Research of Urban River Health Assessment Model
Zhang Yuhua,
Han Xiaoyu,
Jin Congcong
Issue:
Volume 5, Issue 4, August 2016
Pages:
47-52
Received:
6 July 2016
Accepted:
15 July 2016
Published:
3 August 2016
Abstract: Urban river health is the important symbol of the sustaining development of a city. Using the comprehensive index assessment method, some indicators were selected to characterize the main features and functions of urban river health to establish a comprehensive model for evaluating urban river health. These indicators included four aspects: landscape environment, natural features, environmental features and socioeconomic. Total of them are 22 indicators. And the evaluation criteria were ascertained. Projection pursuit and variable fuzzy theory method were used to determine the weight of the indicators and the comprehensive assessment model was also built. This thesis discussed the issues of the urban river health situation of Jialu river, an urban river in Zhengzhou city. The evaluation results (0.23, 0.327, 0.245, 0.198) show that the Jialu river is in sub healthy state. Based on the health assessment results of Jialu river and evaluation score of each indicator, the limiting factors were ascertained that affect the urban river health. The calculated results are consistent with the actual situation, which shows the practicability and rationality of the method. The assessment model can provide reference for urban rivers health.
Abstract: Urban river health is the important symbol of the sustaining development of a city. Using the comprehensive index assessment method, some indicators were selected to characterize the main features and functions of urban river health to establish a comprehensive model for evaluating urban river health. These indicators included four aspects: landsca...
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The Retrieve and Data Fusion of the Sea Surface Temperature with FengYun Geostationary Satellite Data
Wang Wei,
Wu Danzhu,
Qu Pin,
Li Yi,
Liu Lili,
Wu Bingui
Issue:
Volume 5, Issue 4, August 2016
Pages:
53-63
Received:
12 July 2016
Accepted:
22 July 2016
Published:
6 August 2016
Abstract: The numerical weather prediction (NWP) model about marine meteorological disasters requires sea surface temperature (SST) data which represents the parameters of marine dynamic process. However, the SST data of high spatial-temporal resolution are scarce in Huang Bohai sea in China. In order to acquire the high resolution SST data, the authors try to retrieve the high resolution SST data in Huang Bohai sea with FY2G-based satellite data. Moreover, the data differences of the satellite retrieval data with both buoys observation SST and NCEP optimal interpolation SST are compared, respectively, in terms of the statistical analysis method. Meanwhile the statistical equations are determined about the satellite retrieval SST with observed SST and of optimal interpolation SST. The equations are referred as a standard of data quality control equations when the differences of the revised values of the statistical equations and satellite inversion are calculated. While the data fusion is done, authors retain the data that the differences of the satellite retrieval SST and the statistical equation are less than 3.0°C. Above method could make that the satellite SST space characteristic information is merged into weekly average optimal interpolation SST data, and it improves SST spatial-temporal resolution in Huang Bohai sea. The work lays a foundation for numerical models using the high resolution SST in Huang Bohai area.
Abstract: The numerical weather prediction (NWP) model about marine meteorological disasters requires sea surface temperature (SST) data which represents the parameters of marine dynamic process. However, the SST data of high spatial-temporal resolution are scarce in Huang Bohai sea in China. In order to acquire the high resolution SST data, the authors try ...
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