽  
Jiawei He ◽  
Siyuan Li
Keyword(s):  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Variation Method ◽  
The Yellow River ◽  
Quality Development ◽  
High Quality ◽  
Urban Agglomerations ◽  
Ecological Protection ◽  
The Yellow River Basin

The Yellow River Basin is ecologically fragile, the relationship between water and sand is unbalanced and water resources are scarce. This paper takes the urban agglomerations in the Yellow River Basin as the research object, based on the guidelines for the coordinated promotion of ecological protection and high-quality development in the basin, and uses the entropy weight method and the coefficient of variation method as the means to establish a quantitative evaluation system for coordinated development. The degree of synergy is between ecological protection and high-quality development of the urban agglomerations from the time dimension and the space dimension, and we give the optimization directions. The results show that the degree of synergy among urban agglomerations in the river basin is steadily increasing, but there are significant spatial differences in the degree of coordination of ecological protection and high-quality development of the urban agglomerations and the development index of its subsystems. The degree of synergy generally presents a cascade distribution pattern that gradually decreases from east to west and from downstream to upstream. The ecological destruction, economic fluctuations and water waste of the river basin urban agglomeration are the main factors hindering the improvement of synergy.

scholarly journals Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin

2021 ◽  
Vol 18 (19) ◽  
pp. 10231
Author(s):  
Yu Chen ◽  
Xuyang Su ◽  
Qian Zhou
Keyword(s):  
Influencing Factors ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Indicator System ◽  
Theil Index ◽  
The Yellow River ◽  
Urban Resilience ◽  
The Yellow River Basin ◽  
The Impact

The outbreak of COVID-19 has prompted consideration of the importance of urban resilience. Based on a multidimensional perspective, the authors of this paper established a comprehensive evaluation indicator system for evaluating urban resilience in the Yellow River basin (YRB), and various methods such as the entropy value method, Theil index, exploratory spatial data analysis (ESDA) model, and geographical detector model were used to measure the spatiotemporal characteristics and influencing factors of urban resilience in the YRB from 2011 to 2018. The results are as follows. (1) From 2011 to 2018, the urban resilience index (URI) of the YRB showed a “V”-shaped dynamic evolution in the time series, and the URI increased by 13.4% overall. The resilience of each subsystem showed the following hierarchical structure: economic resilience > social resilience > ecological resilience > infrastructure resilience. (2) The URI of the three major regions—upstream, midstream, and downstream—increased, and the resilience of each subsystem in the region showed obvious regional characteristics. The comprehensive difference in URI values within the basin was found to be shrinking, and intraregional differences have contributed most to the comprehensive difference. (3) There were obvious zonal differences in the URI from 2011 to 2018. Shandong Peninsula and Hohhot–Baotou–Ordos showed a “High–High” agglomeration, while the southern and southwestern regions showed a “Low–Low” agglomeration. (4) Among the humanist and social factors, economic, fiscal, market, urbanization, openness, and innovation were found to be the factors that exert a high impact on the URI, while the impacts of natural factors were found to be low. The impact of the interaction of each factor is greater than that of a single factor.

scholarly journals What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?

2020 ◽  
Vol 12 (6) ◽  
pp. 2488 ◽  
Author(s):  
Luping Shi ◽  
Zhongyao Cai ◽  
Xuhui Ding ◽  
Rong Di ◽  
Qianqian Xiao
Keyword(s):  
Influencing Factors ◽  
River Basin ◽  
Environmental Governance ◽  
Yellow River ◽  
Generalized Method Of Moments ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Urbanization Level ◽  
New Type ◽  
The Yellow River Basin

Promoting new-type urbanization with the concept of green development has become an inevitable requirement for high-quality development in the Yellow River Basin. Grasping the development trend and influencing factors of green urbanization level in the Yellow River Basin is of great significance for implementing the international conventions on environmental protection and participating in global environmental governance. This paper selects the green urbanization level panel data of nine provinces in the Yellow River Basin from 2006 to 2018. Then, principal component analysis and factor analysis are applied to measure and evaluate the green urbanization level of each province. Furthermore, this paper constructs a dynamic panel estimation model and uses differential generalized method of moments (DIF-GMM) model and system generalized method of moments (SYS-GMM) model to explore the influencing factors. The results show that the overall level of green urbanization in the Yellow River Basin has steadily and rapidly increased, and there are significant spatial differences. The green urbanization level of eastern provinces is significantly higher than that of central and western provinces. In addition, the overall level of green urbanization shows a convergence trend. From the perspective of influencing factors, the factors that have significant positive effects on the level of green urbanization include economic development level, technological innovation level, and urban size. Industrial structure, foreign direct investment (FDI), and education level counteract the level of green urbanization. However, environmental regulation strength and opening degree fail to pass the significance test. Therefore, it is necessary to promote and upgrade industrial transformation, improve the quality of opening up, and strengthen cooperation in technological innovation and environmental governance. There are requirements that the government control the urban size and population scientifically and implement the environmental access system strictly in order to improve the level of green urbanization in the Yellow River Basin. It is more possible to achieve harmonious economic and ecological environment development.

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