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Featured researches published by Yibo Zhang.


Water Research | 2018

Optical properties and composition changes in chromophoric dissolved organic matter along trophic gradients: Implications for monitoring and assessing lake eutrophication

Yunlin Zhang; Yongqiang Zhou; Kun Shi; Boqiang Qin; Xiaolong Yao; Yibo Zhang

Chromophoric dissolved organic matter (CDOM) is an important optically active substance in aquatic environments and plays a key role in light attenuation and in the carbon, nitrogen and phosphorus biogeochemical cycles. Although the optical properties, abundance, sources, cycles, compositions and remote sensing estimations of CDOM have been widely reported in different aquatic environments, little is known about the optical properties and composition changes in CDOM along trophic gradients. Therefore, we collected 821 samples from 22 lakes along a trophic gradient (oligotrophic to eutrophic) in China from 2004 to 2015 and determined the CDOM spectral absorption and nutrient concentrations. The total nitrogen (TN), total phosphorus (TP), and chlorophyll a (Chla) concentrations and the Secchi disk depth (SDD) ranged from 0.02 to 24.75 mg/L, 0.002-3.471 mg/L, 0.03-882.66 μg/L, and 0.05-17.30 m, respectively. The trophic state index (TSI) ranged from 1.55 to 98.91 and covered different trophic states, from oligotrophic to hyper-eutrophic. The CDOM absorption coefficient at 254 nm (a(254)) ranged from 1.68 to 92.65 m-1. Additionally, the CDOM sources and composition parameters, including the spectral slope and relative molecular size value, exhibited a substantial variability from the oligotrophic level to other trophic levels. The natural logarithm value of the CDOM absorption, lna(254), is highly linearly correlated with the TSI (r2 = 0.92, p < .001, n = 821). Oligotrophic lakes are distinguished by a(254)<4 m-1, and mesotrophic and eutrophic lakes are classified as 4 ≤ a(254)≤10 and a(254)>10 m-1, respectively. The results suggested that the CDOM absorption coefficient a(254) might be a more sensitive single indicator of the trophic state than TN, TP, Chla and SDD. Therefore, we proposed a CDOM absorption coefficient and determined the threshold for defining the trophic state of a lake. Several advantages of measuring and estimating CDOM, including rapid experimental measurements, potential in situ optical sensor measurements and large-spatial-scale remote sensing estimations, make it superior to traditional TSI techniques for the rapid monitoring and assessment of lake trophic states.


Remote Sensing | 2017

Temporal and Spatial Dynamics of Phytoplankton Primary Production in Lake Taihu Derived from MODIS Data

Yubing Deng; Yunlin Zhang; Deping Li; Kun Shi; Yibo Zhang

We investigated the long-term variations in primary production in Lake Taihu using Moderate Resolution Imaging Spectroradiometer (MODIS) data, based on the Vertically Generalized Production Model (VGPM). We firstly test the applicability of VGPM in Lake Taihu by comparing the results between the model-derived and the in situ results, and the results showed that a strong significant correlation (R2 = 0.753, p autumn > spring > winter, with significantly higher primary production found in summer and autumn than in winter (p < 0.005, t-test), primarily caused by seasonal variations in water temperature. On a monthly scale, the primary production exerts a clear character of bimodality, increasing from January to May, decreasing in June or July, and finally reaching its highest value during August or September. Wind is another important factor that could affect the spatial variations of primary production in the large, eutrophic and shallow Lake Taihu.


Science of The Total Environment | 2019

Thermal stratification dynamics in a large and deep subtropical reservoir revealed by high-frequency buoy data

Miao Liu; Yunlin Zhang; Kun Shi; Guangwei Zhu; Zhixu Wu; Mingliang Liu; Yibo Zhang

We measure the thermal stratification dynamics in Lake Qiandaohu, China, a deep subtropical reservoir, to better understand the mixing mechanism and its response to lake warming. A high-frequency monitoring buoy dataset from February 2016 to October 2017 is used to evaluate variations in the water temperature profile, Schmidt stability (SS) and thermocline parameters, such as the thermocline depth (TD), bottom depth (TB), thickness (TT), and strength (TS), and elucidate the potential effects of thermal stratification on the lakes ecosystem. High-frequency observation data demonstrate that the lakes thermal-stratification cycle can be divided into three stages: formation, stationary and weakening periods. Consequently, a significant positive correlation between the TB and TT during the formation period and a significant negative correlation between the TD and TT are found during the stationary and weakening periods. Additionally, strong positive correlations exist among the TS, TT and SS for all the data. Our data indicated that an increase in the air temperature caused the surface water temperature, TT, TS and SS to increase. Furthermore, thermal stratification affected the vertical distribution of dissolved oxygen and expanded the area of the hypoxic-anoxic zone. The incomplete mixing of the water from December 2016 to February 2017 because of the high air temperature, which was 2.49 °C higher than the mean air temperature of 1966-2015 (6.44 °C), created the hypoxia hypolimnion from March to May 2017. Under the background of global warming, the thermal stratification of Lake Qiandaohu will likely intensify and further significantly affect the lakes ecosystem.


Science of The Total Environment | 2018

Response of dissolved organic matter optical properties to net inflow runoff in a large fluvial plain lake and the connecting channels

Yongqiang Zhou; Xiaolong Yao; Yunlin Zhang; Yibo Zhang; Kun Shi; Xiangming Tang; Boqiang Qin; David C. Podgorski; Justin D. Brookes; Erik Jeppesen

Fluvial plain lake watersheds are usually highly urbanized and have high concentrations of chromophoric dissolved organic matter (CDOM). CDOM derived from the connecting urban channels usually share strong terrestrial and anthropogenic signals and net inflow runoff (Qnet) to the lake serves as a proxy of residential household sewage input. We investigate how Qnet controls the optical characteristics of CDOM in fluvial plain Lake Taihu and the connecting channels. CDOM absorption coefficient a(350), dissolved organic carbon (DOC), the fluorescence intensity (Fmax) of seven PARAFAC components C1-C7, and δ15N-TDN were higher in the northwestern relative to the other lake regions, and a(250)/a(365), spectral slope S275-295, and δ13C-DOM relative low in the northwestern lake, all indicating strong terrestrial and anthropogenic effects. Conversely, the urban land cover (%Cities), gross domestic product (GDP), and population density were relatively low in the western sub-watersheds and high in the eastern sub-watersheds. This apparent paradox reflects variations in Qnet from different sub-watersheds. Thus, significant positive relationships were found between Qnet and a(350), DOC, chemical oxygen demand (COD), chlorophyll-a (Chl-a), Fmax of C1-C3 and C6-C7, and %C2-%C3 in the five hydraulic sub-watersheds. We revealed significant positive relationships between mean a(350), DOC, COD, Chl-a, C1-C3 and C6, %C2-%C3, and the products of Qnet × %Cities, Qnet × GDP, and Qnet × population density. We further found dominant contribution of lignin to the total number of assigned formulas for the samples collected from the channels in the Huxi watershed and the central lake using high resolution mass spectroscopy. We conclude that Qnet is of key importance for the optical properties of CDOM molecules in the various regions of Lake Taihu and the connecting channels.


IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 2016

A Landsat 8 OLI-Based, Semianalytical Model for Estimating the Total Suspended Matter Concentration in the Slightly Turbid Xin’anjiang Reservoir (China)

Yibo Zhang; Yunlin Zhang; Kun Shi; Yong Zha; Yongqiang Zhou; Mingliang Liu


Science of The Total Environment | 2017

Monitoring spatiotemporal variations in nutrients in a large drinking water reservoir and their relationships with hydrological and meteorological conditions based on Landsat 8 imagery

Yuan Li; Yunlin Zhang; Kun Shi; Guangwei Zhu; Yongqiang Zhou; Yibo Zhang; Yulong Guo


Environmental Science and Pollution Research | 2017

Research development, current hotspots, and future directions of water research based on MODIS images: a critical review with a bibliometric analysis

Yibo Zhang; Yunlin Zhang; Kun Shi; Xiaolong Yao


Environmental Pollution | 2017

Potential rainfall-intensity and pH-driven shifts in the apparent fluorescent composition of dissolved organic matter in rainwater☆

Yongqiang Zhou; Xiaolong Yao; Yibo Zhang; Kun Shi; Yunlin Zhang; Erik Jeppesen; Guang Gao; Guangwei Zhu; Boqiang Qin


Journal of Geophysical Research | 2018

Nitrogen Fixation Occurring in Sediments: Contribution to the Nitrogen Budget of Lake Taihu, China

Xiaolong Yao; Lu Zhang; Yunlin Zhang; Bo Zhang; Zhonghua Zhao; Yibo Zhang; Min Li; Xingyu Jiang


Environmental Science and Pollution Research | 2018

Spatiotemporal dynamics of chlorophyll- a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors

Yuan Li; Yunlin Zhang; Kun Shi; Yongqiang Zhou; Yibo Zhang; Xiaohan Liu; Yulong Guo

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Yunlin Zhang

Chinese Academy of Sciences

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Kun Shi

Chinese Academy of Sciences

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Yongqiang Zhou

Chinese Academy of Sciences

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Xiaolong Yao

Chinese Academy of Sciences

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Boqiang Qin

Chinese Academy of Sciences

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Guangwei Zhu

Chinese Academy of Sciences

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Mingliang Liu

Chinese Academy of Sciences

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Yuan Li

Chinese Academy of Sciences

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Yulong Guo

Henan Agricultural University

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