Zhixiong Tang

ORCID: 0000-0003-4070-9471
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Industrial Gas Emission Control
  • Land Use and Ecosystem Services
  • Catalytic Processes in Materials Science
  • Coastal wetland ecosystem dynamics
  • Municipal Solid Waste Management
  • Peatlands and Wetlands Ecology
  • Wastewater Treatment and Nitrogen Removal
  • Landfill Environmental Impact Studies
  • Flood Risk Assessment and Management
  • Heavy metals in environment
  • Tropical and Extratropical Cyclones Research
  • Ecology and Vegetation Dynamics Studies
  • Mineral Processing and Grinding
  • Soil erosion and sediment transport
  • Gas Sensing Nanomaterials and Sensors
  • Air Quality and Health Impacts
  • Coastal and Marine Dynamics
  • Granular flow and fluidized beds
  • Groundwater and Isotope Geochemistry
  • Agricultural Engineering and Mechanization

Chinese Academy of Sciences
2023-2025

Institute of Subtropical Agriculture
2023-2025

University of Chinese Academy of Sciences
2025

Yantai Institute of Coastal Zone Research
2023-2024

Xi'an University of Science and Technology
2022-2024

Shaanxi University of Science and Technology
2024

Nankai University
2022

South China Institute Of Environmental Sciences
2007-2010

Ministry of Ecology and Environment
2010

Assessing ecosystem services (ESs) is vital for the environment development. This study explored variation characteristics of ESs under restoring vegetation since Grain Green Project (GFGP) in Jinghe Watershed, which a typical watershed experiencing severe soil erosion Loess Plateau China. Herein, fractional cover (FVC) selected as an indicator changes restoration from 2000 to 2020. Simulations are based on Soil and Water Assessment Tool (SWAT), Carnegie Ames-Stanford Approach (CASA) model,...

10.1016/j.ecolind.2022.109183 article EN cc-by-nc-nd Ecological Indicators 2022-07-22

Accurately assessing future land use/cover change (LUCC) and habitat quality (HQ) is vital for ensuring sustainable use of coastal ecosystem services, but most studies ignore the effects seawater inundation. This study developed a framework based on PLUS model InVEST-HQ that considers inundation due to sea level rise (SLR) subsidence. We used this simulate LUCC HQ under different scenarios in Yellow River Delta (YRD). The results showed: (1) From 1991 2020, natural wetlands decreased by...

10.1016/j.ecolind.2023.111394 article EN cc-by-nc-nd Ecological Indicators 2023-12-09

ABSTRACT Globally, the importance of soil conservation (SC) has been increasingly recognized, with a growing demand for use more accurate erosion models to assess and investigate its driving mechanisms. This is essential meet requirements land management ecological restoration. study developed framework calibrating sediment module K, C, P factors SWAT model using sampling data remote sensing measurements. Taking Jinghe River Basin as an example, optimized was utilized spatiotemporal...

10.1002/ldr.5654 article EN Land Degradation and Development 2025-05-19

Understanding the mechanisms of coastal wetland ecosystem carbon sink function is crucial for adapting to, mitigating, and predicting global climate change. Landscape metrics Carnegie Ames Stanford Approach (CASA) model were used to quantify spatiotemporal patterns soil organic (SOC) vegetation sequestration (VCS) in Yellow River Delta (YRD). GeoDetector was explore effects various factors influencing VCS. The results showed that: (1) From 1999 2020, area natural wetlands non-wetlands...

10.1038/s41598-024-80186-8 article EN cc-by-nc-nd Scientific Reports 2024-11-22

The conditioner was one of the three major components ring die granulator, yet there had been a lack analysis and optimization combined parameters conditioner. Taking blade installation angle, speed extruder shaft, filling rate as test factors, using highest output lowest energy consumption principle for scheme, study used productivity torque shaft reference index scheme. A three-factor five-level orthogonal factor experiment designed. results indicated that most significant influence on...

10.1117/12.3030266 article EN 2024-06-05

在模拟水泥分解炉气氛条件下,考察了CO2浓度对污泥燃料N(Fuel-N)析出特性的影响,结果表明污泥Fuel-N的析出形式主要为NH3、HCN及NOx.在研究的CO2浓度范围(体积分数0~35%)内,CO2浓度的升高将消耗更多的含氮位点和H自由基,导致NH3的析出受到抑制;而CO2能直接氧化HCN或—CN官能团,导致HCN的析出随着CO2浓度的升高逐渐降低.NOx的析出量随CO2含量的升高先减小后升高,在25%时达到最小值.NOx的生成和还原反应是同步发生的,在燃烧温度和O2含量一定的情况下,NOx的析出主要受NOx还原反应的影响,研究表明燃烧过程中同时存在NOx的气相均相还原反应和气固异相还原反应.当CO2浓度从0上升至25%时,CO2分子与污泥焦反应生成的CO相对增加,在污泥焦表面的催化作用下,NOx被CO还原的量增多,此时污泥焦对NOx的气固异相还原占据主导地位;继续增加CO2浓度至35%时,还原性气体HCN生成幅度下降较大,此时HCN、NH3对NOx的气气均相还原占据主导地位,导致NOx的析出逐渐升高.

10.13671/j.hjkxxb.2018.0395 article VI 2019-03-06
Coming Soon ...