Jinan Survey Bureau of Hydrology and Water Resources

Jinan, China

Jinan Survey Bureau of Hydrology and Water Resources

Jinan, China

Time filter

Source Type

Zhao C.S.,Beijing Normal University | Yang S.T.,Beijing Normal University | Xiang H.,Jinan Survey Bureau of Hydrology and Water Resources | Liu C.M.,Beijing Normal University | And 7 more authors.
Journal of Hydrology | Year: 2015

Aquatic ecological rehabilitation is attracting increasing public and research attention, but without knowledge of the responses of aquatic species to their habitats the success of habitat restoration is uncertain. Thus efficient study of species response to habitat, through which to prioritize the habitat factors influencing aquatic ecosystems, is highly important. However many current models have too high requirement for assemblage information and have great bias in results due to consideration of only the species' attribute of presence/absence, abundance or biomass, thus hindering the wider utility of these models. This paper, using fish as a case, presents a framework for identification of high-priority habitat factors based on the responses of aquatic species to their habitats, using presence/absence, abundance and biomass data. This framework consists of four newly developed sub-models aiming to determine weightings for the evaluation of species' contributions to their communities, to quantitatively calculate an integrated habitat suitability index for multi-species based on habitat factors, to assess the suitable probability of habitat factors and to assess the rehabilitation priority of habitat factors. The framework closely links hydrologic, physical and chemical habitat factors to fish assemblage attributes drawn from monitoring datasets on hydrology, water quality and fish assemblages at a total of 144 sites, where 5084 fish were sampled and tested. Breakpoint identification techniques based on curvature in cumulated dominance along with a newly developed weighting calculation model based on theory of mass systems were used to help identify the dominant fish, based on which the presence and abundance of multiple fish were normalized to estimate the integrated habitat suitability index along gradients of various factors, based on their variation with principal habitat factors. Then, the appropriate probability of every principal habitat factor was estimated and graded, and the priority of habitat factors for rehabilitation was determined. Application of the model to Jinan City, a pilot city for the construction of a civilized and ecological city in China, proved effective, revealing that carbonate is the poorest habitat factor and has the highest priority for ecological rehabilitation. This was tested using two methods: alternative priority models and a dataset of all habitat factors in place of only the principal habitat factors. We also found that hydrological factors have higher priority than the water quality factors at the levels of both the whole city and its subordinate eco-regions and therefore that hydrological factors deserve special attention in the future ecosystem rehabilitation. Further, the current habitat state makes nearly half of the habitats in Jinan City undesirable for fish communities, largely due to long-term agricultural practices. Spatially, rivers in the mountainous region south of Jinan city and adjacent to the urban area and rivers in the agricultural region north of the city should be emphasized in future habitat rehabilitation. All of these findings have substantial ramifications for the rehabilitation of aquatic ecosystems in Jinan City as a reference for river ecological remediation in rivers with scarce ecological data worldwide. © 2015 Elsevier B.V.


Yu S.,Beijing Normal University | Xu Z.,Beijing Normal University | Xu Z.,Joint Center for Global Changes Studies | Liu X.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research | And 2 more authors.
Journal of Hydrology | Year: 2015

Freshwater ecoregion is currently widely used by biologists, conservators and resource managers. Most of ecoregion delineations are developed at the basin scale and are not fully adapted in a practical manner because operational water resources management is primarily conducted by political administrative departments. In this study, an ecoregion delineation framework was proposed to classify three-level ecoregions in Jinan City with geographic information systems and cluster analysis. The first level ecoregion was composed of three watersheds (a part of the Yellow River, Xiaoqing River and Tuhaimajia River) plus the urban area, which was primarily determined on the basis of the city administrative divisions and river watersheds. The classification of the second level ecoregion is primarily based on the spatial heterogeneity of land use. The third level ecoregion was delineated for each second level ecoregion by using the cluster analysis on water quality. At the same time, administrative boundaries were used to rectify the boundaries of each ecoregion in this study to facilitate the administration of each ecoregion. Furthermore, ecological health assessment (IBI) based on fish communities were employed to validate the freshwater ecoregion. The results demonstrated that 73.3% of ecoregions were in line with the distribution of fish IBI, indicating that the freshwater ecoregions are acceptable for future water resources management. © 2015 Elsevier B.V.


Zhao C.S.,Beijing Normal University | Yang S.T.,Beijing Normal University | Liu C.M.,Beijing Normal University | Dou T.W.,Jinan Survey Bureau of Hydrology and Water Resources | And 9 more authors.
Journal of Hydrology | Year: 2015

Aquatic ecological rehabilitation is increasingly attracting considerable public and research attention. An effective method that requires less data and expertise would help in the assessment of rehabilitation potential and in the monitoring of rehabilitation activities as complicated theories and excessive data requirements on assemblage information make many current assessment models expensive and limit their wide use. This paper presents an assessment model for restoration potential which successfully links hydrologic, physical and chemical habitat factors to fish assemblage attributes drawn from monitoring datasets on hydrology, water quality and fish assemblages at a total of 144 sites, where 5084 fish were sampled and tested. In this model three newly developed sub-models, integrated habitat index (. IHSI), integrated ecological niche breadth (. INB) and integrated ecological niche overlap (. INO), are established to study spatial heterogeneity of the restoration potential of fish assemblages based on gradient methods of habitat suitability index and ecological niche models. To reduce uncertainties in the model, as many fish species as possible, including important native fish, were selected as dominant species with monitoring occurring over several seasons to comprehensively select key habitat factors. Furthermore, a detrended correspondence analysis (DCA) was employed prior to a canonical correspondence analysis (CCA) of the data to avoid the "arc effect" in the selection of key habitat factors. Application of the model to data collected at Jinan City, China proved effective reveals that three lower potential regions that should be targeted in future aquatic ecosystem rehabilitation programs. They were well validated by the distribution of two habitat parameters: river width and transparency. River width positively influenced and transparency negatively influenced fish assemblages. The model can be applied for monitoring the effects of fish assemblage restoration. This has large ramifications for the restoration of aquatic ecosystems and spatial heterogeneity of fish assemblages all over the world. © 2015 Elsevier B.V.


Zhao C.S.,Beijing Normal University | Zhao C.S.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research | Liu C.M.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research | Liu C.M.,Beijing Normal University | And 4 more authors.
Water Science and Technology: Water Supply | Year: 2013

A new approach by combining bioindicators (BiI) and biotic indices (BIs) for evaluating water quality is presented in this paper. It is then applied to the Huai River Basin (HRB), China, which is well-known globally for its heavy anthropogenic influences. Results indicate that the spatial distribution of BI-indicated water quality has roughly the same pattern as that shown by BiI, but the pollution level using BI was, on average, greater than that by BiI; the northern plain area has a degraded water quality (ranging from 'a-mesosaprobic' to 'a-polysaprobic' in a wet season) while the southern mountain area and the southern part of the East Line of the South-North Water Transfer Project has a better water quality ('β-mesosaprobic'). Water quality is worse in the dry season than in the wet season. We concluded that zoobenthos and zooplankton are more reliable indicators of water quality; biological indices are more sensitive to water quality but less reliable than BiI. These results will be of use in the ecological restoration of the Huai River and benefit water resource management in HRB in the future.© IWA Publishing 2013 Water Science and Technology: Water Supply.

Loading Jinan Survey Bureau of Hydrology and Water Resources collaborators
Loading Jinan Survey Bureau of Hydrology and Water Resources collaborators