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Study On The Decision Support System Of Sudden Environmental Incidents In Ashi River Basin

Posted on:2019-03-23Degree:MasterType:Thesis
Country:ChinaCandidate:J Q WangFull Text:PDF
GTID:2371330566497254Subject:Environmental engineering
Abstract/Summary:PDF Full Text Request
During the "13th Five-Year Plan" period,the country proposes to speed up the construction of ecological civilization and improves the quality of the ecological environment.However,there are still many areas in need of improvement in emergency treatment of river environmental emergencies in China,further research and exploration are needed to realize the construction of ecological civilization at the national level.Th e article takes Ashi River as the research object,the main ideas are the forward simulation of sudden pollutants and the backtracking of pollution sources.According to the current environmental emergency management situation of Ashi River,the water quality models WASP and EFDC were used to simulate the process of the migration and transformation of one-dimensional and two-dimensional Ashi sudden pollution,respectively,and the sudden pollution source identification framework was constructed based on the artificial intelligence algorithm.,to achieve pollution source deduction.Finally,it explored and designed the emergency warning decision support platform for emergency response to the Ashi River,centered on the "River-length system".The forward simulation of sudden pollutants uses the WASP and EFDC model to simulate the migration and conversion process of one and two dimensional river pollutants.The monitoring section of the Ashi River from the Xiquanyan Reservoir to the Ashi River mouth was generalized into a one-dimensional river channel and divided into 16 sections.The tributaries along the route were generalized to 6,the WASP model was used to simulate the hydrodynamic changes of this section.The actual flow data is used for verification.The results show that the relative error between the simulated flow and the actual value in each monitored river reaches less than 20%,the hydrodynamic status of the river is relatively stable,which is conducive to the simulation of sudden pollutant water quality.Assuming the occurrence of heavy metal lead leakage in the Xiquanyan Reservoir,the model predicts the diffusion status of heavy metal lead,the concentration of lead in heavy metals in all river sections varies approximately with time.Using the two-dimensional grid division software CLVGrid1.1,the monitoring section of the Ashi River from Acheng Town to Xinyi Ditch was generalized into a two-dimensional river channel,consisting of 5180 grids along the river's vertical and horizontal directions.The tributaries along the route were generalized to 3,similarly using EFDC to simulate the flow velocity distribution of the river section and verifying with the actual flow velocity data,the results show that the simulation of river hydrodynamics is in good agreement with the actual river hydrodynamics.Subsequently,the dye was used to simulate sudden pollutants.The results showed that the concentration of the dye on the right bank of the river was higher than that on the left bank,the concentration of the dye gradually decreased with the increase of the length of the river.The inverse deduction of the pollution source is based on the water quality migration and conversion model,the artificial intelligence algorithm is taken as the core to determine the relevant parameters of the pollution source.Simulated hypothetical cases through Matlab software,the three artificial intelligence algorithms were applied to the hypothetical cases.The traceability results showed that compared with genetic algorithm and simulated annealing,the new algorithm generated by coupled genetic algorithm and simulated annealing method has better traceability efficiency.The relative errors of the three parameters of pollution sources(magnitude,initial discharged time,intial discharged location)were 1.1%,3.0% and 2.2%,respectively,which were superior to those of the two classic artificial intelligence algorithms.With the "River Manager system" as the center,C language was used to explore and design emergency response and early warning decision support platform for the Ashi River.The platform mainly includes three systems: environmental emergency information management,emergency command and dispatch and auxiliary decisionmaking,emergency events evaluation.The systems work together to jointly complete the early warning,decision-making and assessment of river pollution incidents.
Keywords/Search Tags:Ashi River, sudden pollution incident, forward simulation, backward deduction, artificial intelligence algorithm, early warning decision support platform
PDF Full Text Request
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