A dataset of spatio-temporal variations in the Pinglu Canal region from 2000 to 2023

The canal is a crucial water transportation channel for regional development, serving not only as
a corridor for the circulation of goods but also as a vital link fostering the sustainable development of
regional society, economy, and environment. The construction and operation of the canal are directly
related to the development of the areas along its route. As one of the significant projects in the Western
Land-Sea New Channel, the Pinglu Canal boasts enormous potential for social and economic benefits. Environmental factors are integral to ensuring the sustainability of regional development along the route. To conduct an environmental assessment of the canal basin and meet the requirements for monitoring
regional spatio-temporal characteristic changes, we define the basin and administrative divisions of the
Pinglu Canal region as the scope of the study area in the paper. By integrating currently available data on
various factors including social, economic, and environmental aspects, we employed a standardized grid
methodology to obtain a kilometer-level multidimensional, spatiotemporally consistent digital
environmental dataset for the canal. The environmental dataset comprises four major categories of
parameters: hydro-meteorological, ecological environment, atmospheric quality, and socio-economic. In
total, it encompasses 26 sets of parameters, with 19 sets related to the watershed and 7 sets associated with
township delineations. All parameters in the dataset are publicly accessible and have undergone rigorous
data quality assessments. Leveraging these 26 sets of parameters, we conducted spatiotemporal
characteristic analysis on 14 sets of long-time series parameters. We calculated the average annual variation
of each parameter, and made 5 data files for the research area. This dataset can facilitate regional data
visualization, comprehensive environmental assessments of the canal region, digital twinning of the
applications, and provide a data foundation for future research on canal management and sustainable
development research in the region.