The application discloses a
groundwater level space-time
dynamic monitoring and visual
analysis method and
system, relates to the technical field of
groundwater resource monitoring and
visualization, and comprises the following six steps: multi-
source data fusion preprocessing, mixed space interpolation of the
Kriging and
machine learning, isopachous surface generation and optimization,
time sequence animation synthesis,
abnormality identification and classification, and early warning
heat map visualization. The
system comprises a
data acquisition module, a space interpolation module, an isopachous surface generation module, a
time sequence animation module, an
abnormality identification module and an early warning
visualization module. The application improves the space interpolation precision through multi-
source data fusion and mixed interpolation of the
Kriging and
machine learning, directly presents the space-
time evolution of the
water level through the isopachous surface and the
time sequence animation, identifies abnormal areas such as over-exploitation funnel through space-time
gradient analysis, and assists in management decision through the early warning
heat map, so as to solve the technical problems of sparse monitoring sites and the difficulty of directly presenting the space-
time evolution law in traditional reports.