
Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown
Published: Aug. 21, 2023
Language: Английский
Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown
Published: Aug. 21, 2023
Language: Английский
Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 318, P. 114608 - 114608
Published: Jan. 23, 2025
Language: Английский
Citations
0ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2025, Volume and Issue: 223, P. 399 - 412
Published: March 29, 2025
Language: Английский
Citations
0International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)
Published: April 27, 2025
Language: Английский
Citations
0Remote Sensing in Earth Systems Sciences, Journal Year: 2025, Volume and Issue: unknown
Published: May 1, 2025
Language: Английский
Citations
0Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 96, P. 104662 - 104662
Published: May 18, 2023
Language: Английский
Citations
8Remote Sensing, Journal Year: 2023, Volume and Issue: 15(3), P. 657 - 657
Published: Jan. 22, 2023
Timely and quantitatively evaluating regional eco-environmental quality (EEQ) is of great significance for realizing sustainable development goals. Especially cloudy areas, it was a challenge to construct EEQ dataset with high resolution. However, existing studies failed consider the influence land surface season elements in EEQ. Therefore, this study aimed promote an accurate EEQ-evaluating framework areas. Zhaotong city, typical karst region, chosen as area. First, we integrated multi-source spatiotemporal datasets constructed novel comprehensive evaluation index (ECEI) assess its from 2000 2020. Next, standard deviation ellipse (SDE) trend analysis methods were applied investigate EEQ’s change trends. Finally, ecological (EI) values different years calculated validate effectivity ECEI. The main findings follows: (1) showed upward-fluctuating (0.0058 a−1), average ECEI 0.729, 0.693, 0.722, 0.749, 0.730. (2) spatial distribution pattern north low south, Zhaoyang district having lowest value. (3) From 2020, major axis moved northeast city θ SDE changing 57.06° 62.90°, thus, indicating improvement northeastern regions’ (4) coefficients determinant (R2) between EI 0.84, which higher than that EI–RSEI (R2 = 0.56). This indicated our promoted could acquire more results provide suggestions relevant policymakers.
Language: Английский
Citations
7Water, Journal Year: 2024, Volume and Issue: 16(13), P. 1771 - 1771
Published: June 21, 2024
In recent years, urban waterlogging disasters have become increasingly prominent. Physically based simulation models require considerable computational time. Therefore, rapid and accurate prediction of pluvial floods are important for disaster prevention mitigation. For this purpose, we explored an method on a long short-term memory neural network model that integrates attention mechanism 1D convolutional (1DCNN–LSTM–Attention), using the diversion Jinshui River in Zhengzhou, China, as case study. method, 1DCNN is responsible extracting features from monitoring data, LSTM capable learning time-series data more effectively, Attention highlights impact input effectiveness. The results indicated following: (1) exhibited good accuracy. Pearson correlation coefficient exceeded 0.95. It was 50–100 times faster than InfoWorks ICM model. (2) Diversion pipelines can meet design flood standard 200-year return period, aligning with expected engineering objectives. (3) channel significantly reduced extent inundation. Under 30-year period rainfall scenario, maximum inundation area decreased by 1.46 km2, approximately equivalent to 205 international soccer fields.
Language: Английский
Citations
2The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175631 - 175631
Published: Aug. 19, 2024
Language: Английский
Citations
2Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112088 - 112088
Published: Sept. 1, 2024
Language: Английский
Citations
2Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144381 - 144381
Published: Dec. 1, 2024
Language: Английский
Citations
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