Spatio-temporal variation and coupling coordination relationship between urbanisation and habitat quality in the Grand Canal, China

F Tang, L Wang, Y Guo, M Fu, N Huang, W Duan… - Land Use Policy, 2022 - Elsevier
Urbanisation leads to dramatic changes in regional land use, which significantly affects
habitat quality. Research on the coupling coordination relationship between urbanisation …

Effects of human activity intensity on habitat quality based on nighttime light remote sensing: A case study of Northern Shaanxi, China

Y Zhao, Z Qu, Y Zhang, Y Ao, L Han, S Kang… - Science of the Total …, 2022 - Elsevier
Habitat quality is a crucial expression of the value of ecosystem services. Habitat quality
issues caused by human activities are troubling dilemmas worldwide, and there is an urgent …

[HTML][HTML] Prediction modelling framework comparative analysis of dissolved oxygen concentration variations using support vector regression coupled with multiple …

X Nong, C Lai, L Chen, D Shao, C Zhang, J Liang - Ecological Indicators, 2023 - Elsevier
Dissolved oxygen (DO) is an essential indicator for assessing water quality and managing
aquatic environments, but it is still a challenging topic to accurately understand and predict …

Economic and socioecological perspectives of urban wetland loss and processes: A study from literatures

S Ghosh, S Pal - Environmental Science and Pollution Research, 2023 - Springer
Existing literatures across the world highlighted the causes and rate of wetland loss;
however, so far, no researches tried to analyze how these are guided by the socioeconomic …

Dam inundation simplifies the plant community composition

J Zheng, M Arif, S Zhang, Z Yuan, L Zhang, J Li… - Science of the Total …, 2021 - Elsevier
The construction of dams has caused riparian habitat degradation and ecosystem service
loss globally. It is critical to assess the response of riparian plant communities to inundation …

Is HEC-RAS 2D accurate enough for storm-event hazard assessment? Lessons learnt from a benchmarking study based on rain-on-grid modelling

P Costabile, C Costanzo, D Ferraro, P Barca - Journal of Hydrology, 2021 - Elsevier
Abstract Rain-on-Grid (RoG) modelling is an increasingly popular approach within the storm
risk management, in which the hydrological and hydrodynamic flood processes are …

Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural …

S Talukdar, MW Naikoo, J Mallick, B Praveen… - Agricultural …, 2022 - Elsevier
CONTEXT India's increasing population growth and unsystematic land cover transformation
have led to land degradation and a decline in agricultural production. To achieve optimum …

Trends and Hotspots in Riparian Restoration Research: A Global Bibliometric Analysis during 1990–2022

J Zheng, L Wang, C Li - Forests, 2023 - mdpi.com
Human activities and climate change have increased damage to riparian forest and their
functions, stimulating interest in riparian restoration research and resulting in a surge of …

[HTML][HTML] Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models

S Mahato, S Pal, S Talukdar, TK Saha, P Mandal - Geoscience Frontiers, 2021 - Elsevier
The flood hazard management is one of the major challenges in the floodplain regions
worldwide. With the rise in population growth and the spread of infrastructural development …

How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region

TK Saha, S Pal, S Talukdar, S Debanshi… - Journal of …, 2021 - Elsevier
Although the effect of digital elevation model (DEM) and its spatial resolution on flood
simulation modeling has been well studied, the effect of coarse and finer resolution image …