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This Journal is Continuously Indexed by the "RCCSE Chinese Core Academic Journal (A)"
2025-07-03The Editorial Department Co-organized the "17th Forum on Water Science Development".
2025-07-03The Editorial Board Meeting for the Year 2024 was held in Tianjin
2025-07-03Call for Papers "Ecological Hydrology and Soil and Water Conservation in the Yellow River Basin"
2025-07-03Notice on the Convening of the Editorial Board Meeting (April 19th)
more..Improvements in High-precision Remote Sensing Visual Interpretation Techniques for Cyanobacterial Algal Blooms and Their Operational Applications
MU Yunchang;LI Junsheng;ZHAO Huan;ZHU Xiaodi;ZHANG Fangfang;WANG Shenglei;While satellite-based automated methods for Cyanobacterial algal blooms(CyanoABs) detection face operational limitations in meeting ecological monitoring requirements. At present, the most accurate remote sensing monitoring method for CyanoABs is visual interpretation by experienced experts, but inexperienced personnel may generate random errors in interpretation, making it difficult to support high-precision operational applications. To address these challenges, this paper examines the factors influencing the extraction of CyanoABs through visual interpretation and develops a technical workflow. The proposed workflow comprises image preprocessing, CyanoABs extraction, and result export, aiming to achieve high-precision and standardized extraction of CyanoABs. It is applicable to various types of multispectral satelliteremote sensing data. Building on this workflow, this paper develops a visual interpretation-based assistant software for CyanoABs extraction. The software features a user-friendly graphical interface and supports the extraction of CyanoABs from various remote sensing satellite images. It enhances the efficiency of visual interpretation for CyanoABs and offers technical support for operational monitoring based on satellite remote sensing.
GACOS-based Secondary Atmospheric Correction Method for Time-series InSAR in Inland Canyon-type Reservoir
LIU Haofeng;MENG Lingkui;LUO Zhi;LI Jinglin;ZHANG Zhen;LI Hanman;LI Linyi;ZHANG Wen;Atmospheric delay remains a critical challenge in improving the accuracy of time-series interferometric synthetic aperture radar(TS-InSAR). Existing correction approaches primarily fall into two categories: self-correction based on interferogram characteristics and external data-assisted methods. To address the limitations of conventional methods in complex terrains, this study proposes a secondary atmospheric correction framework integrating regression models and the Generic Atmospheric Correction Online Service(GACOS) dataset, specifically tailored for inland canyon-type reservoirs. The proposed method capitalizes on the synergistic advantages of statistical regression and high-resolution atmospheric modeling. A case study at Hekoucun Reservoir demonstrates significant improvements: Compared to conventional TS-InSAR, the GACOS-only correction enhances accuracy by 5.576%, while the combined linear regression and GACOS approach achieves a 22.538% reduction in residual errors. Validation using in-situ deformation measurements confirms the method's effectiveness in mitigating stratified atmospheric artifacts induced by canyon topography. These findings provide a robust technical reference for high-precision deformation monitoring of reservoir slopes in geomorphologically constrained regions using advanced InSAR solutions.
Multi-algorithm Assessment of Cyanobacterial Bloom Dynamics in Lake Taihu Using MODIS Data
WANG Jian;ZHANG Yifei;ZHI Li;WANG Yu;Accurate monitoring of cyanobacterial blooms is critical for aquatic ecosystem management, yet methodological discrepancies in remote sensing approaches remain unresolved. This study focuses on Lake Taihu and utilizes MODIS satellite imagery and land cover classification data to extract the spatial extent of cyanobacterial blooms in the lake. Five methods, including band ratio, normalized difference vegetation index(NDVI), floating algae index(FAI), support vector machine(SVM), and random forest(RF), are employed to estimate the outbreak areas of cyanobacterial blooms(2010—2022). Temporal analysis revealed distinct bloom dynamics: relatively stable conditions during 2010—2014 were followed by escalating outbreaks from 2015 onward, peaking in 2021 before an abrupt decline in 2022. Quantitative validation through Kappa statistics demonstrated SVM′s superior performance(mean k=0.77), significantly outperforming NDVI(k=0.61), which exhibited substantial spatial-temporal inconsistency. When compared with the Taihu algal blooms product, the monitoring results of various methods show differences in accuracy and stability, while the SVM algorithm demonstrates the best performance. Therefore, this study proposes an adaptive monitoring framework combining SVM′s classification robustness with FAI′s sensitivity to early-stage blooms. Our findings emphasize the necessity for context-specific algorithm selection and highlight the potential of hybrid approaches for operational monitoring systems.
Runoff Evolution and Attribution Quantification for a Typical Water Conservation Catchment in the Upper Yellow River Basin
WANG Guoqing;ZHENG Yuning;LIU Xisheng;SUN Gaoxia;LI Chenxi;LIU Cuishan;The Yellow River Basin is shortage in water resources. The hydrological regime in the water conservation areas of the Yellow River Basin has been highly influenced by environment change. It is of significance to quantify attribution of runoff change for water conservation and ecological protection. Taking the Datong River in the upper Yellow River Basin as a case, this study investigated characteristics of runoff evolution during 1961—2020, and quantified impact of climate change and human activities on runoff change by using VIC model. The results showed that:(1) The measured annual runoff at Xiangtang station showed a significant decreasing trend from 1961 to 2020, with an abrupt change occurring in 1990.(2) The recorded annual runoff in 1991—2020 decreased by 12% relative to baseline of 1961—1990, among which, runoff decreased by 27.7 mm in the period from April to October and increased by 4.4 mm in other months;(3) The VIC model performs well in monthly natural discharge simulation for the baseline period of 1961—1990 with Nash-Sutcliffe efficiency coefficient of 0.74 and relative error of 0.46%;(4) During the period of 1991—2020, climate change increased runoff by 21.8 mm, while human activities decreased runoff by 45.0 mm. Construction and operation of water conservancy projects in the Datong River is the dominated reason of runoff reduction at the Xiangtang hydrometric station.
Assessment of Ecosystem Services and Trade-offs/Synergies in Cities Along the Yellow River in Henan Province
GAI Yingying;ZHAO Heng;WANG Fuqiang;ZHANG Honglu;Understanding spatiotemporal patterns of ecosystem service(ES) trade-offs and synergies is critical for sustainable landscape management in rapidly urbanizing regions. This study evaluates four key ES(carbon storage, habitat quality, water yield, and food supply) across eight Yellow River-bordering cities in Henan Province(between 2011 and 2021) using the InVEST model and market valuation. The Spearson correlation coefficient was used to analyze the balance and synergy between the various ecosystem services. The results showed that:(1) Spatial distributions of habitat quality, carbon storage, and food supply remained stable, with ecological hotspots persisting in the Taihang Mountains, western Henan highlands, and riparian zones, while urban cores and plains exhibited ES deficits.(2) Decadal changes show trade-off dynamics: habitat quality(decline: Δ=-0.011) and carbon storage(-2.36 million tons) decreased despite gains in water yield(+5.42 billion m3) and food supply(+CNY 121.88 billion).(3) Synergies dominated ES relationships: strong positive correlations linked food supply with carbon storage/habitat quality, whereas water yield exhibited unstable synergies with other services. These findings highlight the need for spatially differentiated strategies to mitigate urbanization-driven ES trade-offs in fluvial urban corridors.
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