CN111274663A - Agricultural non-point source pollution prevention and control technology based on bank side band - Google Patents

Agricultural non-point source pollution prevention and control technology based on bank side band Download PDF

Info

Publication number
CN111274663A
CN111274663A CN201811473715.3A CN201811473715A CN111274663A CN 111274663 A CN111274663 A CN 111274663A CN 201811473715 A CN201811473715 A CN 201811473715A CN 111274663 A CN111274663 A CN 111274663A
Authority
CN
China
Prior art keywords
point source
source pollution
model
shoreside
npspem
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
Application number
CN201811473715.3A
Other languages
Chinese (zh)
Inventor
王伟
李龙祥
杨廷超
魏东杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hebei University of Engineering
Original Assignee
Hebei University of Engineering
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hebei University of Engineering filed Critical Hebei University of Engineering
Priority to CN201811473715.3A priority Critical patent/CN111274663A/en
Publication of CN111274663A publication Critical patent/CN111274663A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Landscapes

  • Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an agricultural non-point source pollution control technology based on a bank side belt, belongs to the field of agricultural non-point source pollution control of the bank side belt, and aims to solve the problem of serious agricultural non-point source pollution in the north river province, so that the driving protection navigation can be continuously developed for the resource, the economic environment and the sustainable development of the north river province. The technology is based on SWAT Model theory, and based on remote sensing data and GIS technology, a Non-Point Source Pollution Estimation Model (NPSPEM) of the bank side is established to analyze the agricultural Non-Point Source Pollution of the bank side; on the basis of an NPSPEM model, comparing and analyzing the migration characteristics of pollutants under the conditions of shoreside belts and shoreside belt-free belts, calculating the non-point source pollution load of a basin by using the NPSPEM model, and analyzing the control effect of the shoreside belts on the non-point source pollution; and (3) simulating the pollution control effect of different shoreside zones designed and constructed on the watershed by using a scene analysis method through an NPSPEM model, thereby providing an optimal prevention and control scheme.

Description

Agricultural non-point source pollution prevention and control technology based on bank side band
Technical Field
And (3) agricultural non-point source pollution control at the bank.
Background
Non-point source pollution is a main source of water body pollution, causes eutrophication of lakes and reservoirs, destroys water body functions and brings huge negative effects on regional economy and ecological environment. How to grasp the law of non-point source pollution, analyze the pollution way, accurately evaluate the pollution condition, and bring the pollution condition into water resource planning is the key point for controlling the non-point source pollution, improving the water environment condition and increasing the available water resource quantity. The randomness of agricultural non-point source pollution is large, the source and the discharge point are not fixed, the time and space change range of pollution load is large, and the monitoring and the control are very complex. The non-point source pollution problem must be fully considered in the agricultural development and utilization process, the space-time characteristics of the agricultural non-point source pollution in the drainage basin are deeply researched, and the sustainable development of the economic society and the ecological environment is realized by establishing a shoreside agricultural non-point source pollution control technology.
Disclosure of Invention
The shore-side band-based agricultural Non-Point Source Pollution prevention and control technology is based on the SWAT model theory and based on remote sensing data and the GIS technology, a shore-side band Non-Point Source Pollution estimation model (NPSPEM) is established to analyze the shore-side agricultural Non-Point Source Pollution. The technology utilizes the advantages of GIS storage and analysis of spatial information to store information such as ecological factors in the shoreside zone, watershed pollution non-point sources and the like into a database, integrates a surface parameter inversion model and a non-point source pollution model, and can estimate the agricultural non-point source pollution and the shoreside zone pollutant reduction characteristics. The method mainly comprises the following steps: 1) ashore side band ecosystem factor: the method mainly comprises the parametric researches on plant types, community structures, ecological patterns, soil and water area backgrounds and the like; 2) shoreside zone biomass: the coupling of biomass and a non-point source pollution estimation model is mainly researched; 3) environmental factor of the bank band: the method mainly researches the assimilation of environmental factor precipitation, surface temperature, soil moisture, sediment content in a water area, eutrophication data in the water area and non-point source pollution estimation model input data in remote sensing inversion, and verifies a model output result.
On the basis of an NPSPEM model, a shoreside agricultural non-point source pollution control technology is provided, and the technology mainly comprises the following steps:
1) simulating and analyzing non-point source pollution of shoreside belt agriculture: on the basis of investigation of the river basin non-point source pollution, the pollutant migration characteristics under the conditions of the belt with the shore and the belt without the shore are contrastively analyzed, the river basin non-point source pollution load is calculated by utilizing an NPSPEM model, and the control effect of the belt with the shore on the non-point source pollution is analyzed.
2) The technique for preventing and controlling non-point source pollution in shoreside area agriculture: and (3) simulating the pollution control effect of different shoreside zone designs and constructions on the watershed by using a scene analysis method through an NPSPEM model, and providing an optimal prevention and control scheme.
Drawings
FIG. 1 is a technical circuit diagram of the agricultural non-point source pollution control technology based on the bank side band
Detailed Description
The research work takes ground observation-model construction-technology establishment and application as a main line, and combines the research contents of pollution monitoring, ground remote sensing observation, inversion and verification of various remote sensing information, construction of a shoreside non-point source pollution estimation model based on remote sensing, shoreside agricultural non-point source pollution prevention and control technology and application and the like (see figure 1).
Taking a typical small watershed of a certain water collecting area as a research object, observing the water quality change condition under the condition that the typical small watershed shoreside belt has no shoreside belt and the water quality change condition before and after passing through the shoreside belt under the conditions of different vegetation types and different widths by a fixed point test analysis method, and acquiring the data of the influence factors of the shoreside belt on the non-point source pollution transport; the method comprises the steps of improving the extraction precision of the bank side band space information by adopting a quantitative remote sensing analysis method, obtaining the bank side band plant types, community structures, ecological patterns, space parameters of soil, water background and the like, and environment factors of bank side band rainfall, earth surface temperature, soil moisture, water sediment content, water eutrophication and the like, establishing a remote sensing-based bank side band non-point source pollution estimation model, and realizing the analysis of the control effect of the bank side band on non-point source pollution by applying a remote sensing technology; a situation analysis method is applied, and the situation of the shore-side agricultural non-point source pollution under different schemes is simulated through the constructed NPSPEM model, so that the shore-side agricultural non-point source pollution control technology is provided and is demonstrated and applied in a typical area.

Claims (2)

1. A technology for preventing and treating agricultural Non-Point Source pollution based on a shore side band is characterized in that a SWAT Model theory is used as a basis, a Non-Point Source pollution estimation Model (NPSPEM) is established to analyze the agricultural Non-Point Source pollution of the shore side band based on remote sensing data and a GIS technology, the migration characteristics of pollutants under conditions of the shore side band and the Non-shore side band are contrastively analyzed on the basis of the NPSPEM Model, the NPSPEM Model is used for calculating the Non-Point Source pollution load of a drainage basin, and the control effect of the shore side band on the Non-Point Source pollution is analyzed; and (3) simulating the pollution control effect of different shoreside zones designed and constructed on the watershed by using a scene analysis method through an NPSPEM model, thereby providing an optimal prevention and control scheme.
2. The shoreside-band-based agricultural non-point source pollution control technology as claimed in claim 1, which is characterized by a shoreside-band non-point source pollution simulation model based on remote sensing and GIS technology and a shoreside-band non-point source pollution control technology under point-to-surface scale expansion.
CN201811473715.3A 2018-12-04 2018-12-04 Agricultural non-point source pollution prevention and control technology based on bank side band Pending CN111274663A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811473715.3A CN111274663A (en) 2018-12-04 2018-12-04 Agricultural non-point source pollution prevention and control technology based on bank side band

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811473715.3A CN111274663A (en) 2018-12-04 2018-12-04 Agricultural non-point source pollution prevention and control technology based on bank side band

Publications (1)

Publication Number Publication Date
CN111274663A true CN111274663A (en) 2020-06-12

Family

ID=70996648

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811473715.3A Pending CN111274663A (en) 2018-12-04 2018-12-04 Agricultural non-point source pollution prevention and control technology based on bank side band

Country Status (1)

Country Link
CN (1) CN111274663A (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104091052A (en) * 2014-06-25 2014-10-08 安徽省环境科学研究院 Non-point source pollution spatial distributed model
CN104268657A (en) * 2014-09-30 2015-01-07 北京师范大学 Drainage basin water ecological risk early warning and distinguishing method based on remote sensing

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104091052A (en) * 2014-06-25 2014-10-08 安徽省环境科学研究院 Non-point source pollution spatial distributed model
CN104268657A (en) * 2014-09-30 2015-01-07 北京师范大学 Drainage basin water ecological risk early warning and distinguishing method based on remote sensing

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
郭宏忠;江东;蒋光毅;史东梅;刘益军;于亚莉;汪三树;: "重庆市水土保持科技需求及重点领域" *

Similar Documents

Publication Publication Date Title
Wu et al. Comprehensive understanding of groundwater quality for domestic and agricultural purposes in terms of health risks in a coal mine area of the Ordos basin, north of the Chinese Loess Plateau
Dai et al. Influence of spatial variation in land-use patterns and topography on water quality of the rivers inflowing to Fuxian Lake, a large deep lake in the plateau of southwestern China
Pujar et al. Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna
Loos et al. Ensemble data assimilation methods for improving river water quality forecasting accuracy
Chen et al. Evaluating the environmental flows of China's Wolonghu wetland and land use changes using a hydrological model, a water balance model, and remote sensing
Al Kuisi et al. Spatial assessment of salinity and nitrate pollution in Amman Zarqa Basin: a case study
Senent-Aparicio et al. A holistic approach for determining the hydrology of the mar menor coastal lagoon by combining hydrological & hydrodynamic models
Ogbozige et al. Water quality assessment and mapping using inverse distance weighted interpolation: A case of River Kaduna, Nigeria
Shandyba et al. Pollution migration forecast for soil-geochemistry mapping
Xu et al. Decoding river pollution trends and their landscape determinants in an ecologically fragile karst basin using a machine learning model
Rajamanickam et al. Groundwater quality modeling of Amaravathi river basin of Karur district, Tamil nadu, using visual Modflow
Liu et al. Establishing the relationship between the integrated multidimensional landscape pattern and stream water quality in subtropical agricultural catchments
Kløve et al. Protection of groundwater dependent ecosystems: current policies and future management options
Hossain Impact of land use change on stream water quality: A review of modelling approaches
Ekdal et al. Application of WASP and SWAT models for a Mediterranean coastal lagoon with limited seawater exchange
Bolick et al. Comparison of machine learning algorithms to predict dissolved oxygen in an urban stream
Akbar et al. Structured analysis of seepage losses in irrigation supply channels for cost-effective investments: case studies from the southern Murray-Darling Basin of Australia
Wu et al. Influence of a power plant in Ezhou City on the groundwater environment in the nearby area
CN111274663A (en) Agricultural non-point source pollution prevention and control technology based on bank side band
Fu et al. GIS and ANN-based spatial prediction of DOC in river networks: a case study in Dongjiang, Southern China
El-Naggar et al. Hydrodynamic and water quality modeling of lake mariout (Nile Delta, Northern Egypt)
Nasab et al. Scale analysis for depression-dominated areas: how does threshold resolution represent a surface?
Abbo et al. Numerical model as a predictive analysis tool for rehabilitation and conservation of the Israeli coastal aquifer: example of the Shafdan sewage reclamation project
Hamza et al. Urban sprawl and expansion of road networks and its impacts on the environment using sensor and socio-economic data: Macta watershed, western Algeria
Tanji River basin hydrosalinity modeling

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
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20200612

WD01 Invention patent application deemed withdrawn after publication