CN114819390A - Model method for estimating urban river sediment deposition - Google Patents
Model method for estimating urban river sediment deposition Download PDFInfo
- Publication number
- CN114819390A CN114819390A CN202210545106.4A CN202210545106A CN114819390A CN 114819390 A CN114819390 A CN 114819390A CN 202210545106 A CN202210545106 A CN 202210545106A CN 114819390 A CN114819390 A CN 114819390A
- Authority
- CN
- China
- Prior art keywords
- river
- urban
- condition
- basin
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Computer Hardware Design (AREA)
- Development Economics (AREA)
- Evolutionary Computation (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Geometry (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a model method for estimating the silt deposition amount of an urban river, which comprises the following prediction and estimation processes: 1. and (2) calculating the annual soil erosion amount of the river basin, and predicting the sediment accumulation amount of river bottom of the inland river. The river bottom sediment accumulation is predicted through GIS software and urban river basin basic data, the basic data in the river basin is adopted for scientific analysis in the whole process, the annual river accumulation prediction based on the urban background condition is realized, and compared with a conventional survey determination method, the method can greatly reduce the survey cost and has higher accuracy.
Description
Technical Field
The invention relates to the technical field of urban river sediment accumulation estimation, in particular to a model method for urban river sediment accumulation estimation.
Background
With the high-speed promotion of the urbanization process, the hardening area of the urban underpad surface is continuously expanded, the rainwater infiltration capacity is continuously reduced, and meanwhile, the frequent occurrence of extreme rainfall events caused by global warming also improves the requirement on urban waterlogging prevention and treatment, so the urban waterlogging prevention and treatment becomes an important topic in the field of water safety management. In recent years, water systems in cities have been more or less invaded along with the process of updating old cities and building new cities. Increasingly, the urban flood discharge pressure is born by less and less water surfaces, the thickness of sediment deposition at the river bottom becomes an important life line of urban water safety, and the river discharge capacity can be influenced if the sediment deposition is excessive, so that the sediment deposition at the river bottom needs to be regularly cleaned according to requirements, and the influence on the urban water safety is avoided. The monitoring aspect of the sediment accumulation degree of the river bottom is relatively deficient at present, and the sediment accumulation degree of the river channel is often determined and treated in most areas after problems occur, so that the possible sediment accumulation degree of the river bottom cannot be predicted by a simple method.
The existing urban river sediment deposition amount measurement and calculation is mainly manual measurement, time is consumed, and a large amount of labor and economic cost is needed. The invention provides a method for predicting the sediment deposition amount of the river by a model through a scientific and reasonable tool, calculates the soil erosion amount of the whole annual urban river basin of the urban river through the RUSLE model, and finally determines the sediment deposition amount of the river afflux to estimate by actually measuring the ratio of the rainfall amount of the afflux river to the total rainfall amount in one year. Compared with the traditional manual measuring and calculating method, the method is low in cost, short in time consumption and scientific and reasonable in prediction result.
Disclosure of Invention
The invention discloses a model method for estimating the silt deposition amount of an urban river, which mainly aims to overcome the defects and shortcomings in the prior art.
The technical scheme adopted by the invention is as follows:
a model method for urban river sediment accumulation estimation comprises the following specific steps:
s1, collecting parameter information of the urban river peripheral pipe network condition and the urban background condition;
s2, performing basin analysis by adopting GIS software according to the parameter information collected in S1, and identifying the basin range of the urban pipe network;
s3, calculating by using a RUSLE model according to the type of an underlying surface in the urban drainage basin, the vertical condition in the drainage basin, the related flood control and drainage planning conditions in the drainage basin, the planting and covering condition in the drainage basin and the climate condition in the drainage basin to obtain the total soil erosion amount of the catchment drainage basin;
s4, predicting and obtaining the sediment deposition amount of the river bottom of the inland river according to the measured value of the ratio of the rainfall runoff and the total runoff of the afflux river and the total soil erosion amount of the drainage basin obtained in the S3;
and S5, providing guidance for relevant planning and policy implementation according to the obtained river sediment accumulation amount.
Furthermore, the expression of the equation of the prediction of the soil erosion amount by the RUSLE model in S3 is as follows: a ═ R × K × LS × C × P, wherein the R factor value was obtained from the measured rainfall in the current month of the inland river region under study; the K factor value is determined by the physicochemical property of the soil in the inland river area; the LS factor is obtained by processing elevation data of the research area; and the C factor and the P factor are taken according to the background condition of the research area.
Furthermore, the basic steps of the prediction calculation of the RUSLE model on the soil erosion are as follows:
the method comprises the following steps: collecting information of the type of an underlying surface, the vertical condition, the vegetation coverage condition, the soil type and the climate condition in the river basin range, processing the information by using remote sensing software ArcGIS software, and calculating various factor values required in the RUSLE model;
step two: unifying the values of the factors obtained in the step one to a GRID layer under an agreed coordinate system, and multiplying the factors according to the format of the RUSLE model to obtain the soil erosion amount of the pipe network basin range.
Further, the city background condition in S1 includes a land utilization condition and a vertical condition.
As can be seen from the above description of the present invention, compared with the prior art, the present invention has the following advantages:
the method applies the RUSLE model to prediction of urban river sediment accumulation, selects basic data such as elevation, urban land utilization planning, urban soil property, rainfall, vegetation coverage and the like, adopts GIS software to construct the RUSLE model, and predicts annual soil erosion amount of an inland river basin. According to the prediction result, the sediment deposition amount of the bottom of the river is reasonably and scientifically predicted by combining the actual measurement of the ratio of the rainfall runoff amount of the afflux river to the total rainfall runoff amount, and the technology in the aspect of predicting the sediment deposition amount of the bottom of the river in the river basin of the urban inland river is enriched. When sediment deposition amount is predicted, the method uses basic data of land utilization planning conditions, urban vertical conditions, climate conditions and vegetation coverage rate conditions of inland river basin as data sources, so that the difference research according to local conditions of cities is realized, the obtained prediction result is scientific and reasonable, and the method can be used as support data of relevant planning and policies.
Drawings
FIG. 1 is a flow chart of predictive estimation of the present invention.
Detailed Description
Embodiments of the present invention will be further described with reference to the accompanying drawings.
As shown in fig. 1, a model method for estimating silt deposition in urban rivers comprises the following specific steps:
s1, collecting parameter information of the urban river peripheral pipe network condition and the urban background condition;
s2, performing basin analysis by adopting GIS software according to the parameter information collected in S1, and identifying the basin range of the urban pipe network;
s3, calculating by using a RUSLE model according to the type of an underlying surface in the urban drainage basin, the vertical condition in the drainage basin, the related flood control and drainage planning conditions in the drainage basin, the planting and covering condition in the drainage basin and the climate condition in the drainage basin to obtain the total soil erosion amount of the catchment drainage basin;
s4, predicting and obtaining the sediment deposition amount of the river bottom of the inland river according to the measured value of the ratio of the rainfall runoff and the total runoff of the afflux river and the total soil erosion amount of the drainage basin obtained in the S3;
and S5, providing guidance for relevant planning and policy implementation according to the obtained river sediment accumulation amount.
Furthermore, the expression of the equation of the prediction of the soil erosion amount by the RUSLE model in S3 is as follows: a ═ R × K × LS × C × P, wherein the R factor value was obtained from the measured rainfall in the current month of the inland river region under study; the K factor value is determined by the physicochemical property of the soil in the inland river area; the LS factor is obtained by processing the elevation data of the research area; and the C factor and the P factor are valued according to the background condition of the research area.
Furthermore, the basic steps of the prediction calculation of the RUSLE model on the soil erosion are as follows:
the method comprises the following steps: collecting information of the type of an underlying surface, the vertical condition, the vegetation coverage condition, the soil type and the climate condition in the river basin range, processing the information by using remote sensing software ArcGIS software, and calculating various factor values required in the RUSLE model;
step two: unifying the values of the factors obtained in the step one to a GRID layer under an agreed coordinate system, and multiplying the factors according to the format of the RUSLE model to obtain the soil erosion amount of the pipe network basin range.
Further, the city background condition in S1 includes a land utilization condition and a vertical condition.
The following is a specific prediction estimation process of the present embodiment:
1. calculating the annual soil erosion amount of the drainage basin,
(1) Urban inland river basin identification
The basic idea of urban inland river basin identification is as follows: according to factors such as the elevation of the field around the inland river, the distribution conditions of water systems and the like, basin area analysis is carried out by adopting GIS software, and the basin area under the natural condition of the inland river is identified. And correcting the natural river basin of the river by combining the layout condition of the pipe network around the river to obtain the river basin range in the city.
(2) Measurement and calculation of total soil erosion amount of inland river basin
The RUSLE equation is used for measuring and calculating annual soil erosion amount, comprehensively considers the influence of various urban natural factors and human activity factors on soil erosion, and comprehensively embodies rainfall erosion force factors, soil erodibility factors, terrain factors, vegetation and crop management factors and soil protection measure factors, and has the expression: a ═ R × K × LS × C × P. The R factor value is obtained by actually measuring rainfall in each month in the current year in the researched inland river region; the K factor value is determined by the physicochemical property of the soil in the inland river area; the LS factor is obtained by processing the elevation data of the research area; and the C factor and the P factor are valued according to the background condition of the research area.
The basic steps of measuring and calculating the total soil erosion amount of the inland river basin are as follows: and (3) collecting information of the type of the underlying surface, the vertical condition, the vegetation coverage condition soil type and the climate condition in the river basin range, processing the information by using remote sensing software ArcGIS software, and calculating various factor values required in the RUSLE model. Unifying all factors to a GRID layer under an agreed coordinate system, and multiplying all factors according to the format of the RUSLE model to obtain the soil erosion amount of the whole year of the inland river basin.
2. Prediction of sediment deposition of river bottom of inland river
Firstly, actually measuring the ratio of the rainwater runoff converged into an inland river in an inland river basin to the total rainfall runoff, and predicting the deposition of the inland river according to the ratio of the actually measured result and the calculated value of annual soil erosion amount in the basin.
The RUSLE model adopted by the scheme is commonly used for calculating the hydraulic soil erosion amount under natural conditions, the model is simple and convenient to operate, and the result is reliable and accurate. The equation mainly considers the influence of the respective factors on the soil erosion and comprehensively reflects the rainfall erosion force factor, the soil erodibility factor, the terrain factor, the vegetation and crop management factor and the soil protection measure factor. Compared with the natural environment, the urban environment has different terrain conditions and underlying surface conditions, so how to adjust the RUSLE model according to the urban conditions so that the RUSLE model can be applied to the urban planning field is the key point concerned by the scheme of the invention.
As can be seen from the above description of the present invention, compared with the prior art, the present invention has the following advantages:
the method applies the RUSLE model to prediction of urban river sediment accumulation, selects basic data such as elevation, urban land utilization planning, urban soil property, rainfall, vegetation coverage and the like, adopts GIS software to construct the RUSLE model, and predicts annual soil erosion amount of an inland river basin. According to the prediction result, the sediment deposition amount of the bottom of the river is reasonably and scientifically predicted by combining the actual measurement of the ratio of the rainfall runoff amount of the afflux river to the total rainfall runoff amount, and the technology in the aspect of predicting the sediment deposition amount of the bottom of the river in the river basin of the urban inland river is enriched. When the sediment accumulation amount is predicted, the method uses basic data of land utilization planning conditions, urban vertical conditions, climatic conditions and vegetation coverage rate conditions of an inland river basin as data sources, so that the difference research according to local conditions of cities is realized, the obtained prediction result is scientific and reasonable, and the method can be used as support data of relevant planning and policies.
The above description is only an embodiment of the present invention, but the design concept of the present invention is not limited thereto, and any insubstantial modifications of the present invention using this concept shall fall within the scope of infringing the present invention.
Claims (4)
1. A model method for urban river sediment accumulation estimation is characterized in that: the model method comprises the following specific steps:
s1, collecting parameter information of the urban river peripheral pipe network condition and the urban background condition;
s2, performing basin analysis by adopting GIS software according to the parameter information collected in S1, and identifying the basin range of the urban pipe network;
s3, calculating by using a RUSLE model according to the type of an underlying surface in the urban drainage basin, the vertical condition in the drainage basin, the related flood control and drainage planning conditions in the drainage basin, the planting and covering condition in the drainage basin and the climate condition in the drainage basin to obtain the total soil erosion amount of the catchment drainage basin;
s4, predicting and obtaining the sediment deposition amount of the river bottom of the inland river according to the measured value of the ratio of the rainfall runoff and the total runoff of the afflux river and the total soil erosion amount of the drainage basin obtained in the S3;
and S5, providing guidance for relevant planning and policy implementation according to the obtained river sediment accumulation amount.
2. The model method for urban river sediment accumulation estimation according to claim 1, wherein the model method comprises the following steps: the equation expression of predicting the soil erosion amount by the RUSLE model in the S3 is as follows: a ═ R × K × LS × C × P, wherein the R factor value was obtained from the measured rainfall in the current month of the inland river region under study; the K factor value is determined by the physicochemical property of the soil in the inland river area; the LS factor is obtained by processing the elevation data of the research area; and the C factor and the P factor are valued according to the background condition of the research area.
3. The model method for urban river sediment accumulation estimation according to claim 2, wherein the model method comprises the following steps: the basic steps of the prediction calculation of the RUSLE model on the soil erosion are as follows:
the method comprises the following steps: collecting information of the type of an underlying surface, the vertical condition, the vegetation coverage condition, the soil type and the climate condition in the river basin range, processing the information by using remote sensing software ArcGIS software, and calculating various factor values required in the RUSLE model;
step two: unifying the values of the factors obtained in the step one to a GRID layer under an agreed coordinate system, and multiplying the factors according to the format of the RUSLE model to obtain the soil erosion amount of the pipe network basin range.
4. The model method for urban river sediment accumulation estimation according to claim 1, wherein the model method comprises the following steps: the city background condition in the S1 comprises a land utilization condition and a vertical condition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210545106.4A CN114819390A (en) | 2022-05-19 | 2022-05-19 | Model method for estimating urban river sediment deposition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210545106.4A CN114819390A (en) | 2022-05-19 | 2022-05-19 | Model method for estimating urban river sediment deposition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114819390A true CN114819390A (en) | 2022-07-29 |
Family
ID=82515358
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210545106.4A Pending CN114819390A (en) | 2022-05-19 | 2022-05-19 | Model method for estimating urban river sediment deposition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114819390A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115809748A (en) * | 2023-02-08 | 2023-03-17 | 广东广宇科技发展有限公司 | Method for predicting river channel defects for smart city |
| CN117871423A (en) * | 2024-03-13 | 2024-04-12 | 水利部交通运输部国家能源局南京水利科学研究院 | Remote sensing estimation method and system for sand transportation rate of small river basin |
-
2022
- 2022-05-19 CN CN202210545106.4A patent/CN114819390A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115809748A (en) * | 2023-02-08 | 2023-03-17 | 广东广宇科技发展有限公司 | Method for predicting river channel defects for smart city |
| CN115809748B (en) * | 2023-02-08 | 2023-04-18 | 广东广宇科技发展有限公司 | Method for predicting river channel defects for smart city |
| CN117871423A (en) * | 2024-03-13 | 2024-04-12 | 水利部交通运输部国家能源局南京水利科学研究院 | Remote sensing estimation method and system for sand transportation rate of small river basin |
| CN117871423B (en) * | 2024-03-13 | 2024-05-24 | 水利部交通运输部国家能源局南京水利科学研究院 | Remote sensing estimation method and system for sand transportation rate of small river basin |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Singh et al. | Grid-cell based assessment of soil erosion potential for identification of critical erosion prone areas using USLE, GIS and remote sensing: A case study in the Kapgari watershed, India | |
| Huang et al. | The changing pattern of urban flooding in Guangzhou, China | |
| WO2023016036A1 (en) | Multi-factor composite early warning and forecasting method for municipal road ponding | |
| CN114819390A (en) | Model method for estimating urban river sediment deposition | |
| Chen et al. | Impacts of land use change scenarios on storm-runoff generation in Xitiaoxi basin, China | |
| CN110852577B (en) | Urban flood assessment method based on urban toughness and urban watershed hydrologic model | |
| Koskelo et al. | A new precipitation-based method of baseflow separation and event identification for small watersheds (< 50 km2) | |
| CN110633865A (en) | Urban ponding prediction and safety early warning system based on drainage model | |
| CN110274656B (en) | Urban inland river water level forecasting and early warning method | |
| CN110838079A (en) | Intelligent city flood control and drainage remote monitoring system and method | |
| CN111062125B (en) | Hydrological effect evaluation method for sponge type comprehensive pipe gallery | |
| CN116362419B (en) | Urban flood control early warning system and method | |
| Hopkins et al. | Reconstruction of a century of landscape modification and hydrologic change in a small urban watershed in Pittsburgh, PA | |
| JP4828991B2 (en) | Overflow generation estimation device and program | |
| Nandalal et al. | Event based modeling of a watershed using HEC-HMS | |
| Liu et al. | Review of the status of urban flood monitoring and forecasting in TC region | |
| JP4185910B2 (en) | Distributed runoff prediction system and distributed runoff prediction program | |
| CN110990659A (en) | Urban waterlogging management method based on three-dimensional real scene | |
| Fitz et al. | Development and application of the Everglades Landscape Model | |
| Meyer et al. | Northeastern Illinois Water Supply Planning Investigations: Opportunities and challenges of meeting water demand in northeastern Illinois--executive summary | |
| CN110232522B (en) | Optimized layout method for hydrologic monitoring sites of urban inland rivers | |
| CN114925629A (en) | Model method for estimating annual deposition amount of urban pipeline | |
| CN113722924A (en) | Method for determining density of small watershed ground rainfall station | |
| Ansari et al. | Hydrological modeling of Hasdeo River Basin using HEC-HMS | |
| Corbin et al. | Hydrologic modeling of urban development scenarios and low-impact design systems on an undisturbed coastal forested watershed under extreme rainfall-runoff events and hydro-meteorological conditions in a changing climate |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |