CN112557616A - Monitoring method for influencing water ecological health by commercial sand-collecting activities of lake through river - Google Patents
Monitoring method for influencing water ecological health by commercial sand-collecting activities of lake through river Download PDFInfo
- Publication number
- CN112557616A CN112557616A CN202011455098.1A CN202011455098A CN112557616A CN 112557616 A CN112557616 A CN 112557616A CN 202011455098 A CN202011455098 A CN 202011455098A CN 112557616 A CN112557616 A CN 112557616A
- Authority
- CN
- China
- Prior art keywords
- area
- monitoring
- mining
- sand
- water
- 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.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/04—Devices for withdrawing samples in the solid state, e.g. by cutting
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/10—Devices for withdrawing samples in the liquid or fluent state
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/10—Devices for withdrawing samples in the liquid or fluent state
- G01N1/20—Devices for withdrawing samples in the liquid or fluent state for flowing or falling materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
- G01N33/186—Water using one or more living organisms, e.g. a fish
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Immunology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Hydrology & Water Resources (AREA)
- Environmental & Geological Engineering (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Remote Sensing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a monitoring method for influencing the ecological health of water by commercial sand sampling activities of a Tongjiang lake in the technical field of ecological monitoring and evaluation, which comprises three parts of setting a standardized monitoring area, monitoring time and sample acquisition, wherein the monitoring area part sets 3 monitoring areas according to the water flow dynamic state of the Tongjiang lake, wherein the monitoring areas comprise 1 direct sand sampling interference area, 1 potential influence area and 1 reference area which is not interfered by sand sampling, and sample points of the three areas are distributed; the monitoring time part comprises a background investigation before mining, a tracking investigation after mining and a recovery investigation after stopping mining; the sample collection part comprises a water sample, a sediment sample and a benthonic animal sample, and the influence of sand collection activity on the ecological health of the water body water can be effectively evaluated by setting a scientific and reasonable space-time reference system and combining novel and complete field investigation planning.
Description
Technical Field
The invention relates to the technical field of ecological monitoring and assessment, in particular to a monitoring method for influencing the ecological health of water by commercial sand collection activities in lakes and rivers.
Background
Commercial sand mining is a large-scale and commercial group industry which is specially used for mining sand and stones on water or land for profit. In order to meet the rapid development requirements of society (such as construction industry, sea reclamation and beach restoration projects), the worldwide demand for sand and stones is increased by 23 times from 1900 to 2010, and the commercial sand mining activity is promoted to be rapidly increased worldwide. Statistically, about 400 million tons of sand are mined from oceans and inland waters each year. Among these, western developed countries produce millions of cubic sands from offshore locations each year. With economic growth, the demand for sand is increasing dramatically in many developing countries (e.g., india, indonesia, etc.). Due to the advantages of fresh water and sand resources (such as no corrosive salts and good cohesiveness), low mining cost and the lack of laws and regulations governing sand mining, many countries use inland fresh water as a mining place for sandstone resources.
With the construction of large key projects and the rapid development of urbanization in China, the demand of society for various sandstone materials is increasing day by day. Driven by huge economic benefits, commercial sand mining activities are spread across rivers and great rivers nationwide. The rapid development of the sand mining industry seriously threatens the health of the inland water body ecological system. The direct effects are mainly: 1) physical influence. Such as changing the topography and topography of river/lake beds, causing degradation of substrate nutrition, change of river channels, collapse of embankment, blockage of navigation channels, etc. In addition, the water and soil loss and desertification of the bank zone are aggravated by a large number of standing sandstone plants. 2) Water pollution. The disturbance of the sand production activity promotes the nutrient salts and heavy metal salts in the bottom mud to be released into the water body, and secondary pollution of endogenous pollutants is caused. In addition, suspended substances generated by sand extraction activity reduce the transparency of the water body and change the nutrient environment (such as total nitrogen, total phosphorus and the like) of the water body and the substrate. The sand extraction activity also destroys the underflow zone to promote the infiltration of the polluted surface water, so as to cause the pollution of the underground water layer and further threaten the safety of drinking water for people and livestock. In addition, waste oil and the like generated from sand collecting ships, excavators and bulldozers are discharged into nearby water bodies, resulting in surface water body pollution. 3) Reduce the diversity of aquatic organisms. Large-scale and unregulated sand production activities destroy species reservoir resources of biological zones (such as aquatic plants, benthonic animals, microorganisms and the like) in a water underflow area, destroy spawning sites and habitats (such as fishes and mussels) of aquatic organisms, change communities and functional structures of the aquatic organisms, destroy food chains and food net structures of water bodies, and lead to sharp reduction of the diversity of the water organisms. Long-term effects are manifested as degradation and loss of various ecological services (such as maintenance, material supply, regulation and culture) in the water. However, due to the opaqueness or non-uniform standard of the raw data of the sand production, a method for monitoring and evaluating the influence of commercial sand production on the ecological health of the land water is still lacked worldwide. The shortage of the inland water commercial sand collection monitoring and evaluating method causes that the human activity seriously threatens the health of the inland water ecological system in China and severely restricts the economic development and ecological civilization construction.
Based on the above, the invention designs a monitoring method for influencing the ecological health of water by the commercial sand collection activities of rivers and lakes, so as to solve the above-mentioned problems.
Disclosure of Invention
The invention aims to provide a method for monitoring influence of commercial sand collection activities of rivers and lakes on water ecological health, so as to solve the problems.
In order to achieve the purpose, the invention provides the following technical scheme: a monitoring method for influencing the ecological health of water by commercial sand collection activities in rivers and lakes comprises three parts of setting a standardized monitoring area, monitoring time and sample collection,
the monitoring area part is provided with 3 monitoring areas in total according to water flow dynamics of rivers of lakes, wherein the monitoring areas comprise 1 sand sampling direct interference area, 1 potential influence area and 1 reference area which is not interfered by sand sampling, and sampling points of the three areas are distributed;
the monitoring time part comprises a background investigation before mining, a tracking investigation after mining and a recovery investigation after stopping mining;
the specimen collection portion includes the use of water samples, sediment samples, and zoobenthos samples.
Preferably, the selection of the 3 monitoring regions specifically comprises the following steps:
(a) 1 sand mining direct interference area is distributed according to the mining area;
(b) the potential area of influence may be distributed in a number of ways, including:
(b.1) regarding a range of 0.5-2.0km around the direct interference area as a potential impact area;
(b.2) selecting a proper area at the position of 1.0-2.0km at the upstream of the direct interference area to be set as a potential influence area;
(b.3) selecting a proper area at a position 1.0-2.0km downstream of the direct interference area as a potential influence area;
(b.4) selecting a proper area at a position 1.0-2.0km above the direct interference area to be set as a potential influence area;
(b.5) selecting a proper area at a position 1.0-2.0km below the direct interference area to be set as a potential influence area;
(c) the reference area layout covers two modes:
(c.1) selecting a proper area which is not subjected to sand production interference as a reference area at the upstream 3.0-5.0km of the direct interference area and the potential influence area;
(c.2) selecting a proper area which is not subjected to sand production interference at a position 10.0-15.0km downstream of the direct interference area and the potential influence area as a reference area
Preferably, the area sampling point layout specifically includes the following steps:
(d) according to different areas of the direct interference area, three methods of a random method, an average method and a grid method can be adopted to arrange sampling points:
(d.1) random method in the area of direct interference<1.0km2Randomly distributing sampling points in the area;
(d.2) homogenization in a direct interference area of 1.0-3.0km2Uniformly distributing sampling points in the area;
(d.3) grid method in direct interference area>3.0km2The area of (2) is to distribute sampling points by a balanced linear grid to cover a direct interference area;
(e) depending on the area of the potential area of influence, the layout of the spots is as follows:
(e.1) random method, area of potential affected area<1.0km2Randomly distributing sampling points in the area;
(e.2) homogenization, in the area of the potential affected zone, 1.0-3.0km2Uniformly distributing sampling points in the area;
(e.3) grid method, 3.0-5.0km in area of potential affected area2In the area, sample points are distributed by a balanced linear grid;
(f) and according to the area of the reference area, arranging sampling points:
(f.1) random method, area of reference region<1.0km2Randomly distributing sampling points in the area;
(f.2) homogenization method, in which the area of the reference region is 1.0-3.0km2Uniformly distributing sampling points in the area;
(f.3) grid method, in the area of reference region 3.0-5.0km2The sampling points are arranged in a balanced linear grid.
Preferably, the monitoring time part specifically includes the following steps:
(g) carrying out background investigation before mining, wherein 2 times of background investigation is carried out on three investigation regions before mining in a direct interference region;
(h) tracking surveys after mining, and sequentially developing surveys in odd number of years after mining according to the mining years, wherein the surveys are carried out in the peak month of mining and are carried out for 2 times in each year;
(i) and (4) recovering the investigation after the mining is stopped, and tracking the investigation after the mining according to the time sequence of 0.5 year, 1 year, 3 years and 5 years, wherein the investigation frequency is 1 per year.
Preferably, the sample collection part specifically comprises the following steps:
(j) water sample: collecting a proper amount of surface water samples at corresponding sampling points by using a water sampler according to monitoring project parameters;
(k) bottom mud sample: randomly collecting 3 repeated samples at corresponding sampling points by using a Pederson dredger;
(l) Benthic animal samples: using a petderson dredge, 3-5 replicate samples were randomly collected at the corresponding spots.
Compared with the prior art, the invention has the beneficial effects that: according to the method, the influence of sand collection activities on the ecological health of the water body water can be effectively evaluated by setting a scientific and reasonable space-time reference system and combining novel and complete field investigation planning.
Compared with the traditional ecological evaluation method, the method has the following advantages: 1) the potential influence area is added, so that the secondary or potential influence of sand production interference can be effectively monitored; 2) the monitoring data are normalized, so that the sensitivity of ecological monitoring parameters can be effectively improved; 3) saving the cost of ecological monitoring and investigation, being ecological and friendly, and being capable of being popularized to various inland water bodies.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of a monitoring area according to the present invention; FIG. 1 shows water bodies in a lake through river; secondly, directly interfering the area by sand mining; thirdly, a potential influence area of sand mining; and fourthly, the reference area is not interfered by the sand production.
FIG. 2 is a schematic diagram of the layout of potential impact zones of the present invention; in fig. 2 a-E indicate that the potential area of influence is located in the order of the regions around, upstream, downstream, above and below the direct interference region. In the figure, firstly, a water body of a river-passing lake is shown; secondly, directly interfering the area by sand mining; thirdly, a potential influence area of sand mining; fourthly, a reference area which is not interfered by the sand production; water flow direction.
FIG. 3 is a schematic diagram of the layout of reference regions according to the present invention. In fig. 3 a and B are upstream and downstream of the direct interference zone and the potential impact zone, respectively, with respect to the reference zone. In the figure, firstly, a water body of a river-passing lake is shown; secondly, directly interfering the area by sand mining; thirdly, a potential influence area of sand mining; fourthly, a reference area which is not interfered by the sand production; water flow direction.
Fig. 4 is a layout diagram of sampling points of the interference receiving area according to the present invention. In fig. 4, a-C are sample point layout modes of a random method, a uniform method and a grid method in sequence. In the figure, firstly, a water body of a river-passing lake is shown; secondly, directly interfering the area by sand mining; thirdly, a potential influence area of sand mining; fourthly, a reference area which is not interfered by the sand production; water flow direction.
FIG. 5 is a layout diagram of samples of potential impact areas in accordance with the present invention. In fig. 5, a-C are sample point layout modes of a random method, a uniform method and a grid method in sequence. In the figure, firstly, a water body of a river-passing lake is shown; secondly, directly interfering the area by sand mining; thirdly, a potential influence area of sand mining; fourthly, a reference area which is not interfered by the sand production; water flow direction.
FIG. 6 is a layout diagram of sample points in the reference area according to the present invention. In fig. 6, a-C are sample point layout modes of a random method, a uniform method and a grid method in sequence. In the figure, firstly, a water body of a river-passing lake is shown; secondly, directly interfering the area by sand mining; thirdly, a potential influence area of sand mining; fourthly, a reference area which is not interfered by the sand production; water flow direction.
FIG. 7 is a sampling layout pattern diagram of the ecological impact monitoring of commercial sand mining in the Nandongting lake. In the figure, firstly, a south Dongting lake is shown; secondly, directly interfering the area; potential influence areas; and fourthly, reference area.
FIG. 8 is a schematic diagram of a sample point layout for monitoring ecological influences of commercial sand sampling in Nandongting lake. FIG. 8 shows water bodies in a lake through river; secondly, directly interfering the area by sand mining; thirdly, a potential influence area of sand mining; and fourthly, the reference area is not interfered by the sand production.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The invention provides a technical scheme that: a monitoring method for influencing the ecological health of water by commercial sand collection activities in rivers and lakes comprises three parts of setting a standardized monitoring area, monitoring time and sample collection,
the monitoring area part is provided with 3 monitoring areas (as shown in figure 1) according to water flow dynamics of the lake through the river, wherein the monitoring areas comprise 1 sand sampling direct interference area, 1 potential influence area and 1 reference area which is not interfered by sand sampling, and sample points of the three areas are distributed;
the selection of the 3 monitoring areas specifically comprises the following steps:
(a) 1 sand mining direct interference area is distributed according to the mining area (figure 2, II). This area is a direct production area for commercial sand production.
(b) The layout of the potential impact regions can be implemented in a number of ways (FIG. 2), including:
(b.1) regarding the range of 0.5-2.0km around the direct interference area as a potential impact area (fig. 2, a); the scheme is suitable for monitoring potential or secondary effect influence generated by the anchor suction type sand production ship in a large water area.
(b.2) selecting a proper area at the position of 1.0-2.0km at the upstream of the direct interference area to be set as a potential influence area (figure 2, B); the scheme is suitable for monitoring potential or secondary effect influence generated by sand-collecting ships in various forms in different types of water areas.
(b.3) selecting a proper area at the position of 1.0-2.0km downstream of the direct interference area as a potential influence area (figure 2, C); the scheme is suitable for monitoring potential or secondary effect influence generated by sand-collecting ships in various forms in different types of water areas.
(b.4) selecting a proper area at 1.0-2.0km above the direct interference area to be set as a potential influence area (figure 2, D); the scheme is suitable for monitoring potential or secondary effect influence generated by sand-collecting ships in various forms in different types of water areas.
(b.5) selecting a proper area at a position 1.0-2.0km below the direct interference area to be set as a potential influence area (figure 2, E); the scheme is suitable for monitoring potential or secondary effect influence generated by sand-collecting ships in various forms in different types of water areas.
(c) The reference area layout covers two modes:
(c.1) selecting a proper area which is not subjected to sand production interference as a reference area at the upstream 3.0-5.0km of the direct interference area and the potential influence area (figure 3, A). The method is suitable for arranging reference areas in various water areas, and the distance of 3.0-5.0km can ensure that the water environment and benthonic animal communities of the selected reference areas are similar to those of direct interference areas. In addition, the reference area is arranged at the upstream of the direct interference area, and is not easily influenced by the secondary action of the sand production operation.
(c.2) selecting a proper area which is not subjected to sand production interference as a reference area (figure 3, B) at the position of 10.0-15.0km downstream of the direct interference area and the potential influence area. This approach is suitable where a suitable reference area cannot be selected 3.0-5.0km upstream of the direct interference area. The secondary effect influence of the sand production operation can be avoided by the distance of 10.0-15.0 km.
The area of the direct disturbance zone is determined according to the project mining contract. On the premise of saving monitoring and evaluation cost, the areas of the potential influence area and the reference area are less than or equal to 5.0km2Most suitable. The three area sampling point layouts comprise: a random method, a uniform method and a grid method.
(d) According to different areas of the direct interference area, three methods of a random method, an average method and a grid method can be adopted to arrange sampling points:
(d.1) random method in the area of direct interference<1.0km2Randomly laying sampling points in the region (FIG. 4, A);
(d.2) homogenization in a direct interference area of 1.0-3.0km2Uniformly distributing sampling points in the region (4, B);
(d.3) grid method in direct interference area>3.0km2The sampling points are distributed by a balanced linear grid, and a direct interference area (figure 4, C) is covered;
(e) depending on the area of the potential area of influence, the layout of the spots is as follows:
(e.1) random method, area of potential affected area<1.0km2Randomly laying sampling points in the region (FIG. 5, A);
(e.2) homogenization, in the area of the potential affected zone, 1.0-3.0km2Uniformly distributing sampling points in the region (FIG. 5, B);
(e.3) grid method, in the area of potential affected area 3.0-5.0km2The sampling points are arranged in a balanced linear grid (figure 5, C);
(f) and according to the area of the reference area, arranging sampling points:
(f.1) random method, area of reference region<1.0km2Randomly laying sampling points in the region (FIG. 6, A);
(f.2) homogenization method, in which the area of the reference region is 1.0-3.0km2Uniformly distributing sampling points in the region (FIG. 6, B);
(f.3) grid method, in the area of reference region 3.0-5.0km2The sampling points are laid out in a balanced linear grid (fig. 6, C).
The monitoring time part comprises a background investigation before mining, a tracking investigation after mining and a recovery investigation after stopping mining;
the monitoring time part specifically comprises the following steps:
(g) performing background investigation before mining, and performing background investigation for 2 times on three investigation areas before mining in a direct interference area according to a project mining contract;
(h) and tracking and surveying after mining, and sequentially carrying out surveying in odd years (1, 3 and 5 … … years) after mining according to the mining years set by the project mining contract. The survey should be conducted in the peak months of mining, 2 surveys per year;
(i) and (4) recovering the investigation after the mining is stopped, and tracking the investigation after the mining according to the time sequence of 0.5 year, 1 year, 3 years, 5 years and the like, wherein the investigation frequency is 1 per year.
The specimen collection portion includes the use of water samples, sediment samples, and benthonic animals.
The sample collection part specifically comprises the following steps:
(j) water sample: collecting a proper amount of surface water samples at corresponding sampling points by using a water sampler according to monitoring project parameters;
(k) bottom mud sample: using a Pederson dredger (area 0.0625 m)2) Randomly collecting 3 repeated samples at corresponding sampling points;
(l) Benthic animal samples: using a Pederson dredger (area 0.0625 m)2) Randomly collecting 3-5 repetitions at corresponding sampling pointsAnd (3) sampling.
Example 2
Taking the ecological monitoring of commercial sand mining in the south Dongting lake as an example,
case monitoring area:
in the case, 1 area directly affected by the sand production, 1 area potentially affected by the sand production and 1 reference area not affected by the sand production are set according to the water flow condition of the Nandongting lake, and 3 ecological monitoring areas are set (figure 7). The detailed description is as follows:
(a) 1 area directly influenced by the sand production is distributed according to the production plan, and the area is about 3.0km2(FIG. 7, C). This zone is the direct production zone for sand production. The investigation aiming at the area can directly reflect the influence of the sand-collecting activity on the water quality environment, the substrate environment and the benthonic animals in the area.
(b) 1 potential influence area is distributed at a distance of about 1.0km from a direct interference area, and the area is about 2.4km2(FIG. 7, c). The potential influence area setting has the following functions: (1) observing the influence of the secondary effect (potential effect) of the sand mining interference on the ecological environment of the peripheral area of the direct interference area; (2) screening whether the sand production intensity of the direct interference area exceeds a contractual regulation threshold value or not through ecological and environmental changes of a potential influence area; (3) and after the exploitation of the contract project is finished, providing a species source for the ecological restoration of the direct interference area.
(c) 1 reference areas which are not subjected to sand production interference are respectively arranged in a downstream area 15.0km away from a direct sand production area, and the area is about 3.0km2(FIG. 7, iv). In the case, since the direct interference area and the upstream of the potential interference area are affected by the interference of illegal sand production, it is difficult to find a suitable reference area. Therefore, ten thousand lakes 15.0km downstream are selected as the reference area in the case. The reference region functions as: (1) comparing the change of the temporal-spatial gradient of the reference area and the other two areas along the sand mining interference; (2) the influence of the sand production activity of the direct interference area on the reference area is avoided, and the accuracy of the obtained data is ensured.
Case sample point layout
In this case, the three regions are suitable for uniformly distributing the relevant sampling points (fig. 8) according to the corresponding areas of the three regions. The auspicious feelings are as follows:
(a) 10 sampling points are uniformly distributed in the direct interference area (fig. 8, II).
(b) 5 sampling points are arranged in the potential influence area ((8, third) in the figure).
(c) 9 spots were arranged in the reference area (FIG. 8, R).
Case monitoring time
The mining time of the direct interference area in the case is 9 months in 2014, 4-10 months per year is the peak mining period, and the annual sand mining amount is about 7.6 multiplied by 107m3. During the mining period of the sand mining area, more than 14 anchor suction type large-scale sand mining ships (2500 m)3H) active in the lake zone. Commercial mining activities were stopped in 2017 at 11 months due to central and local government regulations. The case has the following monitoring time auspicious feelings:
(a) pre-mining background surveys were completed 2 times in 5 and 8 months of 2014.
(b) The follow-up survey after mining was completed in the 1 st year (2015) and the 3 rd year (2017) after mining in this order. The survey was completed in 5 and 8 months of these years, respectively.
(c) And (4) recovering the survey after the stoping, and completing the survey according to the time sequence of 0.5 year (4 months in 2018), 1 year (10 months in 2018) and the like, wherein the number of the surveys is 1 per year.
Sample collection protocol
(a) Water sample: and collecting a proper amount of surface water samples at corresponding sampling points by using a water sampler according to monitoring items.
(b) Bottom mud sample: using a Pederson dredger (area 0.0625 m)2) 3 replicate samples were taken randomly at the corresponding spots.
(c) Benthic animal samples: using a Pederson dredger (area 0.0625 m)2) 3 replicate samples were taken randomly at the corresponding spots.
Case monitoring effect
Case monitoring results show that:
(1) commercial production sand directly causes a 96.9% water quality shift and indirectly causes a 70.7% water quality shift. Compared with the traditional method, the monitoring of the direct effect is improved by 27.6%, and the monitoring of the potential effect is improved by 70.7% (table 1).
(2) Commercial production sand directly causes a 75.4% substrate shift and indirectly a 70.6% substrate shift. Compared with the traditional method, the monitoring of direct and indirect effects is respectively improved by 25.1% and 70.6%.
(3) The direct and indirect impact of commercial sand production on benthic animal populations was 95.8% and 78.4%, respectively. Compared with the traditional method, the monitoring of direct and potential effects is improved by 26.6% and 78.4%, respectively.
TABLE 1 comparison of the present invention with conventional ecological monitoring methods
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. A monitoring method for influencing water ecological health by commercial sand collection activities in lakes and rivers is characterized by comprising the following steps: comprises three parts of setting a standardized monitoring area, monitoring time and sample collection,
the monitoring area part is provided with 3 monitoring areas in total according to water flow dynamics of rivers of lakes, wherein the monitoring areas comprise 1 sand sampling direct interference area, 1 potential influence area and 1 reference area which is not interfered by sand sampling, and sampling points of the three areas are distributed;
the monitoring time part comprises a background investigation before mining, a tracking investigation after mining and a recovery investigation after stopping mining;
the specimen collection portion includes the use of water samples, sediment samples, and zoobenthos samples.
2. The method for monitoring influence of commercial sand-collecting activities in lakes and rivers on ecological health of water according to claim 1, wherein the method comprises the following steps: the selection of the 3 monitoring areas specifically comprises the following steps:
(a) 1 sand mining direct interference area is distributed according to the mining area;
(b) the potential area of influence may be distributed in a number of ways, including:
(b.1) regarding a range of 0.5-2.0km around the direct interference area as a potential impact area;
(b.2) selecting a proper area at the position of 1.0-2.0km at the upstream of the direct interference area to be set as a potential influence area;
(b.3) selecting a proper area at a position 1.0-2.0km downstream of the direct interference area as a potential influence area;
(b.4) selecting a proper area at a position 1.0-2.0km above the direct interference area to be set as a potential influence area;
(b.5) selecting a proper area at a position 1.0-2.0km below the direct interference area to be set as a potential influence area;
(c) the reference area layout covers two modes:
(c.1) selecting a proper area which is not subjected to sand production interference as a reference area at the upstream 3.0-5.0km of the direct interference area and the potential influence area;
and (c.2) selecting a proper area which is not subjected to sand production interference as a reference area at a position which is 10.0-15.0km downstream of the direct interference area and the potential influence area.
3. The method for monitoring influence of commercial sand-collecting activities in lakes and rivers on ecological health of water according to claim 1, wherein the method comprises the following steps: the area sampling point layout specifically comprises the following steps:
(d) according to different areas of the direct interference area, three methods of a random method, an average method and a grid method can be adopted to arrange sampling points:
(d.1) random method in the area of direct interference<1.0km2Randomly distributing sampling points in the area;
(d.2) homogenization in a direct interference area of 1.0-3.0km2Uniformly distributing sampling points in the area;
(d.3) grid method in direct interference area>3.0km2The area of (2) is to distribute sampling points by a balanced linear grid to cover a direct interference area;
(e) depending on the area of the potential area of influence, the layout of the spots is as follows:
(e.1) random method, area of potential affected area<1.0km2Randomly distributing sampling points in the area;
(e.2) homogenization, in the area of the potential affected zone, 1.0-3.0km2Uniformly distributing sampling points in the area;
(e.3) grid method, 3.0-5.0km in area of potential affected area2In the area, sample points are distributed by a balanced linear grid;
(f) and according to the area of the reference area, arranging sampling points:
(f.1) random method, area of reference region<1.0km2Randomly distributing sampling points in the area;
(f.2) homogenization method, in which the area of the reference region is 1.0-3.0km2Uniformly distributing sampling points in the area;
(f.3) grid method, in the area of reference region 3.0-5.0km2The sampling points are arranged in a balanced linear grid.
4. The method for monitoring influence of commercial sand-collecting activities in lakes and rivers on ecological health of water according to claim 1, wherein the method comprises the following steps: the monitoring time part specifically comprises the following steps:
(g) carrying out background investigation before mining, wherein 2 times of background investigation is carried out on three investigation regions before mining in a direct interference region;
(h) tracking surveys after mining, and sequentially developing surveys in odd number of years after mining according to the mining years, wherein the surveys are carried out in the peak month of mining and are carried out for 2 times in each year;
(i) and (4) recovering the investigation after the mining is stopped, and tracking the investigation after the mining according to the time sequence of 0.5 year, 1 year, 3 years and 5 years, wherein the investigation frequency is 1 per year.
5. The method for monitoring influence of commercial sand-collecting activities in lakes and rivers on ecological health of water according to claim 1, wherein the method comprises the following steps: the sample collection part specifically comprises the following steps:
(j) water sample: collecting a proper amount of surface water samples at corresponding sampling points by using a water sampler according to monitoring project parameters;
(k) bottom mud sample: randomly collecting 3 repeated samples at corresponding sampling points by using a Pederson dredger;
(l) Benthic animal samples: using a petderson dredge, 3-5 replicate samples were randomly collected at the corresponding spots.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011455098.1A CN112557616B (en) | 2020-12-10 | 2020-12-10 | Monitoring method for influencing water ecological health by commercial sand-collecting activities of lake through river |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011455098.1A CN112557616B (en) | 2020-12-10 | 2020-12-10 | Monitoring method for influencing water ecological health by commercial sand-collecting activities of lake through river |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112557616A true CN112557616A (en) | 2021-03-26 |
| CN112557616B CN112557616B (en) | 2022-03-11 |
Family
ID=75061647
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011455098.1A Active CN112557616B (en) | 2020-12-10 | 2020-12-10 | Monitoring method for influencing water ecological health by commercial sand-collecting activities of lake through river |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112557616B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116519897A (en) * | 2023-05-05 | 2023-08-01 | 吉林工程技术师范学院 | Aquatic pollutant detection device |
Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050091009A1 (en) * | 2003-01-31 | 2005-04-28 | Fmsm Engineers, Inc. | River assessment, monitoring and design system |
| CN1865995A (en) * | 2006-05-12 | 2006-11-22 | 中国科学院南京地理与湖泊研究所 | Method for evaluating effect of seriously-polluted lake dredging on bottom mud microbe ecological system structure and function |
| KR101328026B1 (en) * | 2013-02-06 | 2013-11-13 | 한국건설기술연구원 | Aquatic environment monitoring system using the profiling technology according to water depth and aquatic environment monitoring method |
| CN104049066A (en) * | 2014-06-26 | 2014-09-17 | 中国环境科学研究院 | River water quality and biological monitoring system and method for irregularly-shaped region |
| KR20140141846A (en) * | 2013-05-31 | 2014-12-11 | 중앙대학교 산학협력단 | Monitoring system for water quality |
| CN106202960A (en) * | 2016-07-21 | 2016-12-07 | 沈阳环境科学研究院 | A kind of health assessment method based on Lake Water ecosystem |
| CN106202163A (en) * | 2016-06-24 | 2016-12-07 | 中国环境科学研究院 | Tongjiang lake ecological monitoring information management and early warning system |
| CN106337389A (en) * | 2016-08-16 | 2017-01-18 | 中电建水环境治理技术有限公司 | On-line monitoring and intelligent identification system and method for river and lake pollution bottom sludge treatment |
| CN106682326A (en) * | 2016-12-30 | 2017-05-17 | 上海利水水生环境研究所 | Method for evaluating ecological restoration of city watercourse |
| CN106845750A (en) * | 2016-11-04 | 2017-06-13 | 南大（常熟）研究院有限公司 | A kind of Basin of Huaihe River Ecology health status evaluation method |
| CN107764963A (en) * | 2017-10-12 | 2018-03-06 | 水利部交通运输部国家能源局南京水利科学研究院 | A kind of diversion works lake ecological influences monitoring and assessment technology method |
| CN108108911A (en) * | 2018-01-09 | 2018-06-01 | 中国科学院南京地理与湖泊研究所 | Large-size lake subregion water quality objective formulating method based on aquatic ecosystem health |
| WO2018214190A1 (en) * | 2017-06-19 | 2018-11-29 | 中国科学院南京地理与湖泊研究所 | Stereoscopic monitoring and data mining system and method for harmful lake cyanobacteria bloom |
| CN109118101A (en) * | 2018-08-24 | 2019-01-01 | 华北水利水电大学 | A kind of River Health Assessment method suitable for Shelter in South China Cities river |
| CN109239291A (en) * | 2018-09-27 | 2019-01-18 | 东莞青柳新材料有限公司 | Lake water quality intelligent monitor system |
| CN109615195A (en) * | 2018-11-29 | 2019-04-12 | 北京市水科学技术研究院 | A kind of mountain stream hydrology landforms classification evaluation method |
| CN110093897A (en) * | 2018-08-01 | 2019-08-06 | 天津德言科技有限公司 | The system for adopting sand riverbed ecology can be repaired |
| CN110361383A (en) * | 2019-06-19 | 2019-10-22 | 广州大学 | A kind of lake historical ecology health assessment method based on sedimentary column snapshot |
| CN110954490A (en) * | 2019-12-03 | 2020-04-03 | 交通运输部天津水运工程科学研究所 | Method for evaluating ecological restoration condition of river channel |
| CN111062361A (en) * | 2019-12-27 | 2020-04-24 | 中水北方勘测设计研究有限责任公司 | Method and device for monitoring and analyzing sand production on river and lake shoreline |
| CN111638310A (en) * | 2020-06-05 | 2020-09-08 | 中国计量大学 | River water quality monitoring system based on LoRa |
-
2020
- 2020-12-10 CN CN202011455098.1A patent/CN112557616B/en active Active
Patent Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050091009A1 (en) * | 2003-01-31 | 2005-04-28 | Fmsm Engineers, Inc. | River assessment, monitoring and design system |
| CN1865995A (en) * | 2006-05-12 | 2006-11-22 | 中国科学院南京地理与湖泊研究所 | Method for evaluating effect of seriously-polluted lake dredging on bottom mud microbe ecological system structure and function |
| KR101328026B1 (en) * | 2013-02-06 | 2013-11-13 | 한국건설기술연구원 | Aquatic environment monitoring system using the profiling technology according to water depth and aquatic environment monitoring method |
| KR20140141846A (en) * | 2013-05-31 | 2014-12-11 | 중앙대학교 산학협력단 | Monitoring system for water quality |
| CN104049066A (en) * | 2014-06-26 | 2014-09-17 | 中国环境科学研究院 | River water quality and biological monitoring system and method for irregularly-shaped region |
| CN106202163A (en) * | 2016-06-24 | 2016-12-07 | 中国环境科学研究院 | Tongjiang lake ecological monitoring information management and early warning system |
| CN106202960A (en) * | 2016-07-21 | 2016-12-07 | 沈阳环境科学研究院 | A kind of health assessment method based on Lake Water ecosystem |
| CN106337389A (en) * | 2016-08-16 | 2017-01-18 | 中电建水环境治理技术有限公司 | On-line monitoring and intelligent identification system and method for river and lake pollution bottom sludge treatment |
| CN106845750A (en) * | 2016-11-04 | 2017-06-13 | 南大（常熟）研究院有限公司 | A kind of Basin of Huaihe River Ecology health status evaluation method |
| CN106682326A (en) * | 2016-12-30 | 2017-05-17 | 上海利水水生环境研究所 | Method for evaluating ecological restoration of city watercourse |
| WO2018214190A1 (en) * | 2017-06-19 | 2018-11-29 | 中国科学院南京地理与湖泊研究所 | Stereoscopic monitoring and data mining system and method for harmful lake cyanobacteria bloom |
| CN107764963A (en) * | 2017-10-12 | 2018-03-06 | 水利部交通运输部国家能源局南京水利科学研究院 | A kind of diversion works lake ecological influences monitoring and assessment technology method |
| CN108108911A (en) * | 2018-01-09 | 2018-06-01 | 中国科学院南京地理与湖泊研究所 | Large-size lake subregion water quality objective formulating method based on aquatic ecosystem health |
| CN110093897A (en) * | 2018-08-01 | 2019-08-06 | 天津德言科技有限公司 | The system for adopting sand riverbed ecology can be repaired |
| CN109118101A (en) * | 2018-08-24 | 2019-01-01 | 华北水利水电大学 | A kind of River Health Assessment method suitable for Shelter in South China Cities river |
| CN109239291A (en) * | 2018-09-27 | 2019-01-18 | 东莞青柳新材料有限公司 | Lake water quality intelligent monitor system |
| CN109615195A (en) * | 2018-11-29 | 2019-04-12 | 北京市水科学技术研究院 | A kind of mountain stream hydrology landforms classification evaluation method |
| CN110361383A (en) * | 2019-06-19 | 2019-10-22 | 广州大学 | A kind of lake historical ecology health assessment method based on sedimentary column snapshot |
| CN110954490A (en) * | 2019-12-03 | 2020-04-03 | 交通运输部天津水运工程科学研究所 | Method for evaluating ecological restoration condition of river channel |
| CN111062361A (en) * | 2019-12-27 | 2020-04-24 | 中水北方勘测设计研究有限责任公司 | Method and device for monitoring and analyzing sand production on river and lake shoreline |
| CN111638310A (en) * | 2020-06-05 | 2020-09-08 | 中国计量大学 | River water quality monitoring system based on LoRa |
Non-Patent Citations (3)
| Title |
|---|
| 江苏省质量技术监督局: "《江苏省地方标准》", 5 May 2017 * |
| 环境保护部办公厅: "《湖泊生态安全调查与评估》", 23 December 2014 * |
| 郑小康 等: "黄河干流河道采砂对生态环境的影响及对策", 《人民黄河》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116519897A (en) * | 2023-05-05 | 2023-08-01 | 吉林工程技术师范学院 | Aquatic pollutant detection device |
| CN116519897B (en) * | 2023-05-05 | 2024-04-12 | 吉林工程技术师范学院 | Aquatic pollutant detection device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112557616B (en) | 2022-03-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Mborah et al. | Evaluating alternate post-mining land-uses: A review | |
| Johannes et al. | The effect of submarine groundwater discharge on nutrient and salinity regimes in a coastal lagoon off Perth, Western Australia | |
| Hofmann et al. | Analysis of recent nutrient emission pathways, resulting surface water quality and ecological impacts under extreme continental climate: the Kharaa River Basin (Mongolia) | |
| Idu | Threats to water resources development in Nigeria | |
| Dennehy et al. | SOUTH PLATTE RIVER BASIN‐COLORADO, NEBRASKA, AND WYOMING 1 | |
| Chen et al. | Impact of disposal of dredged material on sediment quality in the Kaohsiung Ocean Dredged Material Disposal Site, Taiwan | |
| Birch et al. | The environmental status of Hawkesbury River sediments | |
| Brezonik et al. | Effects of reducing nutrient loads to surface waters within the Mississippi River Basin and the Gulf of Mexico | |
| Zahid | Groundwater management aspects in Bangladesh | |
| Hudak | Sulfate and chloride concentrations in Texas aquifers | |
| CN112557616B (en) | Monitoring method for influencing water ecological health by commercial sand-collecting activities of lake through river | |
| Rodriguez-Lazaro et al. | Recent benthic foraminifers as indicators of the sedimentary dynamics of the Tina Mayor and Tina Menor estuaries (S Bay of Biscay, N Spain) | |
| Johnson | Environmental setting and water-quality issues of the Mobile River basin, Alabama, Georgia, Mississippi, and Tennessee | |
| Eriksen et al. | Characterization of the Bago Sub-Basin Pilot Implementing the EU Water Framework Directive | |
| Mades | Surface-water-quality assessment of the upper Illinois River basin in Illinois, Indiana, and Wisconsin; project description | |
| Chakraborty et al. | Conclusion on Eco-biological Uniqueness of Wetland Ecosystem with Special Reference with East Kolkata Wetlands, India | |
| Peck et al. | Influence of relict milldams on riparian sediment biogeochemistry | |
| Barber | Sediment, nutrient and runoff management and mitigation in rural catchments | |
| Burr et al. | Fishes of the Big Muddy River drainage with emphasis on historical changes | |
| Kyro | Nitrogen Dynamics and Transport along Flowpaths in a Rural Wetland-Stream Complex | |
| Ntislidou et al. | Ecological Water Quality and Management at a River Basin Level: A Case Study from River Basin Kosynthos in June 2011 | |
| Tofflemire et al. | Land disposal of wastewater | |
| Sethi et al. | Urban Growth and its Impact on Groundwater Resources and Sustainability in Gurugram Block, Using Geospatial Technology | |
| Shah et al. | Impact of climate change and anthropogenic activities on lacustrine ecosystems of the Kashmir Valley, NW Himalaya, India | |
| Landrum | Trace Metal Variability of Estuarine Sediments, St. Bernard Geomorphic Region, Louisiana |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |