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Worked at State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China
Continual and accelerating declines in hydrological connectivity threaten ecosystem processes, biodiversity, and services throughout the world. Therefore, there is an increasing demand for user-driven tools that assess hydrological connectivity from an effective perspective. We developed the Connectivity Assessment Tool 1.0 (CAST1.0), which takes the threshold behaviors of focal ecological indicators into account, allows quantifying effective hydrological connectivity and its regime shift. We illustrate the use of CAST1.0 for the case of Poyang Lake, China. It was found that the response of effective hydrological connectivity to inundation depth, flow velocity, and water temperature follows a dynamic threshold effect. The evaluation of connected objects based on specific niches provides a valuable metric for recognizing potential habitat patches and links. This study provides a sound basis for assessing hydrological connectivity in a meaningful way, promising to provide novel insights into maintaining and restoring biodiversity and associated ecosystem services around the world.
Zhiqiang Tan; Yunliang Li; Qi Zhang; Xinggen Liu; Yanyan Song; Chenyang Xue; Jianzhong Lu. Assessing effective hydrological connectivity for floodplains with a framework integrating habitat suitability and sediment suspension behavior. Water Research 2021, 201, 117253 .
AMA StyleZhiqiang Tan, Yunliang Li, Qi Zhang, Xinggen Liu, Yanyan Song, Chenyang Xue, Jianzhong Lu. Assessing effective hydrological connectivity for floodplains with a framework integrating habitat suitability and sediment suspension behavior. Water Research. 2021; 201 ():117253.
Chicago/Turabian StyleZhiqiang Tan; Yunliang Li; Qi Zhang; Xinggen Liu; Yanyan Song; Chenyang Xue; Jianzhong Lu. 2021. "Assessing effective hydrological connectivity for floodplains with a framework integrating habitat suitability and sediment suspension behavior." Water Research 201, no. : 117253.
To improve knowledge of this matter, the potential application of two gridded meteorological products (GMPs), the China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) and Climate Forecast System Reanalysis (CFSR), are compared for the first time with data from ground-based meteorological stations over 6 years, from 2008 to 2013, over the Cau River basin (CRB), northern Vietnam. Statistical indicators and the Soil and Water Assessment Tool (SWAT) model are employed to investigate the hydrological performances of the GMPs against the data of 17 rain gauges distributed across the CRB. The results show that there are strong correlations between the temperature reanalysis products in both CMADS and CFSR and those obtained from the ground-based observations (the correlation coefficients range from 0.92 to 0.97). The CFSR data overestimate precipitation (percentage bias approximately 99%) at both daily and monthly scales, whereas the CMADS product performs better, with obvious differences (compared to the ground-based observations) in high-terrain areas. Regarding the simulated river flows, CFSR-SWAT produced “unsatisfactory”, while CMADS-SWAT (R2 > 0.76 and NSE > 0.78) performs better than CFSR-SWAT on the monthly scale. This assessment of the applicative potential of GMPs, especially CMADS, may further provide an additional rapid alternative for water resource research and management in basins with similar hydro-meteorological conditions.
Duy Dao; Jianzhong Lu; Xiaoling Chen; Sameh Kantoush; Doan Binh; Phamchimai Phan; Nguyen Tung. Predicting Tropical Monsoon Hydrology Using CFSR and CMADS Data over the Cau River Basin in Vietnam. Water 2021, 13, 1314 .
AMA StyleDuy Dao, Jianzhong Lu, Xiaoling Chen, Sameh Kantoush, Doan Binh, Phamchimai Phan, Nguyen Tung. Predicting Tropical Monsoon Hydrology Using CFSR and CMADS Data over the Cau River Basin in Vietnam. Water. 2021; 13 (9):1314.
Chicago/Turabian StyleDuy Dao; Jianzhong Lu; Xiaoling Chen; Sameh Kantoush; Doan Binh; Phamchimai Phan; Nguyen Tung. 2021. "Predicting Tropical Monsoon Hydrology Using CFSR and CMADS Data over the Cau River Basin in Vietnam." Water 13, no. 9: 1314.
Backflow from river to lake (BRL) usually happens in inland lakes and affects water exchange, matter migration, and variations in the water quality and eco-environment. However, at present, discharge data derived from hydrological stations are the only way to monitor BRL, and the influence scope of BRL has not been monitored through hydrological stations. To address this problem, we propose a novel algorithm to monitor BRL using satellite images of Poyang Lake (the largest freshwater lake in China). The following results were obtained: (1) According to the difference in suspended sediment from rivers and lakes, an algorithm using the total suspended sediment (TSS), which was used as a tracer, was designed for monitoring BRL in Poyang Lake. (2) An innovative extraction method for the mutation line using the TSS was developed to analyze BRL via satellite images. A gradient variation method was developed to extract the mutation line accurately. (3) The satellites with daily acquisition or higher-frequency resolution images (e.g., Moderate-Resolution Imaging Spectroradiometer (MODIS)) were satisfactory for monitoring the characteristics of BRL. The MODIS-derived band combination Rrs(645) − Rrs(859))/(Rrs(555) − Rrs(859) yielded a higher fitting accuracy (R2 = 0.858, RMSE = 10.25 mg/L) derived from an exponential model, which was helpful to highlighting the mutation line. (4) The important parameters of BRL, such as the beginning time, the duration, the end time, and the influence scope, were quantitatively determined by judging the movement of the mutation line. This algorithm was applied to quickly and effectively extract the information of two instances of BRL in Poyang Lake in July 2000 and July to August 2007, and the results were accurate and reasonable. This algorithm can save a great deal on monitoring costs. A BRL monitoring algorithm using remote sensing is an efficient government measure supplement to address the limitations of hydrological stations. These results provide technological support for lake management and can serve as a valuable reference for water bodies similar to Poyang Lake worldwide.
Hui Jiang; Yao Liu; Jianzhong Lu. A New Algorithm for Monitoring Backflow from River to Lake (BRL) Using Satellite Images: A Case of Poyang Lake, China. Water 2021, 13, 1166 .
AMA StyleHui Jiang, Yao Liu, Jianzhong Lu. A New Algorithm for Monitoring Backflow from River to Lake (BRL) Using Satellite Images: A Case of Poyang Lake, China. Water. 2021; 13 (9):1166.
Chicago/Turabian StyleHui Jiang; Yao Liu; Jianzhong Lu. 2021. "A New Algorithm for Monitoring Backflow from River to Lake (BRL) Using Satellite Images: A Case of Poyang Lake, China." Water 13, no. 9: 1166.
Agricultural practices-induced pollution runoff has been widely acknowledged to be a significant source of nutrients fueling cyanobacterial bloom. The impact of topdressing activities on cyanobacterial bloom phenology (key parameters for depicting bloom process), however, has not been verified. Taking Lake Erhai, a typical eutrophic plateau lake, as an example, this study explored the spatio-temporal characteristics of phenological metrics and coverage extent for surface cyanobacterial bloom, based on phycocyanin pigment series retrieved from satellite and investigated the bloom responses to environmental forces. The results showed that higher intensity and earlier onset bloom with a larger coverage extent mainly occurred in the northern region. We identified three distinct cyanobacterial bloom growth patterns with large inter-annual variability in their bloom initiation timing (BIT). The earlier BIT is highly linked to elevated total nitrogen level and decreased wind speed. The bloom amplitude is mainly related to summer TN in 2003–2011, while associated with winter TN/TP ratio (TN, total nitrogen; TP, total phosphorus) during 2016–2019. Additionally, we found direct evidence linking agricultural topdressing and the BIT of a typical autumn bloom. After one week for the topdressing practice, the BITs lagged by approximately average 23 days, coinciding with high rainfall intensity. Our research demonstrates the topdressing activity should be reduced through agricultural planting adjustments. High TN and TP loss crops should be prohibited; planting adjustments should decrease high TP loss crop plantings in response to regional environmental forces.
Shangbo Yang; Xiaoling Chen; Jianzhong Lu; Xuejiao Hou; Wenkai Li; Qiangqiang Xu. Impacts of agricultural topdressing practices on cyanobacterial bloom phenology in an early eutrophic plateau Lake, China. Journal of Hydrology 2021, 594, 125952 .
AMA StyleShangbo Yang, Xiaoling Chen, Jianzhong Lu, Xuejiao Hou, Wenkai Li, Qiangqiang Xu. Impacts of agricultural topdressing practices on cyanobacterial bloom phenology in an early eutrophic plateau Lake, China. Journal of Hydrology. 2021; 594 ():125952.
Chicago/Turabian StyleShangbo Yang; Xiaoling Chen; Jianzhong Lu; Xuejiao Hou; Wenkai Li; Qiangqiang Xu. 2021. "Impacts of agricultural topdressing practices on cyanobacterial bloom phenology in an early eutrophic plateau Lake, China." Journal of Hydrology 594, no. : 125952.
Reference crop evapotranspiration (ET0) is of great importance in assessing the potential impacts of climate changes on hydrological cycles and the global energy balance. The spatiotemporal change of ET0 and the drought response over Poyang Lake watershed of China from 2011 to 2100 are the main concern in this work. Based on the meteorological data and the output of the general circulation model (GCM) from the Coupled Model Intercomparison Project Phase 5 (CMIP5), we used the Penman–Monteith formula and downscaling model to calculate the history and future ET0 in Poyang Lake watershed, respectively. Major results are drawn as follows. First, the annual average ET0 decreased during 1961–2014 and the average ET0 of the basin is high in the north and south, but low in the middle. The ET0 was most dominated by sunshine duration in the spring, summer, and fall and by relative humidity in the winter. Second, the downscaling model has a good simulation effect, and the GCM data-downscaling simulation results are significantly improved after the deviation correction. Third, under the representative concentration pathway (RCP) 4.5 and RCP 8.5 scenarios, ET0 in the Poyang Lake watershed will increase over the next three periods, with the middle future (2041–2070) as the largest increase period. The spatial distribution of ET0 is generally high in the east and low in the west. Fourth, under the RCP 8.5 scenario, the drought index (DI) of the watershed showed an increasing trend, the seasonal distribution of DI is fall>summer>spring>winter, and the Ganjiang River subbasin will be the key prevention area for future drought risks. The results can provide basic data support for the optimal management of water resources and scientific response to the impact of climate change on agricultural production in the watershed for associated policymakers and stakeholders.
Zihao Liu; Jianzhong Lu; Jianwu Huang; Xiaoling Chen; Ling Zhang. Projection of Reference Crop Evapotranspiration under Future Climate Change in Poyang Lake Watershed, China. Journal of Hydrologic Engineering 2021, 26, 05020042 .
AMA StyleZihao Liu, Jianzhong Lu, Jianwu Huang, Xiaoling Chen, Ling Zhang. Projection of Reference Crop Evapotranspiration under Future Climate Change in Poyang Lake Watershed, China. Journal of Hydrologic Engineering. 2021; 26 (1):05020042.
Chicago/Turabian StyleZihao Liu; Jianzhong Lu; Jianwu Huang; Xiaoling Chen; Ling Zhang. 2021. "Projection of Reference Crop Evapotranspiration under Future Climate Change in Poyang Lake Watershed, China." Journal of Hydrologic Engineering 26, no. 1: 05020042.
Gridded meteorological products are generated with different spatial/data and methods, and it will be sensitive to different regions for hydrological models. Therefore variables including temperature and precipitation should be evaluated before applying them in studies. To improve knowledge of this matter, the potential of two reanalysis products (RPs) including the China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) and Climate Forecast System Reanalysis (CFSR) is for the first time compared with the ground-based meteorological data in 5 years from 2008 to 2013 over Cau river basin (CRB), Northern of Vietnam. The statistical indicators, and the Soil and Water Assessment Tool (SWAT) model are employed to investigates the hydrological performance of the RPs against the 13 rain gauges placed across the CRB. The result showed that there is a strong correlation of the temperature reanalysis in both CMADS and CFSR with ground-observed (correlation coefficient-CC is from 0.92 to 0.97). The division indicated clearly when CFSR data overestimated precipitation (about 88%) at both daily and monthly scales, whereas a slight variation of CMADS product was found in the high terrain. The flow simulation results also show that the performance of CMADS-SWAT is more accurate than CFSR-SWAT on the monthly scale (with value R2 = 0.86 and NSE = 0.75). The assessment of the potential of RPs especially CMADS will further provide an additional quick alternative for water resource research and management in basins with similar hydro-meteorological conditions.
Jianzhong Lu; DuyMinh Dao; Xiaoling Chen; Phamchimai Phan; DinhKha Dang. Prediction of tropical monsoon hydrology using gridded meteorological products over the Cau river basin in Vietnam. Proceedings of 5th International Electronic Conference on Water Sciences 2020, 1 .
AMA StyleJianzhong Lu, DuyMinh Dao, Xiaoling Chen, Phamchimai Phan, DinhKha Dang. Prediction of tropical monsoon hydrology using gridded meteorological products over the Cau river basin in Vietnam. Proceedings of 5th International Electronic Conference on Water Sciences. 2020; ():1.
Chicago/Turabian StyleJianzhong Lu; DuyMinh Dao; Xiaoling Chen; Phamchimai Phan; DinhKha Dang. 2020. "Prediction of tropical monsoon hydrology using gridded meteorological products over the Cau river basin in Vietnam." Proceedings of 5th International Electronic Conference on Water Sciences , no. : 1.
A series of urgent issues such as global warming, frequent natural disasters, and water shortages are largely result from heavy human interference and its induced changes of landscape structure. How the landscape pattern variation impacts the surface runoff remains an unsolved issue for watershed water management. In the past decades, the action of ecological environment protection and projects of returning farmland to forests and grasslands have significantly changed the landscape pattern in Fuhe Basin of Poyang Lake watershed, which will inevitably affect the hydrological cycle of the basin. In this study, the SWAT (Soil and Water Assessment Tool) model for the Fuhe Basin was firstly built to predict the runoff depth for the divided 31 subbasins during three periods from 1990 to 1999, 2000 to 2008 and 2009 to 2013. Meanwhile, dynamic changes of landscape pattern were analyzed Based on the land use and cover data in the year of 1990, 2000, and 2008. Finally, the correlations between different landscape indicators and surface runoff were quantified over subbasins using Spearman Correlation analysis. Results showed that the SWAT model is applicable in Fuhe Basin with R2 (correlation coefficient) and Ens (Nash-Sutcliffe efficiency coefficient) larger than 0.85 for runoff prediction. Based on the land use and cover data in the year of 1990, 2000, and 2008, the landscape index were calculated. The fragmentation degree increased first and then decreased during the two transition periods. The landscape patches shape became more complicated and connectivity of different landscapes decreased and then increased, among which the forest and paddy field have greatest fragmentation degree. Forest has a larger dominance degree, which was highly connectable to patches of other various types of landscape. According to the changes of landscape pattern from 1990 to 2008, the smaller fragmentation degree, more complex patch shape, and more uneven distribution of landscape patches led to more precipitation interception and runoff reduction. From the perspective of the landscape type, the landscape area ratio (PLAND) of dry land, paddy field, water area, urban and rural construction land patches has a significantly positive correlation with surface runoff, while PLAND and FRAC_AM (Area Weighted Patch Fractal Dimension) index of forestland have a significantly negative correlation with surface runoff. The complexity of forestland patch shape strengthened the interception of rainfall and plant transpiration of land surface, which would reduce water yield. The expansion of urban impervious area, aggravating landscape fragmentation, reduced runoff interception and increased surface runoff, which can be indicated by positive relation with PLAND and FRAC_AM index of urban construction. Deeply understanding surface runoff alternations, induced by landscape patterns changes, would provide theoretical support for solving the problems of sustainable utilization of water resources, but also offers best management practices (BMPs) for land management.
Jianzhong Lu; Qingqing Yan; Hongzhi Wang; Xiaoling Chen. Landscape pattern effects on surface runoff: Assessment using a hydrologic model in the Fuhe Basin of Poyang Lake Watershed. Proceedings of 5th International Electronic Conference on Water Sciences 2020, 1 .
AMA StyleJianzhong Lu, Qingqing Yan, Hongzhi Wang, Xiaoling Chen. Landscape pattern effects on surface runoff: Assessment using a hydrologic model in the Fuhe Basin of Poyang Lake Watershed. Proceedings of 5th International Electronic Conference on Water Sciences. 2020; ():1.
Chicago/Turabian StyleJianzhong Lu; Qingqing Yan; Hongzhi Wang; Xiaoling Chen. 2020. "Landscape pattern effects on surface runoff: Assessment using a hydrologic model in the Fuhe Basin of Poyang Lake Watershed." Proceedings of 5th International Electronic Conference on Water Sciences , no. : 1.
Erhai Lake, located on the Yungui plateau in southwest China, has been considered to be in a transition period of ecological process, posing an urgent need for understanding its historical succession of cyanobacteria and further detecting the early signals of cyanobacteria accumulation for developing management strategies in advance. For this reason, an aggregate cyanobacterial biomass proportion index (ACBPI) was introduced as bio-indicator for reflecting increased accumulation of cyanobacteria, through targeting cyanobacteria-associated indexes derived from satellite remote sensing using principal component analysis. Thresholds for ranking the cyanobacteria abundance state were then determined through in situ phytoplankton composition data and the entire ACBPI time series. The results showed that the ACBPI correlated with cyanobacteria biomass proportion with an accuracy level of 66% and cyanobacteria biovolume proportion with coefficient of determination 80%. Dense bloom appeared primarily in northern regions, with 5.5% occurring in 2003, 9.1% in 2006, and 6.7% in 2008. The frequency of moderate bloom in northern lake made up a higher share (14.1±16.0%) across the whole periods, with 6.2±10.7% in central lake and 2.5±4.0% in southern lake. Apparent mitigation of cyanobacterial dominance condition was observed in 2016-2019 in contrast to 2003-2011 with obvious reduction occurring in 2018, probably resulting from series of strict protection initiatives implemented in recent years. However, moderate bloom in northern bays occurred again in 2019, indicating that strict nutrient reduction especially phosphorus pollution should be strengthened under global warming and wind speed decreasing scenario.
Shangbo Yang; Jianzhong Lu; Xiaoling Chen. A novel aggregate cyanobacterial biomass proportion index for estimating cyanobacteria succession in early eutrophic Lake Erhai, China. Proceedings of 5th International Electronic Conference on Water Sciences 2020, 1 .
AMA StyleShangbo Yang, Jianzhong Lu, Xiaoling Chen. A novel aggregate cyanobacterial biomass proportion index for estimating cyanobacteria succession in early eutrophic Lake Erhai, China. Proceedings of 5th International Electronic Conference on Water Sciences. 2020; ():1.
Chicago/Turabian StyleShangbo Yang; Jianzhong Lu; Xiaoling Chen. 2020. "A novel aggregate cyanobacterial biomass proportion index for estimating cyanobacteria succession in early eutrophic Lake Erhai, China." Proceedings of 5th International Electronic Conference on Water Sciences , no. : 1.
Erhai Lake, the second largest freshwater lake in the Yunnan Province of China, has the flourishing tourist industry. Unfortunately, many problems such as deterioration of water quality and eutrophication were occurred in Erhai Lake, leading to numerous environmental problems. Chlorophyll-a (chl-a) and water transparency are critical ecological and environmental parameter for water quality, which play the important roles in the wetland environment and eutrophication of water. Human-induced land-use change can indicate the degree of the interference of anthropogenic activities on the regional ecological environment. Therefore, understanding the relationships between changes in land use and water quality is of great importance to improve water pollution control and for providing guidelines for land use planning. However, the effects of ongoing anthropogenic activities on water quality in Erhai Lake Basin are not well understood. Closing this knowledge gap first requires obtaining the accurate land use change information. A Random Forest classifier could be applied to spectral as well as textural features extracted from time-series of Landsat MSS/TM/ETM+/OLI imagery, ranging from 1973 to 2020, to increase the accuracy of land cover classification. The classification results show the spatiotemporal patterns and characteristics of land-use change in Erhai Lake Basin. Besides, the Landsat TM/ETM+/OLI, Medium Resolution Imaging Spectrometer (MERIS), MODIS (moderate resolution imaging spectroradiometer) and Sentinel-3 OLCI satellite data were used to estimate the chl-a concentration and water transparency in Erhai Lake from 1985 to 2020. Long-term water transparency and chl-a distributions of Erhai Lake revealed the changing trend of water quality. We use the geographically weighted regression (GWR) model to identify the impact of land-use change on chl-a concentration and water transparency. The land use change has a direct impact on water quality varied over nearly five decades; both positive and negative effects for certain land-use types were found in Erhai Lake Basin. These findings shed new light on the impact changes of land use on water quality and provide a scientific foundation for land use management and remediation plans.
Xingxing Han; Xiaoling Chen; Jialin Wang; Jianzhong Lu; Zhan Zhang. Evaluation of the Impacts of Land Use on Water Quality: A Case Study in Erhai Lake Basin. Proceedings of 5th International Electronic Conference on Water Sciences 2020, 1 .
AMA StyleXingxing Han, Xiaoling Chen, Jialin Wang, Jianzhong Lu, Zhan Zhang. Evaluation of the Impacts of Land Use on Water Quality: A Case Study in Erhai Lake Basin. Proceedings of 5th International Electronic Conference on Water Sciences. 2020; ():1.
Chicago/Turabian StyleXingxing Han; Xiaoling Chen; Jialin Wang; Jianzhong Lu; Zhan Zhang. 2020. "Evaluation of the Impacts of Land Use on Water Quality: A Case Study in Erhai Lake Basin." Proceedings of 5th International Electronic Conference on Water Sciences , no. : 1.
Wang, H.Z., Zhong, H.P., Lu, J.Z., Yan, Q.Q., Li, S., and Zhou, Y., 2020. Understanding the river-lake relationship after the operation of TGR based on SWAT model. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 593–600. Coconut Creek (Florida), ISSN 0749-0208.It is an important issue how the operation of Three Gorges Reservoir (TGR) has impacted upon the hydrological relationship between the Yangtze River and the Poyang Lake. A SWAT model was built to simulate the runoff of the River and the Lake, and the energy difference (Fe) index was selected to characterize the river-lake relationship. The results show: (1) The SWAT model was verified suitable to simulate the runoff of the study area. (2) The monthly trend of River-lake relationship after the operation of the TGR from 2010 to 2018 was studied. The successive monthly strong effect of the River (Fe<-0.1) appeared in August and September of 2010, which corresponded to the period of severe flood of the Lake basin. The successive monthly strong effect of the Lake (Fe>0.1) appeared in November and December of 2013, which corresponded to the period of severe draught of the Lake basin. (3) The yearly trend showed the constant increase of the role of the Lake and the constant decrease of effect of the Yangtze River main stream. (4) Under the operation of the TGR, the Yangtze River plays a stronger role during the drainage and flooding periods, leading to the increase of the flood control pressure in the Poyang Lake basin; the effect of the Poyang Lake is enhanced during the water storage and dry period, leading to the increase of the risk of drought disasters in the Poyang Lake basin. The study systematically reveals the change pattern of the river-lake relationship after the operation of the TGR at different time scales.
Hongzhi Wang; Hongping Zhong; Jianzhong Lu; Qingqing Yan; Shuo Li; Yong Zhou. Understanding the River-Lake Relationship after the Operation of TGR based on SWAT Model. Journal of Coastal Research 2020, 104, 593 -600.
AMA StyleHongzhi Wang, Hongping Zhong, Jianzhong Lu, Qingqing Yan, Shuo Li, Yong Zhou. Understanding the River-Lake Relationship after the Operation of TGR based on SWAT Model. Journal of Coastal Research. 2020; 104 (sp1):593-600.
Chicago/Turabian StyleHongzhi Wang; Hongping Zhong; Jianzhong Lu; Qingqing Yan; Shuo Li; Yong Zhou. 2020. "Understanding the River-Lake Relationship after the Operation of TGR based on SWAT Model." Journal of Coastal Research 104, no. sp1: 593-600.
With the longest archive of satellite remote sensing images, the Landsat series of satellites have demonstrated their great potential in aquatic environmental studies. However, although various atmospheric correction (AC) methods have been developed for Landsat observations in water color applications, a comprehensive assessment of their accuracies across different AC methods and instruments has yet to be performed. Using in situ spectral data collected by Aerosol Robotic Network-Ocean Color (AERONET-OC) sites, the performances of five types of AC methods over three different Landsat missions (i.e., Landsat 5/7/8) were evaluated. The Landsat 8 Operational Land Imager (OLI) showed more accurate AC retrievals than the other two instruments, and the results for its green and red bands appeared more reliable than those for the other wavelengths (uncertainty levels of ∼30 %). The iterative NIR algorithm with 2-bands (NIR-SWIR2) model selection embedded in SeaDAS showed the best performances for OLI in two blue bands. Moreover, larger residual errors were found for most Landsat 5/7 bands regardless of the AC methods and spectral bands employed with an uncertainty of >50 %. Interestingly, a simple aerosol subtraction method over the Rayleigh-corrected reflectance (Rrc) outperformed the exponential extrapolation (EXP) algorithms, especially for Landsat 5/7. Neither the image-based AC algorithm nor the surface reflectance (SR) products provided by the United States Geological Survey (USGS) showed acceptable performances over coastal environments. The uncertainties in the various Landsat reflectance products over water surfaces could be associated with a relatively poor signal-to-noise ratio (SNR) in addition to radiometric calibration uncertainties, imperfect aerosol removal methods. Future research is required to collect in situ data across a wider range of water optical properties (particularly more turbid inland waters) to examine the corresponding applicability of Landsat-series observations.
Yang Xu; Lian Feng; Dan Zhao; Jianzhong Lu. Assessment of Landsat atmospheric correction methods for water color applications using global AERONET-OC data. International Journal of Applied Earth Observation and Geoinformation 2020, 93, 102192 .
AMA StyleYang Xu, Lian Feng, Dan Zhao, Jianzhong Lu. Assessment of Landsat atmospheric correction methods for water color applications using global AERONET-OC data. International Journal of Applied Earth Observation and Geoinformation. 2020; 93 ():102192.
Chicago/Turabian StyleYang Xu; Lian Feng; Dan Zhao; Jianzhong Lu. 2020. "Assessment of Landsat atmospheric correction methods for water color applications using global AERONET-OC data." International Journal of Applied Earth Observation and Geoinformation 93, no. : 102192.
Evaluating the accuracy of gridded weather data is important because these data significantly affect the results of hydrologic simulations. In this study, we evaluated the applicability of Climate Forecast System Reanalysis (CFSR) and China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS) datasets for capturing the hydrologic extreme events in the Fuhe River Basin (FRB) of the Poyang Lake, a typical humid area in eastern China. First, both the CFSR and CMADS temperature and precipitation data obtained from 2008 to 2013 were validated using ground‐based meteorological station data. Then, the SWAT model was driven by the CFSR and CMADS datasets for hydrologic predictions. The results show that both CFSR and CMADS temperature data are of high quality. The CMADS data underestimate precipitation, whereas CFSR data overestimate precipitation. Both datasets have their own advantage and disadvantage to detect extreme rainfall events. For the FRB case study, SWAT models driven by two datasets yield good streamflow simulation results. The CMADS‐driven model performs slightly better than CFSR‐driven model in predicting extreme streamflow events in the simulation time‐period (2009–2013). In general, both the CFSR and CMADS data can be used to obtain satisfactory simulation results for hydrologic predictions. They provide alternatives that enable quickly implementing a hydrologic model in data‐scarce areas.
Jianzhong Lu; Zixuan Liu; Weizhe Liu; Xiaoling Chen; Ling Zhang. Assessment of CFSR and CMADS Weather Data for Capturing Extreme Hydrologic Events in the Fuhe River Basin of the Poyang Lake. JAWRA Journal of the American Water Resources Association 2020, 56, 917 -934.
AMA StyleJianzhong Lu, Zixuan Liu, Weizhe Liu, Xiaoling Chen, Ling Zhang. Assessment of CFSR and CMADS Weather Data for Capturing Extreme Hydrologic Events in the Fuhe River Basin of the Poyang Lake. JAWRA Journal of the American Water Resources Association. 2020; 56 (5):917-934.
Chicago/Turabian StyleJianzhong Lu; Zixuan Liu; Weizhe Liu; Xiaoling Chen; Ling Zhang. 2020. "Assessment of CFSR and CMADS Weather Data for Capturing Extreme Hydrologic Events in the Fuhe River Basin of the Poyang Lake." JAWRA Journal of the American Water Resources Association 56, no. 5: 917-934.
Hydrology is a critical environmental condition for the evolution of wetland ecosystems. The effects of hydrological changes on wetland cover are of great importance for preserving its ecological functions. In this study, the hydrological influences on wetland cover distribution and transition in a large complex lake–floodplain system, Poyang Lake (China), were investigated. Utilizing time-series satellite remote sensing observations, wetland cover types in Poyang Lake during 2000–2009, including water, mudflat, and the major vegetation communities, were extracted and related to the wetland hydrological characteristics calculated by the hydrodynamic simulations. The statistical results of annual inundation conditions for different wetland cover types indicated that vegetation communities were preferential to hydrological environments with shorter annual inundation than water and mudflats, and different vegetation communities were distributed in areas with considerable variations in annual inundation, which suggested a substantial hydrological influence on the distribution of wetland cover in Poyang Lake. Furthermore, this study investigated the impact of hydrological changes on the wetland cover transitions between typical dry and wet years. The results showed that hydrological fluctuations had various degrees of influences on different types of wetland cover transformation. The spatial analysis indicated that hydrological changes were probably the dominant factor for the wetland cover evolution in the floodplain areas of the northern and central parts of Poyang Lake, but not the unique determined factor for wetland cover transitions in the shallow floodplains near the sink of the inflows in the eastern and southwestern parts of Poyang Lake. This study provides a practical reference for the effects of hydrological regulation in the protection and restoration of Poyang Lake wetland.
Dong Liang; Jianzhong Lu; Xiaoling Chen; Chun Liu; Jingjing Lin. An investigation of the hydrological influence on the distribution and transition of wetland cover in a complex lake–floodplain system using time-series remote sensing and hydrodynamic simulation. Journal of Hydrology 2020, 587, 125038 .
AMA StyleDong Liang, Jianzhong Lu, Xiaoling Chen, Chun Liu, Jingjing Lin. An investigation of the hydrological influence on the distribution and transition of wetland cover in a complex lake–floodplain system using time-series remote sensing and hydrodynamic simulation. Journal of Hydrology. 2020; 587 ():125038.
Chicago/Turabian StyleDong Liang; Jianzhong Lu; Xiaoling Chen; Chun Liu; Jingjing Lin. 2020. "An investigation of the hydrological influence on the distribution and transition of wetland cover in a complex lake–floodplain system using time-series remote sensing and hydrodynamic simulation." Journal of Hydrology 587, no. : 125038.
In flood-prone areas, the delineation of the spatial pattern of historical flood extents, damage assessment, and flood durations allow planners to anticipate potential threats from floods and to formulate strategies to mitigate or abate these events. The Chenab plain in the Punjab region of Pakistan is particularly prone to flooding but is understudied. It experienced its worst riverine flood in recorded history in September 2014. The present study applies Remote Sensing (RS) and Geographical Information System (GIS) techniques to estimate the riverine flood extent and duration and assess the resulting damage using Landsat-8 data. The Landsat-8 images were acquired for the pre-flooding, co-flooding, and post-flooding periods for the comprehensive analysis and delineation of flood extent, damage assessment, and duration. We used supervised classification to determine land use/cover changes, and the satellite-derived modified normalized difference water index (MNDWI) to detect flooded areas and duration. The analysis permitted us to calculate flood inundation, damages to built-up areas, and agriculture, as well as the flood duration and recession. The results also reveal that the floodwaters remained in the study area for almost two months, which further affected cultivation and increased the financial cost. Our study provides an empirical basis for flood response assessment and rehabilitation efforts in future events. Thus, the integrated RS and GIS techniques with supporting datasets make substantial contributions to flood monitoring and damage assessment in Pakistan.
Asif Sajjad; Jianzhong Lu; Xiaoling Chen; Chikondi Chisenga; Nayyer Saleem; Hammad Hassan. Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques. Remote Sensing 2020, 12, 714 .
AMA StyleAsif Sajjad, Jianzhong Lu, Xiaoling Chen, Chikondi Chisenga, Nayyer Saleem, Hammad Hassan. Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques. Remote Sensing. 2020; 12 (4):714.
Chicago/Turabian StyleAsif Sajjad; Jianzhong Lu; Xiaoling Chen; Chikondi Chisenga; Nayyer Saleem; Hammad Hassan. 2020. "Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques." Remote Sensing 12, no. 4: 714.
The revised universal soil loss equation (RUSLE) was used to obtain the soil erosion intensity distribution in the middle and lower reaches of the Yangtze River basin (MLYB), where the input data included a digital elevation model (DEM) and Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing products. Changes in the soil erosion intensity throughout the MLYB were analysed from 2001 to 2014, and the potential influences of these changes on the local water quality of lakes and reservoirs were revealed. This investigation is the first to reveal the spatial and temporal changes in soil erosion throughout the MLYB. The results indicated that from 2001 to 2014, most of the MLYB was characterized by slight and light soil erosion levels, whereas relatively few areas exhibited intensive to severe soil erosion. Soil erosion in the MLYB displayed a decreasing trend from 2001 to 2014; over 80% of the region displayed a decreasing soil erosion intensity change rate, indicating that soil conservation in most of the MLYB has improved over the past 14 years. However, 12.8% of the area presented an increasing change rate, and the region with the maximum increasing change rate was located mainly in the lower Yangtze basin. Furthermore, spatial heterogeneities were found in the soil erosion intensities throughout the MLYB: soil erosion improved in the upper and middle regions of the MLYB, whereas soil erosion worsened in the lower regions of the MLYB. Among the sub-basins of the MLYB, obvious soil erosion occurred most frequently in the Hanjiang basin and least frequently in the Taihu basin. A driving force analysis showed that the influence of precipitation on soil erosion is more evident than that of human activities in all sub-basins except the Dongting basin. A correlation analysis between soil erosion and water turbidity/water transparency showed that 45.9% of the decreasing water turbidity is correlated with decreasing soil erosion and that 42.5% of the increasing water turbidity might be influenced by increasing soil erosion. Decreased soil erosion might be responsible for the improved water transparency for 50% of the lakes, whereas increased soil erosion is correlated with a decrease in water transparency for over 50% of the lakes.
Xuejiao Hou; Jinhan Shao; Xiaoling Chen; Jian Li; Jianzhong Lu. Changes in the soil erosion status in the middle and lower reaches of the Yangtze River basin from 2001 to 2014 and the impacts of erosion on the water quality of lakes and reservoirs. International Journal of Remote Sensing 2019, 41, 3175 -3196.
AMA StyleXuejiao Hou, Jinhan Shao, Xiaoling Chen, Jian Li, Jianzhong Lu. Changes in the soil erosion status in the middle and lower reaches of the Yangtze River basin from 2001 to 2014 and the impacts of erosion on the water quality of lakes and reservoirs. International Journal of Remote Sensing. 2019; 41 (8):3175-3196.
Chicago/Turabian StyleXuejiao Hou; Jinhan Shao; Xiaoling Chen; Jian Li; Jianzhong Lu. 2019. "Changes in the soil erosion status in the middle and lower reaches of the Yangtze River basin from 2001 to 2014 and the impacts of erosion on the water quality of lakes and reservoirs." International Journal of Remote Sensing 41, no. 8: 3175-3196.
As the largest freshwater lake in China, Poyang Lake plays an important role in the ecosystem of the Yangtze River watershed. The high suspended sediment concentration (SSC) has been an increasingly significant problem under the influence of extensive sand dredging. In this study, a hydrodynamic model integrated with the two-dimensional sediment transport model was built for Poyang Lake, considering sand dredging activities detected from satellite images. The sediment transport model was set with point sources of sand dredging, and fully calibrated and validated by observed hydrological data and remote sensing results. Simulations under different dredging intensities were implemented to investigate the impacts of the spatiotemporal variation of the SSC. The results indicated that areas significantly affected by sand dredging were located in the north of the lake and along the waterway, with a total affected area of about 730 km2, and this was one of the main factors causing high turbidity in the northern part of the lake. The SSC in the northern area increased, showing a spatial pattern in which the SSC varied from high to low from south to north along the main channel, which indicated close agreement with the results captured by remote sensing. In summary, this study quantified the influence of human induced activities on sediment transport for the lake aquatic ecosystem, which could help us to better understand the water quality and manage water resources.
Jianzhong Lu; Haijun Li; Xiaoling Chen; Dong Liang. Numerical Study of Remote Sensed Dredging Impacts on the Suspended Sediment Transport in China’s Largest Freshwater Lake. Water 2019, 11, 2449 .
AMA StyleJianzhong Lu, Haijun Li, Xiaoling Chen, Dong Liang. Numerical Study of Remote Sensed Dredging Impacts on the Suspended Sediment Transport in China’s Largest Freshwater Lake. Water. 2019; 11 (12):2449.
Chicago/Turabian StyleJianzhong Lu; Haijun Li; Xiaoling Chen; Dong Liang. 2019. "Numerical Study of Remote Sensed Dredging Impacts on the Suspended Sediment Transport in China’s Largest Freshwater Lake." Water 11, no. 12: 2449.
To bridge the gap between large-scale GCM (global climate model) outputs and regional-scale climate requirements of hydrological models, a spatiotemporally distributed downscaling model (STDDM) was developed. The STDDM was done in three stages: (1) up-sampling grid-observations and GCM simulations for spatially continuous finer grids, (2) creating the mapping relationship between the observations and the simulations differently in space and time, and (3) correcting the simulation and producing downscaled data to a spatially continuous grid scale. We applied the STDDM to precipitation downscaling in the Poyang Lake watershed using the MRI-CGCM3 (Meteorological Research Institute Coupled Ocean–Atmosphere General Circulation Model 3), with an acceptable uncertainty of ≤ 4.9 %. Then we created future precipitation changes from 1998 to 2100 (1998–2012 in the historical scenario and 2013–2100 in the RCP8.5 scenario). The precipitation changes increased heterogeneities in temporal and spatial distribution under future climate warming. In terms of temporal patterns, the wet season become wetter, while the dry season become drier. The frequency of extreme precipitation increased, while that of the moderate precipitation decreased. Total precipitation increased, while rainy days decreased. The maximum continuous dry days and the maximum daily precipitation both increased. In terms of spatial patterns, the dry area exhibited a drier condition during the dry season, and the wet area exhibited a wetter condition during the wet season. Analysis with temperature increment showed precipitation changes can be significantly explained by climate warming, with p
Ling Zhang; Xiaoling Chen; Jianzhong Lu; Xiaokang Fu; Yufang Zhang; Dong Liang; Qiangqiang Xu. Precipitation projections using a spatiotemporally distributed method: a case study in the Poyang Lake watershed based on the MRI-CGCM3. Hydrology and Earth System Sciences 2019, 23, 1649 -1666.
AMA StyleLing Zhang, Xiaoling Chen, Jianzhong Lu, Xiaokang Fu, Yufang Zhang, Dong Liang, Qiangqiang Xu. Precipitation projections using a spatiotemporally distributed method: a case study in the Poyang Lake watershed based on the MRI-CGCM3. Hydrology and Earth System Sciences. 2019; 23 (3):1649-1666.
Chicago/Turabian StyleLing Zhang; Xiaoling Chen; Jianzhong Lu; Xiaokang Fu; Yufang Zhang; Dong Liang; Qiangqiang Xu. 2019. "Precipitation projections using a spatiotemporally distributed method: a case study in the Poyang Lake watershed based on the MRI-CGCM3." Hydrology and Earth System Sciences 23, no. 3: 1649-1666.
J Z Lu; L Zhang; X L Cui; P Zhang; X L Chen; S Sauvage; J M Sanchez-Perez. ASSESSING THE CLIMATE FORECAST SYSTEM REANALYSIS WEATHER DATA DRIVEN HYDROLOGICAL MODEL FOR THE YANGTZE RIVER BASIN IN CHINA. Applied Ecology and Environmental Research 2019, 17, 3615 -3632.
AMA StyleJ Z Lu, L Zhang, X L Cui, P Zhang, X L Chen, S Sauvage, J M Sanchez-Perez. ASSESSING THE CLIMATE FORECAST SYSTEM REANALYSIS WEATHER DATA DRIVEN HYDROLOGICAL MODEL FOR THE YANGTZE RIVER BASIN IN CHINA. Applied Ecology and Environmental Research. 2019; 17 (2):3615-3632.
Chicago/Turabian StyleJ Z Lu; L Zhang; X L Cui; P Zhang; X L Chen; S Sauvage; J M Sanchez-Perez. 2019. "ASSESSING THE CLIMATE FORECAST SYSTEM REANALYSIS WEATHER DATA DRIVEN HYDROLOGICAL MODEL FOR THE YANGTZE RIVER BASIN IN CHINA." Applied Ecology and Environmental Research 17, no. 2: 3615-3632.
Liu Zihao; Lu Jianzhong; Huang Jianwu; Chen Xiaoling; Zhang Ling; Sheng Yingdong. Prediction and trend of future reference crop evapotranspiration in the Poyang Lake Basin based on CMIP5 Models. Journal of Lake Sciences 2019, 31, 1685 -1697.
AMA StyleLiu Zihao, Lu Jianzhong, Huang Jianwu, Chen Xiaoling, Zhang Ling, Sheng Yingdong. Prediction and trend of future reference crop evapotranspiration in the Poyang Lake Basin based on CMIP5 Models. Journal of Lake Sciences. 2019; 31 (6):1685-1697.
Chicago/Turabian StyleLiu Zihao; Lu Jianzhong; Huang Jianwu; Chen Xiaoling; Zhang Ling; Sheng Yingdong. 2019. "Prediction and trend of future reference crop evapotranspiration in the Poyang Lake Basin based on CMIP5 Models." Journal of Lake Sciences 31, no. 6: 1685-1697.