Drone-Based Ecohydraulic Signatures of Fully-Vegetated Ditches: Real-Scale Experimental Analysis DOI Creative Commons
Giuseppe Francesco Cesare Lama, Mariano Crimaldi, Giovanni Battista Chirico

et al.

Published: Oct. 20, 2022

The prediction of the ecohydraulic and ecohydrological structures vegetated flows is extremely important; particularly because well-known Climate Change Global Warming implications. This study aims at monitoring real-scale Ecohydrodynamics ditches hardly covered by riparian stands, through analysis their reflectance signature. A system composed a cruising drone thermographic camera was employed in present experimental study. Once main average turbulence traits were measured directly field, correlation between plant's Leaf Area Index (LAI) thermal properties studied to assess impact drone-based thermometry methods techniques on predictions flow trends waterways.

Language: Английский

Three-Dimensional Hole Size (3DHS) Approach for Water Flow Turbulence Analysis over Emerging Sand Bars: Flume-Scale Experiments DOI Open Access
Mohammad Amir Khan,

Nayan Sharma,

Giuseppe Francesco Cesare Lama

et al.

Water, Journal Year: 2022, Volume and Issue: 14(12), P. 1889 - 1889

Published: June 12, 2022

The many hydrodynamic implications associated with the geomorphological evolution of braided rivers are still not profoundly examined in both experimental and numerical analyses, due to generation three-dimensional turbulence structures around sediment bars. In this research, 3D velocity fields were measured through an acoustic Doppler velocimeter during flume-scale laboratory runs over emerging sand bar model, reproduce conditions real rivers, Turbulent Kinetic Energy (TKE) components analyzed discussed here detail. Given three-dimensionality water flow proximity bar, statistical analysis octagonal bursting events was applied analyze discuss different structures. main novelty study is proposal Hole Size (3DHS) analysis, used for separating extreme observed from low-intensity events.

Language: Английский

Citations

26
On retrieving the chromium and zinc concentrations in the arable soil by the hyperspectral reflectance based on the deep forest DOI Creative Commons

Zi-Hao Zhang,

Fei Guo,

Zhen Xu

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 144, P. 109440 - 109440

Published: Sept. 15, 2022

It has drawn growing attention to retrieve heavy metal concentration in naturally contaminated arable soil by its spectral reflectance. However, such a reflectance is generally affected various elements, posing significant challenge ensure the inversion accuracy for specified concentration. The Deep Forest 2021 (DF21) algorithm shows excellent performance deep learning, which provides potential method hyperspectral with high precision. This paper takes Chromium (Cr) and Zinc (Zn) concentrations as examples, it explores DF21 retrieving of soil. By so doing, pretreatments Principal Component Analysis (PCA) are applied Subsequently, obtained data, combined DF21, used establish models. Further, performances established models compared identify optimal one Cr Zn concentrations. results show that pretreatment could potentially impact accuracy, but exerts little or even negative on once PCA applied. As result, together original spectra processed PCA, i.e., ORI-PCA-DF21 model, optimum both also found concentration, relatively lower degree heterogeneity, higher suggesting spatial heterogeneity affect model.

Language: Английский

Citations

20
Effects of land use and land cover change under shared socioeconomic pathways on future climate in the Yellow River basin, China DOI
Xutong Ru, Longxin Qiao, Haopeng Zhang

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 55, P. 101867 - 101867

Published: March 15, 2024

Language: Английский

Citations

4
Temporal land use change and its effects on climate in Elmalı basin using GIS and remote sensing DOI Creative Commons
Abdurrahman Eymen,

H. Ziyagil

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Language: Английский

Citations

0
Environmental Efficacy and Cost Effectiveness of Best Management Practices for Sediment Control in an Arid and Semiarid Watershed DOI
Lei Wu, J. Li, Xiaoyi Ma

et al.

Journal of Hydrologic Engineering, Journal Year: 2025, Volume and Issue: 30(3)

Published: Feb. 24, 2025

Language: Английский

Citations

0
Evaluating Certain Approaches for Computing Land Surface Temperature Over Alluvial Plains of Northern India DOI

Sudarshan Prasad,

Derrick Mario Denis,

Mukesh Kumar

et al.

Published: April 9, 2025

Abstract Dual thermal bands capability of Landsat 8 allows for retrieving land surface temperature (LST) which is essential in agricultural and environmental studies. Accuracy LST retrieval depends upon capturing emissivity (ε) with precision. Scientific community have different approaches to determine using ε as one the inputs. This research evaluates Twumasi, SEBAL, Stathopoulou over alluvial plain Northern India. determined help these OLI/ TIR data from 8-12-2021 12-11-2023, were validated ground observations air recorded Eddy covariance measurements, a highly sophisticated precise techniques turbulent flux measurements. It also presents an attempt modify approach estimate single band 10 instead 11. Results revealed that SEBAL yielded better estimates than approach. Improved value error statistics like mean error, bias absolute relative root square good values Willmott index agreement, Nash-Sutcliffe efficiency, Pearson correlation coefficient observed between obtained modified Hence, use compute recommended enhance quality decision-making process.

Language: Английский

Citations

0
Evaluating water resources carrying capacity: The empirical analysis of Hubei Province, China 2008–2020 DOI Creative Commons

Linna Lu,

Yalin Lei, Tao Wu

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 144, P. 109454 - 109454

Published: Sept. 20, 2022

Language: Английский

Citations

18
Effects of Land Use and Land Cover Change on Temperature in Summer over the Yellow River Basin, China DOI Creative Commons
Xutong Ru, Hongquan Song, Haoming Xia

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(17), P. 4352 - 4352

Published: Sept. 2, 2022

As the main driving force of global climate change, land use and cover change (LUCC) can affect surface energy balance interaction between atmosphere. This effect will cause further temperature changes. The Yellow River Basin is an important ecological security barrier in China. Therefore, exploring impact its LUCC on changes provide certain help for future land-use planning Basin. Here, we conducted two numerical simulation experiments (Case2015 Case1995) by using weather research forecasting (WRF) model to quantify summer 2 m air (T2 m). results showed that led overall warming trend T2 Urban expansion caused rise approximately 0.3 °C 0.6 °C. A was also identified areas where farmland bare were converted grassland, with increasing around 0.4

Language: Английский

Citations

15
Application of an Optimization Model for Water Supply Chain Using Storage Reservoir Operation for Efficient Irrigation System DOI Creative Commons
Faisal M. Alfaisal, Shamshad Alam, Raied Saad Alharbi

et al.

Discrete Dynamics in Nature and Society, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 13

Published: Jan. 31, 2023

The model was created to assist in the appropriate allocation of water produce crops optimize net profit through monthly reservoir operation. maximizes crop revenue and determines type size cultivated for each zone, taking into account availability. following factors constrain optimization model: (1) availability; (2) demand irrigated farmland crops; (3) limited areas zone; (4) projected final storage; (5) proportional sharing rule (PSR) zone. linear programming (LP) algorithm is used formulate model, which then solved using general algebraic modeling system (GAMS). applied Hali Dam validated two criteria: baseline scenarios (non-PSR) PSR all zones must have same amount water. results demonstrate that give these identical rights delivery, with a total reduction around 2.6 percent at planned storage 100 Hm3. As result, current can be utilised dam consumption future. methodology Saudi Arabia model’s practical application.

Language: Английский

Citations

7
Dynamic monitoring of phycocyanin concentration in Chaohu Lake of China using Sentinel-3 images and its indication of cyanobacterial blooms DOI Creative Commons
Jie Wang, Zhicheng Wang,

Yu-huan Cui

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 143, P. 109340 - 109340

Published: Aug. 26, 2022

Phycocyanin (PC) is an indicator pigment of cyanobacteria in water. Monitoring the dynamic variation PC concentration lakes by satellite remote sensing great significance for effective prevention and control cyanobacterial blooms (CBs). Few studies have quantitatively monitored long-term water explored relationship between CBs based on advantages high temporal spectral resolution Sentinel-3 OLCI images. In this study, a retrieval model suitable images was constructed applied to image dataset from May 2016 November 2021 analyze spatiotemporal variations Chaohu Lake China. The factors influencing its indicative outbreak were also explored. results show that gradient boosting regression algorithm has best performance (R2 = 0.86, root mean square error 45.44 ug/L, absolute percentage 26.27 %), which application potential other quality parameters. summer autumn, western higher than lake parts, mainly related nutrient prevailing wind direction part. During 2016–2021, average 2019 highest, 2017 lowest, affected air temperature precipitation. consistency with proportion area, 303.9 μg/L necessary condition outbreak. This study revealed could provide useful data source high-frequency monitoring concentrations reservoirs, quantitative relevant early warning inland

Language: Английский

Citations

7