TITLE:
Integrated Quantity, Quality and Ecology of County-Level Arable Land Improvement Potential Comprehensive Zoning: The Example of Tongxu County, China
AUTHORS:
Mingxia Zhang, Junru Yin, Xinke Du
KEYWORDS:
Arable Land Remediation, Potential Evaluation, Remediation Zoning, K-Means++
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.10 No.4,
April
29,
2022
ABSTRACT: The scientific evaluation of arable land remediation potential can be
used to formulate remediation policies based on local conditions. This study
took arable land resources in Tongxu County, China as the research object and
administrative villages as the evaluation unit, constructed an evaluation index
system by integrating three aspects—quantity, quality and ecology. Based on the evaluation of arable land
remediation potential, the K-means++ spatial clustering algorithm combined with
elbow method is used to divide the remediation partition and give the remediation
strategy. The results showed that: 1) the evaluation
index system of arable land improvement potential, which integrated
“quantity-quality-ecology”, was more systematic in analyzing the potential of
arable land improvement than the previous single target evaluation index, and
explored its internal linkage. 2) There are some spatial differences in the
quantitative, qualitative and ecological potentials in Tongxu County, with the
quantitative potential being higher in Changzhi Township, the intersection of Lizhuang Township and the
southern part of Yuhuangmiao Township, the qualitative potential being more
evenly distributed, and the ecological potential being higher around
Chengguan Township. 3) Through K-means++
clustering algorithm combined with elbow method, Tongxu County was
divided into five subzones: quality improvement zone, intensive improvement
zone, quantity improvement zone, comprehensive improvement zone and health
improvement zone, among which the highest percentage of quality improvement zone
and the lowest percentage of comprehensive
improvement zone were 49.2% and 1.5% respectively, and differentiated remediation strategies were provided by research for each sub-district to
promote high quality of arable land.