measures in the basin. By following the principles of
simultaneous development of project and research,
research on the project optimization and project
inspection, the aforesaid objectives can be met.
5.1 Research Objective
Aiming at the current primary water ecological
environment problems in the Shiwuli river basin,
according to the overall deployment of the basin
treatment project, the topics of "what to reduce, where
to reduce, how much to reduce, how to reduce, and
how to manage the pollutants in the basin" should be
taken as the core theme. The control of total
maximum daily load (TMDL) of pollutants in the
basin and integrated planning of land and water areas
(point source, non-point source, and endogenous)
should be taken as the basic principles. Subsequently,
the research on the entire basin, all-round treatment
(engineering and non-engineering measures), and
management of all factors should be paid attention.
The comprehensive benefits of various ongoing
engineering and non-engineering measures in the
basin for the improvement of water quality of the
Shiwuli river should be systematically analyzed. With
these solutions, the objectives of stable qualified
water in the basin and its long-term maintenance can
be realized, and a model for the treatment of water
environment in a highly urbanized basin can be
successfully established.
5.2 Research Content
(1) Construction of a water ecological environment
model of Shiwuli river basin by coupling the
hydrology, hydraulics, water quality, and water
conservancy projects
The Shiwuli river is a complex basin, where the
water and pipe networks intersect and the urban and
agricultural land intersect. The transport of water and
pollutants is not only blocked by the initial-stage
rainwater regulation and storage projects in the pipe
network, but also is regulated by the gate and dam
projects in the water network. From the perspective
of systematic management of the basin, a reaction
chain of the entire process of pollutant generation,
pipe network transportation, project regulation, and
water network degradation should be established. In
addition, the current and upcoming treatment
engineering measures should be embedded into the
model to quantitatively evaluate the treatment effects
of the engineering measures. Furthermore, the
quantitative and accurate simulations of the initial-
stage rainwater regulation and storage project in the
pipe-network model and multi-gate-dam dispatching
in the water-network model should be highlighted.
(2) Construction of a technical method for the
distribution of the excessive pollution load in the
cross-section of the Shiwuli river with coupled
natural and social attributes
Based on the successful pollution source
discharge management experience for total maximum
daily loads (TMDLs), through localization,
optimization, and continuous innovation, the
breakthrough of the limitations in thinking of current
pollution load distribution is essential considering the
monotonous factors. There is a need to categorize the
response relationship between the basin pollution
load and water quality change. The
hydrometeorological variation and socio-economic
development factors should be also taken into account
and the dynamic water environment capacity of water
body should be calculate under the influence of multi-
factor disturbance. Additionally, there is a need to
develop a technical method for the distribution of
excessive pollution load in the Shiwuli river basin to
provide a practical goal for the basin water quality
objective management work.
(3) Research and development of a water
ecological environment systematic regulation
platform of the Shiwuli river basin with real-time
monitoring, accurate simulation, and intelligent
mutual feedback
For the informationization, digitization, and
intellectualization of the water ecological
environment management of the Shiwuli river basin,
the basin water ecological environment systematic
regulation platform should be developed. Based on
the multi-source information fusion, with water
ecological environment model as the core and by
using the artificial intelligence modules, this platform
should be developed. This platform should focus on
the issues about the real-time mutual feedback
between the measured data and mathematical models.
Also, the efficient operation of the platform with
multiple objectives needs to be taken into
consideration. In addition, the abilities of emergent
management of sudden water pollution events, early
warning of unqualified water, joint dispatching of the
water quantity and quality, and tracing of pollution
source in the Shiwuli river basin should be improved.
ACKNOWLEDGEMENTS
This work was supported by the Beijing Natural
Science Foundation (No. 8214064), National Key
R&D Program of China (No. 2019YFC0409204),