Spatiotemporal Changes in Water Yield Function and Its Influencing Factors in the Tibetan Plateau in the Past 20 Years DOI Creative Commons

Lingfeng Lv,

Longbin Han, Xin Wen

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 14(6), P. 925 - 925

Published: May 25, 2023

The Tibetan Plateau, known as the “Water Tower of Asia”, has made important contributions to global climate regulation and water conservation. With change shortages, yield reserves on Plateau have undergone obvious changes, its function conservation gradually attracted widespread attention. results show that total in past 20 years is 128,403.06 billion m3, spatially reduced from southeast northwest, interannual variation large but increases slowly overall. capacity higher areas less than 3000 m 3500~4500 m, it stronger with increase slope. extremely strong middle north subtropical zone. Ecological zones high are mostly covered woodland alpine meadows. precipitation (P) dominant factor before actual evapotranspiration (AET) = 500 mm, then negative force AET enhanced. High altitude inhibits positive effect normalized vegetation index (NDVI), at altitudes shows an almost linear relationship leaf area (LAI). When LAI > 0.2, slower slope, lower growth rate. spatial distribution P consistent significantly positively correlated; NDVI changes affected yield, while had opposite effect. In summary, combined topographic factors, this study emphasizes influence spatiotemporal which can provide a theoretical basis for assessment prediction area.

Language: Английский

Improving the observations of suspended sediment concentrations in rivers from Landsat to Sentinel-2 imagery DOI Creative Commons
Zhiqiang Qiu,

Dong Liu,

Nuoxiao Yan

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 134, P. 104209 - 104209

Published: Oct. 11, 2024

Language: Английский

Citations

2
Optimizing EEG Signal Classification for Motor Imagery BCIs: FilterBank CSP with Riemannian Manifolds and Ensemble Learning Models DOI
M. Moein Esfahani,

Mojtaba Najafi,

Seyed Hossein Sadati

et al.

Published: Dec. 14, 2023

Motor imagery (MI) is a compelling cognitive phenomenon situated at the intersection of neuroscience and technology, offering insights into human cognition spectrum practical applications. Electroencephalography (EEG) emerges as non-invasive means to record electrical activity within brain. imagery-based Brain-Computer Interfaces (MI-BCIs) enables translation cerebral implementable commands found in sensorimotor areas This paper offers comprehensive exploration MI, delving its implications, complexities it entails, critical role this research focuses on enhancing classification accuracy EEG signals with Imagery task. We employ approach that integrates Filter Bank Common Spatial Pattern (CSP) Riemannian manifold extract features, aiming maintaining signal details. Furthermore, we utilize Linear Discriminant Analysis (LDA) alongside advanced methods, such AdaBoost Total Boost, elevate accuracy. Our results, reveal significant improvements contributes advancement MI opens new avenues for applications fields brain-computer interfaces medical diagnostics.

Language: Английский

Citations

6
Improved Water Chlorophyll-A Retrieval Method Based On Mixture Density Networks Using In-Situ Hyperspectral Remote Sensing Data DOI
Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Amir M. Chegoonian

et al.

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Journal Year: 2023, Volume and Issue: unknown, P. 3745 - 3748

Published: July 16, 2023

Continuous monitoring of chlorophyll-a (chl-a), whose shortage or excess leads to detrimental consequences on aquatic ecosystems, provides a better understanding contamination sources establish effective measures. Hyperspectral in-situ measurements at German inland waterbodies were used estimate chl-a remotely. In this vein, Mixture Density Networks (MDNs) employed, which outperformed other Machine Learning-based Regression (MLR) techniques due their ability handle ill-posed problems. Previous studies combined the predicted Gaussian functions MDNs using maximum likelihood simple averaging chl-a, failed effectively capture dependencies multimodal distributions. To address this, parameters MDN utilized several Bayesian optimized MLRs, e.g., Support Vector Regressors (SVR), Random Forest (RF), and Gradient Boosting (GBR). The results revealed that integrating with MLRs improved estimation chl-a. combination MDN+RF showed best performance an improvement 3.02 µg/L, 4.22%, 0.054 for RMSE, MAPE, RMSLE, respectively.

Language: Английский

Citations

5
Surface Water Changes and Water Depletion of Lake Hamrin, Eastern Iraq, Using Sentinel-2 Images and Geographic Information Systems DOI Creative Commons
Huda Jamal Jumaah, Mohammed Hashim Ameen, Bahareh Kalantar

et al.

Advances in Environmental and Engineering Research, Journal Year: 2023, Volume and Issue: 04(01), P. 1 - 11

Published: Jan. 12, 2023

Iraq’s lakes and rivers are currently exposed to drought because of climatic political conditions. This study uses satellite images geographic information systems display the water depletion change in surface area Hamrin Lake. Sentinel-2 imagery 2018 2022 was used analyze changes depletion. A comparison made by studying that happened between respectively. Moreover, a supervised classification technique implemented using Support Vector Machine algorithm (SVM). Besides shrinkage Lake determined based on 2017 Normal Difference Water Index (NDWI). Findings showed an extreme occurred lake, which had decreased 73% years changed land 2022. Based resultant maps clear alteration is notable shape lake from north southeast where maximum retraction occurred. The 144 km<sup>2</sup> 39 concentrated western part lake. Besides, lake's capacity has become 234 million cubic meters, amount it very little while its more than two billion meters. sharp drop level indicates what flowing less released it, especially due lack rain. In addition drought, neighboring countries have taken measures courses, cut off some rivers, build dams, all additional influential factors impose quick intervention action prevent drying out completely.

Language: Английский

Citations

4
Spatiotemporal Changes in Water Yield Function and Its Influencing Factors in the Tibetan Plateau in the Past 20 Years DOI Creative Commons

Lingfeng Lv,

Longbin Han, Xin Wen

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 14(6), P. 925 - 925

Published: May 25, 2023

The Tibetan Plateau, known as the “Water Tower of Asia”, has made important contributions to global climate regulation and water conservation. With change shortages, yield reserves on Plateau have undergone obvious changes, its function conservation gradually attracted widespread attention. results show that total in past 20 years is 128,403.06 billion m3, spatially reduced from southeast northwest, interannual variation large but increases slowly overall. capacity higher areas less than 3000 m 3500~4500 m, it stronger with increase slope. extremely strong middle north subtropical zone. Ecological zones high are mostly covered woodland alpine meadows. precipitation (P) dominant factor before actual evapotranspiration (AET) = 500 mm, then negative force AET enhanced. High altitude inhibits positive effect normalized vegetation index (NDVI), at altitudes shows an almost linear relationship leaf area (LAI). When LAI > 0.2, slower slope, lower growth rate. spatial distribution P consistent significantly positively correlated; NDVI changes affected yield, while had opposite effect. In summary, combined topographic factors, this study emphasizes influence spatiotemporal which can provide a theoretical basis for assessment prediction area.

Language: Английский

Citations

4