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Copyright of Pearl River is the property of Pearl River Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Water Conservancy Science & Techonlogy & Economy is the property of Water Conservancy Science & Technology & Economy Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Pearl River is the property of Pearl River Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Pearl River is the property of Pearl River Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Hydrobiology is the property of Editorial Department of Journal of Hydrobiology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Environmental change has altered the river hydrological health regimes, and consequently affected the ecological health of river. Therefore, it is essential to develop a method to quantitatively analyze the attribution of river hydrological health evolution. This study selected the typical semi-arid Laohahe River basin in Northern China as a case study area. Observation data were obtained from 3 hydrological stations, 17 rain gauge station and 6 meteorological stations in the study area. Firstly, the natural streamflow series from 1964 to 2016 was reconstructed using the observations and the Variable Infiltration Capacity (VIC) model. After that, the level of river hydrological health (H) was assessed based on the ecological flow threshold, which was calculated by probability density curve. Finally, the ‘simulated-observed’ comparison method was adapted to quantify the effect of climate changes and human activities on the river hydrological health. Results showed that human activities were the major factors that have caused river hydrological health deterioration since 1980 in Dianzi and Taipingzhuang sub-basins, which accounted for 86.9% and 87.9%, respectively. Widespread agricultural irrigation and reservoir operation were the two crucial reasons that caused the alterations of natural hydrological regime, which further led to the river ecological destruction over Laohahe River basin. Whereas, increasing rainfall in 1990s had a significant effect on maintaining river hydrological health because the large amount of rainfall helped reduce the human activities influence. The case study demonstrates that the attribution of river hydrological health evolution can be quantitatively described based on ecological-flow threshold and ‘simulated-observed’ comparison method, which will provide scientific basis for river ecology protection and water resource management under changing environment. [ABSTRACT FROM AUTHOR]

In order to solve the problem that the traditional data management platform is difficult to make management decisions on river system quickly and comprehensively, it is of great significance to construct a big data platform of river system by using big data technology. This paper discussed the big data platform from three aspects of the characteristic of big data of river system, the structure of big data platform of river system and the realization of big data platform of river system. It put forward the platform constructed by Hadoop-based framework, driven by information integration model, river health diagnosis model, risk warning model and decision support model and braced by big data of river system. Generally, the paper provides a new idea for the efficient management of river system to realize the diagnosis and risk warning of river health. [ABSTRACT FROM AUTHOR]

From March to December 2017, thirteensampling sites at four rivers in Jiangyin were investigated to construct phytoplanktonic index of biotic integrity (P-IBI), evaluate river health and analyze the correlation between P-IBI and environmental factors. Through the analysis of the degree of human disturbance, the reference sites and damaged sites were divided. The discriminating power analysis and Pearson correlation analysis were conducted on 18 candidate parameters. Finally, five parameters were selected, namely, the percentage of Bacillariophyta, the percentage of Chlorophyta, the percentage of Phormidium, the Shannon-Wiener index and the biomass of phytoplankton. Ratio method was used to get the score of each parameter and the total score of P was obtained after accumulating. The results show that the investigated dominant species of phytoplankton in the river are Oscillatoria, Anabaena and Euglena, eutrophication of water body is severe and water quality is generally poor. P has a high correlation with the river flow velocity, transparency, salinity and conductivity and soil erosion caused by human activities is the main influencing factor of the structure of phytoplankton population structure. P of four rivers is generally consistent with the water quality data. The better the water quality, the higher the P-IBI score. It is feasible to use P-IBI to evaluate river health. [ABSTRACT FROM AUTHOR]

Taking multi-dimensional river health evaluation as the framework, this paper put forward a river health evaluation index system including river literature, hydrochemistry, water ecology, river physical structure and social and economic service function. Since the implementation of analysis and evaluation of “A Key Control Plan of Shiyang River Basin”, the results of the health trends of the river basin show that the vegetation index of the river basin in 2016 compared to 2006 has been significantly improved, the ecological environment of the basin also has been significantly improved; The level of the river health of the basin has been gradually improved and the treatment effect of the basin is remarkable. [ABSTRACT FROM AUTHOR]

Diatom, as a kind of autotrophic photosynthetic eukaryotic algae, is an important primary producer in aquatic ecosystem, and can reflect the average status of water environment. As the bio-indicators of the environment, Nitzschia communis, Navicula minuscula, and Gomphonema parvulum can indicate the eutrophication of waters, whereas Gomphonema angustum, Epithemia adnata, and Diatoma moniliformis can indicate the oligotrophication of waters. Cyclotella bodanica, Neidium affine, and Eunotia exigua are all the eosinophilic species that can indicate waters acidity, Aminutissimum nodusa can indicate water's Cu concentration, and Synedra ulna can indicate the Zn concentration in waters. Some other diatoms can also indicate water's contamination. This paper reviewed the research progress on the applications of diatom and diatom indices in river health assessment, pointed out the related existing problems, and put forward some future research directions, e. g. , further perfect the classification and identification of diatoms, broadly carry out the researches of diatom indices upon different areas and conditions, pay more attention to the screening of diatom bio-integrality indices, and establish a benchmark which suits for the assessment of water quality. [ABSTRACT FROM AUTHOR]