摘要：
以2007～2021年CNKI及Web of Science核心合集数据库共1874篇中英文文献为支撑，采用文献计量可视化方法，针对文献发表的时间分布、机构组成、代表团队、引用期刊、研究热点及技术手段等方面综述了生物炭对土壤性质、入渗和蒸发等水循环要素过程影响的现状研究进展及未来趋势。结果表明，相关研究发文量呈高速增长趋势；研究机构集中在中国科学院、美国农业部和西北农林科技大学等；高引期刊主要包括GEODERMA、CHEMOSPHERE和SCIENCE OF THE TOTAL ENVIRONMENT；研究热点集中在量化生物炭添加对土壤物理和水力学特性要素指标的影响大小，并关注上述影响对入渗和蒸发等水循环过程及其对作物生长和产量的互馈作用；技术手段主要包括实验研究和Meta分析方法两种。未来亟需集成实验数据，关注尺度转换，将不同环境条件下生物炭添加对要素过程的影响，融入水文模型水循环模拟计算模块，完善模型功能。
作者机构：
[Han, Yong; Ni, Ruixing; Deng, Yating] Xinyang Normal Univ, Sch Geog Sci, Xinyang 464000, Peoples R China.;[Zhu, Yuanyuan; Zhu, YY] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
通讯机构：
[Zhu, YY ] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
摘要：
The imbalanced regional development of higher vocational education, particularly the disparity between the supply and demand of educational resources, has emerged as the primary factor impeding the provision of high-quality higher education in China during the establishment of a universal education system. Based on the 1,482 higher vocational education institutions recognized by the Ministry of Education of China in 2021 as the research objects, the development of higher vocational education in China was explored from the perspective of supply and demand using the entropy weight TOPSIS method and coupling coordination degree model. It was found that China's higher vocational institutions were mainly located in provincial capitals, representing a point distribution pattern. From a comprehensive evaluation of the supply level, areas such as the Beijing-Tianjin-Hebei region, Yangtze River Delta, and central Henan Province have become the catchment areas for the development of higher vocational education, laying the foundation for regional network cooperation. From the perspective of educational equality, the higher vocational education in China was found to be sufficient to match the supply and demand, and a balance between supply and demand was apparent in provincial capitals. The coupling degree between supply and demand exhibited an "olive-type" spatial structure pattern, indicating that the development of higher vocational education in most cities in China is still in the transformation stage. The results provide a scientific basis for optimizing resources in the provision of higher vocational education.
作者机构：
[Fu, Yongshuo H.; Xiao, Yi] Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China.;[Hao, Fanghua; Guo, Yahui; Chen, Jiahao; Nie, Xingyu; Li, Xiran; Xu, Yue; Guo, Shihui] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Fu, YH ] B;Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China.
关键词：
High spatial resolution;Optical Satellite;Inland waters;Chlorophyll-a;Suspended sediment;Unmanned aerial vehicle (UAV)
摘要：
In recent decades, phytoplankton proliferation and sediment input to rivers (especially urban rivers) have become more dramatic under the compound pressure of climate change and human activities. Given the generally narrow width of rivers and current high spatial resolution satellites, which are limited by band settings, bandwidth, and the signal-to-noise ratio, UAVs with their exceptional spatiotemporal resolution can be used as a useful tool for river environmental monitoring and inversion uncertainty assessment. In this study, UAV-based hyperspectral (X20P) and multispectral (P4M) images, along with Sentinel-2 MultiSpectral Instrument (MSI), Landsat-8 Operational Land Imager (OLI) and Landsat-9 OLI2 data, were used to assess the uncertainty in retrieving chlorophyll-a (Chla) and suspended sediment (SS) concentrations in rivers. Chla and SS models based on UAV and satellite data were constructed using stepwise multiple regression and typical Chla and SS retrieval algorithms, respectively, and the performance of the models was the focus of our research. The results demonstrated that in the Chla concentration inversion, each sensor performed as follows: X20P > P4M > Landsat9 OLI2 > Sentinel-2 MSI > Landsat8 OLI, and the performance in the SS concentration inversion was as follows: X20P > Sentinel-2 MSI > P4M > Landsat9 OLI2 > Landsat8 OLI. In addition, the uncertainty of high spatial resolution satellite retrievals was analyzed with the assistance of the UAV-based model. Results showed that narrow bandwidths and finely tuned band settings are more essential for the Chla inversion. The typical Chla retrieval algorithm, NDCI, is only effective in certain bands (band 1 from 684 to 724 nm and band 2 from 660 to 680 nm). It is also noted that Landsat8 and Landsat9 lack some key band settings (e.g., the red-edge band of 700-710 nm), severely limiting practical application in relation to Chla. However, specific variances in different sensor bands have a relatively small impact on SS inversion, for example, the correlation between SS and the R/B (a typical SS retrieval algorithm) constructed by each sensor ranged from 0.68 to 0.77. Chla monitoring, on the other hand, necessitates a higher spatial resolution than SS monitoring. The accuracy decreased markedly when UAV images were resampled to 10 m and 30 m spatial resolution. However, it is not as crucial for the SS inversion, images with the original spatial resolution (RMSE<30cm = 6.28 mg/L) were resampled to 10 m resolution (RMSE10m = 5.85 mg/L) and 30 m resolution (RMSE30m = 4.08 mg/L) while using P4M for SS inversion, and the accuracy increased. Our results demonstrated and highlighted various options for future monitoring of Chla and SS, while exploiting the synergy between UAVs and satellites to achieve more precise observations at greater spatial and temporal scales, which will benefit aquatic environment management and protection.
作者机构：
华中师范大学地理过程分析与模拟湖北省重点实验室,武汉430079;华中师范大学城市与环境科学学院,武汉430079;格拉斯哥大学社会与政治科学学院,英国格拉斯哥G128QQ;[敖荣军; 高喆] Hubei Provincial Key Laboratory for Geographical Process Analysis & Simulation, Central China Normal University, Wuhan, 430079, China, College of Urban & Environmental Sciences, Central China Normal University, Wuhan, 430079, China;[李昱霄] School of Social and Political Sciences, University of Glasgow, Glasgow, G128QQ, United Kingdom
通讯机构：
[Ao, R.] H;Hubei Provincial Key Laboratory for Geographical Process Analysis & Simulation, China
作者机构：
[Li, Xiaojing] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Chen, Jing] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
通讯机构：
[Chen, J ] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
关键词：
spatial spillovers;related variety;unrelated variety;regional economic resilience;the middle reaches of the Yangtze River urban agglomeration
摘要：
A growing body of literature has studied the empirical relationship between industrial diversity and economic resilience since the 2008 Great Recession. However, many existing studies are based on a nonspatial perspective, and little is known about the local or global spatial spillover effect of industrial diversity on economic resilience. This paper employs Bayesian spatial econometric methods to investigate the roles of related variety and unrelated variety on economic resilience in the middle reaches of the Yangtze River urban agglomeration, China and explores the possible local or global spatial spillover effect in the diversity-resilience relationship. The empirical results from the spatial Durbin error model estimation show that: (1) regions with high levels of related variety are economically resilient to the external shock in the postcrisis era, whereas unrelated variety has no significant direct effect on recovery resilience; (2) both related and unrelated variety have local spatial spillovers with respect to the one-year resilience of 2008-2009, but these spillovers are negligible in longer study periods. These results confirm the role of industrial relatedness and immediate neighbors in promoting regions' short-run capabilities of recovery from external economic shocks.
作者机构：
[Tian, Lingling; Han, Tingting; Tian, LL; Wang, Hafo; Luo, Jing; Gan, Yilin] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;[Tian, Lingling; Han, Tingting; Tian, LL; Wang, Hafo; Luo, Jing; Gan, Yilin] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Liu, Jianwei] Hubei Tiandiyun Geomat Technol Grp, Wuhan 430010, Peoples R China.
通讯机构：
[Tian, LL ] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
关键词：
value realization of ecological products;capital circulation theory;path research;Zhengjiabang village
摘要：
Transforming ecological products into sources of economic value can help mitigate the tension between environmental conservation and economic growth. Using the capital cycle theory and the unique qualities of eco-friendly items, this study utilizes a case study approach, focusing on Zhengjiabang Village located in Changyang, Hubei Province. Meanwhile, we build a value realization chain of ecological products by combining the practical process of the village. On this basis, we reveal the roles of each subject and object in the evolutionary process, from ecological resources to ecological products. We also identify the key issues of eco-industrial expansion and spatial evolution. Taking the industrialization of ecological capital as the key, we add a step of value feedback to create a cycle of ecological product value realization and strengthen the sustainability of capital and industry. Ultimately, we aim to promote the transformation of ecological environmental advantages into economic advantages, and provide a new concept able to promote the construction of endogenous mechanisms for realizing the value of ecological products in rural areas.
期刊：
IEEE Transactions on Geoscience and Remote Sensing,2023年61:1-14 ISSN：0196-2892
作者机构：
[Xu, Baodong; Zhang, Zhewei; Wei, Haodong; Yang, Jingya; Cai, Zhiwen] Huazhong Agr Univ, Coll Resources & Environm, Macro Agr Res Inst, Wuhan 430070, Peoples R China.;[Wang, Cong] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Zhao, Jing; Li, Jing] Chinese Acad Sci, Jointly Sponsored Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.;[Zhao, Jing; Li, Jing] Beijing Normal Univ, Beijing 100101, Peoples R China.;[Qu, Yonghua] Beijing Normal Univ, Fac Geog Sci, Inst Remote Sensing Sci & Engn, State Key Lab Remote Sensing Sci,Beijing Key Lab, Beijing 100875, Peoples R China.
关键词：
Gaofen satellites;high spatiotemporal resolution;LAINet;leaf area index (LAI);time-series reconstruction
摘要：
High spatiotemporal resolution time series of leaf area index (LAI) are essential for monitoring crop dynamics and validating coarse-resolution LAI products. The optical satellite sensors at decametric resolution have historically suffered from a long revisit cycle and cloud contamination issues that hampered the acquisition of frequent and high-quality observations. The 16-m/four-day resolution of the new-generation Gaofen-1 (GF-1) and Gaofen-6 (GF-6) satellites provide an unprecedented opportunity to address these limitations. Here, we developed an effective strategy to generate daily 16-m LAI maps combining GF-1/6 data and ground LAINet measurements. All high-quality GF-1/6 observations were utilized first to derive smoothed time series of vegetation indices (VIs). Second, a random forest regression (RF-r) model was trained to link the VIs with corresponding field LAI measurements. The trained RF-r was finally employed to generate the LAI maps. Results demonstrated the reliability of the reconstructed daily VIs (relative error (RE) < 1%) and the derived LAI time series, which greatly benefited from GF-1/6 high-frequency observations. The direct comparison with field LAI measurements by LAI-2200/LI-3000 showed the good performance of retrieved LAI maps, with bias, root mean square error (RMSE), and $R^{\mathbf {2}}$ of 0.05, 0.59, and 0.75, respectively. The LAI time series well captured the spatiotemporal variation of crop growth. Furthermore, the continuous GF-1/6 LAI maps outperformed Sentinel-2 LAI estimates both in terms of temporal frequency and accuracy. Our study indicates the potential of GF-1/6 to generate continuous decametric-resolution LAI maps for fine-scale agricultural monitoring.
作者机构：
[Zhao, Yutao; Meng, Ran; Lv, Zhengang; Zhou, Longfei; Zeng, Linglin; Huang, Zehua; Xu, Binyuan] Huazhong Agr Univ, Coll Resources & Environm, Wuhan 430070, Peoples R China.;[Yan, Jianbing; Chen, Gengshen] Huazhong Agr Univ, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China.;[Zhao, Feng] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Yan, Jianbing] Hubei Hongshan Lab, Wuhan 430070, Peoples R China.;[Meng, Ran] HIT Artificial Intelligence Res Inst Co Ltd, Harbin 150000, Peoples R China.
通讯机构：
[Ran Meng] C;College of Resources and Environment, Huazhong Agricultural University, Wuhan, China<&wdkj&>HIT Artificial Intelligence Research Institute Co., Ltd, Harbin, China
摘要：
Southern corn leaf blight (SCLB) seriously threatens corn production. The timely and accurate monitoring of SCLB conditions (e.g., detection during the asymptomatic stage and severity classification during the symptomatic stage) is valuable for precision agriculture, because the application of pesticides depends on disease conditions. Compared with time-consuming and laborious field surveys, spectroscopy is a promising tool for plant disease monitoring. The unique advantages of combining multiple spectral enhancement features for monitoring rice and wheat diseases have been recognized. However, physiological and biochemical differences between maize leaves and rice and wheat leaves, along with the specific spectral response of SCLB, are likely to affect the performance of combining multiple spectral enhancement features. In addition, similar previous studies have not combined spectral slope features, i.e., first-order spectral derivatives (FSDs), with spectral bands (SBs) and spectral indices (SIs) and wavelet features (WFs) to improve plant disease detection. Thus, the performance of a method that combines FSDs, WFs, SBs, and SIs for SCLB asymptomatic detection, symptomatic detection, and symptomatic severity classification should be evaluated further. Here, the utility of combining SBs, SIs, WFs, and FSDs was quantified and evaluated in the asymptomatic detection, symptomatic detection, and symptomatic severity classification of SCLB. Various forms of spectral enhancement features that were sensitive to SCLB infection from the asymptomatic stage to the severe stage were first identified and combined using the RELIEF-F and sequential floating forward selection algorithms on the basis of two independent inoculation experiments. Finally, SCLB asymptomatic detection, symptomatic detection, and symptomatic severity classification models were developed and evaluated using the support vector machine algorithm. Results showed that combining FSDs with SBs, SIs, and WFs achieved the best performance in SCLB spectroscopic monitoring. (1) SCLB asymptomatic detection and symptomatic detection were moderately improved, i.e., overall accuracy (OA) and macro F1 (MF1) improved by similar to 1% to 2%. The OA of SCLB asymptomatic detection was 87.1% with an MF1 of 0.87, and that of symptomatic detection was 93.1% with an MF1 of 0.93. (2) SCLB symptomatic severity classification was significantly improved, i.e., OA and MF1 improved by similar to 7%. The OA of severity classification was 81.8% with am MF1 of 0.82. This study demonstrated that the complementary relationships among SBs, SIs, WFs, and FSDs could effectively improve SCLB spectroscopic monitoring. The proposed method provides a novel tool for large-scale SCLB spectroscopic monitoring. It has broad implications for assisting management decisions (i.e., when and where to apply pesticides and how much to apply) in precision agriculture.
期刊：
E3S Web of Conferences,2023年437 ISSN：2267-1242
作者机构：
Institute for Advanced Studies, University of Malaya, 50603 Kuala Lumpur, Malaysia;School of Environment Art, Hubei Institute of Fine Arts, 430205 Wuhan, Hubei, China;College of Urban and Environmental Sciences, Central China Normal University, 430079 Wuhan, Hubei, China
摘要：
Vacant and abandoned spaces were increasingly recognised as a major obstacle to urban revitalisation. How to intervene sustainably in urban void areas became a challenge. This paper presented a new theoretical framework for sustainable operation and design by reflecting and innovating on existing studies through a literature review and classification. The framework for sustainable operation planning included operational theme and promotion, management and maintenance, effective resource utilisation and sustainable digital technology. The framework for sustainable environment design included function and layout, ecosystem management, construction material and art design aesthetic. In the context of the sustainability framework, one urban void area in the northern part of the 19th Middle School in Wuhan was selected as the case study area. This case was based on secondary data collection, field research, virtual 3D modelling and computer rendering. The aim was to achieve sustainable and synergistic economic, social and environmental development by activating urban void areas. The results found that the theoretical framework of sustainability had positive implications for operation and design. The scientific and practical value of the planning and design could be enhanced by fully considering the logic of sustainable operation. In addition, the innovative concepts of the sustainable framework provided a theoretical and practical basis for filling the research gap of interventions in the urban void area.
关键词：
Ice albedo;data harmonization;spatial window size;validation;arctic and alpine;Google Earth Engine
摘要：
Albedo plays a key role in regulating the absorption of solar radiation within ice surfaces and hence strongly regulates the production of meltwater. A combination of Landsat and Sentinel 2 data provides the longest continuous medium resolution (10-30 m) earth surface observatory records. An albedo product (harmonized satellite albedo, hereafter HSA) has already been developed and validated for the Greenland Ice Sheet (GrIS), using harmonized Landsat 4-8 and Sentinel 2 datasets. In this paper, the HSA was validated for various Arctic and alpine glaciers and ice caps using in situ measurements. We determine the optimal spatial window size in point-to-pixel analysis, the best practices in evaluating remote sensing algorithms with groundtruth data, and cross sensor comparison of the Landsat 9 (L9) and Landsat 8 (L8) data. The impact of the spatial window size on measured ice surface homogeneity and albedo validation was analysed at both local and regional scales. Homogeneity statistics calculated from the grey-level co-occurrence matrix (GLCM) suggest that the ice surface becomes more homogeneous as the image resolution becomes coarser. The optimal spatial window size was found to be 90 m, based on maximizing the statistical and graphical measures while minimizing the root mean square error and bias. HSAs generally agree closely with in situ albedo measurements (e.g. Pearson's R ranges from 0.68 to 0.92) across various Arctic and alpine glaciers and ice caps. Cross sensor differences between L9 and L8 are minor, and we suggest that no harmonization is necessary to add L9 to our HSA product.
