CN109813865B - Method and system for monitoring salinity of facility soil - Google Patents
Method and system for monitoring salinity of facility soil Download PDFInfo
- Publication number
- CN109813865B CN109813865B CN201811581953.6A CN201811581953A CN109813865B CN 109813865 B CN109813865 B CN 109813865B CN 201811581953 A CN201811581953 A CN 201811581953A CN 109813865 B CN109813865 B CN 109813865B
- Authority
- CN
- China
- Prior art keywords
- crop
- facility
- soil
- root
- 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.)
- Active
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
Abstract
The embodiment of the invention provides a method and a system for monitoring facility soil salinity, which are used for sensing facility crop canopy meteorological data based on facility crop root zone soil water content data and meteorological data and carrying out simulation estimation on the soil salinity of a facility crop root zone by a numerical method. The method provided by the invention is utilized to dynamically monitor the change of the salt content of the soil in the root zone of the facility crops in real time, and salt content regulation and control measures are taken in time, so that the facility crops are prevented from being influenced by salt damage, and technical support is provided for high-quality and high-efficiency output of the facility vegetable crops. The soil salinity change dynamic process of the root zone of the facility vegetables can be monitored in real time, and support is provided for formulating a scientific and reasonable salinity regulation and control strategy of the soil root layer of the facility crops and realizing sustainable development of production of the facility vegetables.
Description
Technical Field
The embodiment of the invention relates to the technical field of facility soil environment monitoring, in particular to a facility soil salinity monitoring method and system.
Background
The protected vegetable cultivation gets rid of the limitation of natural environment on vegetable production, and the environment suitable for vegetable crop growth is improved or created in a local range by adopting engineering technical means, so that higher yield, higher quality and higher economic benefit are obtained, and the method belongs to high-efficiency agriculture. Compared with the traditional field vegetable cultivation, the environment in the facility is relatively closed, the facility is in a high-temperature and high-humidity state for a long time, and the water demand of crops in the facility is larger. The water brought into the facility soil by irrigation is dissipated into the air under the action of crop evapotranspiration, and the salt contained in the irrigation water is accumulated in the area with vigorous root system activity on the surface layer of the soil; in addition, unreasonably large fertilizer application is also one of the reasons for secondary salinization of facility soil. If too much soil salt is accumulated in the facility, the soil osmotic potential is reduced, so that the water potential of crops is reduced, the root systems of the crops are inhibited from absorbing water from the soil, even the crops are dehydrated, physiological drought is formed, poor growth of the crops is caused, the disease resistance of the plants is reduced, and the yield and the quality of vegetables are seriously influenced. The nutrients required by crops generally enter the crop bodies along with the absorption of water, when the soil salinity is too high, the absorption of the nutrients is influenced when the crops absorb the water, and the fertilizer applied to the soil cannot be absorbed and utilized by the crops, so that the accumulation of the soil salinity can be further aggravated and the secondary salinization of facility soil is caused when the crop nutrients are deficient. Therefore, the salt content of the root zone of the facility crops is controlled within a proper range by establishing a regulation and control strategy, and the method is the basis for realizing high-quality and high-efficiency production of the facility vegetables. The method is a premise for formulating a scientific and reasonable soil salinity regulation and control strategy by acquiring the soil salinity change dynamic information of the facility crops through a low-cost and high-efficiency monitoring means.
The soil salinity content determination mainly comprises two modes of laboratory analysis determination and sensor in-situ determination. Laboratory analysis survey needs the soil sample of regularly gathering crop root system layer, adopts the residue method directly to determine soil salinity content or after the conductivity through the soil leaching liquor of survey different soil-water ratios after comparatively loaded down with trivial details sample pretreatment, then converts into soil salinity again, and is more time-consuming and energy-consuming, and can not combine together with internet of things, realizes real-time determination. Compared with a method for measuring soil salinity in a laboratory, the in-situ measurement of the sensor is convenient and fast, and in-situ monitoring is easy to realize, but most of measurement indexes of the soil conductivity sensor in the market are soil conductivity (Bulk soil electrical conductivity), and the measurement indexes are influenced by various factors such as soil water content, soil salinity and soil organic matters, and the change of the soil salinity cannot be reflected visually. Although a few soil salinity sensors based on graphite electrodes or capacitance technology can realize real-time monitoring of soil salinity in theory, the sensors are high in price, are mostly used for scientific research experiments, and do not have conditions applied to production of facility vegetables.
Therefore, the research and development of the low-cost and high-efficiency real-time monitoring method and the matched system for the soil salinity of the crop root system layer are one of the keys for formulating a scientific and reasonable regulation strategy for the soil salinity of the facility and realizing the high-efficiency production of the facility vegetables.
Disclosure of Invention
Embodiments of the present invention provide a method and system for monitoring salinity of facility soil, which overcome or at least partially solve the above problems.
In a first aspect, an embodiment of the present invention provides a facility soil salinity monitoring method, including:
obtaining the actual crop root system water absorption rate based on the root system water rate change of different depths of the facility crop root zone; obtaining the water absorption rate of the potential root system of the crop based on the facility crop canopy meteorological information;
and acquiring a salinity stress correction factor based on the actual crop root system water absorption rate and the potential root system water absorption rate of the crop, and obtaining the salinity concentration SC distribution of the soil solution based on the salinity stress correction factor.
As preferred, the change of the root system water rate based on different depths of the root zone of the facility crop obtains the actual crop root system water absorption rate, and specifically includes:
burying a soil moisture sensor in a root zone of the facility crops, and continuously monitoring the distribution information of the water content of the soil at different depths of the root zone of the facility crops at different moments; acquiring a convergent source item in a soil moisture migration equation based on a reverse iterative solution method to obtain root system water rates of different depths of a facility crop root zone;
and obtaining the actual crop root water absorption rate based on the change of the root water rates of different depths of the root zone of the facility crop.
Preferably, the soil moisture transport equation is as follows:
wherein C (h) is specific water capacity; k (h) is the degree of hydraulic conductivity at non-saturation; h, soil water potential; s (z, t) is the actual water absorption rate of the crop root system, z is a spatial position coordinate, and t is a time coordinate.
Preferably, the method for obtaining the water absorption rate of the potential root system of the crop based on the facility crop canopy meteorological information specifically comprises the following steps:
canopy temperature T, humidity RH, radiation R based on facility cropssAnd a gentle wind speed WsObtaining potential water consumption rate T of cropspAnd obtaining the water absorption rate S of the potential root system of the crop based on the potential water consumption rate of the cropp(z)：
In the formula, LrThe root depth of the root system is consistent with the depth of the actual water absorption rate of the root system of the crop; z is a radical ofrRelative root depth, zr＝z/Lr；Lnrd(zr) Is a relative root length density distribution.
Preferably, the obtaining of the salt stress correction factor based on the actual crop root water absorption rate and the potential crop root water absorption rate specifically includes:
based on the water absorption rate S of potential root systems of cropsp(z) obtaining a salinity stress correction factor by the water stress correction factor:
wherein, alpha (h) is a water stress correction factor;
is salt stress correction factor; s (z) is the actual water absorption rate of the root system of the crop; h is1、h2、h3And h4Respectively are critical values of the facility crops corresponding to the soil water potential under the water stress state.
Preferably, after obtaining the salt stress correction factor based on the actual crop root water absorption rate and the potential crop root water absorption rate, the method further comprises:
obtaining the average osmotic potential distribution of the root zone of the facility crops:
in the formula, p,
In order to obtain the optimized parameters based on the prior experiment,
is the soil osmotic potential.
Preferably, the salt concentration SC of the soil solution is:
in a second aspect, an embodiment of the present invention provides a facility soil salinity monitoring system, including:
the crop root zone soil moisture measuring module is used for obtaining the actual crop root system water absorption rate through iterative back calculation based on the soil moisture content change of different depths of the facility crop root zone;
the crop canopy meteorological information acquisition module is used for obtaining the water absorption rate of the potential root system of the crop based on the facility crop canopy meteorological information;
and the crop root zone soil salinity estimation module is used for acquiring a salinity stress correction factor based on the actual crop root system water absorption rate and the potential root system water absorption rate of the crop, and obtaining the soil solution salinity concentration SC distribution based on the salinity stress correction factor.
Preferably, the soil moisture measuring module in the crop root zone comprises a plurality of soil moisture sensors and a crop root system water absorption analysis unit;
the soil moisture sensors are embedded in the root areas of the facility crops at equal intervals and used for continuously monitoring the soil moisture content distribution information of different depths of the root areas of the facility crops at different moments;
the crop root system water absorption analysis unit is used for obtaining a convergent source item in a soil water migration equation based on a reverse iteration solving method to obtain actual crop root system water absorption rates of different depths of a facility crop root zone.
Preferably, the crop canopy meteorological information acquisition module comprises an air temperature sensor, a humidity sensor, a radiation sensor and a breeze sensor.
The embodiment of the invention provides a method and a system for monitoring the salinity of facility soil, which are used for sensing the meteorological data of the canopy of the facility crop based on the water content data and the meteorological data of the root area of the facility crop and performing simulation estimation on the soil salinity of the root area of the facility crop by a numerical simulation method. The method provided by the embodiment is utilized to dynamically monitor the change of the soil salinity of the root zone of the facility crops in real time, and a soil salinity regulation and control strategy is adopted in time, so that the facility crops are prevented from being affected by salt damage, and technical support is provided for high-quality and high-efficiency output of the facility vegetable crops. The soil salinity change dynamic process of the root zone of the facility vegetables can be monitored in real time, and support is provided for formulating a scientific and reasonable salinity regulation and control strategy of the soil root layer of the facility crops and realizing sustainable development of production of the facility vegetables.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a method for monitoring salinity of facility soil according to an embodiment of the present invention;
FIG. 2 is a schematic illustration of the soil moisture content distribution of the tomato root zone of the facility on days 1 and 10 according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of actual crop root water uptake rates at different depths in a root zone of a plant within 10 days according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an estimated soil salinity level according to an embodiment of the present invention;
fig. 5 is a schematic view of a soil salinity monitoring system for facilities according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
Due to the influence of various factors such as soil water content, soil salinity, soil organic matter and the like, the soil conductivity sensor based on the TDR and FDR technology cannot reflect the change of the soil salinity directly. Although a few soil salinity sensors based on graphite electrodes or capacitance technology can realize real-time monitoring of soil salinity in theory, the existing related sensors are high in price, multipurpose for scientific research experiments and do not have conditions applied to production of facility vegetables. Therefore, each embodiment of the invention senses the facility crop canopy meteorological data based on the water content data and the meteorological data of the facility crop root zone, and carries out simulation estimation on the soil salinity of the facility crop root zone by a numerical simulation method. The following description and description will proceed with reference being made to various embodiments.
Fig. 1 is a method for monitoring salinity of facility soil according to an embodiment of the present invention, including:
s1, obtaining the actual crop root system water absorption rate through reverse iteration based on the soil water content change of different depths of the facility crop root zone; obtaining the water absorption rate of the potential root system of the crop based on the facility crop canopy meteorological information;
s2, obtaining a salinity stress correction factor based on the actual crop root system water absorption rate and the potential root system water absorption rate of the crop, and obtaining the salinity concentration SC distribution of the soil solution based on the salinity stress correction factor.
In the embodiment, the actual root system water absorption rate distribution of the facility crops is estimated according to the collected soil water content distribution of the root area of the facility crops in the beginning and end periods based on the water content data and meteorological data of the root area of the facility crops for sensing the meteorological data of the canopy of the facility crops; estimating and setting the potential root system water absorption rate distribution of the crops according to facility crop canopy meteorological information; estimating the osmotic potential distribution of the root zone of the facility crops according to the influence mechanism of salinity stress on the water absorption process of the root system of the facility crops, and converting the osmotic potential distribution of the root zone of the facility crops into the concentration distribution of the soil salinity according to the conversion relation between the soil osmotic potential and the soil salinity; the soil salinity of the root zone of the facility crops is simulated and estimated by a numerical simulation method, compared with the traditional soil salinity measuring method, the real-time monitoring of the soil salinity of the root zone of the facility crops is realized, and the human resource cost and the capital cost of matrix salinity measuring instruments and equipment and consumables are saved. The method provided by the embodiment of the invention is utilized to dynamically monitor the change of the salt content of the soil in the root zone of the facility crops in real time, and a salt content regulation strategy is adopted in time, so that the facility crops are prevented from being influenced by salt damage, and technical support is provided for high-quality and high-efficiency output of the facility vegetable crops. The soil salinity change dynamic process of the root zone of the facility vegetables can be monitored in real time, and support is provided for formulating a scientific and reasonable salinity regulation and control strategy of the soil root layer of the facility crops and realizing sustainable development of production of the facility vegetables.
On the basis of the above embodiment, the change of the water rate of the root system based on different depths of the root zone of the facility crop obtains the water absorption rate of the root system of the actual crop, which specifically includes:
burying a soil moisture sensor in a root zone of the facility crops, and continuously monitoring the distribution information of the water content of the soil at different depths of the root zone of the facility crops at different moments; and acquiring a convergent source item in the soil water migration equation based on a reverse iterative solution method to obtain the actual root water rates of different depths of the root zone of the facility crop.
On the basis of the embodiment, soil moisture sensors are pre-buried according to a set distance H in the root zone range of the facility crops. The soil moisture content information of different depths (H, 2H, 3H, … nH) of the facility crop root zone at the beginning and end moments is collected according to a certain time interval based on the soil moisture sensor. The initial time is denoted as t1At the moment, the soil moisture content collected by the soil moisture sensor in the facility soil root zone is recorded as w (H)1、w(2H)1、w(3H)1、…w(nH)1(ii) a The end time is denoted as t2At the moment, the water content of the substrate collected by the moisture sensor in the root zone of the facility soil is recorded as w (H)2、w(2H)2、w(3H)2、…w(3H)2. According to the starting and ending time t1And t2The distribution of the water content of the soil in the root area of the facility crops is estimated by adopting a reverse solution iteration method to estimate a source-sink item S in a soil water migration equation, namely from t1To t2Actual crop root water absorption rate distribution S of different depths of root zone of construction crop in time period1The following formula (1) shows.
In this example, tomatoes are planted at intervals of, for example, 10cmBurying soil moisture sensors in the middle of the cultivation line within 0-60cm, and collecting soil moisture content information of different depths (10, 20, 30 and … 50cm) of the root zone of the facility crops at the beginning and end moments according to a monitoring interval of 10 days; according to the collecting method in the embodiment, the soil water content distribution of the facility tomato root zone on the 1 st day and the 10 th day is shown in fig. 2, the water absorption rate distribution of the actual crop root systems at different depths of the facility tomato root zone in the 10 th day is obtained and is shown in fig. 3, and the unit of the water absorption rate is cm3cm-3d-1。
On the basis of the above embodiments, the soil moisture transport equation is specifically:
wherein h is soil water potential C (h) is specific water capacity; k (h) is the degree of hydraulic conductivity at non-saturation; s (z, t) is the actual water absorption rate of the crop root system, z is a spatial position coordinate, and t is a time coordinate.
On the basis of the above embodiments, the method for obtaining the water absorption rate of the potential root system of the crop based on the facility crop canopy meteorological information specifically includes:
canopy temperature T, humidity RH, radiation R based on facility cropssAnd a gentle wind speed WsObtaining potential water consumption rate T of cropspAnd obtaining the water absorption rate S of the potential root system of the crop based on the potential water consumption rate of the cropp(z)：
In the formula (2), LrThe root depth of the root system is consistent with the depth of the actual water absorption rate of the root system of the crop; z is a radical ofrRelative root depth, zr＝z/Lr；Lnrd(Zr) Is a relative root length density distribution.
In the embodiment, the crop canopy temperature T, the humidity RH and the radiation R are collected according to the facility crop canopy meteorological informationsAnd a gentle wind speed WsThe daily average value of (A), the potential water consumption rate T of the crop in 10 days can be estimatedpThereby obtaining the water absorption rate S of the potential root system of the facility cropp(z) as shown in formula (2). In the formula (2), Lnrd(Zr) For the relative root length density distribution, the influence of the crop root system distribution on the crop moisture absorption is expressed by adopting the following formula (3):
in the above formula (3), a, b, c, and d are empirical coefficients, which are obtained through review of literature or preliminary experiments, and for the tomato of this embodiment, a is 0.35, b is 1.01, c is 2.12,
on the basis of the above embodiments, obtaining a salt stress correction factor based on the actual crop root water absorption rate and the potential crop root water absorption rate specifically includes:
based on the water absorption rate S of potential root systems of cropsp(z) obtaining a salinity stress correction factor by the water stress correction factor.
In this embodiment, when the salinity accumulation appears in facility crop root zone soil, the osmotic potential of soil can reduce, and the root system water absorption function of facility crop receives the influence of the dual inhibitory action of water stress and salinity stress, and its influence process can be carved through following formula (4) ration:
in the formula (4), alpha (h) is a water stress correction factor, and represents the influence of water stress on the water absorption of the root system of the facility crop;
the salt stress correction factor represents the influence of salt stress on the water absorption of the root system of the facility crop;Sp(z) is the actual crop root water uptake rate.
On the basis of the above-described embodiments, the water stress correction factor can be calculated by the following formula (5):
in the formula, h1、h2、h3And h4Respectively, the critical value of the water stress state of the facility crops. For the facility tomatoes in the embodiment, the values of the parameters are as follows: h is1＝-10cm，h2＝-25cm，h3＝-800cm，h4＝-8000cm。
On the basis of the above embodiments, the actual crop root water absorption rate S (z)/the potential root water absorption rate S of the crop are obtainedp(z) and the water stress correction factor alpha (h), the salt stress correction factor IV can be obtained according to the formula (4)
As shown in the following formula (6):
in this embodiment, salt stress correction factor is used as an alternative
It can also be calculated by the following formula (7):
in the above-mentioned formula (7),
the soil osmotic potential energy represents the influence of soil salinity accumulation on the water absorption of the root system of the facility crops; p, p,
For the parameters to be optimized, the values of p is 0.055 and p is determined by consulting literature or pre-experiment,
Osmotic potential of soil
It can be calculated using the following formula (8):
in the above formula (8), SC (z) is the salinity of the soil solution.
On the basis of the above embodiments, after obtaining the salt stress correction factor based on the actual crop root water absorption rate and the potential crop root water absorption rate, the method further includes:
obtaining the average osmotic potential distribution of the root zone of the facility crops:
in the formula, p,
In order to obtain the optimized parameters based on the prior experiment,
and the soil osmotic potential energy is obtained.
On the basis of the above embodiments, the salt concentration SC of the soil solution is:
in this embodiment, the combination formula (8) and the combination formula (9) can obtain the distribution of the salt concentration SC of the soil solution, as shown in fig. 4, in order to verify the reliability of the estimation result, the simulation estimation value and the actual measurement value of the soil salt content in the root zone of the facility tomato within 10 days in this embodiment are compared, and the result shows that the average concentration distribution of the soil salt content in the root zone of the facility tomato is accurately estimated by using the method provided by the present invention, and after the comparison and analysis with the actual measurement soil salt concentration, the relative error of the soil salt content measured by using the system of the present invention is 12.3%, and the dynamic change of the salt content in the root zone of the facility soil can be basically measured.
In the present embodiment, t is determined1To t2After the salinity concentration of the soil of the root system of the facility crop at any moment, the t is measured2The soil water content of the crop root zone at the moment is taken as the initial moment water content, and the next moment t3And the soil water content measured by the crop root zone water content measuring module is used as the soil water content of the facility crop root zone at the end, and the steps are repeated until the growth period of the tomatoes is finished.
The embodiment also provides a facility soil salinity monitoring system, based on the facility soil salinity monitoring methods in the embodiments, as shown in fig. 5, including:
the crop root zone soil moisture measuring module 30 is used for obtaining the actual crop root system water absorption rate based on the root system water rate change of different depths of the facility crop root zone;
the crop canopy meteorological information acquisition module 40 is used for obtaining the water absorption rate of the potential root system of the crop based on the facility crop canopy meteorological information;
and the crop root zone soil salinity estimation module 50 is used for acquiring a salinity stress correction factor based on the actual crop root system water absorption rate and the potential root system water absorption rate of the crop, and obtaining the soil solution salinity concentration SC distribution based on the salinity stress correction factor.
On the basis of the above embodiments, the soil moisture measuring module in the crop root zone includes a plurality of soil moisture sensors and a crop root system water absorption analysis unit;
the soil moisture sensors are embedded in the root areas of the facility crops at equal intervals and used for continuously monitoring the soil moisture content distribution information of different depths of the root areas of the facility crops at different moments;
the crop root system water absorption analysis unit is used for obtaining a convergent source item in a soil water migration equation based on a reverse iteration solving method to obtain actual crop root system water absorption rates of different depths of a facility crop root zone.
In the present embodiment, the soil moisture sensors include 5, which are buried at intervals of 10cm in the root zone 10, 20, 30, 40, 50 and 60cm of the facility crop, and are used for the information of the soil moisture content in the root zone of the facility crop.
On the basis of the above embodiments, the crop canopy meteorological information acquisition module includes an air temperature sensor, a humidity sensor, a radiation sensor, and a breeze sensor. The sensors are arranged 0.5m above the facility crop canopy and used for collecting the meteorological information of the facility crop canopy.
In summary, according to the method and system for monitoring facility soil salinity provided by the embodiments of the present invention, the meteorological data of the canopy of the facility crop is sensed based on the water content data and the meteorological data of the root zone of the facility crop, and the soil salinity of the root zone of the facility crop is estimated by a numerical simulation method. The method provided by the invention is utilized to dynamically monitor the change of the salt content of the soil in the root zone of the facility crops in real time, and a salt content regulation and control strategy is adopted in time, so that the facility crops are prevented from being influenced by salt damage, and technical support is provided for high-quality and high-efficiency output of the facility vegetable crops. The soil salinity change dynamic process of the root zone of the facility vegetables can be monitored in real time, and support is provided for formulating a scientific and reasonable salinity regulation and control strategy of the soil root layer of the facility crops and realizing sustainable development of production of the facility vegetables.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (4)
1. A method for monitoring salinity of facility soil is characterized by comprising the following steps:
obtaining the actual crop root water absorption rate based on the soil water content changes of different depths of the facility crop root zone; obtaining the water absorption rate of the potential root system of the crop based on the facility crop canopy meteorological information;
acquiring a salinity stress correction factor based on the actual crop root water absorption rate and the potential crop root water absorption rate, and obtaining the salinity concentration SC distribution of the soil solution based on the salinity stress correction factor; wherein:
soil water content based on different depths of facility crop root zone changes and obtains actual crop root system rate of absorbing water, specifically includes:
burying a soil moisture sensor in a root zone of the facility crops, and continuously monitoring the distribution information of the water content of the soil at different depths of the root zone of the facility crops at different moments; acquiring a convergent source item in a soil moisture migration equation based on a reverse iterative solution method to obtain actual crop root water absorption rates of different depths of the facility crop root zone;
the method for obtaining the water absorption rate of the potential root system of the crop based on the facility crop canopy meteorological information specifically comprises the following steps:
canopy temperature T, humidity RH, radiation R based on facility cropssAnd a gentle wind speed WsObtaining potential water consumption rate T of cropspAnd obtaining the water absorption rate S of the potential root system of the crop based on the potential water consumption rate of the cropp(z)：
In the formula, LrThe root depth of the root system is consistent with the depth of the actual water absorption rate of the root system of the crop; z is a radical ofrRelative root depth, zr＝z/Lr；Lnrd(zr) Is a relative root length density distribution;
based on actual crop root system rate of absorbing water the latent root system rate of absorbing water of crop acquires salinity and threatens correction factor, specifically includes:
based on the water absorption rate S of potential root systems of cropsp(z) obtaining a salt stress correction factor with the water stress correction factor:
wherein, alpha (h) is a water stress correction factor;
is salt stress correction factor; s (z) is the actual water absorption rate of the root system of the crop; h is1、h2、h3And h4Respectively are critical values of the facility crops corresponding to the soil water potential under the water stress state;
based on actual crop root system rate of absorbing water the latent root system rate of absorbing water of crop obtains behind the salinity coerce correction factor, still includes:
obtaining the average osmotic potential distribution of the root zone of the facility crops:
in the formula, p,
In order to obtain the optimized parameters based on the prior experiment,
the soil osmotic potential energy is adopted, and beta (z) is a salt stress correction factor at the root system of the actual crop;
the salinity concentration SC of the soil solution is as follows:
2. the facility soil salinity monitoring method according to claim 1, wherein the soil moisture transport equation is specifically:
wherein C (h) is specific water capacity; k (h) is the degree of hydraulic conductivity at non-saturation; h, soil water potential; s (z, t) is the actual water absorption rate of the crop root system, z is a spatial position coordinate, and t is a time coordinate.
3. A facility soil salinity monitoring system, comprising:
the crop root zone soil moisture measuring module is used for obtaining the actual crop root system water absorption rate based on the soil moisture content changes of different depths of the facility crop root zone;
the crop canopy meteorological information acquisition module is used for obtaining the water absorption rate of the potential root system of the crop based on the facility crop canopy meteorological information;
the crop root area soil salinity estimation module is used for acquiring a salinity stress correction factor based on the actual crop root system water absorption rate and the potential crop root system water absorption rate and obtaining the salinity concentration SC distribution of the soil solution based on the salinity stress correction factor;
the method for obtaining the water absorption rate of the potential root system of the crop based on the facility crop canopy meteorological information specifically comprises the following steps:
canopy temperature T, humidity RH, radiation R based on facility cropssAnd a gentle wind speed WsObtaining potential water consumption rate T of cropspAnd obtaining the water absorption rate S of the potential root system of the crop based on the potential water consumption rate of the cropp(z)：
In the formula, LrThe root depth of the root system is consistent with the depth of the actual water absorption rate of the root system of the crop; z is a radical ofrRelative root depth, zr＝z/Lr；Lnrd(zr) Is a relative root length density distribution;
based on actual crop root system rate of absorbing water the latent root system rate of absorbing water of crop acquires salinity and threatens correction factor, specifically includes:
based on the water absorption rate S of potential root systems of cropsp(z) obtaining a salt stress correction factor with the water stress correction factor:
wherein, alpha (h) is a water stress correction factor;
is salt stress correction factor; s (z) is the actual water absorption rate of the root system of the crop; h is1、h2、h3And h4Respectively are critical values of the facility crops corresponding to the soil water potential under the water stress state;
based on actual crop root system rate of absorbing water the latent root system rate of absorbing water of crop obtains behind the salinity coerce correction factor, still includes:
obtaining the average osmotic potential distribution of the root zone of the facility crops:
in the formula, p,
In order to obtain the optimized parameters based on the prior experiment,
the soil osmotic potential energy is adopted, and beta (z) is a salt stress correction factor at the root system of the actual crop;
the salinity concentration SC of the soil solution is as follows:
the crop root zone soil moisture measuring module comprises a plurality of soil moisture sensors and a crop root system water absorption analysis unit;
the soil moisture sensors are embedded in the root areas of the facility crops at equal intervals and used for continuously monitoring the soil moisture content distribution information of different depths of the root areas of the facility crops at different moments;
the crop root system water absorption analysis unit is used for obtaining a convergent source item in a soil water migration equation based on a reverse iteration solving method to obtain actual crop root system water absorption rates of different depths of a facility crop root zone.
4. The facility soil salinity monitoring system of claim 3, wherein, the crop canopy meteorological information acquisition module comprises an air temperature sensor, a humidity sensor, a radiation sensor and a breeze sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811581953.6A CN109813865B (en) | 2018-12-24 | 2018-12-24 | Method and system for monitoring salinity of facility soil |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811581953.6A CN109813865B (en) | 2018-12-24 | 2018-12-24 | Method and system for monitoring salinity of facility soil |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109813865A CN109813865A (en) | 2019-05-28 |
| CN109813865B true CN109813865B (en) | 2021-09-28 |
Family
ID=66602299
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811581953.6A Active CN109813865B (en) | 2018-12-24 | 2018-12-24 | Method and system for monitoring salinity of facility soil |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109813865B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110208139B (en) * | 2019-06-26 | 2021-11-05 | 北京农业智能装备技术研究中心 | Substrate moisture holding characteristic curve measuring device and using method thereof |
| CN112881602A (en) * | 2021-01-14 | 2021-06-01 | 北京农业智能装备技术研究中心 | Method and device for measuring distribution of active roots of crops |
| CN114651708B (en) * | 2022-03-07 | 2023-04-07 | 广东省科学院广州地理研究所 | Crop irrigation method, device and equipment based on salinity leaching rate and storage medium |
| CN115602033B (en) * | 2022-11-01 | 2023-11-28 | 浙江大学 | Water-absorbable root system model capable of regulating and controlling soil mass suction in wide range |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4646000A (en) * | 1984-11-08 | 1987-02-24 | The Yellow Springs Instrument Company | Method and apparatus for measuring soil salinity |
| JP2013167567A (en) * | 2012-02-16 | 2013-08-29 | Taiheiyo Material Kk | Method for measuring soil salinity concentration |
| CN106290796A (en) * | 2016-09-13 | 2017-01-04 | 中国水利水电科学研究院 | A kind of soil salt Spatial Variability characterizing method based on multi-fractal |
| CN108680509A (en) * | 2018-08-17 | 2018-10-19 | 山东农业大学 | A kind of strand salt marsh area soil salt content evaluation method |
-
2018
- 2018-12-24 CN CN201811581953.6A patent/CN109813865B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4646000A (en) * | 1984-11-08 | 1987-02-24 | The Yellow Springs Instrument Company | Method and apparatus for measuring soil salinity |
| JP2013167567A (en) * | 2012-02-16 | 2013-08-29 | Taiheiyo Material Kk | Method for measuring soil salinity concentration |
| CN106290796A (en) * | 2016-09-13 | 2017-01-04 | 中国水利水电科学研究院 | A kind of soil salt Spatial Variability characterizing method based on multi-fractal |
| CN108680509A (en) * | 2018-08-17 | 2018-10-19 | 山东农业大学 | A kind of strand salt marsh area soil salt content evaluation method |
Non-Patent Citations (5)
| Title |
|---|
| Macroscopic approaches to root water uptake as a function of water and salinity stress;Todd H.Skaggs等;《agriculture water management》;20060718;第86卷;第140-149页 * |
| Modeling of Soil Water and Salt Dynamics and Its Effects on Root Water Uptake in Heihe Arid Wetland, Gansu, China;Huijie Li等;《Water》;20150521(第7期);第2382-2401页 * |
| 冬小麦生长条件下改进遗传算法在根系水盐运移模型中的应用研究;罗长寿等;《农业工程学报》;20051130;第21卷(第11期);第38-42页 * |
| 水盐胁迫条件下作物根系吸水模型研究进展及展望;高晓瑜等;《中国农村水利水电》;20130131(第１期);第45-49页 * |
| 盐分胁迫条件下冬小麦根系吸水模型的构建与验证;王利春等;《农业工程学报》;20110131;第27卷(第1期);第112-117页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109813865A (en) | 2019-05-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109813865B (en) | Method and system for monitoring salinity of facility soil | |
| Béziat et al. | Carbon balance of a three crop succession over two cropland sites in South West France | |
| Zhao et al. | Comparison of dual crop coefficient method and Shuttleworth–Wallace model in evapotranspiration partitioning in a vineyard of northwest China | |
| Qiu et al. | Assessing the SIMDualKc model for estimating evapotranspiration of hot pepper grown in a solar greenhouse in Northwest China | |
| Marrou et al. | How does a shelter of solar panels influence water flows in a soil–crop system? | |
| Wang et al. | Infrared canopy temperature of early-ripening peach trees under postharvest deficit irrigation | |
| Irmak et al. | Hourly and daily single and basal evapotranspiration crop coefficients as a function of growing degree days, days after emergence, leaf area index, fractional green canopy cover, and plant phenology for soybean | |
| Vera et al. | Irrigation factor approach based on soil water content: A nectarine orchard case study | |
| Anapalli et al. | Quantifying water and CO2 fluxes and water use efficiencies across irrigated C3 and C4 crops in a humid climate | |
| Anapalli et al. | Modeling evapotranspiration for irrigation water management in a humid climate | |
| Wang et al. | Differences in ecosystem water-use efficiency among the typical croplands | |
| Shapland et al. | Estimation of actual evapotranspiration in winegrape vineyards located on hillside terrain using surface renewal analysis | |
| Tsakmakis et al. | Operational precise irrigation for cotton cultivation through the coupling of meteorological and crop growth models | |
| Chen et al. | Variations in tomato yield and quality in relation to soil properties and evapotranspiration under greenhouse condition | |
| Scheer et al. | Non-linear response of soil N2O emissions to nitrogen fertiliser in a cotton–fallow rotation in sub-tropical Australia | |
| Thompson et al. | Reducing nitrate leaching losses from vegetable production in Mediterranean greenhouses | |
| Fong et al. | Eddy covariance measurements of carbon dioxide and water fluxes in US mid-south cotton production | |
| Qin et al. | Insentek sensor: An alternative to estimate daily crop evapotranspiration for maize plants | |
| Rahman et al. | Use of proximal sensors to evaluate at the sub-paddock scale a pasture growth-rate model based on light-use efficiency | |
| Amiri et al. | Calibration and evaluation of CERES rice model under different nitrogen-and water-management options in semi-mediterranean climate condition | |
| Mashabatu et al. | Deriving crop coefficients for evergreen and deciduous fruit orchards in South Africa using the fraction of vegetation cover and tree height data | |
| Yang et al. | Tomato evapotranspiration, crop coefficient and irrigation water use efficiency in the winter period in a sunken chinese solar greenhouse | |
| Sun et al. | Estimating topsoil SOC sequestration in croplands of eastern China from 1980 to 2000 | |
| Şimşek et al. | The effects of different drip irrigation regimes on watermelon [Citrullus lanatus (Thunb.)] yield and yield components under semi-arid climatic conditions | |
| CN117474704A (en) | Estimation method for day-night growth difference and yield of corn |
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 |