Low-Permeability Layered Clay Soil Hinders Organic Macromolecular Pollutant Migration in the Transition Zone of the Jianghan Plain–Dabie Mountain Area DOI Open Access
Tingting Shi, Wenyan Liu, Yulin Yang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(11), P. 1522 - 1522

Published: May 25, 2024

With the development of industry and agriculture, level organic pollutants in groundwater exceeds standard some parts transition zone Jianghan Plain–Dabie Mountain area. To investigate ability low-permeability layered clay soil study area to hinder migration macromolecular pollutants, traditional tracer fluorescein sodium was used represent pollutants. The adsorption behavior were explored through indoor experiments. Additionally, a one-dimensional column solute transport model established for using HYDRUS-1D obtain dispersivities dispersion coefficients soil. results showed that breakthrough duration up 116 days silty soil, while sandy sub-sandy only 2.6 days. coefficient 0.0038 cm2/d 4.724 decreased with increasing fraction Compared homogeneous dispersivity clayed decreased, also changed. It indicates effectively hinders downward due its low permeability pollutant capacity. Simultaneously, lateral water at different interfaces prolongs time reach underlying aquifer. Low-permeability may act as short-term barrier deeper This provides data support theoretical basis future pollution prevention control

Language: Английский

Driving mechanisms and multi-scenario simulation of land use change based on National Land Survey Data: a case in Jianghan Plain, China DOI Creative Commons
Heng Zhou,

Mingdong Tang,

Jun Huang

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: July 24, 2024

The Jianghan Plain is simultaneously responsible for ecological protection, food security and urbanization, land use conflicts are prominent. Revealing the driving mechanism of use/cover change (LUCC) simulating pattern can help to coordinate in future. Utilizing National Land Survey Data (NLSD) Jiangling County (2011–2020) patch-generating simulation (PLUS) model, this paper analyzed characteristics evolution, applied random forest classification (RFC) analyze mechanism, simulated 2035 under three scenarios natural development, planning guidance protection through Markov Cellular Automaton based on multiple seeds (CARS) models, proposed several countermeasures. study found that: 1) From 2011 2020, town construction increased, village land, agricultural decreased. 2) factors LUCC were socio-economic factors, spatial descending order. 3) In scenarios, trend expansion, encroachment inevitable by 2035. 4) It imperative actively advocate large-scale mechanization informatization production, encourage repurposing idle inefficiently used facilitate multi-purpose utilization, implement a policy locally balancing occupation compensation cultivated land. 5) When employing PLUS model simulate LUCC, using continuous NLSD yielded more accurate results than remote sensing image interpretation data. This offers theoretical basis coordinated development Plain, presents method enhance accuracy model.

Language: Английский

Citations

6

Study on the characteristics and scenario simulation of land use change in the Chaohu Lake Basin, China DOI Creative Commons

Yunfeng Ruan,

Chunyu Jiao,

Yashu Duan

et al.

Environmental Research Communications, Journal Year: 2024, Volume and Issue: 6(9), P. 095011 - 095011

Published: Aug. 30, 2024

Abstract Effectively evaluating the historical and future land use/cover change (LUCC) is significant for effective use planning management, ecological conservation, restoration. Taking Chaohu Lake Basin (CLB) as study area, GIS technology geographic detector were used to quantitatively analyze characteristics driving factors of LUCC under three periods in 2000, 2010, 2020 CLB. This aimed comprehend alterations that have transpired over last two decades. In addition, PLUS model was utilized forecast trends scenarios: natural development, urban protection by 2030 The results suggest a decrease cultivated while considerable increase construction area from 2000 expansion mainly driven conversion area. Additionally, slope identified primary factor influencing LUCC, with q-values 0.275, 0.266, 0.258 2020, respectively. interaction between soil type, distance trunk road secondary road, GDP strong. explanatory capacity socioeconomic demonstrated steady increase. simulation indicate an still occurred CLB, particularly development scenario. Nonetheless, notable deceleration appeared forest grassland areas not significant. However, water bodies continued enlarge, although substantial. can provide policy references scientific management long-term strategic resources

Language: Английский

Citations

2

Low-Permeability Layered Clay Soil Hinders Organic Macromolecular Pollutant Migration in the Transition Zone of the Jianghan Plain–Dabie Mountain Area DOI Open Access
Tingting Shi, Wenyan Liu, Yulin Yang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(11), P. 1522 - 1522

Published: May 25, 2024

With the development of industry and agriculture, level organic pollutants in groundwater exceeds standard some parts transition zone Jianghan Plain–Dabie Mountain area. To investigate ability low-permeability layered clay soil study area to hinder migration macromolecular pollutants, traditional tracer fluorescein sodium was used represent pollutants. The adsorption behavior were explored through indoor experiments. Additionally, a one-dimensional column solute transport model established for using HYDRUS-1D obtain dispersivities dispersion coefficients soil. results showed that breakthrough duration up 116 days silty soil, while sandy sub-sandy only 2.6 days. coefficient 0.0038 cm2/d 4.724 decreased with increasing fraction Compared homogeneous dispersivity clayed decreased, also changed. It indicates effectively hinders downward due its low permeability pollutant capacity. Simultaneously, lateral water at different interfaces prolongs time reach underlying aquifer. Low-permeability may act as short-term barrier deeper This provides data support theoretical basis future pollution prevention control

Language: Английский

Citations

0