10 results about "Marsh" patented technology

The invention relates to the technical field of ecological restoration, in particular to an ecological restoration method for a marsh wetland patrol road slope. Experiments show that compared with other tree species (salix procumbens), the survival rate of the salix procumbens in the marsh wetland patrol road side slope is higher, and the salix procumbens has a more excellent slope fixing effect. Furthermore, the length and the thickness of the willow branches are optimized and adjusted, the willow branches with the proper diameter at breast height and the proper length are finally selected for cuttage, the survival rate is remarkably increased, and the slope fixing effect is remarkably improved. Water and soil loss can be effectively reduced, stable vegetation coverage can be formed in a short time, and reliable technical support is provided for ecological restoration of marsh wetland patrol road slopes.

The saturated water generating device aims at providing equipment which is simple in structure and capable of efficiently generating oxygen saturated water, the concentration of dissolved oxygen in water can be fully increased, and the saturated water generating device is suitable for places such as lakes, marshes, aquaculture farms or sewage treatment plants. The saturated water generating device of the present invention comprises: a container in which the bottom surface and the side surfaces are sealed by a bottom plate and four side plates, wherein the upper surface of the bottom plate is open and is rectangular; the upper end of the elliptical water guide plate faces upwards, and the opening part clamped by the pair of end parts faces upwards and is vertically placed in the container; a nozzle for spraying water from above to the inner surface near the opening; the water supply pipe is connected with the tip of the nozzle; a feed pump (not shown) connected to the base end of the discharge port; and the overflow pipe is connected to the first water outlet (not shown) of the side plate near the bottom plate.

This invention relates to a method for simulating and predicting the spread of *Carex chinensis* mound communities in marsh wetlands. The invention belongs to the field of marsh wetland plant community spread simulation technology, specifically a method for simulating and predicting the spread of *Carex chinensis* mound communities. This invention addresses the problem of not being able to simulate and predict the spread paths and rates of *Carex chinensis* mound communities in marsh wetlands using existing ecological and environmental data. The method involves: acquiring and interpreting remote sensing images; acquiring community characteristic data and ecological and environmental data; processing the acquired remote sensing images and ecological and environmental data to form a database; creating an MCE suitability atlas; simulating the spread of *Carex chinensis* mound communities; verifying the accuracy of the simulation results; and then making predictions. This invention can accurately predict the spread paths and rates of *Carex chinensis* mound communities in marsh wetlands and can be applied to wetland restoration and management.

The invention relates to the technical field of ecological engineering and wetland restoration, in particular to a comprehensive restoration method for rapidly improving functions of a bird breeding place of a degraded marsh wetland, and aims to solve the problems of nest site deficiency, insufficient food sources and man-made interference confronted by bird breeding in the degraded wetland. Repair is carried out through comprehensive measures of combining nest site accurate configuration, food source directional strengthening and interference system control. The method specifically comprises the steps that mandarin duck nest boxes and small nest boxes are hung on a suitable wetland, haystacks are built, and diversified nest sites are provided for different birds; putting benthonic animals and fishes in the shallow water area to supplement a food source; meanwhile, propaganda education is carried out on surrounding residents, closed management is carried out on the protection forest in the breeding season, and man-made interference is reduced. According to the method, the bird breeding function of the degraded wetland can be quickly and specifically recovered, the number and diversity of bird populations are improved, and the method has the characteristics of simplicity and convenience in implementation, low cost and quick effect, and is suitable for ecological restoration and function improvement of the degraded marsh wetland.

The invention discloses a comprehensive planting and breeding method for rice, ducks and shrimps, and belongs to the field of agricultural production.The comprehensive planting and breeding method for rice, ducks and shrimps specifically comprises the steps that freshwater shrimps and macrobrachium rosenbergii are bred in a rice field in the first half year, and rice is planted and sheldrakes are bred in the second half year. According to the comprehensive planting and breeding method, the omnivorous characteristics of the freshwater shrimps and the macrobrachium rosenbergii are fully utilized, and the number of algae and other aquatic organisms in the rice field is reduced. Excrement of the shrimps can increase soil fertility and reduce the use amount of chemical fertilizer in the rice field; the ducks can prey on duckweed, aquatic plants and rice diseases and pests, eggs laid by the ducks can also increase income for farmers, and'five purposes in one water and five harvests in one field 'are achieved.

The invention relates to the technical field of wetland plant diversity monitoring devices, and particularly discloses a wetland plant diversity monitoring device and monitoring system, which comprises a multi-source data acquisition unit, a data transmission unit and a data encryption unit, the multi-source data acquisition unit comprises an air acquisition unit, a ground acquisition unit and an underwater acquisition unit; the air acquisition unit comprises a multi-rotor unmanned aerial vehicle, and a hyperspectral imager and an RGB (Red, Green, Blue) high-definition camera which are carried on the multi-rotor unmanned aerial vehicle; according to the invention, on one hand, through the multi-source acquisition unit, the limitation that areas such as deep water areas and marshes are difficult to cover by manual monitoring is broken through, and the whole habitat coverage of emergent water, floating water and submerged plants is realized; and on the other hand, the defect of single dimension of existing automatic monitoring data is made up by collaborative acquisition of multi-source data.

The utility model discloses an ecological circulating system based on fly ash resource utilization has solved the technical problem of low resource utilization rate. The device includes soil conditioner preparation device, facility agriculture device, anaerobic fermentation device, separation device, purification device, sustainable aviation fuel production device etc. The anaerobic fermentation device carries out fermentation treatment to the crop leftover material or waste of facility agriculture device, to obtain marsh gas, marsh liquid and marsh residue. The separation device separates the marsh liquid and the marsh residue. The marsh residue and the marsh liquid are used for facility agriculture production. The purification device purifies and separates the marsh gas to obtain biological natural gas and green carbon dioxide. The green carbon dioxide can be used for increasing the yield of facility agriculture. It can also be combined with green hydrogen to produce sustainable aviation fuel. The utility model can realize the reasonable integration and utilization of resources, construct a relatively complete ecological circulating system and industrial chain, and improve the resource utilization efficiency.

This invention relates to an automatic classification method, apparatus, equipment, and medium for grassland remote sensing resources, belonging to the fields of remote sensing image processing and machine learning. The method employs a three-layer classification framework, combining ground sample plots, remote sensing data, meteorological data, and DSM elevation data to progressively distinguish between grassland and non-grassland, coarsely classify grassland types (grassland, desert, shrubland, meadow, and marsh), and refine them into 18 grassland resource categories. Gaussian low-pass filtering is used for noise reduction, weighted pooling generates multi-scale feature maps, gated convolution fills in missing regions, and an attention mechanism enhances the spatial autocorrelation of geographical features. Random forest and convolutional neural networks are compared and optimized, and the optimal model is fused. Accuracy is evaluated based on UAV data and grassland resource maps, calculating the overall macro-average accuracy, user accuracy, producer accuracy, F1 index, and Kappa coefficient. This invention achieves high-precision grassland resource classification and is suitable for ecological monitoring and management of grassland resources.

This application provides a method, apparatus, and equipment for predicting the impact of marsh vegetation change on land surface temperature, belonging to the field of ecological remote sensing and climate effect assessment technology. Based on long-term series leaf area index, land surface temperature, digital elevation model, and marsh wetland distribution data, it first determines the vegetation pixel distribution as the study area within the unchanged marsh wetland distribution range; it then constructs annual and multi-year average growing season datasets using the maximum value synthesis and arithmetic mean methods; within the grid cells, pixels are divided into high and low value groups based on the multi-year average growing season leaf area index, and the difference between the multi-year average growing season leaf area index and the average land surface temperature of all pixels in the high and low value groups is calculated to quantify the degree of land surface temperature change caused by marsh wetland vegetation cover change; finally, by combining the vegetation change trend at the pixel scale, it achieves accurate prediction of the future impact on land surface temperature.