NL2032787B1 - Method for evaluating heavy metal contamination for different land use types - Google Patents
Method for evaluating heavy metal contamination for different land use types Download PDFInfo
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- NL2032787B1 NL2032787B1 NL2032787A NL2032787A NL2032787B1 NL 2032787 B1 NL2032787 B1 NL 2032787B1 NL 2032787 A NL2032787 A NL 2032787A NL 2032787 A NL2032787 A NL 2032787A NL 2032787 B1 NL2032787 B1 NL 2032787B1
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- soil
- sampling
- heavy metal
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- 229910001385 heavy metal Inorganic materials 0.000 title claims abstract description 39
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000011109 contamination Methods 0.000 title abstract description 39
- 239000002689 soil Substances 0.000 claims abstract description 57
- 238000005070 sampling Methods 0.000 claims abstract description 45
- 229910052751 metal Inorganic materials 0.000 claims abstract description 4
- 238000005259 measurement Methods 0.000 claims description 11
- 229910052793 cadmium Inorganic materials 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 claims description 9
- BDOSMKKIYDKNTQ-UHFFFAOYSA-N cadmium atom Chemical compound [Cd] BDOSMKKIYDKNTQ-UHFFFAOYSA-N 0.000 claims description 8
- 229910052785 arsenic Inorganic materials 0.000 claims description 7
- 229910052753 mercury Inorganic materials 0.000 claims description 7
- RQNWIZPPADIBDY-UHFFFAOYSA-N arsenic atom Chemical compound [As] RQNWIZPPADIBDY-UHFFFAOYSA-N 0.000 claims description 5
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 claims description 5
- 238000003672 processing method Methods 0.000 claims description 5
- 238000001391 atomic fluorescence spectroscopy Methods 0.000 claims description 3
- 238000010219 correlation analysis Methods 0.000 claims description 3
- 238000002474 experimental method Methods 0.000 claims description 3
- 239000003864 humus Substances 0.000 claims description 3
- 238000001543 one-way ANOVA Methods 0.000 claims description 3
- 238000000673 graphite furnace atomic absorption spectrometry Methods 0.000 claims description 2
- 238000012360 testing method Methods 0.000 claims description 2
- 238000000705 flame atomic absorption spectrometry Methods 0.000 claims 1
- 238000003754 machining Methods 0.000 claims 1
- 230000007613 environmental effect Effects 0.000 abstract description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 abstract description 2
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 229910052799 carbon Inorganic materials 0.000 abstract 1
- 239000002184 metal Substances 0.000 abstract 1
- 239000011651 chromium Substances 0.000 description 13
- 238000011160 research Methods 0.000 description 12
- 229910052804 chromium Inorganic materials 0.000 description 6
- 238000011156 evaluation Methods 0.000 description 6
- VYZAMTAEIAYCRO-UHFFFAOYSA-N Chromium Chemical compound [Cr] VYZAMTAEIAYCRO-UHFFFAOYSA-N 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000003321 atomic absorption spectrophotometry Methods 0.000 description 2
- 229910052745 lead Inorganic materials 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 241001070941 Castanea Species 0.000 description 1
- 235000014036 Castanea Nutrition 0.000 description 1
- 241000723347 Cinnamomum Species 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000001479 atomic absorption spectroscopy Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000017803 cinnamon Nutrition 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000001506 fluorescence spectroscopy Methods 0.000 description 1
- 229910002804 graphite Inorganic materials 0.000 description 1
- 239000010439 graphite Substances 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 229910052759 nickel Inorganic materials 0.000 description 1
- 239000005416 organic matter Substances 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
- 238000000918 plasma mass spectrometry Methods 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
- 229910052725 zinc Inorganic materials 0.000 description 1
Classifications
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- 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
-
- G01N33/245—
-
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- 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
- G01N2001/021—Correlating sampling sites with geographical information, e.g. GPS
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/3103—Atomic absorption analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/6402—Atomic fluorescence; Laser induced fluorescence
- G01N21/6404—Atomic fluorescence
Abstract
Provided is a method for evaluating heavy metal contamination for different land use types. The method includes the following steps: selecting sample lands; determining 5 environmental monitoring contents and a sampling method; measuring bulk density of soil, and measuring a content of organic carbon and a content of plant samples in the soil. According to the method, heavy metal contamination situations of different land use types can be accurately detected, operation is simple, efficiency of evaluating heavy metal contamination of different land use types can be greatly improved, heavy 10 metal contents of different land use types in Haibei of Qinghai province can be measured, and a change of a heavy metal contamination degree along with a change of a soil depth can be measured.
Description
METHOD FOR EVALUATING HEAVY METAL CONTAMINATION FOR
DIFFERENT LAND USE TYPES
[DI] The present invention relates to the field of environmental monitoring, in particular to a method for evaluating heavy metal contamination for different land use types.
[02] Even having a desirable overall environmental condition, Qinghai province is seriously polluted in limited areas. The research status is summarized as follows: (1) research scope: up to now, investigation of heavy metal contamination of soil has only been made in the Qinghai lake basin, the vicinity of the Haibei chemical plant, a certain polymetallic ore district in Golmud, the eastern area of Qinghai province, and
Ganhetan industrial park. (2) Research contents: research on current situation of heavy metal contamination, analysis of heavy metal sources, and evaluation of heavy metal contamination. (3) Heavy metal contamination detection: Cu, Zn and Ni are detected mainly through electron coupled plasma spectrometry, Cd, Pb and Cr are detected mainly through electron coupled plasma mass spectrometry, and As and Hg are detected mainly through fluorescence spectrometry. (4) Contamination evaluation method: the status of heavy metal contamination of soil in the province is evaluated mainly through single factor contamination index, nemerow contamination index, geoaccumulation index and potential ecological risk index.
[03] It can be seen from the previous research on heavy metal in soil that in the prior art, there is not a systematic method for evaluating heavy metal contamination for different land use types.
[04] The present invention provides a method for evaluating heavy metal contamination for different land use types. The method includes the following steps:
[05] (1) collecting samples, specifically, striping off a humus layer at an upper portion, carrying out stratified sampling along a soil profile in sequence by means of a sampling tool, three layers, that is, a layer A (0 cm - 10 cm), a layer B (10 cm - 20 cm) and a layer C (20 cm - 30 cm) being subjected to sampling in total, and finally, storing the obtained samples in plastic bags. In this research, there are 33 sampling points and 99 soil samples in total, 6 sampling points and 18 samples being in an observation field, and 6 samples being in each of the layer A, the layer B and the layer C. The number of samples in an oat field is consistent with that in the observation field. There are 3 sampling points and 9 samples in a farming-pastoral ecotone, 3 samples being in each of the layer A, the layer B and the layer C. There are 9 sampling points and 27 samples in each of the cases of less and more enclosure human disturbances, 9 pieces of soil being in each layer.
[06] (2) Recording sampling information, specifically, recording the sampling information by means of information cards, main contents including sampling time, sampling position, sampling depth, sampling code, processing method, etc.
[07] (3) Carrying out analysis and measurement on the samples. 33 groups of samples are collected in this experiment, which are 99 soil samples in total, and the samples are sent to a third-party measurement unit for measurement to obtain original data of the samples. During sample measurement, a concentration of lead and a concentration of cadmium are measured through graphite fumace atomic absorption spectrometry (GB/T 17141-1997); a concentration of total chromium is measured through flame atomic absorption spectrophotometry (HJ 491-2009); and a concentration of total mercury and a concentration of total arsenic are measured through atomic fluorescence spectrometry.
[08] (4) Evaluating the samples, specifically, evaluating the sampled soil through single factor contamination index, nemerow contamination index, geoaccumulation index and potential ecological risk index.
[09] (5) Processing data, specifically, carrying out statistic and analysis on the data by means of microsoft excel 2010 and SPSS24 software; determining a difference between a processing method and a heavy metal content through one-way analysis of variance; and testing correlations between various metal elements through correlation analysis.
[10] Technical effects: the present application provides a method for evaluating heavy metal contamination for different land use types, heavy metal contamination situations of different land use types may be accurately detected, operation is simple, efficiency of evaluating heavy metal contamination of different land use types may be greatly improved, heavy metal contents of different land use types in Haibei of
Qinghai province may be measured, and a change of a heavy metal contamination degree along with a change of a soil depth may be detected.
[11] FIG. 1: Position diagram of sampling points.
[12] FIG. 2: Relation between heavy metal content and deep treatment type.
[13] FIG. 3: Content changes of cadmium in the cases of five land use types.
[14] FIG. 4: Content changes of chromium in the cases of five land use types.
[15] FIG. 5: Content change diagram of arsenic in the cases of five land use types.
[16] FIG. 6: Content change diagram of mercury in the cases of five land use types.
[17] L Overview of physical geography of research area
[18] 1. Geographical position
[19] The research sample land is located in Haibei tibetan autonomous region,
Qinghai province, specifically located in an eastern section of Qilian mountains, and in northwest of Datong river, and has an altitude of about 3200 m. This land belongs to a
Menyuan horse farm of Menyuan hui autonomous county, and distances from Xining by about 260 km. A specific position is shown in FIG. 2.
[20] 2. Climate characteristics
[21] Since Haibei station 1s in a plateau continental climate, temperatures are relatively low all year round, and an annual average temperature is -2.4°C - 1.4°C; and extreme temperatures exist, where an extremely high temperature is about 28°C, and an extremely low temperature is about -38°C, and thus a temperature difference is large. Being affected by southeast trade wind, summer is relatively cool but lasts for a relatively short time; and being affected by siberia cold current, winter is cold, long, and strong in solar radiation. The hot season is also the rainy season, the four seasons are not obviously divided, average annual precipitation is 426.8 mm, and annual sunshine hours are 2517.6 h - 29953 h.
[22] 3. Hydrological characteristics
[23] This area is the birthplace of Datong river, Heihe, Huangshui river and
Qinghai lake, 80% of water in Qinghai lake comes from this area every year, there are relatively extensive glaciers in this area, the ice storage capacity is up to 130.44 billion m3, and the main snow peak is gangshika snow peak, which is one of the main peaks of gilian mountains.
[24] 4. Soil parent material [BS] The soil in the research area is mainly alpine meadow soil and mountain meadow soil, and contains chernozem soil, chestnut soil, gray cinnamon soil and so on, which are rich in organic matter and are beneficial to plant growth. The soil depth is about 60 cm, and a parent material is loess, under which flood alluvial deposit is located.
[26] 5. Transportation overview
[27] Transportation conditions in the area are convenient, and various types of highways and railways pass through a map area in north-south and east-west directions in a concentrated manner. There are nearly east-west 302 and 304 national highways, a northwest-southeast 227 national highway, a Qinghai-tibet railway, and a Huangjia highway across the whole territory, which provides convenience for transportation of the research area.
[28] II. Sample collection and treatment
[29] 1. Sample collection 5 [30] Sampling objective: a research content is heavy metal contamination of
Haibei tibetan autonomous prefecture, Qinghai province in the cases of different land use modes. The sampling objective is mainly as follows: detect whether contents of tive kinds of heavy metal of lead, cadmium, chromium, arsenic and mercury in soil samples exceed the standard; analyze content changes of the monitored heavy metal in space and internal relations between the contents of the heavy metal; and evaluate heavy metal contamination through various methods.
[31] Arrangement principle of sampling points: arranged points shall be representative, and shall be able to represent soil conditions of the whole sample land.
Sampling should be carried out in positions where soil characteristics are obvious, and it is required that sampling point profiles should be completely developed, and have clear levels and no other material contamination; points should not be arranged in places where soil and vegetation are severely damaged; the positions where points are arranged should have less human interferences, such as: places far away from roads and places far away from residential areas; and the positions of the sampling points and the soil use types shall be specified during recording.
[32] Sample collection: a humus layer at an upper portion is striped off, stratified sampling is carried out along a soil profile in sequence by means of a sampling tool, three layers, that is, a layer A (0 cm - 10 cm), a layer B (10 cm - 20 cm) and a layer C (20 cm - 30 cm) are subjected to sampling in total, and finally, the obtained samples are stored in plastic bags. In this research, there are 33 sampling points and 99 soil samples in total, 6 sampling points and 18 samples being in an observation field, and 6 samples being in each of the layer A, the layer B and the layer C. The number of samples in an oat field is consistent with that in the observation field. There are 3 sampling points and 9 samples in a farming-pastoral ecotone, 3 samples being in each of the layer A, the layer B and the layer C. There are 9 sampling points and 27 samples in each of the cases of less and more enclosure human disturbances, 9 pieces of soil being in each layer.
[33] Sampling information recording: the sampling information is recorded by means of information cards, and main contents include sampling time, sampling position, sampling depth, sampling code, processing method, etc.
[34] 2. Sample analysis and measurement
[35] 33 groups of samples are collected in this experiment, which are 99 soil samples in total, and the samples are sent to a third-party measurement unit for measurement to obtain original data of the samples. During sample measurement, a concentration of lead and a concentration of cadmium are measured through graphite furnace atomic absorption spectrometry (GB/T 17141-1997); a concentration of total chromium is measured through flame atomic absorption spectrophotometry (HJ 491-2009); and a concentration of total mercury and a concentration of total arsenic are measured through atomic fluorescence spectrometry.
[36] 3. Sample evaluation
[37] The sampled soil is evaluated through single factor contamination index, nemerow contamination index, geoaccumulation index and potential ecological risk index herein.
[38] Single factor contamination index is a common contamination evaluation method, generally, main contamination factors may be obtained by analysis by dividing a standard value with an actual value, and the operation is relatively simple.
However, for evaluation of an overall soil contamination degree, it is difficult to draw a conclusion through this method. Nemerow contamination index is based on the single factor contamination index, may analyze soil contamination situations under actions of a plurality of factors, and this method focuses on the factors having the greatest impact on soil contamination. Geoaccumulation index mainly emphasizes impacts of background values on contamination, which may relatively intuitively show levels of soil contamination. Potential ecological risk index comprehensively considers background differences, ecological reasons and subjectivity of values selected during evaluation in the above methods, and is a comprehensive index comprehensively reflecting a soil contamination degree.
[39] 4. Data processing
[40] Statistic and analysis are carried out on the data by means of microsoft excel 2010 and SPSS24 software. A difference between a processing method and a heavy metal content is determined through one-way analysis of variance; and correlations between various metal elements are tested through correlation analysis.
[41] III. Results and Analysis
[42] 1. Heavy metal content characteristics
[43] Contents of Pb, Cr, Cd, As and Hg in the cases of five different land use modes, that is, an observation field, a farming-pastoral ecotone, less enclosure interferences (enclosure-1) and more enclosure interferences (enclosure-2) are compared with background values of soil in Qinghai province, so as to determine whether a heavy metal content exceeds the standard. The results are as follows:
[44] Table 1 Background values of elements in soil in Qinghai province
Element Pb Cr Cd As Hg
Background 20.7 70.1 0.137 14 0.02 value
[45] FIG. 2 shows content changes of lead at three levels of 0 cm - 10 cm, 10 cm - cm and 20 cm - 30 cm in the cases of five different use modes, that is, an observation field, a farming-pastoral ecotone, less enclosure interferences 20 (enclosure-1) and more enclosure interferences (enclosure-2), and
[46] it can be seen from the figure that heavy metal contents at the three levels of
Ocm - 10 cm, 10 cm - 20 cm and 20 cm - 30 cm are all higher than background values of heavy metal contents of soil in Qinghai province. In soil layers of 10 cm - 20 cm and 20 cm - 30 cm, contents of lead in the cases of five land use types, that is, the observation field, the farming-pastoral ecotone, the enclosure-1, the enclosure-2 and the oat field have no obvious difference. In a soil layer of 0 em-10 cm, the content of lead in the oat field is obviously higher than that in the enclosure-2.
[47] FIG. 3 shows content changes of cadmium in depths at three levels of 0 cm - 10 cm, 10 cm - 20 cm and 20 cm - 30 cm in the cases of five different use modes. It can be seen from the figure that the contents of Cd in the observation field, the farming-pastoral ecotone, the enclosure-1, the enclosure-2 and the oat field do not exceed the background values of heavy metal contents of soil in Qinghai province. In soil layers of 0 cm-10 cm and 10 cm - 20 cm, heavy metal contents have no obvious difference, but in the soil layer of 20 cm - 30 cm, the contents of cadmium in the enclosure-1, the enclosure-2 and the oat field are obviously lower than those in the observation field and the farming-pastoral sample land.
[48] FIG. 4 shows content changes of Cr at three levels of 0 m - 10 cm, 10 cm - 20 cm and 20 cm - 30 cm in the cases of five different use modes, that is, an observation field, a farming-pastoral ecotone, less enclosure interferences (enclosure-1) and more enclosure interferences (enclosure-2). It can be seen from the figure that contents of Cr in other sample lands exceed the background values of heavy metal contents of soil in Qinghai province except for that in the soil layer of 0 cm - 10 cm in the observation field. In the soil layer of 0 cm-10 cm, contents of Cr in the enclosure-1 and the oat field are obviously higher than those in the observation field and the enclosure-2, and contents of Cr in the farming-pastoral ecotone and all the sample lands do not have difference. In the soil layer of 10 cm - 20 cm, contents of Cr in the farming-pastoral ecotone and the oat field are obviously lower than those in the observation field and the enclosure sample lands. In the soil layer of 20 cm - 30 cm, contents of Cr in the enclosure sample lands are obviously higher than those in the other lands.
[49] FIG. 5 shows content changes of As at three levels of 0 cm - 10 cm, 10 cm - 20 cm and 20 cm - 30 cm in the cases of five different use modes. It can be seen from the figure that the contents of As in the observation field, the farming-pastoral ecotone, the enclosure-1, the enclosure-2 and the oat field do not exceed the standard, but there are differences in accumulation amounts thereof. In soil layers of 10 cm - 20 cm and 20 cm - 30 cm, contents of As have no obvious difference. In the soil layer of 0 cm -10 cm, there is no obvious difference in general, but there is some local differences. The content of As in the oat field is obviously higher than those in the enclosure sample lands.
[50] FIG. 6 shows content changes of Hg at three levels of 0 cm - 10 cm, 10 cm - 20 cm and 20 cm - 30 cm in the cases of five different use modes. It can be seen from the figure that the contents of Hg in the observation field, the farming-pastoral ecotone, the enclosure-1, the enclosure-2 and the oat field do not exceed the background values of heavy metal contents of soil in Qinghai province. In the soil layer of 0 cm-10 cm, the content of Hg in the oat field is obviously lower than those in the other sample lands; and in soil layers of 10 cm - 20 cm and 20 cm - 30 cm, contents of Hg have no obvious difference.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104959379A (en) * | 2015-07-31 | 2015-10-07 | 黄晓东 | Soil remediation method and application thereof |
| CN108120823A (en) * | 2018-01-10 | 2018-06-05 | 伊犁师范学院 | A kind of heavy metal content in soil feature and its potential risk evaluation method and system |
| CN111652462A (en) * | 2020-04-17 | 2020-09-11 | 湘潭大学 | Method for evaluating heavy metal pollution and potential ecological risks of agricultural land |
| WO2021093769A1 (en) * | 2019-11-12 | 2021-05-20 | 华南农业大学 | Spatial distribution and source analysis method and device for heavy metals in cultivated soil |
| CN112986538A (en) * | 2021-05-06 | 2021-06-18 | 中南大学 | Large-area soil heavy metal detection and space-time distribution characteristic analysis method and system |
| CN113470765A (en) * | 2021-06-29 | 2021-10-01 | 广州市华南自然资源科学技术研究院 | Soil heavy metal source analysis method |
| CN113504352A (en) * | 2021-06-09 | 2021-10-15 | 水利部交通运输部国家能源局南京水利科学研究院 | Method for determining dredging depth and engineering quantity of ecological dredging engineering |
-
2022
- 2022-08-18 NL NL2032787A patent/NL2032787B1/en active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104959379A (en) * | 2015-07-31 | 2015-10-07 | 黄晓东 | Soil remediation method and application thereof |
| CN108120823A (en) * | 2018-01-10 | 2018-06-05 | 伊犁师范学院 | A kind of heavy metal content in soil feature and its potential risk evaluation method and system |
| WO2021093769A1 (en) * | 2019-11-12 | 2021-05-20 | 华南农业大学 | Spatial distribution and source analysis method and device for heavy metals in cultivated soil |
| CN111652462A (en) * | 2020-04-17 | 2020-09-11 | 湘潭大学 | Method for evaluating heavy metal pollution and potential ecological risks of agricultural land |
| CN112986538A (en) * | 2021-05-06 | 2021-06-18 | 中南大学 | Large-area soil heavy metal detection and space-time distribution characteristic analysis method and system |
| CN113504352A (en) * | 2021-06-09 | 2021-10-15 | 水利部交通运输部国家能源局南京水利科学研究院 | Method for determining dredging depth and engineering quantity of ecological dredging engineering |
| CN113470765A (en) * | 2021-06-29 | 2021-10-01 | 广州市华南自然资源科学技术研究院 | Soil heavy metal source analysis method |
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