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| 1 | A fundamental theorem for eco-environmental surface modelling and its applications显示文摘We propose a fundamental theorem for eco-environmental surface modelling(FTEEM) in order to apply it into the fields of ecology and environmental science more easily after the fundamental theorem for Earth’s surface system modeling(FTESM). The Beijing-Tianjin-Hebei(BTH) region is taken as a case area to conduct empirical studies of algorithms for spatial upscaling, spatial downscaling, spatial interpolation, data fusion and model-data assimilation, which are based on high accuracy surface modelling(HASM), corresponding with corollaries of FTEEM. The case studies demonstrate how eco-environmental surface modelling is substantially improved when both extrinsic and intrinsic information are used along with an appropriate method of HASM. Compared with classic algorithms, the HASM-based algorithm for spatial upscaling reduced the root-meansquare error of the BTH elevation surface by 9 m. The HASM-based algorithm for spatial downscaling reduced the relative error of future scenarios of annual mean temperature by 16%. The HASM-based algorithm for spatial interpolation reduced the relative error of change trend of annual mean precipitation by 0.2%. The HASM-based algorithm for data fusion reduced the relative error of change trend of annual mean temperature by 70%. The HASM-based algorithm for model-data assimilation reduced the relative error of carbon stocks by 40%. We propose five theoretical challenges and three application problems of HASM that need to be addressed to improve FTEEM. | Tianxiang YUE Na ZHAO Yu LIU Yifu WANG Bin ZHANG Zhengping DU Zemeng FAN Wenjiao SHI Chuanfa CHEN Mingwei ZHAO Dunjiang SONG Shihai WANG Yinjun SONG Changqing YAN Qiquan LI Xiaofang SUN Lili ZHANG Yongzhong TIAN Wei WANG Ying’an WANG Shengnan MA Hongsheng HUANG Yimin LU Qing WANG Chenliang WANG Yuzhu WANG Ming LU Wei ZHOU Yi LIU Xiaozhe YIN Zong WANG Zhengyi BAO Miaomiao ZHAO Yapeng ZHAO Yimeng JIAO Ufra NASEER Bin FAN Saibo LI Yang YANG John PWILSON | 2020 | Science China Earth Sciences2020，63，8： | 7 |
| 2 | Thermosensitive phase behavior and drug release of in situ N-isopropylacrylamide copolymer显示文摘 | Saibo Chen Hui Zhong Bin Gu Yinzhu Wang Xiaomo Li Zhipeng Cheng Lili Zhang Cheng Yao | 2012 | Materials Science & Engineering C2012，，8： | 1 |
| 3 | N-carboxymethyl chitosan/sodium alginate composite hydrogel loading plasmid DNA as a promising gene activated matrix for in-situ burn wound treatment显示文摘Improving the degree of vascularization through the regulation of wound microenvironment is crucial for wound repair.Gene activated matrix(GAM)technology provides a new approach for skin regeneration.It is a local gene delivery system that can not only maintain a moist environment,but also increase the concentration of local active factors.For this purpose,we fabricated the mVEGF165/TGF-β1 gene-loaded N-carboxymethyl chitosan/sodium alginate hydrogel and studied its effect on promoting deep second degree burn wound repair.The average diameter of the hydrogel pores was 100μm and the porosity was calculated as 50.9%.SEM and CLSM images showed that the hydrogel was suitable for cell adhesion and growth.The NS-GAM could maintain continuous expression for at least 9 days in vitro,showing long-term gene release and expression effect.Deep second-degree burn wound model was made on the backs of Wistar rats to evaluate the healing effect.The wounds were healed by day 22 in NS-GAM group with the prolonged high expression of VEGF and TGF-β1 protein.A high degree of neovascularization and high expression level of CD34 were observed in NS-GAM group in 21 days.The histological results showed that NS-GAM had good tissue safety and could effectively promote epithelialization and collagen regeneration.These results indicated that the NS-GAM could be applied as a promising local gene delivery system for the repair of deep second-degree burn wounds. | Litong Wang Le Sun Zhiyang Gu Wenya Li Lili Guo Saibo Ma Lan Guo Wangwang Zhang Baoqin Han Jing Chang | 2022 | Bioactive Materials2022，7，9： | 1 |
| 4 | A four-band index for both liquid and solid water and its applications in the Aral Sea Basin显示文摘Various investigations have been conducted to analyze the water-coverage area of the Aral Sea and the Aral Sea Basin(ASB). However, the investigations incorporated considerable uncertainty and the used water indices had misclassification problem, which made different research groups present different results. Thus we first ascertain the boundaries of the ASB, the Syr and Amu river basins as well as their upper, middle and lower reaches. Then a four-band index for both liquid and solid water(ILSW) is proposed to address the misclassification problems of the classic water indices. ILSW is calculated by using the reflectance values of the green, red, near infrared, and thermal infrared bands, which combines the normalized difference water index(NDWI) and land surface temperature(LST) together. Validation results show that the ILSW water index has the highest accuracy by far in the Aral Sea Basin. Our results indicate that annual average decline of the water-coverage area was 963 km^(2) in the southern Aral Sea, whereas the northern Aral Sea has experienced little change. In the meanwhile, permanent ice and snow in upper reach of ASB has retreated considerably. Annual retreating rates of the permanent ice and snow were respectively 6233and 3841 km^(2) in upper reaches of Amu river basin(UARB) and Syr river basin(USRB). One of major reasons is that climate has become warmer in ASB. The climate change has caused serious water deficit problem. The water deficit had an increasing trend since the 1990s and its increasing rates was 3.778 billion m^(3) yearly on average. The total water deficit was 76.967 billion m^(3) on average in the whole area of ASB in the 2010s. However, up reaches of Syr river basin(USRB), a component area of ASB, had water surplus of 25.461 billion m^(3). These conclusions are useful for setting out a sustainable development strategy in ASB. | Bing YUE Xi CHEN Saibo LI Zhengping DU John WILSON Junhui YANG Yimen JIAO Shuangyan HUANG Chenghu ZHOU | 2024 | Science China Earth Sciences2024，67，3： | 0 |
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