Abstract: A DOA-based pumping station-LID joint multi-objective optimization method, mainly including following steps: Step 1: collecting and sorting basic data of a research region; Step 2: fitting drainage parameter relationship expressions; Step 3: establishing an objective function and constraint conditions; Step 4: determining optimal solutions of a single objective function; Step 5: performing multi-objective function optimization calculation; Step 6: selecting an optimal solution. The multi-objective optimization method comprehensively considering economic and environmental benefits is particularly suitable for optimal design of installed flow capacity of a drainage pumping station at a watershed scale and layout rate of different LID measures.

Abstract: A concrete structure effective prestress estimation and evaluation characteristic value calculation method which includes calculating effective prestress probability distribution of a concrete structure prestress rebar, establishing a Gaussian mixture model of effective prestress of the concrete structure, carrying out normalization processing and normal significance judgment on the Gaussian mixture model, sampling and estimating the effective prestress probability distribution of the structure with normal distribution in theoretical distribution, calculating effective prestress evaluation characteristic values of the components under the normal distribution condition, grouping processing and normal significance judging of the Gaussian mixture model, sampling and estimating the structural effective prestress probability distribution of the N-sub-distribution Gaussian mixture model by theoretical distribution, calculating effective prestress evaluation characteristic values of the components under the conditio

Abstract: A concrete structure effective prestress estimation and evaluation characteristic value calculation method which includes calculating effective prestress probability distribution of a concrete structure prestress rebar, establishing a Gaussian mixture model of effective prestress of the concrete structure, carrying out normalization processing and normal significance judgment on the Gaussian mixture model, sampling and estimating the effective prestress probability distribution of the structure with normal distribution in theoretical distribution, calculating effective prestress evaluation characteristic values of the components under the normal distribution condition, grouping processing and normal significance judging of the Gaussian mixture model, sampling and estimating the structural effective prestress probability distribution of the N-sub-distribution Gaussian mixture model by theoretical distribution, calculating effective prestress evaluation characteristic values of the components under the conditio