筛选条件 :
地理科学与测绘工程学院
Zongkui Guan; Yaru Zhang; Qiqi Yang; Shuliang Zhang; Xuehong Zhu
Journal of Hydrology,
2025
650
-
EI
SCIE
摘要 : Flood mapping is paramount in flood risk management as it furnishes crucial information and support to emergency responders and decision-makers for effectively managing flood-related events. Traditional data sources like remote sensing and hydrodynamic models frequently face limitations due to data availability and time-consuming computations. To address these challenges and improve the efficiency of urban flood mapping, we propose a novel Rapid Flood Mapping (NRFM) model based on social media and GF-3 satellite imagery. The model incorporates geographic information system (GIS) theory and methods, alongside edge detection techniques like AdaptiveThreshold, and parameter optimization methods such as AdamW. Various modal data were employed as inputs to enhance the model's learning capabilities. Evaluation of the model output was conducted using multiple metrics, including accuracy, F1-score, mean absolute error, and efficiency. Testing of the model was conducted in Zhengzhou City, yielding the following results: (1) The model, which adheres to the first law of geography, the law of gravity, and outlier detection techniques to enhance mechanism explanation, yielded remarkable results, with a mean accuracy of 0.98 and a mean F1-score of 0.98. (2) The proposed model efficiently generated flooded areas by pre-training subsamples and fine-tuning overall samples to obtain predictive models. In the case of Zhengzhou, covering an area of 7567 km 2, the model required only 10 min on an Intel Xeon(R) Silver 4214R CPU. The NRFM model can offer optimal parameters as references for subsequent studies and provide consistent explanatory estimates of flood inundation in near real-time, thus significantly improving the basis for macro-decision-making and rescue efforts during flooding events.
Qiqi Yang; Shuliang Zhang; Yiheng Chen; Yuhan Jin; Hongyuan Fang
Atmospheric Research,
2025
315
-
EI
SCIE
摘要 : The 2020 Meiyu season in Anhui, China, brought unprecedented rainfall, driven by a unique interplay of high precipitation frequency and elevated convective rainfall. This study examines the distinctive microphysical characteristics of raindrop size distribution (DSD) during this record-breaking season, using minute-level data from six disdrometer stations. Brief but intense rain events contributed up to 49.4 % of the total seasonal rainfall in only 6–7 % of the duration, with the mean drop diameter increasing from 1.2 mm to 2.1 mm and the mean normalized intercept parameter rising from 2.7 to 4.1 as rainfall rate intensified. Compared to prior Meiyu studies, our findings reveal distinct DSD patterns with larger raindrops and higher concentrations, reflecting a more convective-dominated structure unique to the 2020 season. Novel μ – Λ and Z − R relationships tailored for this event revealed larger raindrop sizes and concentrations compared to past studies. Enhanced dual-polarization radar rainfall prediction models were developed, with relationships between Z dr, Z h, K dp, and rainfall rate ( R ) showing exceptional accuracy, as evidenced by correlation coefficients nearing 1.0 and low RMSE and NMAE values. Additionally, new KE – R relationships accurately estimated rainfall kinetic energy ( KE ), with Power Law models best representing KE time – R and Logarithmic fits for KE mm – R . These findings demonstrate the importance of DSD-specific insights for understanding microphysical processes and improving QPE accuracy, with implications for flood and soil erosion management in eastern China.
Ping Yang; Dongyao Sun; Wenjing Liu; Kaiyuan Liu; Hong Yang; Chuan Tong
Environmental Pollution,
2025
367
-
EI
SCIE
摘要 : Biochar has been proposed as an effective material for mitigating greenhouse gas emissions from farmlands, but comparable information for earthen aquaculture ponds is limited. A field study was conducted to investigate the effects of adding biochar (200–1600 kg ha −1 ) derived from the invasive plant Spartina alterniflora on sediment physico-chemical properties, CH 4 production potential ( P CH4 ), and the relevant functional gene abundances in earthen aquaculture ponds during the non-farming period. The results indicated that biochar treatments increased sediment porosity and salinity, while decreasing dissolved organic carbon and microbial biomass carbon. Biochar-treated sediments also exhibited a significantly lower abundance of mcrA gene especially in the early drainage stage, and a higher abundance of pmoA gene especially in the intermediate and final drainage stages. Consequently, the mean P CH4 in biochar-treated sediments (1.28–21.12 ng g −1 d −1 ) was 57–73% lower than in the control group (5.41–39.45 ng g −1 d −1 ). The reduction in P CH4 did not differ between biochar produced at 300 °C vs. 500 °C and was not dependent on the amount of biochar added. The findings suggest that using biochar derived from S. alterniflora can be a cost-effective method to control the spread of this invasive plant and reduce CH 4 production in aquaculture pond sediment during the non-farming period.
Eshetu Shifaw; Jinming Sha; Xiaomei Li; Peng Zhao; Jianwan Ji; Hao Zhang
Journal of Hydrology: Regional Studies,
2025
57
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SCIE
摘要 : Study region Upper Blue Nile Basin, the largest in Ethiopia in terms of annual water runoff and soil loss. Study focus A new framework for identifying soil conservation priority areas has been proposed. Existing methods often focus solely on soil loss, neglecting soil conservation indicators. Few studies consider multiple scenarios. The Sediment Delivery Ratio model was used to estimate soil conservation services (Avoided Erosion, AE' Sediment Trapping, ST) and soil erosion (Soil Loss, SL' Sediment Export, SE). These indicators were integrated using the Ordered Weighted Averaging method. New hydrological insights for the region The results revealed an initial decline in all indicators (2000–2010), followed by an increase (2010–2020). The total values of AE, ST, SL, and SE ranged from 11.98 to 12.49 billion, 2.07–2.15 billion, 660.41–684.06 million, and 102.35–105.75 million tons/year, respectively. Factors such as rainfall, slope, and soil types caused non-linear effects of land cover change. The study proposes conservation priority areas under 11 scenarios, offering a range of decision-making options. Among these, the 7th is recommended as the most optimal, balancing conservation efficiency, moderate trade-offs, and planners' optimism. Implementing conservation measures in high and very high priority classes under this scenario can retain 2097.03 t/ha/yr of soil and reduce sediment export by 20.03 t/ha/yr. This advanced conservation prioritization framework can be replicated in regions beyond the UBNB.
Dongyao Sun; Yinghui Jiang; Hengchen Wei; Jun Li; Dengzhou Gao; Xianbiao Lin
International Biodeterioration & Biodegradation,
2025
197
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EI
SCIE
摘要 : Reclamation of estuarine wetlands for paddy fields (PF) and aquaculture ponds (AP) used to be a common practice in China, which has changed land types and significantly affected microbial nitrogen transformations. However, its impacts on nitrification process especially complete ammonia oxidizers (comammox) remain poorly understood. Our study investigated the distribution and diversity of comammox across the major estuarine wetland systems along the coast of China by comparing different land types, including paddy fields (PF), aquaculture ponds (AP), and wetlands. The results showed that reclamation for PF and AP (1.94 × 10 6 copies g −1 soil) significantly reduced the gene abundance of comammox compared with wetlands (3.19 × 10 6 copies g −1 soil), with higher ammonia-oxidizing archaea (AOA) and bacteria (AOB) abundances and the rates of nitrification in PF than in AP. Phylogenetic analysis revealed different community structures in the two reclamation types. The distribution pattern of comammox genes in PF was similar to that in estuarine wetlands, with clade A1 and clade A2.1 being the dominant branches. Water content, iron, sulfide, and salinity were identified as the key factors affecting the distribution of comammox. This study highlights the impact of reclamation on comammox in estuarine wetlands and expands our understanding of nitrogen cycling processes in estuarine systems.
Peiyao Wang; Lingwei Hu; Yuhe Chen; Duo Zhou; Shasha Zhu; Ting Zhang
Orphanet Journal of Rare Diseases,
2025
20
(1)
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SCIE
摘要 : PurposeTo enhance the detection rate of Neonatal Intrahepatic Cholestasis caused by Citrin Deficiency (NICCD) through newborn screening (NBS), we analyzed the metabolic profiles of missed patients and proposed a more reliable method for early diagnosis.MethodsIn this retrospective study, NICCD patients were classified into "Newborn Screening" (64 individuals) and "Missed Screening" (52 individuals) groups. Metabolic profiles were analyzed using the non-derivatized MS/MS Kit, and genetic mutations were identified via next-generation sequencing and confirmed by Sanger sequencing. Receiver Operating Characteristic (ROC) analysis evaluated the predictive value of amino acids and acylcarnitines in dried blood spots (DBS) for identifying missed patients including 40 missed patients and 17, 269 healthy individuals, with additional validation using 12 missed patients and 454 healthy controls.ResultsThe age of diagnosis was significantly higher in the "Missed Screening" group compared to the "Newborn Screening" group (74.50 vs. 18.00 days, P A.ConclusionsCombining multiple metabolic markers during NBS significantly improves sensitivity and specificity for detecting missed NICCD cases. However, the relationship between genetic mutations and missed cases remains unclear.
Wang, Lihua; Liu, Wenjing; Zhou, Xueya; Fu, Shenglei; Yang, Ping; Tong, Chuan
Soil Ecology Letters,
2025
7
(1)
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ESCI
摘要 : EOC dominated the labile organic carbon pool in coastal wetland soil. Invasion of mudflats by Spartina alterniflora increased soil EOC and DOC. EOC and DOC decreased when Spartina marshes were converted into aquaculture ponds. SOC mineralization rate increased most strongly with increasing DOC. Latitudinal gradients in EOC and MBC suggest a temperature-dependent effect. Labile organic carbon (LOC) plays a pivotal role in soil biogeochemistry and ecological functions. China's coastal wetlands have been profoundly impacted due to plant invasion and land use change, but the effects on soil LOC quantity and composition are unclear. This study analyzed the soil LOC components—namely, dissolved organic carbon (DOC), easily oxidizable carbon (EOC), and microbial biomass carbon (MBC)—across twenty-one coastal wetlands in southeastern China. These wetlands underwent a uniform land cover transition from native mudflats (MFs) to Spartina alterniflora marshes (SAs), and eventually to aquaculture ponds (APs). The results indicated that EOC was the dominant component of soil organic carbon (SOC) (57.5%–61.6%), followed by MBC (3.5%–4.5%) and DOC (<0.5%). The transition from MFs to SAs led to a rise in mean EOC and DOC by 18.6% and 41.4%, respectively. Subsequent conversion of SAs to APs resulted in a reduction in mean EOC and DOC by 5.9% and 20.3%, respectively. MBC did not differ significantly among habitat types. Total nitrogen availability was the main driver of changes in LOC across both land cover change scenarios. The mineralization rate of SOC were more strongly correlated with DOC than EOC and MBC. Microbial turnover of EOC was temperature dependent across the geographical range. These finds highlighted that plant invasion and land use change affected LOC fractions and subsequent SOC stability and carbon emissions in coastal wetlands.
Kun Mei; Haonan Shi; Yupeng Wu; Randy A. Dahlgren; Xiaoliang Ji; Minmin Yang
Ecological Indicators,
2025
170
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EI
SCIE
摘要 : Urban river water pollution is a serious environmental challenge confronting urban areas worldwide. The scientific quantification of the impact of landscape patterns on water quality provides essential support for pollution control and watershed landscape optimization. In this study, we onducted an in-depth and meticulous exploration of the relationship between the landscape patterns and water quality in the Wen-Rui Tang River watershed at four distinct spatial scales (single subwatershed, dynamic subwatershed, riparian buffer, and reach buffer) and two time scales (dry season and rainy season). Regression models were used to investigate the quantitative impact of landscape patterns on water quality, redundancy analysis was employed to assess the overall explanatory power, and non-parametric point-of-change analysis was applied to evaluate variations in water quality along landscape gradients and identify critical landscape threshold ranges. The results indicate that the model performance of disolved oxygen at the reach buffer scale, pH and total nitrogen at the riparian buffer scale, and ammonia nitrogen, nitrate nitrogen, and total phosphorus at the dynamic subwatershed scale were better than at other scales. Overall, the dynamic subwatershed scale showed the strongest explanatory power for water quality indicators, with 91.2 % for the rainy season and 83.2 % for the dry season. The largest patch index of agricultural land (A_LPI) and water bodies (W_LPI) were identified as the most critical landscape indices influencing water quality at the dynamic sub-watershed scale, with threshold values for these indices established as A_LPI 1.5 %. These findings offer a comprehensive understanding of the spatiotemporal impacts of landscape patterns on water quality and offer valuable insights for watershed management and ecological planning.
Xi, Xu; Tian, Huimin; Du, Jinglong; Wu, Mingkang; Huang, Rui
Earth Science Informatics,
2025
18
(1)
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SCIE
摘要 : Digital watermarking is crucial for securing vector maps, requiring imperceptible embedding to preserve map integrity and data quality. Traditional assessments of watermarked vector map fidelity, relying on visual inspection and error analysis, often overlook the intrinsic map characteristics, which results in inaccurate evaluations. To address the issue, this study uses topological consistency, geometric feature similarity, and coordinate error as the first-level indicators, and ten indicators such as element closure, topological error rate, angle change rate, maximum error, graphic complexity and so on as the second-level indicators to describe the variation in vector maps after watermark embedding. Considering the uncertainty and importance of indicators, a fidelity assessment model for watermarked vector maps is constructed based on fuzzy comprehensive evaluation. Furthermore, the model optimizes the indicator weights using the Random Forest algorithm, thereby mitigating subjectivity and improving the accuracy of fidelity assessments. This approach provides a scientifically robust evaluation framework aligned with real-world data, offering a more rational alternative to traditional error-based evaluations. Additionally, it provides guidance for determining the watermark embedding strength, facilitating the balance between robustness and invisibility, thus ensuring quality standards and optimal algorithm performance.
Hengchen Wei; Peiyi Wang; Jing Li; Qingyan Wang; Fengwei Zhang; Dongyao Sun
Marine Pollution Bulletin,
2024
209
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EI
SCIE
摘要 : N mineralization and immobilization are important N cycling pathways. While they are widely studied in individual coastal habitats, they are rarely compared across different habitats along the river-estuary-sea continuum. We addressed this gap by investigating gross nitrogen mineralization (GNM) and gross ammonium immobilization (GAI) in urban rivers, estuary, and adjacent sea of the Yangtze River-Estuary-East China Sea system. We sampled 30 stations during winter and summer, quantifying GNM and GAI rates using enriched 15 N stable isotopes. We observed a 65 % decrease in total organic C concentrations and a three-fold increase in fungi/bacteria ratios from river to sea. Along the gradient, GNM decreased from 5.41 to 2.41 μg N g −1 d −1 and GAI decreased from 6.08 to 3.27, with their ratios generally >1, indicating nitrogen limitation. Redundant analyses identified temperature and Fe as significant environmental variables. This study highlights the importance of cross-habitat comparisons to N cycling studies in coastal systems.