CN109100490A - The quantitative forecasting technique of soil acidification - Google Patents
The quantitative forecasting technique of soil acidification Download PDFInfo
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- CN109100490A CN109100490A CN201811045526.6A CN201811045526A CN109100490A CN 109100490 A CN109100490 A CN 109100490A CN 201811045526 A CN201811045526 A CN 201811045526A CN 109100490 A CN109100490 A CN 109100490A
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- soil
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- 239000002689 soil Substances 0.000 title claims abstract description 67
- 230000020477 pH reduction Effects 0.000 title claims abstract description 17
- 238000000034 method Methods 0.000 title claims abstract description 14
- 150000001768 cations Chemical class 0.000 claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims abstract description 9
- 230000004907 flux Effects 0.000 claims abstract description 7
- 238000001556 precipitation Methods 0.000 claims abstract description 6
- 239000002253 acid Substances 0.000 claims description 13
- 230000008021 deposition Effects 0.000 claims description 6
- 230000009467 reduction Effects 0.000 claims description 5
- VEXZGXHMUGYJMC-UHFFFAOYSA-M Chloride anion Chemical compound [Cl-] VEXZGXHMUGYJMC-UHFFFAOYSA-M 0.000 claims description 3
- KRHYYFGTRYWZRS-UHFFFAOYSA-M Fluoride anion Chemical compound [F-] KRHYYFGTRYWZRS-UHFFFAOYSA-M 0.000 claims description 3
- NHNBFGGVMKEFGY-UHFFFAOYSA-N Nitrate Chemical compound [O-][N+]([O-])=O NHNBFGGVMKEFGY-UHFFFAOYSA-N 0.000 claims description 3
- 238000003916 acid precipitation Methods 0.000 claims description 3
- 230000004069 differentiation Effects 0.000 claims description 3
- 150000002500 ions Chemical class 0.000 claims description 3
- 229910052751 metal Inorganic materials 0.000 claims description 3
- 239000002184 metal Substances 0.000 claims description 3
- 238000007619 statistical method Methods 0.000 claims description 3
- -1 sulfate radicals Chemical class 0.000 claims 1
- 238000004458 analytical method Methods 0.000 abstract description 3
- 230000002378 acidificating effect Effects 0.000 description 3
- 229910052785 arsenic Inorganic materials 0.000 description 3
- 229910052793 cadmium Inorganic materials 0.000 description 3
- 229910052745 lead Inorganic materials 0.000 description 3
- 230000004913 activation Effects 0.000 description 2
- 239000000872 buffer Substances 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 229910052804 chromium Inorganic materials 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 229910052500 inorganic mineral Inorganic materials 0.000 description 2
- 239000011707 mineral Substances 0.000 description 2
- 229910052759 nickel Inorganic materials 0.000 description 2
- 238000004062 sedimentation Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- YUWBVKYVJWNVLE-UHFFFAOYSA-N [N].[P] Chemical compound [N].[P] YUWBVKYVJWNVLE-UHFFFAOYSA-N 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 150000007513 acids Chemical class 0.000 description 1
- WNROFYMDJYEPJX-UHFFFAOYSA-K aluminium hydroxide Chemical compound [OH-].[OH-].[OH-].[Al+3] WNROFYMDJYEPJX-UHFFFAOYSA-K 0.000 description 1
- 229910021502 aluminium hydroxide Inorganic materials 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 239000007864 aqueous solution Substances 0.000 description 1
- 231100000704 bioconcentration Toxicity 0.000 description 1
- 239000000084 colloidal system Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 229910001385 heavy metal Inorganic materials 0.000 description 1
- 230000007062 hydrolysis Effects 0.000 description 1
- 238000006460 hydrolysis reaction Methods 0.000 description 1
- 238000001727 in vivo Methods 0.000 description 1
- 229910052753 mercury Inorganic materials 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000007935 neutral effect Effects 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 239000005416 organic matter Substances 0.000 description 1
- 239000006174 pH buffer Substances 0.000 description 1
- 239000002344 surface layer Substances 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
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- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Food Science & Technology (AREA)
- Analytical Chemistry (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of quantitative forecasting techniques of soil acidification, the present invention is by investigating soil chemistry the deep soil pH and main base cation content data and precipitation monitoring data in each time, and network is monitored for the same point of the not same period time according to soil, obtain soil pH value distribution trend figure, and As-Is analysis is carried out according to the Land-Use that soil pH changes discrepant each region, using model flux and prediction of more phases time prediction technique, quantitative forecast is made to the trend being acidified in region, to achieve the purpose that prediction.
Description
Technical field
Present invention relates particularly to a kind of quantitative forecasting techniques of soil acidification.
Background technique
Soil pH is mostly important one of the physicochemical property of soil, is had to migration of elements activation, biological health important
Effect.Its substance of different soil types is constituted and the content of each substance is different, such as minerals, organic matter, colloid, is handed over
Transsexual cation etc. mainly influences in Different Soil so that different types of soil has the buffer capacity of varying degree
The factor of pH buffer capacity also can be variant, in different pH soil, mainly influences the factor such as base cation of its cushion performance
Exchange, minerals weathering, aluminium hydroxide hydrolysis etc. will differences.Therefore need to establish a kind of quantitative forecast of soil acidification
Method is imperative effectively to be analyzed soil acidification.
Summary of the invention
Above-mentioned background technique there are aiming at the problem that, the present invention is intended to provide a kind of quantitative forecasting technique of soil acidification.
For this purpose, the invention adopts the following technical scheme: the quantitative forecasting technique of soil acidification, it is characterized in that including following step
It is rapid:
Step 1: the changes of pH trend prediction based on the not same period time, monitoring network according to soil will not the same period time
Same point, obtain soil pH value distribution trend figure, and analyze the land use that soil pH changes discrepant each region
Mode；
Step 2: the changes of pH trend prediction based on model flux, influence of the acid deposition to changes of pH,
The acid rain sulfate radical of last decade, nitrate anion, chloride ion, fluorine ion and annual precipitation monitoring data are for statistical analysis, it will be native
K in earth+、Na+、Ca2+、Mg2+Equal base cations are with monovalent metal M+Form indicate, it is logical thus to calculate the sedimentation of acid ion year
Amount calculates the reduction amount of base cation in soil, M in soil+Variable quantity；
Step 3: predicting soil acidification by the Land-Use in each region of differentiation and the difference of acid deposition,
To complete the prediction to changing in soil acidification year.
The present invention can achieve following the utility model has the advantages that the present invention is by investigating soil chemistry the deep soil pH in each time
And mainly base cation content data and precipitation monitoring data, and same point according to soil monitoring network that the not same period is secondary
Position, obtains soil pH value distribution trend figure, and according to soil pH change the Land-Use in discrepant each region into
Row As-Is analysis makes quantitative forecast to the trend being acidified in region using model flux and prediction of more phases time prediction technique, from
And achieve the purpose that prediction.
Specific embodiment
The present invention the following steps are included:
Step 1: the changes of pH trend prediction based on the not same period time, monitoring network according to soil will not the same period time
Same point, obtain soil pH value distribution trend figure, and analyze the land use that soil pH changes discrepant each region
Mode；
Step 2: the changes of pH trend prediction based on model flux, influence of the acid deposition to changes of pH,
The acid rain sulfate radical of last decade, nitrate anion, chloride ion, fluorine ion and annual precipitation monitoring data are for statistical analysis, it will be native
K in earth+、Na+、Ca2+、Mg2+Equal base cations are with monovalent metal M+Form indicate, it is logical thus to calculate the sedimentation of acid ion year
Amount calculates the reduction amount of base cation in soil, M in soil+Variable quantity；
Step 3: predicting soil acidification by the Land-Use in each region of differentiation and the difference of acid deposition,
To complete the prediction to changing in soil acidification year.
Specific embodiment: Pearl River Delta Economic Zone is research object, to ten thousand pedogeochemistry tune of economic zone 1:25
Look into surface layer in 2005, deep soil pH and main base cation content data, 2001-2006 nitrogen phosphorus fertilizer behaviour in service, 2001-
Precipitation data in 2009, Delta of the Pearl River alluvial plain 2001, soil monitoring network pH data in 2007 carry out status point
Analysis makes quantitative forecast to the trend being acidified in region using model flux and prediction of more phases time prediction technique.
As the result is shown: the soil pH of land use pattern is variant, according to the size of pH value mode, from high to low according to
Secondary is field, cities and towns, nonirrigated farmland, river shoal, forest land, paddy field, independent factories and miness；The pH value of Different Soil is variant, wherein moisture soil
Highest, red soil are minimum, and red soil belongs to severely-weathered soil, and base cation content is low, and moisture soil content is higher, have stronger acids buffer capacity
Power.
Area 2005-2025 soil acidification variation tendency is studied as the reduction of subacidity soil, acid, strongly acidic soil increases
Add, until strongly acidic soil in 2025, acid soil, subacidity soil, neutral soil, basic soil proportion are followed successively by
3.87%, 69.57%, 17.36%, 8.06%, 1.14%.
The reduction of soil pH will easily lead to the activation of the heavy metals such as Pb, Cd, and then increase accumulation in vivo.It is dilute
After acid extracts the results show that soil influenced by acidic aqueous solution, in the hexa-atomic element of As, Pb, As, Cd, Cr, Ni, content amplification is extracted
Maximum is Pb, Cd, followed by As, Ni, Cr, and Hg variation is little.Correct the result of bio-concentration factor and full dose correlation
Show to be extremely significant negative correlation in addition to Cr.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (1)
1. the quantitative forecasting technique of soil acidification, it is characterised in that: the quantitative forecasting technique of the soil acidification includes following
Step:
Step 1: it is same by the not same period time to monitor network according to soil for the changes of pH trend prediction based on not same period time
Point obtains soil pH value distribution trend figure, and analyzes the Land-Use that soil pH changes discrepant each region；
Step 2: the changes of pH trend prediction based on model flux, influence of the acid deposition to changes of pH, nearly
10 years acid rain sulfate radicals, nitrate anion, chloride ion, fluorine ion and annual precipitation monitoring data are for statistical analysis, by K in soil+、Na+、Ca2+、Mg2+Equal base cations are with monovalent metal M+Form indicate, thus calculate acid ion year Flux, calculate
The reduction amount of base cation in soil, M in soil+Variable quantity；
Step 3: predicting soil acidification by the Land-Use in each region of differentiation and the difference of acid deposition, thus
Complete the prediction to changing in soil acidification year.
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| CN201811045526.6A CN109100490A (en) | 2018-09-07 | 2018-09-07 | The quantitative forecasting technique of soil acidification |
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| CN201811045526.6A CN109100490A (en) | 2018-09-07 | 2018-09-07 | The quantitative forecasting technique of soil acidification |
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| CN109100490A true CN109100490A (en) | 2018-12-28 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109725131A (en) * | 2019-02-19 | 2019-05-07 | 甘肃省农业科学院土壤肥料与节水农业研究所 | The joint measurement method of base cation content and cation exchange capacity (CEC) in charcoal or charcoal improvement soil |
| CN112734133A (en) * | 2021-01-25 | 2021-04-30 | 南宁师范大学 | Method for predicting soil pH based on hydrothermal conditions |
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| CN106680338A (en) * | 2016-12-27 | 2017-05-17 | 湖南省烟草公司湘西自治州公司 | Sampling calculating method of tobacco-planting soil acidification degree and acidized soil improvement method |
| CN206348333U (en) * | 2017-01-13 | 2017-07-21 | 金修宽 | A kind of Simple soil is acidified detector |
| CN107228931A (en) * | 2017-06-13 | 2017-10-03 | 中国农业科学院农业资源与农业区划研究所 | A kind of acquisition methods of the initial pH shortage of data of soil |
| CN107422075A (en) * | 2017-07-20 | 2017-12-01 | 中国科学院重庆绿色智能技术研究院 | The construction method of phosphorus nutrition model flux based on alga cells energetic supersession |
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2018
- 2018-09-07 CN CN201811045526.6A patent/CN109100490A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106680338A (en) * | 2016-12-27 | 2017-05-17 | 湖南省烟草公司湘西自治州公司 | Sampling calculating method of tobacco-planting soil acidification degree and acidized soil improvement method |
| CN206348333U (en) * | 2017-01-13 | 2017-07-21 | 金修宽 | A kind of Simple soil is acidified detector |
| CN107228931A (en) * | 2017-06-13 | 2017-10-03 | 中国农业科学院农业资源与农业区划研究所 | A kind of acquisition methods of the initial pH shortage of data of soil |
| CN107422075A (en) * | 2017-07-20 | 2017-12-01 | 中国科学院重庆绿色智能技术研究院 | The construction method of phosphorus nutrition model flux based on alga cells energetic supersession |
Non-Patent Citations (1)
| Title |
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| 何翔: ""珠江三角洲土壤酸化预测及土壤酸化对元素可利用性的影响分析"", 《中山大学硕士学位论文》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109725131A (en) * | 2019-02-19 | 2019-05-07 | 甘肃省农业科学院土壤肥料与节水农业研究所 | The joint measurement method of base cation content and cation exchange capacity (CEC) in charcoal or charcoal improvement soil |
| CN112734133A (en) * | 2021-01-25 | 2021-04-30 | 南宁师范大学 | Method for predicting soil pH based on hydrothermal conditions |
| CN112734133B (en) * | 2021-01-25 | 2024-02-13 | 南宁师范大学 | Method for predicting soil pH based on hydrothermal condition |
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Application publication date: 20181228 |
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