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| 1 | Disturbance impacts of land use change on biodiversity conservation priority areas across China: 1990-2010显示文摘Land use change is one of the main drivers of biodiversity loss. In the last 20 years, China's land use pattern has undergone profound changes. This study constructs an Ecosystem Comprehensive Anthropogenic Disturbance Index(ECADI) to assess disturbance impacts of land use change between 1990 and 2010 on biodiversity conservation priority areas at national and regional scales. Four levels of biodiversity conservation areas were categorized: generally important areas, moderately important areas, important areas, and very important areas. The results indicated a higher ECADI value in 2010 in Central and Eastern China than in Western China, and the values of the moderately important, important and very important regions were lower than the average value of the whole country at all levels. Notably, in recent 20 years, the change extent of ECADI values in Central and Eastern China were much greater compared with that in Western China, and ECADI values in the moderately important, important and very important biodiversity conservation areas all showed increasing trends, with the increasing extent lower than that of whole China at all levels. Due to human activities such as urbanization in Eastern China and cropland reclamation in Northeast China and Xinjiang, ECADI values showed a medium increase trend(the change rate was about 1%–5% in 10 years), which indicated the need for more conservation efforts in those regions. However, ECADI values in the Loess Plateau presented a low decline trend(the change rate was about –1% to –0.1% in 10 years) after 2000 because of the obvious effectiveness of Green for Grain Project. Furthermore, the variation was negligible in the Tibetan Plateau. | ZHAO Guosong LIU Jiyuan KUANG Wenhui OUYANG Zhiyun XIE Zhenglei | 2015 | Journal of Geographical Sciences2015，25，5： | 26 |
| 2 | Analysis of boundary adjustments and land use policy change – A case study of Tianjin Palaeocoast and Wetland National Natural Reserve, China显示文摘 | Zhenglei Xie Lifen Xu Xiaofeng Duan Xuegong Xu | 2011 | Ocean and Coastal Management2011，，： | 1 |
| 3 | Contaminations of Heavy Metals in Surface Soils of Various Lands and Their Health Risks in Tianjin Qilihai Ancient Lagoon Wetlands,China显示文摘A total of 36 surface soil profiles were set at the wetlands in Qilihai Ancient Lagoon Wetlands,Tianjin,the surface soils of 0-20 cm depth were sampled at various use types of lands to provide information on the concentrations of heavy metals in the coastal wetlands.Total concentrations of arsenic(As),cadmium(Cd),copper(Cu),lead(Pb),chromium(Cr)and zinc(Zn)were determined using inductively coupled plasma atomic absorption spectrometry(ICP-AES)to address the pollution levels in the sampling sites.The results showed that the concentrations of Cd,Cu in the soils disturbed by human activities intensively,the Phragmites australis marshes,the farmland,the brushes decreased in turn;among the sites,the concentrations of As,Cd and Cu were the highest in the soil of build-up areas,while the concentrations of Pb and Zn were the higher in the soil of farmland.The mean concentrations of Cu,Cr,Cd,Pb,Zn and As in the soils of 0-20 cm depth were 38.74 mg/kg,83.52 mg/kg,0.19 mg/kg,34.27 mg/kg,121.7 mg/kg and 18.77 mg/kg,respectively.The contamination indices of As were on the high pollution level in the soils of farmland and disturbed by human activities intensively;the concentrations of Cd in the soils of the marshes and farmland were at the moderate pollution level,while that in the soil disturbed by human activities intensively was at high pollution level.The values of comprehensive contamination index demonstrated that the variation of As contents was the maximum in the soils,Cd pollution reached to a high level.Geoaccumulation index showed that As pollution was at moderate level,and Cd,Cu and Zn pollution were at slight level,and the Pb and Cr pollution wasn't found in the build-up areas. | XIANG Lixiong XIE Zhenglei DU Zebing JIANG Yinghui XIE Chao LONG Ting | 2016 | 湿地科学2016，14，5： | 0 |
| 4 | UCAV situation assessment method based on C-LSHADE-Means and SAE-LVQ显示文摘The unmanned combat aerial vehicle(UCAV)is a research hot issue in the world,and the situation assessment is an important part of it.To overcome shortcomings of the existing situation assessment methods,such as low accuracy and strong dependence on prior knowledge,a datadriven situation assessment method is proposed.The clustering and classification are combined,the former is used to mine situational knowledge,and the latter is used to realize rapid assessment.Angle evaluation factor and distance evaluation factor are proposed to transform multi-dimensional air combat information into two-dimensional features.A convolution success-history based adaptive differential evolution with linear population size reduc-tion-means(C-LSHADE-Means)algorithm is proposed.The convolutional pooling layer is used to compress the size of data and preserve the distribution characteristics.The LSHADE algorithm is used to initialize the center of the mean clustering,which over-comes the defect of initialization sensitivity.Comparing experi-ment with the seven clustering algorithms is done on the UCI data set,through four clustering indexes,and it proves that the method proposed in this paper has better clustering performance.A situation assessment model based on stacked autoen-coder and learning vector quantization(SAE-LVQ)network is constructed,and it uses SAE to reconstruct air combat data fea-tures,and uses the self-competition layer of the LVQ to achieve efficient classification.Compared with the five kinds of assess-ments models,the SAE-LVQ model has the highest accuracy.Finally,three kinds of confrontation processes from air combat maneuvering instrumentation(ACMI)are selected,and the model in this paper is used for situation assessment.The assessment results are in line with the actual situation. | XIE Lei TANG Shangqin WEI Zhenglei XUAN Yongbo WANG Xiaofei | 2023 | Journal of Systems Engineering and Electronics2023，34，5： | 0 |
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