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A Method for Predicting River Monthly Runoff Based on Compressive Sensing

A technology of compressed sensing and prediction methods, which is applied in the direction of prediction, data processing applications, instruments, etc., and can solve problems such as difficulties

Active Publication Date: 2019-03-05
浙江禹贡信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, there are many models and methods for research on runoff prediction, and some prediction results have been obtained, but it is difficult to comprehensively consider all the influencing factors.

Method used

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  • A Method for Predicting River Monthly Runoff Based on Compressive Sensing
  • A Method for Predicting River Monthly Runoff Based on Compressive Sensing
  • A Method for Predicting River Monthly Runoff Based on Compressive Sensing

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Experimental program
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Embodiment Construction

[0041] The present invention will be further described in conjunction with the accompanying drawings.

[0042] The specific method steps of this embodiment are as follows:

[0043] Step 1, information collection: collect relevant data such as rivers and reservoirs, Table 1 and Table 2 are part of the data information:

[0044] Table 1: Data information such as inflow and flow of some rivers

[0045] Time (1month)

Incoming water (10,000 cubic meters)

Flow (10,000 cubic meters)

Storage capacity (10,000 cubic meters)

Water level (m)

1 period:

1823.08

36.7216

6530.3584

25.74

2 periods:

2347.87

590.9322

8216.3861

27.94

3 periods:

5869.45

2864.2517

11098.4445

31.34

4 periods:

4921.76

3962.8725

11903.352

32.24

5 time periods:

7406.55

7023.342

12086.5

32.44

6 periods:

7133.96

7307.15

11731.21

32.04

7 time periods:

3806.82

3239.3

12...

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Abstract

Provided is a monthly river runoff volume prediction method based on compressed sensing. The method comprises the steps that information related to a river is collected for preprocessing, observation data of a time sequence is subjected to fitting through a compressed sensing method, a proper model is trained, curve fitting is conducted, and the monthly river runoff volume predicted corresponding to each month is obtained. According to the monthly river runoff volume prediction method based on compressed sensing, under the frame of a compressed sensing theory, a time sequence prediction mathematical model is built by means of the maximum likelihood estimation, a parameter estimation comes down to a typical compressed sensing problem, parameters are solved by applying an augmented lagrange function method, and then time sequence prediction is conducted.

Description

technical field [0001] The invention relates to a river monthly runoff forecasting method, in particular to a river monthly runoff forecasting method based on compressed sensing. Background technique [0002] Water resources are basic natural resources and an important resource that is indispensable for the development of the national economy. River runoff is an important factor in the hydrological cycle of a river basin. Runoff prediction is an important part of hydrological system prediction. The prediction results can be widely used in various fields such as environmental protection, hydropower operation, flood control and waterlogging prevention, water transportation management, and optimal allocation of water resources. . With the development of economy and society, the crisis of water resources is becoming more and more serious, and it is imperative to carry out medium and long-term forecasting of water resources. The mid- and long-term prediction results of runoff a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04
CPCG16Z99/00
Inventor 王万良邱虹杨平鞠振宇王宇乐
Owner 浙江禹贡信息科技有限公司
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