A batch catalytic controllable rain enhancement method and system for weather modification operation

Abstract

This invention discloses a batch-based catalytic controllable rain enhancement method and system for weather modification operations, relating to the field of artificial rain enhancement technology. The method includes the following steps: determining the cloud ice crystal concentration that can be replenished by preliminary rain enhancement based on a preliminary rain enhancement plan, and generating the total amount of preliminary rain enhancement catalytic capacity; generating batch-based rain enhancement catalytic amounts to be launched into the target area clouds based on the total amount of preliminary rain enhancement catalytic capacity, and acquiring cloud echo data from the target area to extract catalytic echo features to determine the catalytic effect, and compensating for the catalytic amount based on the catalytic effect; achieving rapid determination of whether the clouds in the operational area possess the basic conditions for rain enhancement based on the cloud rain enhancement potential, matching the rain enhancement conditions according to the cloud rain enhancement potential and the rainfall demand of the operational area, obtaining a preliminary rain enhancement plan to determine the total amount of preliminary rain enhancement catalytic capacity, and launching the rain enhancement catalytic amount into the target area clouds in batches, thereby improving catalytic efficiency and ensuring rain enhancement effect.

Description

Technical Field

[0001] This invention relates to the field of artificial rain enhancement technology, and in particular to a batch-based catalytic controllable rain enhancement method and system for weather modification operations. Background Technology

[0002] Currently, the accuracy of artificial rain enhancement operations needs improvement. Especially in complex and changeable weather conditions, the lack of precise cloud segmentation to determine the distribution of supercooled water content, and the failure to allocate catalyst doses in batches based on this distribution, makes it difficult for operators to accurately assess cloud conditions and control the amount of rain enhancement catalyst. This can lead to either insufficient catalyst doses resulting in unsatisfactory effects and failure to achieve the expected rain enhancement, or excessive catalyst doses leading to rainfall far exceeding local demand, resulting in an imbalance between the amount of rain enhancement and the rainfall requirements of the operational area, leading to inefficient resource utilization. Furthermore, the current lack of cloud echo characteristic analysis to adjust the launch compensation catalyst dose in real time after the rain enhancement effect results in inconsistent and unreliable rain enhancement outcomes. Summary of the Invention

[0003] To overcome the shortcomings of existing technologies, this invention provides a batch-based controlled rain enhancement method and system for weather modification operations. This method enables rapid determination of whether the clouds in the operational area possess the basic conditions for rain enhancement based on their rain enhancement potential. Rain enhancement conditions are matched according to the cloud's rain enhancement potential and the rainfall demand of the operational area to obtain a preliminary rain enhancement plan. This plan determines the total amount of rain enhancement catalysts that can be supplemented by the initial rain enhancement, and then the rain enhancement catalysts and compensation catalysts are launched in batches to the target area's clouds, improving catalytic efficiency and ensuring the rain enhancement effect.

[0004] To achieve the above-mentioned objectives, the present invention adopts the following technical solution:

[0005] The first aspect of this application provides a method for batch-based controlled rainfall enhancement in weather modification operations, comprising the following steps:

[0006] S101. Perform cloud feature extraction processing on radar cloud echo and satellite cloud temperature data to determine the cloud rain enhancement potential.

[0007] S102. Match the cloud layer's rain enhancement potential with the rainfall demand in the operational area to generate a preliminary rain enhancement plan;

[0008] S103. Based on the preliminary rain enhancement plan, determine the amount of cloud ice crystals that can be replenished by the preliminary rain enhancement, and generate the total amount of rain enhancement catalysts that can be replenished by the preliminary rain enhancement.

[0009] S104. Based on the initial rain enhancement, the total amount of rain enhancement catalyst can be supplemented to generate a batch of rain enhancement catalyst to be emitted to the cloud layer in the target area, and cloud echo data in the target area can be obtained.

[0010] S105. Extract catalytic echo features from cloud echo data in the target area to determine the catalytic effect, and compensate for the catalytic amount based on the catalytic effect.

[0011] Furthermore, cloud feature extraction processing is performed on radar cloud echoes and satellite cloud temperature data to determine the cloud's rain enhancement potential, including the following steps:

[0012] Feature extraction processing was performed on radar cloud echo and satellite cloud temperature data to obtain cloud echo intensity features, cloud echo morphology features, cloud echo movement features, and satellite cloud temperature features.

[0013] Cloud types are determined based on cloud echo morphology characteristics. Cloud types include stratiform clouds, cumulus clouds, and mixed cumulus-stratus clouds.

[0014] Based on cloud type, cloud echo intensity characteristics, and satellite cloud temperature characteristics, the supercooled water content and cloud ice crystal concentration were determined.

[0015] Based on the characteristics of cloud echo movement, the direction and speed of cloud movement are determined;

[0016] Based on cloud type, cloud supercooled water content, cloud ice crystal concentration, cloud movement direction and speed, the cloud rain enhancement potential of the operational area is determined.

[0017] Furthermore, based on cloud type, cloud supercooled water content, cloud ice crystal concentration, cloud movement direction and speed, determining the cloud rain enhancement potential of the operational area includes the following steps:

[0018] Determine the cloud rain enhancement coefficient based on different cloud types;

[0019] Based on the direction and speed of cloud movement and the shape of the rain enhancement area, the regional rain enhancement correction coefficient is determined;

[0020] Based on the cloud precipitation enhancement coefficient, regional precipitation enhancement correction coefficient, cloud supercooled water content, and cloud ice crystal concentration, the cloud precipitation enhancement potential is determined, and its expression is as follows:

[0021]

[0022] in, This is the cloud-induced rainfall coefficient. This is a regional rainfall enhancement correction factor. This refers to the supercooled water content of clouds. The concentration of ice crystals in the clouds. Potential for cloud-based rain enhancement.

[0023] Furthermore, the cloud's rain enhancement potential is matched with the rainfall demand in the operational area to generate a preliminary rain enhancement plan, including the following steps:

[0024] Based on precipitation anomalies, the degree of drought in agricultural land, and the current reservoir water storage, the rainfall requirements for the operational area are determined;

[0025] Based on the cloud's rain enhancement potential and the rainfall demand of the operational area, rain enhancement conditions are matched to determine whether the conditions for rain enhancement are met.

[0026] Based on the matching results of rain enhancement conditions, the corresponding cloud features are retrieved, and a preliminary rain enhancement plan is generated.

[0027] Furthermore, based on the preliminary rain enhancement plan, determining the cloud ice crystal concentration that preliminary rain enhancement can replenish, and generating the total amount of rain enhancement catalysts that can replenish preliminary rain enhancement, includes the following steps:

[0028] Based on the cloud supercooled water content and cloud ice crystal concentration in the preliminary rain enhancement plan, it was determined that the preliminary rain enhancement could replenish the cloud ice crystal concentration.

[0029] The horizontal diameter and vertical thickness of the cloud layer are obtained based on the cloud echo morphology characteristics in order to determine the volume of the supercooled region of the cloud layer.

[0030] Based on the volume of the supercooled cloud zone and the amount of cloud ice crystals that can be replenished by initial rain enhancement, the total amount of rain enhancement catalysts that can be replenished by initial rain enhancement is determined.

[0031] Furthermore, based on the initial rainfall enhancement, the total amount of rainfall enhancement catalyst can be replenished to generate a batch of rainfall enhancement catalyst to be emitted into the cloud layer, and cloud echo data is obtained to determine the cloud layer catalyst effect, including the following steps:

[0032] Based on cloud type, cloud echo intensity characteristics, and cloud echo morphology characteristics, the distribution of supercooled water content in the cloud is obtained, and the cloud region is divided to obtain the distribution of supercooled water content in each region of the cloud.

[0033] Based on the preliminary rain enhancement can replenish the total amount of rain enhancement catalyst and the distribution of supercooled water content in different regions of the cloud, the batch allocation of rain enhancement catalyst is determined.

[0034] The first batch of rain enhancement catalysts was launched into the cloud layer of the target area, and cloud echo data of the target area was obtained.

[0035] Furthermore, catalytic echo feature extraction is performed on the cloud echo data of the target area to determine the catalytic effect, and catalytic amount compensation is performed based on the catalytic effect, including the following steps:

[0036] Catalytic echo feature extraction was performed on cloud echo data in the target area to obtain the catalytic cloud echo intensity features and cloud echo movement features.

[0037] The ice crystal concentration of the cloud after catalysis is determined based on the echo intensity characteristics of the cloud after catalysis and the cloud type of the target area, and the difference between the ice crystal concentration and the expected value of the cloud ice crystal concentration is processed.

[0038] The compensation catalytic amount is generated based on the differential treatment results of ice crystal concentration.

[0039] By adjusting the emission angle and direction based on the cloud echo movement characteristics, the compensation catalytic amount is accurately emitted into the cloud layer of the target area.

[0040] The second aspect of this application provides a batch-catalyzed controlled rainfall enhancement system for weather modification operations, comprising:

[0041] The first data processing unit is used to extract cloud features from radar cloud echo and satellite cloud temperature data in order to determine the cloud rain enhancement potential.

[0042] The second data processing unit is used to match the cloud rain enhancement potential with the rainfall demand in the operation area to rain enhancement conditions and generate a preliminary rain enhancement plan.

[0043] The third data processing unit is used to determine the concentration of cloud ice crystals that can be replenished by the initial rain enhancement scheme, and to generate the total amount of rain enhancement catalysts that can be replenished by the initial rain enhancement.

[0044] The fourth data processing unit is used to generate batches of rain enhancement catalysts to be emitted to the cloud layer in the target area based on the total amount of rain enhancement catalysts that can be replenished from the initial rain enhancement, and to acquire cloud echo data in the target area.

[0045] The fifth data processing unit is used to extract catalytic echo features from cloud echo data in the target area to determine the catalytic effect, and to compensate for the amount of catalytic effect.

[0046] Furthermore, the first data processing unit performs cloud feature extraction processing on radar cloud echo and satellite cloud temperature data to determine the cloud's rain enhancement potential, including:

[0047] Feature extraction processing was performed on radar cloud echo and satellite cloud temperature data to obtain cloud echo intensity features, cloud echo morphology features, cloud echo movement features, and satellite cloud temperature features.

[0048] Cloud types are determined based on cloud echo morphology characteristics. Cloud types include stratiform clouds, cumulus clouds, and mixed cumulus-stratus clouds.

[0049] Based on cloud type, cloud echo intensity characteristics, and satellite cloud temperature characteristics, the supercooled water content and cloud ice crystal concentration were determined.

[0050] Based on the characteristics of cloud echo movement, the direction and speed of cloud movement are determined;

[0051] Based on cloud type, cloud supercooled water content, cloud ice crystal concentration, cloud movement direction and speed, the cloud rain enhancement potential of the operational area is determined.

[0052] Furthermore, the first data processing unit determines the cloud rainfall potential of the operational area based on cloud type, cloud supercooled water content, cloud ice crystal concentration, cloud movement direction, and movement speed, including:

[0053] Determine the cloud rain enhancement coefficient based on different cloud types;

[0054] Based on the direction and speed of cloud movement and the shape of the rain enhancement area, the regional rain enhancement correction coefficient is determined;

[0055] The cloud rain enhancement potential is determined based on the cloud rain enhancement coefficient, regional rain enhancement correction coefficient, cloud supercooled water content, and cloud ice crystal concentration.

[0056] Furthermore, the fourth data processing unit generates batches of rain enhancement catalysts to be emitted to the clouds based on the initial rain enhancement replenishment total amount, and acquires cloud echo data to determine the cloud catalytic effect, including the following steps:

[0057] Based on cloud type, cloud echo intensity characteristics, and cloud echo morphology characteristics, the distribution of supercooled water content in the cloud is obtained, and the cloud region is divided to obtain the distribution of supercooled water content in each region of the cloud.

[0058] Based on the preliminary rain enhancement can replenish the total amount of rain enhancement catalyst and the distribution of supercooled water content in different regions of the cloud, the batch allocation of rain enhancement catalyst is determined.

[0059] The first batch of rain enhancement catalysts was launched into the cloud layer of the target area, and cloud echo data of the target area was obtained.

[0060] Furthermore, the fifth data processing unit extracts catalytic echo features from the cloud echo data in the target area to determine the catalytic effect, and performs catalytic amount compensation based on the catalytic effect, including the following steps:

[0061] Catalytic echo feature extraction was performed on cloud echo data in the target area to obtain the catalytic cloud echo intensity features and cloud echo movement features.

[0062] The ice crystal concentration of the cloud after catalysis is determined based on the echo intensity characteristics of the cloud after catalysis and the cloud type of the target area, and the difference between the ice crystal concentration and the expected value of the cloud ice crystal concentration is processed.

[0063] The compensation catalytic amount is generated based on the differential treatment results of ice crystal concentration.

[0064] By adjusting the emission angle and direction based on the cloud echo movement characteristics, the compensation catalytic amount is accurately emitted into the cloud layer of the target area.

[0065] The beneficial effects of this application are: it enables the rapid determination of whether the cloud layer in the operation area has the basic conditions for rain enhancement based on the cloud layer's rain enhancement potential; it matches the rain enhancement conditions with the rainfall demand of the operation area based on the cloud layer's rain enhancement potential to obtain a preliminary rain enhancement plan; it determines the total amount of rain enhancement catalyst that can be supplemented by the preliminary rain enhancement; and it launches rain enhancement catalyst and compensation catalyst in batches to the cloud layer in the target area to improve catalyst efficiency and ensure rain enhancement effect.

[0066] By matching the cloud's rain enhancement potential with the rainfall demand of the operational area, a suitable rain enhancement plan can be formulated, avoiding the excessive release of rain enhancement catalysts during the rain enhancement process, which could lead to an excessive amount of rain enhancement that does not meet the rainfall demand of the operational area and result in the unreasonable use of resources.

[0067] By optimizing the batch transfer of the initial rain enhancement catalyst to the clouds within the working area based on the total amount of rain enhancement catalyst that can be supplemented by the initial rain enhancement, the concentration of cloud ice crystals in the clouds can be steadily increased and the controllability of the rain enhancement effect can be improved, thus avoiding the problem of unstable rain enhancement effect caused by too much or too little rain enhancement catalyst.

[0068] By dividing the cloud layer into several regions and launching the corresponding batches of rain-enhancing catalysts into the target cloud areas in batches, precise catalysis and improved catalysis efficiency can be achieved, avoiding catalysis overlap or omission in cloud areas.

[0069] When launching the compensated catalytic amount, the launch angle and direction are adjusted by combining the cloud movement speed and direction to accurately launch the compensated catalytic amount into the target cloud area, thus avoiding the impact on catalytic efficiency caused by not accurately launching the compensated catalytic amount into the target area. Attached Figure Description

[0070] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0071] Figure 1 This is a schematic diagram of the steps of a batch-catalyzed controllable rain enhancement method for artificial weather modification operations according to the present invention. Detailed Implementation

[0072] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0073] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the absence of conflict, the following embodiments and features in the embodiments can be combined with each other. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0074] Example 1

[0075] A method for batch-based controlled rainfall enhancement in weather modification operations includes the following steps:

[0076] S101. Perform cloud feature extraction processing on radar cloud echo and satellite cloud temperature data to determine the cloud rain enhancement potential.

[0077] Based on time-series data acquisition, radar cloud echo and satellite cloud temperature data of the operational area were obtained. Radar cloud echo data includes cloud echo intensity, cloud echo morphology, and cloud echo movement. Cloud feature extraction processing was performed on the radar cloud echo and satellite cloud temperature data to obtain cloud echo intensity characteristics, cloud echo morphology characteristics, cloud echo movement characteristics, cloud height characteristics, and satellite cloud temperature characteristics. Cloud type was determined through cloud echo morphology characteristics, including stratiform clouds, cumulus clouds, and mixed stratocumulus clouds. Cloud supercooled water content and cloud ice crystal concentration were determined through cloud type, cloud echo intensity characteristics, and satellite cloud temperature characteristics. Cloud movement direction and speed were determined through cloud echo movement characteristics. By extracting cloud features from radar cloud echoes and satellite cloud temperature data, the cloud rain enhancement potential of the operational area can be preliminarily determined. Based on the cloud rain enhancement potential and rainfall demand of the operational area, a corresponding rain enhancement plan can be scientifically formulated to maximize the utilization of resources and avoid the unreasonable use of resources caused by excessive or insufficient rain enhancement.

[0078] The steps involved in extracting cloud features from radar cloud echoes and satellite cloud temperature data to determine cloud rain enhancement potential include:

[0079] Feature extraction processing was performed on radar cloud echo and satellite cloud temperature data to obtain cloud echo intensity features, cloud echo morphology features, cloud echo movement features, and satellite cloud temperature features.

[0080] Cloud types are determined based on cloud echo morphology characteristics. Cloud types include stratiform clouds, cumulus clouds, and mixed cumulus-stratus clouds.

[0081] Based on cloud type, cloud echo intensity characteristics, and satellite cloud temperature characteristics, the supercooled water content and cloud ice crystal concentration were determined.

[0082] Based on the characteristics of cloud echo movement, the direction and speed of cloud movement are determined;

[0083] Based on cloud type, cloud supercooled water content, cloud ice crystal concentration, cloud movement direction and speed, the cloud rain enhancement potential of the operational area is determined.

[0084] For example, cloud layers with a temperature range of -10 to -20°C can be selected from satellite cloud layers. Based on the cloud type and echo intensity characteristics of the clouds in this temperature range, the supercooled water content of the clouds can be determined, and its expression is as follows: ,in, This refers to the supercooled water content of clouds. , Empirical coefficients for different cloud types (e.g., stratiform cloud type), =0.015, 0.8, stratocumulus mixed cloud type, =0.02, 0.75), Let represent the cloud echo intensity. Based on the cloud echo intensity characteristics, a cloud ice crystal concentration correction process is applied to this cloud type to obtain the cloud ice crystal concentration correction result, expressed as: in, The concentration of ice crystals in the clouds. The basic concentration of ice crystals in clouds of different cloud types, The intensity of cloud echoes. By applying cloud ice crystal concentration correction processing to the cloud echo intensity thresholds for different cloud types, the accuracy of cloud ice crystal concentration in the operational area can be further improved.

[0085] Determining the cloud rain enhancement potential of the operational area based on cloud type, cloud supercooled water content, cloud ice crystal concentration, cloud movement direction and speed includes the following steps:

[0086] Determine the cloud rain enhancement coefficient based on different cloud types;

[0087] Based on the direction and speed of cloud movement and the shape of the rain enhancement area, the regional rain enhancement correction coefficient is determined;

[0088] Based on the cloud precipitation enhancement coefficient, regional precipitation enhancement correction coefficient, cloud supercooled water content, and cloud ice crystal concentration, the cloud precipitation enhancement potential is determined, and its expression is as follows:

[0089]

[0090] in, This is the cloud-induced rainfall coefficient. This is a regional rainfall enhancement correction factor. This refers to the supercooled water content of clouds. The concentration of ice crystals in the clouds. Potential for cloud-based rain enhancement.

[0091] For example, the cloud enhancement coefficient can be determined based on different cloud types. The cloud enhancement coefficient for stratiform clouds can be set to 0.6-0.8, for cumulus clouds to 0.2-0.4, and for mixed stratocumulus clouds to 0.4-0.6. It should be noted that the cloud enhancement coefficient can be specifically set according to actual usage. All methods involving determining the cloud enhancement coefficient based on different cloud types fall within the protection scope of this invention. By determining the cloud movement direction and the shape of the enhancement area, a length of 20km is determined to be the length of the enhancement center region. This length can be divided by the cloud movement speed of 50km / h to obtain a regional enhancement correction coefficient of 0.4. The magnitude of this regional enhancement correction coefficient reflects the timeliness of the regional enhancement. By using cloud rain enhancement coefficient, regional rain enhancement correction coefficient, cloud supercooled water content, and cloud ice crystal concentration, the cloud rain enhancement potential can be determined. Four levels of rain enhancement potential—high, medium, low, and none—can be set to determine the degree of cloud rain enhancement potential. Based on the degree of cloud rain enhancement potential in the operational area and the rainfall demand of the operational area, corresponding rain enhancement plans can be scientifically formulated to maximize the utilization of resources and avoid the unreasonable use of resources caused by excessive or insufficient rain enhancement.

[0092] S102. Match the cloud layer's rain enhancement potential with the rainfall demand in the operational area to generate a preliminary rain enhancement plan;

[0093] A preliminary rain enhancement plan is generated based on cloud rain enhancement potential and rainfall demand in the operational area. Cloud rain enhancement potential is categorized into high, medium, low, and none. Rainfall demand in the operational area can be determined based on actual conditions such as agricultural water demand, reservoir storage levels, and precipitation anomalies. Rainfall demand in the operational area is categorized into high, medium, low, and none.

[0094] By matching cloud rain enhancement potential with the rainfall demand of the operational area, a rain enhancement condition matching result is obtained (e.g., if the cloud rain enhancement potential is high and the rainfall demand of the operational area is medium, the matching result is medium rainfall demand of the operational area + high cloud rain enhancement potential, rain enhancement conditions are met; if the cloud rain enhancement potential is low and the rainfall demand of the operational area is medium, the matching result is medium rainfall demand of the operational area + low cloud rain enhancement potential, rain enhancement conditions are not met). Matching cloud rain enhancement potential with the rainfall demand of the operational area avoids excessive emission of rain enhancement catalysts during the rain enhancement process, which could lead to excessive rainfall and a mismatch between the rainfall increase and the operational area's rainfall demand, resulting in inefficient resource utilization. Based on the rain enhancement condition matching result, corresponding cloud characteristics are retrieved, and a preliminary rain enhancement plan is generated. Cloud characteristics include cloud echo intensity characteristics, cloud echo morphology characteristics, cloud echo movement characteristics, cloud height characteristics, satellite cloud temperature characteristics, cloud supercooled water content, and cloud ice crystal concentration. The preliminary rain enhancement plan includes the results of rain enhancement condition matching and the corresponding cloud characteristics.

[0095] Matching cloud rain enhancement potential with rainfall demand in the operational area to generate a preliminary rain enhancement plan includes the following steps:

[0096] Based on precipitation anomalies, the degree of drought in agricultural land, and the current reservoir water storage, the rainfall requirements for the operational area are determined;

[0097] Based on the cloud's rain enhancement potential and the rainfall demand of the operational area, rain enhancement conditions are matched to determine whether the conditions for rain enhancement are met.

[0098] Based on the matching results of rain enhancement conditions, the corresponding cloud features are retrieved, and a preliminary rain enhancement plan is generated.

[0099] For example, the difference between the actual monthly precipitation and the historical average precipitation for the same period can be calculated, and then the result can be divided with the historical average precipitation for the same period to obtain the precipitation anomaly. Similarly, the current reservoir water level can be divided with the historical average reservoir water level for the same period (approximately the last 5 years) to obtain the current reservoir water level. Finally, the degree of agricultural land drought can be determined by dividing the current soil volumetric moisture content with the historical soil volumetric moisture content for the same period.

[0100] S103. Based on the preliminary rain enhancement plan, determine the amount of cloud ice crystals that can be replenished by the preliminary rain enhancement, and generate the total amount of rain enhancement catalysts that can be replenished by the preliminary rain enhancement.

[0101] Based on the matching results of rainfall enhancement conditions and the corresponding cloud characteristics, the initial rainfall enhancement replenishment cloud ice crystal concentration is set. For example, the initial rainfall enhancement replenishment cloud ice crystal concentration can be determined by the cloud supercooled water content and cloud ice crystal concentration in the initial rainfall enhancement plan, so as to accurately quantify the rainfall enhancement index. Combined with the volume of the cloud supercooled area, the total amount of initial rainfall enhancement replenishment catalyst is obtained. Thus, based on the total amount of initial rainfall enhancement replenishment catalyst, the total amount of initial rainfall enhancement replenishment catalyst can be optimized and transferred to the clouds in the working area in batches. This stabilizes and increases the cloud ice crystal concentration and improves the controllability of the rainfall enhancement effect, avoiding the problem of unstable rainfall enhancement effect caused by too much or too little rainfall enhancement catalyst.

[0102] The steps involved in determining the amount of cloud ice crystals that can be replenished by the initial rain enhancement plan and generating the total amount of rain enhancement catalysts that can be replenished by the initial rain enhancement are as follows:

[0103] Based on the cloud supercooled water content and cloud ice crystal concentration in the preliminary rain enhancement plan, it was determined that the preliminary rain enhancement could replenish the cloud ice crystal concentration.

[0104] The horizontal diameter and vertical thickness of the cloud layer are obtained based on the cloud echo morphology characteristics in order to determine the volume of the supercooled region of the cloud layer.

[0105] Based on the volume of the supercooled cloud zone and the amount of cloud ice crystals that can be replenished by initial rain enhancement, the total amount of rain enhancement catalysts that can be replenished by initial rain enhancement is determined.

[0106] For example, the conversion coefficient between supercooled cloud water content and target ice crystal concentration can be determined based on the temperature of the supercooled cloud layer in the preliminary rain enhancement plan. The target cloud ice crystal concentration is obtained by multiplying the current supercooled cloud water content by the conversion coefficient. The difference between the target and current cloud ice crystal concentrations is then used to determine the cloud ice crystal concentration that can be replenished by the preliminary rain enhancement. The horizontal diameter and vertical thickness of the cloud layer can be obtained from the cloud echo morphology characteristics. Based on these dimensions, the volume of the supercooled cloud region can be determined, expressed as: ,in, The volume of the supercooled region of the cloud. The vertical thickness of the cloud layer. The horizontal diameter of the cloud layer is given. The volume of the supercooled cloud zone and the concentration of ice crystals in the cloud layer that can be replenished for initial rain enhancement can be multiplied to obtain the total amount of rain enhancement catalyst.

[0107] S104. Based on the initial rain enhancement, the total amount of rain enhancement catalyst can be supplemented to generate a batch of rain enhancement catalyst to be emitted to the cloud layer in the target area, and cloud echo data in the target area can be obtained.

[0108] By analyzing cloud echo intensity and morphology, the distribution of supercooled water content in clouds is obtained. The cloud layer is divided into several regions, and the distribution of supercooled water content in each region is then determined. Preliminary rain enhancement efforts supplement the total amount of rain enhancement catalysts and the distribution of supercooled water content in each cloud region, thus determining the batch allocation of rain enhancement catalysts. By dividing the cloud layer into several regions and launching the corresponding batches of rain enhancement catalysts to the target cloud areas in batches, precise catalysis is achieved, catalysis efficiency is improved, and overlapping or missed catalysts in cloud regions are avoided.

[0109] Based on the initial rain enhancement, the total amount of rain enhancement catalyst can be supplemented to generate a batch of rain enhancement catalyst to be emitted to the cloud layer, and cloud echo data can be obtained to determine the cloud layer catalyst effect. The steps include:

[0110] Based on cloud type, cloud echo intensity characteristics, and cloud echo morphology characteristics, the distribution of supercooled water content in the cloud is obtained, and the cloud region is divided to obtain the distribution of supercooled water content in each region of the cloud.

[0111] Based on the preliminary rain enhancement can replenish the total amount of rain enhancement catalyst and the distribution of supercooled water content in different regions of the cloud, the batch allocation of rain enhancement catalyst is determined.

[0112] The first batch of rain enhancement catalysts was launched into the cloud layer of the target area, and cloud echo data of the target area was obtained.

[0113] For example, the distribution of supercooled water content in clouds can be obtained based on cloud type, cloud echo intensity characteristics, and cloud echo morphology characteristics. The cloud layer can be divided into several regions, namely, the first region cloud layer, the second region cloud layer, and the third region cloud layer. The interval time for batch rain enhancement can be determined by combining the cloud movement speed. Rain enhancement operations can be carried out on the first region cloud layer, the second region cloud layer, and the third region cloud layer respectively, avoiding catalysis overlap or catalysis omission in cloud areas. By dividing the cloud layer into several regions and launching the corresponding batch of rain enhancement catalysts to the target region cloud layer in batches, precise catalysis and improved catalysis efficiency can be achieved. After the first batch of rain enhancement catalysts is launched to the target region cloud layer for catalysis, the cloud echo data of the target region is obtained.

[0114] S105. Extract catalytic echo features from cloud echo data in the target area to determine the catalytic effect, and compensate for the amount of catalytic effect accordingly.

[0115] Catalytic echo feature extraction is performed on cloud echo data in the target area to obtain the catalytic echo intensity and movement characteristics. Based on the catalytic echo intensity characteristics and cloud type in the target area, the catalytic ice crystal concentration in the target area is determined. The catalytic effect is determined by whether the catalytic ice crystal concentration in the target area reaches the expected value. Real-time adjustments are made based on the catalytic effect to determine whether to increase the catalytic amount to the target area cloud. If the catalytic ice crystal concentration does not reach the expected value, an additional compensating catalytic amount is emitted to the target area cloud; if the catalytic ice crystal concentration reaches the expected value, no additional compensating catalytic amount is needed. When emitting the compensating catalytic amount, the cloud movement speed and direction (obtained from the cloud echo movement characteristics) can be considered to adjust the emission angle and direction, ensuring precise emission of the compensating catalytic amount to the target area cloud, thus avoiding the impact of inaccurate emission on catalytic efficiency. Once the catalytic results of the cloud layer in the target area meet the expected value of cloud ice crystal concentration, the next batch of catalytic rain enhancement operations can be carried out, thereby achieving precise catalysis and ensuring the rain enhancement effect.

[0116] The process of extracting catalytic echo features from cloud echo data in the target area to determine the catalytic effect, and then compensating for the catalytic amount based on the catalytic effect, includes the following steps:

[0117] Catalytic echo feature extraction was performed on cloud echo data in the target area to obtain the catalytic cloud echo intensity features and cloud echo movement features.

[0118] The ice crystal concentration of the cloud after catalysis is determined based on the echo intensity characteristics of the cloud after catalysis and the cloud type of the target area, and the difference between the ice crystal concentration and the expected value of the cloud ice crystal concentration is processed.

[0119] The compensation catalytic amount is generated based on the differential treatment results of ice crystal concentration.

[0120] By adjusting the emission angle and direction based on the cloud echo movement characteristics, the compensation catalytic amount is accurately emitted into the cloud layer of the target area.

[0121] Example 2

[0122] The above is a batch-catalyzed controlled rainfall enhancement method for weather modification operations provided in the embodiments of this application. The following is a batch-catalyzed controlled rainfall enhancement system for weather modification operations provided in the embodiments of this application.

[0123] A batch-catalyzed controlled rainfall enhancement system for weather modification operations includes:

[0124] The first data processing unit is used to extract cloud features from radar cloud echo and satellite cloud temperature data in order to determine the cloud rain enhancement potential.

[0125] The second data processing unit is used to match the cloud rain enhancement potential with the rainfall demand in the operation area to rain enhancement conditions and generate a preliminary rain enhancement plan.

[0126] The third data processing unit is used to determine the concentration of cloud ice crystals that can be replenished by the initial rain enhancement scheme, and to generate the total amount of rain enhancement catalysts that can be replenished by the initial rain enhancement.

[0127] The fourth data processing unit is used to generate batches of rain enhancement catalysts to be emitted to the cloud layer in the target area based on the total amount of rain enhancement catalysts that can be replenished from the initial rain enhancement, and to acquire cloud echo data in the target area.

[0128] The fifth data processing unit is used to extract catalytic echo features from cloud echo data in the target area to determine the catalytic effect, and to compensate for the amount of catalytic effect.

[0129] The first data processing unit is used to extract cloud features from radar cloud echoes and satellite cloud temperature data to determine the cloud's rain enhancement potential, including:

[0130] Feature extraction processing was performed on radar cloud echo and satellite cloud temperature data to obtain cloud echo intensity features, cloud echo morphology features, cloud echo movement features, and satellite cloud temperature features.

[0131] Cloud types are determined based on cloud echo morphology characteristics. Cloud types include stratiform clouds, cumulus clouds, and mixed cumulus-stratus clouds.

[0132] Based on cloud type, cloud echo intensity characteristics, and satellite cloud temperature characteristics, the supercooled water content and cloud ice crystal concentration were determined.

[0133] Based on the characteristics of cloud echo movement, the direction and speed of cloud movement are determined;

[0134] Based on cloud type, cloud supercooled water content, cloud ice crystal concentration, cloud movement direction and speed, the cloud rain enhancement potential of the operational area is determined.

[0135] The first data processing unit is used to determine the cloud rainfall potential of the operational area based on cloud type, cloud supercooled water content, cloud ice crystal concentration, cloud movement direction, and movement speed, including:

[0136] Determine the cloud rain enhancement coefficient based on different cloud types;

[0137] Based on the direction and speed of cloud movement and the shape of the rain enhancement area, the regional rain enhancement correction coefficient is determined;

[0138] The cloud rain enhancement potential is determined based on the cloud rain enhancement coefficient, regional rain enhancement correction coefficient, cloud supercooled water content, and cloud ice crystal concentration.

[0139] The second data processing unit is used to match cloud rain enhancement potential with rainfall demand in the operational area to generate a preliminary rain enhancement plan, including the following steps:

[0140] Based on precipitation anomalies, the degree of drought in agricultural land, and the current reservoir water storage, the rainfall requirements for the operational area are determined;

[0141] Based on the cloud's rain enhancement potential and the rainfall demand of the operational area, rain enhancement conditions are matched to determine whether the conditions for rain enhancement are met.

[0142] Based on the matching results of rain enhancement conditions, the corresponding cloud features are retrieved, and a preliminary rain enhancement plan is generated.

[0143] The third data processing unit, used to determine the cloud ice crystal concentration that can be replenished by preliminary rain enhancement based on the preliminary rain enhancement plan, and to generate the total amount of rain enhancement catalyst that can be replenished by preliminary rain enhancement, includes the following steps:

[0144] Based on the cloud supercooled water content and cloud ice crystal concentration in the preliminary rain enhancement plan, it was determined that the preliminary rain enhancement could replenish the cloud ice crystal concentration.

[0145] The horizontal diameter and vertical thickness of the cloud layer are obtained based on the cloud echo morphology characteristics in order to determine the volume of the supercooled region of the cloud layer.

[0146] Based on the volume of the supercooled cloud zone and the amount of cloud ice crystals that can be replenished by initial rain enhancement, the total amount of rain enhancement catalysts that can be replenished by initial rain enhancement is determined.

[0147] The fourth data processing unit, used to generate batches of rain enhancement catalysts to be emitted to the clouds based on the total amount of rain enhancement catalysts that can be replenished from the initial rain enhancement, and to acquire cloud echo data to determine the cloud catalytic effect, includes the following steps:

[0148] Based on cloud type, cloud echo intensity characteristics, and cloud echo morphology characteristics, the distribution of supercooled water content in the cloud is obtained, and the cloud region is divided to obtain the distribution of supercooled water content in each region of the cloud.

[0149] Based on the preliminary rain enhancement can replenish the total amount of rain enhancement catalyst and the distribution of supercooled water content in different regions of the cloud, the batch allocation of rain enhancement catalyst is determined.

[0150] The first batch of rain enhancement catalysts was launched into the cloud layer of the target area, and cloud echo data of the target area was obtained.

[0151] The fifth data processing unit is used to extract catalytic echo features from cloud echo data in the target area to determine the catalytic effect, and to perform catalytic quantity compensation based on the catalytic effect, including the following steps:

[0152] Catalytic echo feature extraction was performed on cloud echo data in the target area to obtain the catalytic cloud echo intensity features and cloud echo movement features.

[0153] The ice crystal concentration of the cloud after catalysis is determined based on the echo intensity characteristics of the cloud after catalysis and the cloud type of the target area, and the difference between the ice crystal concentration and the expected value of the cloud ice crystal concentration is processed.

[0154] The compensation catalytic amount is generated based on the differential treatment results of ice crystal concentration.

[0155] By adjusting the emission angle and direction based on the cloud echo movement characteristics, the compensation catalytic amount is accurately emitted into the cloud layer of the target area.

[0156] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0157] The terms "first," "second," and "third," etc., used in this application's specification and the foregoing drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0158] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for batch-based controlled rainfall enhancement in weather modification operations, characterized in that, Includes the following steps: S101. Perform cloud feature extraction processing on radar cloud echo and satellite cloud temperature data to determine the cloud rain enhancement potential. S102. Match the cloud layer's rain enhancement potential with the rainfall demand in the operational area to generate a preliminary rain enhancement plan; S103. Based on the preliminary rain enhancement plan, determine the amount of cloud ice crystals that can be replenished by the preliminary rain enhancement, and generate the total amount of rain enhancement catalysts that can be replenished by the preliminary rain enhancement. S104. Based on the initial rain enhancement, the total amount of rain enhancement catalyst can be supplemented to generate a batch of rain enhancement catalyst to be emitted to the cloud layer in the target area, and cloud echo data in the target area can be obtained. S105. Extract catalytic echo features from cloud echo data in the target area to determine the catalytic effect, and compensate for the amount of catalytic effect accordingly. Step S101 includes the following steps: Feature extraction processing was performed on radar cloud echo and satellite cloud temperature data to obtain cloud echo intensity features, cloud echo morphology features, cloud echo movement features, and satellite cloud temperature features. Cloud types are determined based on cloud echo morphology characteristics. Cloud types include stratiform clouds, cumulus clouds, and mixed cumulus-stratus clouds. Based on cloud type, cloud echo intensity characteristics, and satellite cloud temperature characteristics, the supercooled water content and cloud ice crystal concentration were determined. Based on the characteristics of cloud echo movement, the direction and speed of cloud movement are determined; Based on cloud type, cloud supercooled water content, cloud ice crystal concentration, cloud movement direction and speed, the cloud rain enhancement potential of the operational area is determined.

2. The method for batch-based controlled rainfall enhancement in artificial weather modification operations according to claim 1, characterized in that, The process of determining the cloud rain enhancement potential of the operational area based on cloud type, cloud supercooled water content, cloud ice crystal concentration, cloud movement direction, and movement speed includes the following steps: Determine the cloud rain enhancement coefficient based on different cloud types; Based on the direction and speed of cloud movement and the shape of the rain enhancement area, the regional rain enhancement correction coefficient is determined; Based on the cloud precipitation enhancement coefficient, regional precipitation enhancement correction coefficient, cloud supercooled water content, and cloud ice crystal concentration, the cloud precipitation enhancement potential is determined, and its expression is as follows: in, This is the cloud-induced rainfall coefficient. This is a regional rainfall enhancement correction factor. This refers to the supercooled water content of clouds. The concentration of ice crystals in the clouds. Potential for cloud-based rain enhancement.

3. The method for batch-based controlled rainfall enhancement in artificial weather modification operations according to claim 1, characterized in that, Step S102 includes the following steps: Based on precipitation anomalies, the degree of drought in agricultural land, and the current reservoir water storage, the rainfall requirements for the operational area are determined; Based on the cloud's rain enhancement potential and the rainfall demand of the operational area, rain enhancement conditions are matched to determine whether the conditions for rain enhancement are met. Based on the matching results of rain enhancement conditions, the corresponding cloud features are retrieved, and a preliminary rain enhancement plan is generated.

4. The method for batch-based controlled rainfall enhancement in artificial weather modification operations according to claim 1, characterized in that, Step S103 includes the following steps: Based on the cloud supercooled water content and cloud ice crystal concentration in the preliminary rain enhancement plan, it was determined that the preliminary rain enhancement could replenish the cloud ice crystal concentration. The horizontal diameter and vertical thickness of the cloud layer are obtained based on the cloud echo morphology characteristics in order to determine the volume of the supercooled region of the cloud layer. Based on the volume of the supercooled cloud zone and the amount of cloud ice crystals that can be replenished by initial rain enhancement, the total amount of rain enhancement catalysts that can be replenished by initial rain enhancement is determined.

5. The method for batch-based controlled rainfall enhancement in artificial weather modification operations according to claim 1, characterized in that, Step S104 includes the following steps: Based on cloud type, cloud echo intensity characteristics, and cloud echo morphology characteristics, the distribution of supercooled water content in the cloud is obtained, and the cloud region is divided to obtain the distribution of supercooled water content in each region of the cloud. Based on the preliminary rain enhancement can replenish the total amount of rain enhancement catalyst and the distribution of supercooled water content in different regions of the cloud, the batch allocation of rain enhancement catalyst is determined. The first batch of rain enhancement catalysts was launched into the cloud layer of the target area, and cloud echo data of the target area was obtained.

6. The method for batch-based controlled rainfall enhancement in artificial weather modification operations according to claim 1, characterized in that, Step S105 includes the following steps: Catalytic echo feature extraction was performed on cloud echo data in the target area to obtain the catalytic cloud echo intensity features and cloud echo movement features. The ice crystal concentration of the cloud after catalysis is determined based on the echo intensity characteristics of the cloud after catalysis and the cloud type of the target area, and the difference between the ice crystal concentration and the expected value of the cloud ice crystal concentration is processed. The compensation catalytic amount is generated based on the differential treatment results of ice crystal concentration. By adjusting the emission angle and direction based on the cloud echo movement characteristics, the compensation catalytic amount is accurately emitted into the cloud layer of the target area.

7. A batch-based controlled-rain enhancement system for weather modification operations, used to implement the batch-based controlled-rain enhancement method for weather modification operations as described in any one of claims 1-6, characterized in that, include: The first data processing unit is used to extract cloud features from radar cloud echo and satellite cloud temperature data in order to determine the cloud rain enhancement potential. The second data processing unit is used to match the cloud rain enhancement potential with the rainfall demand in the operation area to rain enhancement conditions and generate a preliminary rain enhancement plan. The third data processing unit is used to determine the concentration of cloud ice crystals that can be replenished by the initial rain enhancement scheme, and to generate the total amount of rain enhancement catalysts that can be replenished by the initial rain enhancement. The fourth data processing unit is used to generate batches of rain enhancement catalysts to be emitted to the cloud layer in the target area based on the total amount of rain enhancement catalysts that can be replenished from the initial rain enhancement, and to acquire cloud echo data in the target area. The fifth data processing unit is used to extract catalytic echo features from cloud echo data in the target area to determine the catalytic effect, and to compensate for the amount of catalytic effect.

8. The batch-based controlled rain enhancement system for artificial weather modification operations according to claim 7, characterized in that, The first data processing unit performs cloud feature extraction processing on radar cloud echo and satellite cloud temperature data to determine the cloud's rain enhancement potential, including: Feature extraction processing was performed on radar cloud echo and satellite cloud temperature data to obtain cloud echo intensity features, cloud echo morphology features, cloud echo movement features, and satellite cloud temperature features. Cloud types are determined based on cloud echo morphology characteristics. Cloud types include stratiform clouds, cumulus clouds, and mixed cumulus-stratus clouds. Based on cloud type, cloud echo intensity characteristics, and satellite cloud temperature characteristics, the supercooled water content and cloud ice crystal concentration were determined. Based on the characteristics of cloud echo movement, the direction and speed of cloud movement are determined; Based on cloud type, cloud supercooled water content, cloud ice crystal concentration, cloud movement direction and speed, the cloud rain enhancement potential of the operational area is determined.

9. The batch-based controlled rain enhancement system for artificial weather modification operations according to claim 7, characterized in that, The fifth data processing unit extracts catalytic echo features from cloud echo data in the target area to determine the catalytic effect, and performs catalytic amount compensation based on the catalytic effect, including the following steps: Catalytic echo feature extraction was performed on cloud echo data in the target area to obtain the catalytic cloud echo intensity features and cloud echo movement features. The ice crystal concentration of the cloud after catalysis is determined based on the echo intensity characteristics of the cloud after catalysis and the cloud type of the target area, and the difference between the ice crystal concentration and the expected value of the cloud ice crystal concentration is processed. The compensation catalytic amount is generated based on the differential treatment results of ice crystal concentration. By adjusting the emission angle and direction based on the cloud echo movement characteristics, the compensation catalytic amount is accurately emitted into the cloud layer of the target area.

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