China Institute of Water Resources and Hydropower Research

Wanli Shi

Hao Wang

Yang Wang

Liu Liu

Qiang Zhang

Lin Wang

Jinsheng Jia

Xinlei Guo

Tianjie Lei

Denghua Yan

Zhaohui Yang

Baisha Weng

Tianling Qin

Shuguang Li

Guangquan Liu

Yingfei Bai

Guiyu Yang

Yangfeng Wu

Juncang Tian

Guoqiang Dong

Chunyu Qi

Heng Fu

Cuiying Zheng

Puhang Li

Yonggui Chen

Zhongwei Liu

Lianying Ding

A method for vegetation restoration or rehabilitation of simulating a natural ecosystem based on machine learning (ML) includes: acquiring historical growth environment data of a vegetation community; extracting a site condition feature and a growth condition feature of each vegetation species; restoring and rehabilitating a vegetation community structure selection model; and selecting, based on the vegetation community structure selection model, an optimal vegetation species according to current growth environment data of the vegetation community, and restoring and rehabilitating a vegetation community simulating a natural ecosystem. The method comprehensively considers various factors affecting vegetation restoration based on the site condition and the growth condition. The method has the advantages of simple operation, fast modeling speed, high calculation efficiency, and high screening accuracy and can realize accurate and effective vegetation restoration to improve the quality of the ecological environment.

Method, system and equipment for vegetation restoration or rehabilitation based on machine learning

A method for forecasting an agricultural irrigation water requirement includes: selecting a baseline period and crops each with a sown area larger than a set proportion as typical crops; calculating an irrigation water quota of the typical crop during a growth stage according to meteorological information; obtaining ten-day rainfall in a water-saving area from weather stations; and calculating effective rainfall in a sown region of the typical crop based on the ten-day rainfall; calculating an irrigation water requirement per unit area of the typical crop; and determining whether the irrigation water requirement per unit area of at least one typical crop is greater than an average of actual irrigation water usage per unit area measured in consecutive years, if yes, correcting the irrigation water requirement per unit area of all typical crops according to actual irrigation water usage; otherwise calculating a total water requirement for a next year.

Method for forecasting an agricultural irrigation water requirement

A method for cemented material dam construction based on whole-process quality control includes: determining a water-binder ratio of a sand and gravel material through a simulation test; laying rockfill on the first cemented sand and gravel layer before the final setting time of the first cemented sand and gravel layer; adjusting the maximum particle size of the rockfill and the distance between the particles in the rockfill according to the design requirements; spraying a cement slurry on the rockfill to wrap all the particles in the rockfill and laying a second cemented sand and gravel layer before the initial setting time of the cement slurry; performing rolling compaction on the construction layer until the decline in the thickness of the construction layer and the apparent density of the rolled surface meet the design requirements; and completing the cemented material dam construction.

Method for cemented material dam construction based on whole-process quality control

The present invention discloses a method for detecting glacier melting based on tracer technology. The method includes the following steps. 1. Different tracer agents with equal concentration are respectively added into a plurality of water samples. The water sample and the tracer agents are mixed well. Meanwhile, the volume and the mass of each glacier model are recorded. A plurality of water samples added with tracer agents are frozen layer by layer from inside to outside to establish a plurality of glacier models. 2. The surrounding environmental factors of the glacier model are adjusted. Water samples of the glacier models melted under different environmental factor conditions are collected. Furthermore, the concentrations of different kinds of tracer agents in the water samples are measured.

Method for detecting glacier melting based on tracer technology

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Beijing, China

Wanli Shi