TY - JOUR
T1 - Multi-factors reveal spatiotemporal evolution trend and driving mechanism of salinity in coastal zone shallow sea area
AU - Wang, Xihua
AU - Rong, Yanxin
AU - Xu, Y. Jun
AU - lv, Qinya
AU - Ji, Xuming
AU - Mao, Boyang
AU - Jia, Shunqing
AU - Liu, Zejun
AU - Luo, Chengming
AU - Dai, Yan
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/11
Y1 - 2025/11
N2 - Salinity is a key factor influencing the hydrology, ecology, and biogeochemistry of the ecosystem. Elevated salinity levels can lead to habitat loss. However, most current studies focus on estuarine and coastal wetlands, and the studies on salinity gradient change and its driving mechanism in coastal zone shallow sea areas remain poorly understood. This study selected the temperature and salinity data of Lianyungang in Jiangsu Province, Shidao, and Xiaomaidao in Shandong Province from January 1996 to June 2023. By employing Principal Component Analysis (PCA) and Pearson correlation analysis, we aimed to investigate the spatiotemporal changes and influencing factors of salinity. The results showed that there was no significant difference in the seasonal variation of salinity, which fluctuates around 30 ‰, and the interannual variation has been decreasing over time. The salinity tended to increase regionally with increasing latitude. Furthermore, both climate and natural factors, such as rainfall and runoff, were found to be crucial drivers of salinity changes, while the impact of proximity to the sea also varied over time. The variation trend of freshwater flux (FWF) and salinity is consistent, and a positive correlation was identified. While it was observed that freshwater input decreases salinity locally. Effects such as ocean currents and human activities, including agricultural land clearing, also regulate salinity. These results provide new insights into the mechanisms driving the spatiotemporal variation of salinity in coastal areas, offer a theoretical foundation for hyper-salinization prevention and control, and highlight directions for future research.
AB - Salinity is a key factor influencing the hydrology, ecology, and biogeochemistry of the ecosystem. Elevated salinity levels can lead to habitat loss. However, most current studies focus on estuarine and coastal wetlands, and the studies on salinity gradient change and its driving mechanism in coastal zone shallow sea areas remain poorly understood. This study selected the temperature and salinity data of Lianyungang in Jiangsu Province, Shidao, and Xiaomaidao in Shandong Province from January 1996 to June 2023. By employing Principal Component Analysis (PCA) and Pearson correlation analysis, we aimed to investigate the spatiotemporal changes and influencing factors of salinity. The results showed that there was no significant difference in the seasonal variation of salinity, which fluctuates around 30 ‰, and the interannual variation has been decreasing over time. The salinity tended to increase regionally with increasing latitude. Furthermore, both climate and natural factors, such as rainfall and runoff, were found to be crucial drivers of salinity changes, while the impact of proximity to the sea also varied over time. The variation trend of freshwater flux (FWF) and salinity is consistent, and a positive correlation was identified. While it was observed that freshwater input decreases salinity locally. Effects such as ocean currents and human activities, including agricultural land clearing, also regulate salinity. These results provide new insights into the mechanisms driving the spatiotemporal variation of salinity in coastal areas, offer a theoretical foundation for hyper-salinization prevention and control, and highlight directions for future research.
KW - Coastal area
KW - Driving mechanism
KW - Freshwater flux
KW - Salinity
KW - Spatiotemporal distribution
UR - https://www.scopus.com/pages/publications/105012379897
U2 - 10.1016/j.eti.2025.104424
DO - 10.1016/j.eti.2025.104424
M3 - 文章
AN - SCOPUS:105012379897
SN - 2352-1864
VL - 40
JO - Environmental Technology and Innovation
JF - Environmental Technology and Innovation
M1 - 104424
ER -