Beijing Hydrologic Center

Beijing, China

Beijing Hydrologic Center

Beijing, China
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Liu X.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research | Dai X.,Chinese Ministry of Water Resources | Zhong Y.,Beijing Hydrologic Center | Li J.,Yellow River Conservancy Commission | Wang P.,Jiangxi Normal University
Theoretical and Applied Climatology | Year: 2013

The Yiluo River is the largest tributary of the middle and lower Yellow River below the Sanmenxia Dam. Hydro-climatic variables have changed in the Yiluo River during the last half century. In this study, the trends in the annual precipitation and streamflow were analyzed in the Yiluo River during 1960-2006. The results indicated that both the annual precipitation and streamflow decreased significantly (P < 0.05) from 1960 to 2006. Pettitt's test shows that there was a change point for annual streamflow series around the year 1986 (P < 0.05), while there was no change point identified for the annual precipitation series from 1960 to 2006. Annual streamflow decreased more significantly than annual precipitation since 1986. The relationship between the annual precipitation and streamflow presented a non-stationary state since 1986. This non-stationary relationship was mainly influenced by human activities. The average annual amount of water diversion from the Yiluo River increased significantly since the mid-1980s, accounting for 31.3 % of the total streamflow decrease from 1986 to 2006. In addition, land use/cover change (LUCC) contributed to 27.1-29.8 % of the decrease in streamflow. Human activities, including water diversion and LUCC, together contributed to 58.4-61.1 % of the decrease in streamflow and led to the non-stationary relationship between the annual precipitation and streamflow from 1986 to 2006. This study detected the changes in the precipitation-streamflow relationship and investigated the possible causes in the Yiluo River, which will be helpful for the understanding of the changes in streamflow in the Yellow River Basin. © 2013 Springer-Verlag Wien.

Han Y.,Beijing Forestry University | Yu X.,Beijing Forestry University | Yang P.,China Agricultural University | Li B.,Beijing Hydrologic Center | And 2 more authors.
Environmental Earth Sciences | Year: 2013

Drought is a great concern in agricultural yield. Super-absorbent polymers (SAPs) can assist in easing water shortage. Therefore, it is significantly important to study the water absorbing and desorbing capacity of SAPs when applied into soil as well as their effective time. The aim of this study was to investigate the effect of different SAP types under the same moisture condition and the effect of the same SAP type under different moisture conditions on saturated soil water content, saturated soil hydraulic conductivity and soil water diffusivity. With SAP application, saturated soil water volumetric content increased significantly, up to 0. 186 cm3 cm-3, while saturated hydraulic conductivity and diffusivity significantly decreased because the soil pores were blocked by SAP's swelling volume during the repeated wetting and drying cycles. After SAPs were mixed in the soil, their capacity of absorbing and desorbing water showed a downward trend with time and outside water condition. Under a relatively stable water condition, such capacity reduced more slowly. As for the soil with SAP application, successful simulation for diffusivity D(θ, T) was also applicable to other parameters of the equation of water movement, which made it possible to study the water movement under the same condition. © 2012 Springer-Verlag.

Liu H.,Jilin University | Liu H.,Jilin Institute of Chemical Technology | Zhang L.,Jilin University | Deng H.,Jilin University | And 2 more authors.
Environmental Monitoring and Assessment | Year: 2011

A multi-media bio-PRB reactor was designed to treat groundwater contaminated with petroleum hydrocarbons. After a 208-day bioremediation, combined with the total petroleum hydrocarbons content in the groundwater flowed through the reactor, microbiological characteristics of the PRB reactor including microbes immobilized and its dehydrogenase activity were investigated. TPH was significantly reduced by as much as 65% in the back of the second media layer, whereas in the third layer, the TPH content reached lower than 1 mg l -1. For microbes immobilized on the media, the variations with depth in different media were significantly the same and the regularity was obvious in the forepart of the media, which increased with depth at first and then reduced gradually, while in the back-end, the microbes almost did not have any variations with depth but decreased with the distance. The dehydrogenase activity varied from 2.98 to 16.16 mg TF L -1 h -1 and its distribution illustrated a similar trend with numbers of microbial cell, therefore, the noticeable correlation was found between them. © Springer Science+Business Media B.V. 2011.

Han Y.,Beijing Forestry University | Li B.,Beijing Hydrologic Center | Kong Q.,Beijing Water Conservancy School | Wang Y.,Beijing Forestry University
Journal of Food, Agriculture and Environment | Year: 2013

Soil moisture sensor is of greater significance for timely irrigation and crop yield increase to use soil moisture sensors to measure soil water content so as to guide irrigation. Due to high cost of the soil moisture sensor, the investment in the irrigation system will necessarily increase and the promotion of the system will be affected if a large number of sensors are buried in different depths at the same soil profile. Therefore, determination of the optimal position for burying soil moisture sensors is quite important for wide application and promotion of the sensors since a general water condition of the whole soil may be obtained by using fewer sensors. In this paper, based on soil moisture data measured during the experiment, an optimal depth for burying soil moisture sensors is analysed for tomato irrigation. The results showed that soil water content in 10-20 cm layer can best reflect the mean soil water content in the designed irrigation layer (R2 is above 0.95 and 0.85 at lowering and fruit bearing stage and fruit stage, respectively). Therefore, 10-20 cm layer is an ideal depth for burying soil moisture sensors.

Chang Y.-M.,Water Resources University | Yang Q.,Water Resources University | Hao C.-B.,Water Resources University | Shang H.-T.,Water Resources University | Jiang T.-S.,Beijing Hydrologic Center
Huanjing Kexue/Environmental Science | Year: 2011

Activated sludge of municipal wastewater treatment plant was domesticated by sulfur as the electron donor under autotrophic. The sludge activity was determined by measuring growth rate of sludge. The removal efficiency of nitrate and sulfate production efficiency were analyzed by continuously measuring the concentration of NO 3 --N and SO 4 2-. When the removal efficiency of nitrate was more than 90%, 16S rRNA genetic libraries were built up to compare their microbial biodiversity. The growth rate of sludge is 0.177 g/(L·d). The relation between concentration of nitrate and time meets first order reaction kinetics. The bacteria in the sludge affiliated with Beta-Proteobacteria, Deta-Proteobacteria, Gamma-Proteobacteria and Unclassified bacteria. Beta-Proteobacteria is the main phylum in the sludge. Bacteria related to Thiobacillus denitrificans from denitrifying bioreactor perform 48.65%. In addition, the bacteria of Denitratisoma sp., Curvibacter sp., Thermomonas sp., Geobacter sp. are existed in the sludge. The study of autotrophic denitrifying bacteria diversity is conducive to optimization of reaction conditions and efficient removal of nitrate.

Li H.,Capital Normal University | Du G.,Capital Normal University | Wu Y.,Beijing Hydrologic Center | Wu D.,Beijing Hydrologic Center | Wang J.,Beijing Miyun Reservoir Management Office
Environmental Engineering and Management Journal | Year: 2011

Our investigation in 2007 revealed that the concentration of microcystin (MC-LR) in Miyun reservoir was 0.224 μg L -1, below the safety limit of surface drinking water in China (1.0 μg L -1). The phytoplankton community in Miyun reservoir was composed of 8 divisions and 84 species (including genera and varieties). The density of phytoplangkton was 393.71×104 cells L -1 including 24.6% of Chlorophyta, 32.5% of Cyanophyta and 15.3% of Bacillariophyta. The toxin-producing cyanobacteria included Microcystis sp., Oscillatoria sp. and Anabaenopsis sp. The MC-LR content was positively correlated with the toxic cyanobacterial density. Total phosphorus (TP), total nitrogen (TN), transparency (SD), COD Mn had reached the level of mesotrophy. Nitrogen source and organic pollution had been on the rise. Correlation analysis and cluster analysis showed that NH 4-N, TP, NO 3-N and TN might affect the biosynthesis of MC-LR directly. Therefore, preventing and controlling water eutrophication is the key to maintain water supply safety in Miyun reservoir.

Han Y.-G.,CAS Research Center for Eco Environmental Sciences | Li X.-Y.,CAS Research Center for Eco Environmental Sciences | Nan Z.,CAS Research Center for Eco Environmental Sciences | Li B.,Beijing Hydrologic Center
Huanjing Kexue/Environmental Science | Year: 2011

Nitrogen input and accumulation caused by human activities potentially influences the regional environment, especially the water environment. This paper introduces the concept of "net anthropogenic nitrogen accumulation", NANA and defines it as the difference between N input and N output caused by human activities, which are estimated from the accumulation in atmospheric N deposition, N fertilizer use, N accumulation of human food and animal feed, N fixation and riverine N accumulation. It is found in the study that NANA in Beijing has a downward trend from 12557 kg·(km2·a)-1 in 2003 to 11606 kg·(km2·a)-1 in 2007, but still 2-5 times that of other countries. The distribution of NANA is closely associated with the population distribution and land use type. The change of NANA is mainly related to the population density and the amount of applied fertilizer. As to the whole Beijing area, atmospheric N deposition is the largest source of N, accounting for 51% of NANA, which is followed by fertilizer use of 37.4% and human food and animal feed of 16.6%. The population density and the amount of applied fertilizer are main factors affecting NANA. The accumulated N is mainly distributed in soil, water system, body of animal and plant as well as the atmosphere. The effect of N on the environment can be effectively prevented by controlling the sources and proliferation of N.

Jiang B.,CAS Research Center for Eco Environmental Sciences | Wong C.P.,Arizona State University | Lu F.,CAS Research Center for Eco Environmental Sciences | Ouyang Z.,CAS Research Center for Eco Environmental Sciences | Wang Y.,Beijing Hydrologic Center
Journal of Hydrology | Year: 2014

In recent decades, the Yongding River in Beijing has ceased to flow due to the impact of climate and anthropogenic factors, which has led to severe environmental degradation. The Beijing government is constructing new freshwater ecosystems on the Yongding River to improve environmental conditions for ecosystem services. Clarification is needed on the influence of precipitation and anthropogenic factors on streamflow decline in Beijing. A hydrological time-series analysis was conducted on recorded streamflow at Guanting Reservoir, Yanchi, and Sanjiadian to estimate the influence of precipitation variability on the drying of the Yongding River in Beijing. From 1980 to 2010, the mean annual rates of streamflow decline were 0.44m3s-1yr-1 (Guanting), 0.42m3s-1yr-1 (Yanchi), and 0.03m3s-1yr-1 (Sanjiadian). The most probable abrupt change-point for annual streamflow was 1999 at Guanting Reservoir and Yanchi, and was 2000 at Sanjiadian. Between the pre-change (1980-1999) and post-change (2000-2010) periods, mean annual streamflow decreased by 68.56% (Guanting), 66.92% (Yanchi), and 96.78% (Sanjiadian). A multiple regression analysis using annual precipitation and streamflow at Guanting, Yanchi, and Sanjiadian showed an insignificant relationship between local precipitation and streamflow in both periods. Next we assessed the potential impact of upstream human activities on downstream flow using: (1) correlation statistics between upstream flow and downstream flow, (2) water abstracted above Sanjiadian, and (3) upstream socioeconomic data. The results suggest upstream human activities are important drivers on downstream flow decline, which could possibly explain the weak relationship between precipitation and streamflow. Further analysis is needed to clarify the influence of upstream water consumption on Guanting Reservoir to advise management on the new freshwater ecosystems along the Yongding River. © 2014 Elsevier B.V.

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