38 results about "Climate of Mount Kenya" patented technology

The present invention relates to satellite systems and more particularly, to the provision of a satellite system for weather and climate monitoring, communications applications, and scientific research at higher latitudes, referred to as the circumpolar region and defined here as the area with latitudes greater than 60°, in either the northern hemisphere or the southern hemisphere. Contrary to the teachings in the art it has been discovered that a satellite system and method may be provided using satellites in 24 sidereal hour orbits (geosynchronous) with inclinations (70° to 90°), orbital planes, right ascensions and eccentricities (0.275-0.45) chosen to optimize coverage of a particular service area located at high latitudes. A constellation of two satellites can provide continuous coverage of the circumpolar region. The satellites in this orbit avoid most of the Van Allen Belts.

A forecast method of forest fire danger of coupling climate and vegetation belongs to the computer digital image processing technical field. The forecast method of the forest fire danger of the coupling climate and vegetation comprises performing remote sensing classification on forest combustible in Zhejiang Province and performing grade division on forest fire combustible; generating a spatial forecast database of meteorological factors in a forest according to thin plate smoothing spline interpolation with meteorological data as the base; calculating to obtain a spatial database of climatic indexes of the forest fire danger in Zhejiang Province by utilizing a module of the climatic indexes of the forest fire danger and simultaneously performing the grade division on climate fire danger; performing coupling on the spatial database of the climatic indexes of the forest fire danger and a remote sensing classification database of the forest combustible, performing analysis and process by utilizing an ArcGIS ( Arc Geographic Information System) software, combining the occurrence intensity, spatial distribution pattern and regional characteristics of the forest fire disasters in Zhejiang Province, performing comprehensive analysis on fire occurrence and harm and combining with the media to establish an early warning and forecast system of the forest fire danger in Zhejiang Province to achieve forest fire danger forecast of different regions and different forest types.

The present invention relates to a restoration method of a degraded ecosystem in hilly areas of Funiu Mountain in Western Henan Province in the technical field of ecological restoration. The restoration method comprises the following steps of selecting appropriate tree species, shrubs and grass species, reasonably performing structure configuration, and effectively restoring the ecosystem in a short time. According to the restoration method, regional vegetation coverage rate is improved by 20-40%, water and soil erosion is reduced by more than 30%, and soil nutrient accumulation is increased by 8-10%. The forest and grass ecosystem is reasonable in structure. Through screening and optimizing, a robinetinidin & medicago sativa and quercus variabilis & medicago sativa artificial forest and grass community structure mode which is high in water and soil conservation benefit is established, economic benefit per unit field area is increased by more than 25%, nitrogen fertilizer application mount is saved by 20%, and net income of farmers is improved by more than 15%. Ecological environment and climate in the experimental areas are largely improved.

The invention provides a method for herbaceous plants to cope with global climate change. The method comprises the steps of 1, with herbaceous plants being the main body, managing stony desertification and desertification, controlling coastal erosion and water and soil loss and preventing an earth ecological system from collapsing and breaking down; 2, planting the herbaceous plants in regions with the stony desertification, the desertification, the coastal erosion and the water and soil loss, fixing the surface soil layer, recovering or rebuilding vegetation and controlling emission of carbonin lithosphere to atmosphere and hydrosphere; 3, utilizing the characteristics that the fast-growing herbaceous plants are fast in growth and development, high in carbon capturing efficiency and hugein biomass, convert movable carbon in the atmosphere into fixed carbon, develop new climate economy, further promote the increase of the amount of the fixed carbon in the industries of agriculture, forestry, animal husbandry, side-line production and fishery and achieving a world zero carbon development mode. Ecological development is the best carbon emission reduction mode, and carbon dioxide isprecious wealth of the human. Respecting the nature, conforming to the nature, protecting the nature and guiding the nature solve the problem of ecology, environment, resources, economy and global climate warming.

A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and / or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and / or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyzes.

The invention discloses a method for association rule mining of ocean-land climate events with combination of a climate subdivision thought. A Delaunay triangulation network of space data is established and an overall and local long-side constraint is exerted on the space data, so that a reasonable and stable space adjacent relation network is obtained, the similarity of a time series of space adjacent entities is measured, hierarchical clustering is conducted to obtain a hierarchical cluster result, and a good climate subdivision result is obtained on the basis of false-T statistical magnitude analysis; a prior knowledge constraint of a related field is brought in and interested climate events are extracted from ocean climate indexes and land climate zones respectively, so that effective association rules among the ocean-land climate events are mined through exertion of a time window width constraint, a time delay constraint and a sufficiency and necessity constraint. The multi-scale effect can be effectively considered in the mining process so that an effective climate zone can be obtained and high efficiency, pertinence and practicability can be achieved through multiple constraints when the association rules are mined.

The invention discloses a northwest Pacific Ocean ommastrephidae bartramii winter-spring stock colony abundance prediction method based on a gray system. The northwest Pacific Ocean ommastrephidae bartramii winter-spring stock colony abundance prediction method comprises steps of (1) obtaining nino3.4 anomaly, PDO data, sea surface temperature SST and chlorophyll concentration ch1-a, and four sea environment and climate factors, (2) performing gray correlation analysis on four sea environment and weather factors, (3) choosing four factors having a highest association degree according to a gray association analysis result, wherein the four factors include: average sea surface temperature of an egg laying field in march, an interdecadal oscillation index of the pacific ocean in January, nino3.4 anomaly in march and average chlorophyll concentration in march; (4) establishing 8 prediction models based on the gray system according to four chosen factors; and (5) performing effective examination on 8 prediction models to choose a gray association model GM (1,4) structure as the prediction method for the northwest pacific ocean ommastrephidae bartramii winter-spring stock colony abundance. The prediction accuracy of the prediction method of the invention reaches more than 90%.

The invention provides a severe cold area building courtyard optimization method based on winter wind environment simulation. The method concretely comprises the following steps that 1, reference physical models of a courtyard and a peripheral space are built; 2, the boundary conditions are set according to Special Meteorological Data Set for China Building Thermal Environment Analysis; 3, simulated parameters are selected for simulation analysis; 4, simulation data analysis is carried out, and an optimum design strategy is obtained. The method provided by the invention has the advantages that the regional features of a severe cold area are used as study development premise, and the limitation caused by using wind field as the single standard is avoided; simulation software is selected, and each design condition and simulation parameter are selected on the basis of theory foreshadowing; an integral study simulation framework is established; an effective optimum design method is provided for discussing acting rules between the courtyard micro environment and the courtyard space form under climate conditions of cities in severe cold areas, and the reference data is provided for the relevant study of the special climate conditions in the cities in the severe cold areas.

The invention discloses a water control and anti-cracking culture method of South Jiangsu Province fresh eating date; by building a data farm water-draining network and a fixed rainy-day-proofing scaffold and carrying out micro-jetting irrigation, water supplying is controlled according to the date tree growth rhythm, the weather effect in summer in South Jiangsu Province, that is, the weather is droughty sometimes and is flooded sometimes, is eliminated on the data tree growth, and data fruit cracks can be effectively prevented; the reality proves that the method has high output and good quality, the data cracking ratio can be reduced to below 3 percent from 70-80 percent, the benefit of data farmers can be greatly improved, and 5000-10000 yuan can be increased every acre.

The invention discloses a sunlight greenhouse adaptive to climates of south of China. The sunlight greenhouse is composed of an arc-shaped arch frame, a plastic thin film covering the arch frame, a heat-insulation quilt, a ventilation window, a canopy mounted at the top of the arch frame and heat-insulation walls arranged at the base part, and is characterized in that one ventilation window is designed at the top of the arch frame; a reversed herringbone canopy is mounted at the top of the ventilation window; a corner for storing the heat-insulation quilt is formed by crossing a supporting rod of the canopy and the arch frame; and the fixed low heat-insulation walls are built on four sides of the base part of the arch frame. With the adoption of the sunlight greenhouse, a series of problems caused by the fact that heat-insulation walls of a previous sunlight greenhouse in the south of China need to be mounted and dismounted each year are solved; and the heat-insulation performance of the greenhouse is improved, and the ventilation, cooling and moisture-reduction capabilities of the greenhouse are enhanced. Therefore, when the sunlight greenhouse is used in the south of China, the temperature in the greenhouse is in a temperature range suitable for growth of warm-season crops to the greatest extent, so that the growth of the crops is facilitated, and the relatively high yield and relatively great economic benefits are obtained.

The invention relates to a technical method for greenhouse building, proper grass seed combining and planting and pasture harvesting and storing in arctic-alpine pasturing areas, in particular to a method for artificial pasture planting in greenhouses in arctic-alpine pasturing areas, and aims to solve the problem of shortage of fodder grass in winter and spring in the arctic-alpine areas. The whole-set method includes: providing greenhouse building parameters according to weather and soil conditions of the arctic-alpine pasturing areas and biological features of pasture; selecting three kinds of pasture including elymus nutans, elymus sibiricus and poa annua which are good in local seed introduction and domestication effect for seeding according to a proportion; performing fertilizing, irrigation management and harvesting and storing suited to local conditions and arctic-alpine weather conditions. By the method, utilization efficiency of weather resources like water, heat and light and pasture yield can be improved; fodder grass in winter and spring can be supplemented through harvesting and storing, so that economic benefit is remarkable.

The invention relates to an artificial wetland warm season and cold season plants interplanting configuration method in subtropical areas, naturally and alternately growing characteristics of warm season and cold season plants are utilized, warm season plants are harvested firstly when the overground parts of autumn plants are withered and yellow, then cold season plants are interplanted between the plants, the overground parts of the warm season plants are dead when in cold seasons, the clod season plants grow naturally and can be harvested when in late spring, and at the time, the overground parts of the warm season plants have grown. According to the invention, the season changing problem of the plants can be solved, the warm season plants do not need to be changed, the microenvironment conditions nearby the root are not changed, the sewage treating effect can be ensured, the influence of seasons and climates is less, the aspect change of the plant is increased, and the stronger view effect can be achieved.

The invention discloses a cultivation method for making an endangered thousand-year-old tree rejuvenate. According to the method, in the early stage that the endangered thousand-year-old tree is aboutto wither, faces death and is near extinction, the environmental, climatic and cultural cultivation is used, pine forest resources and environments for wild plant growth are protected, habitats and growth sites of wild animals and plants are recovered, man-made excessive deforestation and disordered exploitation and trampling are inhibited, and the tree-protecting awareness and tree-growing behaviors of people are achieved. The technologies of soil protection, weir building and earth filling, tree shaping, branch pruning, tree holding, tree supporting, tree protection, fertilization, watering, seed breeding, seed harvesting, seed storage, seed germination acceleration, sapling cultivation, transplanting and planting, grafting and regeneration are utilized, and disease and pest control iswell conducted, so that the endangered thousand-year-old tree rejuvenates, and luxuriant propagation and growth of branches and leaves are achieved; the protection of the endangered thousand-year-oldtree is beneficial to carrying out scientific research in China and achieving the sustainability of human landscapes, people can enjoy good life, and the endangered thousand-year-old tree can be scientifically utilized valuably.

The invention provides a climate change risk analysis and evaluation method, which comprises the steps of determining climate variables and social and economic variables based on historical climate data, historical social and economic data and quantifiable climate policy indexes; respectively constructing a regional economic loss model, a meta-analysis loss model, an extreme disaster loss model and a department climatic loss model from top to bottom according to the climatic variable and the social economic variable; and determining comprehensive climatic change economic loss according to theregional economic loss model, the meta-analysis loss model, the extreme disaster loss model and the department climatic loss model. An economic model and a physical model are coupled, modeling is carried out based on historical data, social and economic risks caused by climate change are evaluated based on future climate change data, the influence of climate change on a social and economic systemis quantified, and probabilistic loss and income caused by climate change are obtained.

The invention discloses a TDNN-based prediction method for NDVI in the grassland area of northern China: establishing a TDNN prediction model of monthly average rainfall in the future year growth seasons; establishing a future year growth season monthly average rainfall-NDVI mapping model; putting the future year growth season rainfall monthly average prediction value generated by the rainfall TDNN prediction model into the rainfall-NDVI mapping model to obtain the future year growth season NDVI monthly average prediction value. The invention can accurately predict the average value of the NDVI in the growing seasons (June to August), thereby realizing the evaluation of the number of grazable livestock (carrying capacity) in the future years according to the prediction value of the NDVI. The method is conducive to realizing the dynamic grazing strategy based on the predictable climatic conditions, so as to avoid the occurrence of overgrazing in the disaster years.

The invention provides a model for forecasting the similarity of rainfall and runoff. An existing technical wavelet thresholding denoising method is adopted to denoise; common linear transformation in mathematics is applied to carry out normalization processing on denoised rainfall and runoff data; then the minimum of the sum of Euclidean distances between the normalized rainfall and runoff data is calculated; and a similarity function of rainfall and runoff is fitted by utilizing an existing least square method. The model is suitable for forecasting the similarity of rainfall and runoff in all areas. On one hand, the model provides reference for the meteorological department and takes a guide effect on the hydrologic regime of a certain area; and on the other hand, according to the change condition of the similarity of rainfall and runoff, the climatic environment change of a certain area can be monitored and influence of human activities and the condition of damage to the ecological environment can be analyzed.

The invention belongs to the field of engineering technique for ecological greening town in subtropical zones. The employed combined lawn strains are Ling zhi tall fescue, hound tall fescue, beck tall fescue, Jiao zhan tall fescue, midnight English grass, De bi perennial ryegrass and common Bermuda grass, sowing seeds according to the proportion of tall fescue strains 50%, English grass strains 20%, perennial ryegrass strains 10% and Bermuda grass 20%, for two working times and even sowing, through scientific caring and management, in areas of normal climate and management such as Nan jing, the lawn yearly green period is above 320 days, the oversummering and overwintering rate is above 95%, the structure is stable, there are little weeds, the lawn is temperature-resistant, cold-resistant and trample-resistant, and the cost of lawn forming and caring is low, suitable for forming lawns in the green place, square and sportsground.

The invention provides a plantation technique for cotton protected areas with low-latitude plateau climate, and relates to plantation technique for cotton seedling growing, transplanting and field management under low-latitude plateau climate. During a seedling growing phase, means of cooling, moisture retention, shortening film-covering time and prolonging sunshade time are employed to prevent burning of seedlings during the very phase. Special seedbed fertilizer is used to facilitate growth of seedlings. The phase of transplanting to a field mainly involves cultivation in protected area of the field, one-time applying special cotton fertilizer and chemical regulation of whole processes and other comprehensive plantation technology, and the problems of too much rain during the field cultivation phase and drought in later phase can be solved. Weeds are effectively controlled, manual weeding and use of herbicides are reduced, and the cost is lowered.

The invention discloses a simulation device for sea and earthquake climate environments, and belongs to the technical field of test devices. The simulation device comprises a cabin, and a earthquake simulation structure for driving the cabin to rotate or move in a rectilinear manner. The cabin is provided with a hurricane system, a spray system, a temperature control system, a sea water circulation system, a wave and tide generation device, an odor generation device and a noise system. The simulation device can simultaneously simulate the sea, the earthquake and all kinds of simultaneous extreme climate environments, enables the experiencers to experience all kinds of extreme climate environments such as the sea and the earthquake in one time, improves the perceptual knowledge of ordinary experiencers for the extreme climate environments, can provide precious research information for researchers, and can simultaneously eliminate the fear of the wounded person for the extreme climate environments, thereby quickening the healing cycle; the simulation device solves the problem of high production cost and high experience cost in the prior art due to that the simulation device can simulate only one climate.

The invention relates to a comprehensive assessment technology for influences and risks of future climate changes on biodiversity and belongs to the technical field of ecological environment protection and climate change. Based on the comprehensive investigation of the characteristics of biodiversity in China, the technology, by using climate change scenario pre-estimation technology, a Monte Carlo method, computer simulation, GIS and risk assessment technology, discipline theories and practices such as climatology and probability theory, establishes an influence and risk assessment index of climate change on biodiversity, a species distribution loss rule, a randomized climate scenario, and a combination of niche models and climate scenarios, simulates a climate change influence, and assesses the influences and risks of future climate changes on biodiversity. The technology is a technical measure for establishing biodiversity protection acclimatization change, protects the biodiversity, and has important social, economical and environmental benefits. The technology is good in operability, low in cost, low in maintenance cost, wide in application range, and especially suitable for the assessment of influences and risks of the climate changes on biodiversity in China.

The invention provides meteorological climate regionalization arguments and causes by using the historical data of meteorological observation sites of the regionalization since building, comparing and analyzing and researching the temperature, precipitation, wind, sand and sunlight and other meteorological elements while combining with the annual, seasonal and monthly and other characteristics according to the anomalism of the climate, and researching the generation and distribution rules of meteorological climate regionalization from the time and space, wherein the generation and distribution rules comprise interannual change, annual change, seasonal change and abnormal change. The relation of the meteorological climate regionalization and EL-Nino events, NAO (North Atlantic Oscillation), PDO (Pacific Decadal Oscillation), SOI (Southern Oscillation Index), AO (Angola) and other factors by means of teleconnection analysis is indicated, and the characteristics of atmospheric circulation anomalies which cause the climate regionalization anomalies are indicated.

The invention discloses a method for predicting the quantity of squid resources in the north pacific ocean based on the pacific oscillation index. The method comprises the following steps: obtaining the monthly Pacific oscillation index PDO value of the North Pacific Ocean where the squid is distributed in the North Pacific Ocean in the previous N years; The correlation between squid abundance ln(CPUE) and monthly PDO values in the first N years in the North Pacific Ocean was analyzed by using time series analysis method. The monthly PDO values were obtained as climatic factors affecting theabundance of squid resources in the North Pacific Ocean. Multivariate linear equation was used to establish several abundance prediction models of squid resources in the North Pacific Ocean and to calculate the statistical P value.in the above-mentioned North Pacific resource abundance prediction models, the model with the smallest statistically P value is selected as the optimal model.

The invention discloses a method for forecasting katsuwonus pelamis fisheries in central and west pacific ocean based on different climatic conditions. The method comprises the steps of dividing first 20 years before a prediction year into El Nino months, La Nina months and normal months; obtaining SSTA data of an NINO3.4 area in the first 20 years; matching fishing data in the first 20 years with the SSTA data, and dividing the data into historical fishery production data and historical environment data under three climatic conditions; building a fishery forecast model under each climatic condition by utilizing normal distribution, separately selecting 80% of the historical data under the three climatic conditions to train corresponding normal distribution models, and verifying the corresponding normal distribution models by utilizing the 20% residual data, wherein the three models are proven to be good by verification; and dividing a research area into 22 sea areas, performing SSTA data statistics on each sea area, analyzing corresponding SSTA ranges, judging the climatic condition which the research area belongs to, and forecasting distribution of the katsuwonus pelamis fisheries in the research area by utilizing the normal distribution model corresponding to the judged climatic condition.

The invention belongs to the road safety field and relates to a Bayesian network-based multi-data fusion algorithm. The algorithm involves linearity, traffic volume, climate environment, historical accidents, roadside features, roadside traffic accident occurrence probability, and monitoring opinions, wherein the linearity includes an average curve and a longitudinal gradient, the traffic volume includes daily average traffic volume and the proportion of trucks, the climatic environment includes the frequencies of rain, snow and fog climate and the frequencies of other natural disasters, the historical accidents include wounding accidents, fatal accidents and property loss accidents, the roadside features include roadside depth, discrete hazardous materials, continuous hazardous materialsand clear zone conditions, and the monitoring opinions are variables. According to the algorithm of the present invention, the Bayesian network, serving as a reliability analysis means, processes complex logic relationships, and therefore, multi-state variables and related lines between the variables can be processed conveniently, and uncertainty relationships between the variables can be well expressed. The algorithm can have high real-time performance and is scientific and reasonable.

Provided is a method for annularly utilizing a shield-type bee box composed of a natural or new-method bee-keeping base. Based on climatic characteristics of different regions, early spring, spring, early summer, midsummer, autumn, late autumn, early winter and winter of a local area can be determined. In the above-mentioned seasons, the function of the shield-type bee box can be adjusted. Therefore, bee groups can naturally and rapidly propagate in a heating manner in the early spring. In spring, bee groups grow into be robust groups. In early summer, the surrounding of the box is kept breathable and ventilative. In midsummer, bee groups receive gas from the ground. In autumn, the bee groups keep strong. In the late autumn, more wintering bees are raised. In early winter, a queen bee stops spawning. In winter, the bee groups closely cluster to safely overwinter.

A method for predicting squid resource abundance of Japanese winter school base on Pacific oscillation index includes obtaining monthly Pacific oscillation index PDO value of Pacific side sea area ofHokkaido distribute by Japanese winter school squid in previous N years; The correlation between the abundance of squid resource CPUE and the monthly PDO value in the first N years is analyzed by using the time series analysis method. The monthly PDO value of P < 0.05 is obtained. The monthly PDO value is regarded as the climatic factor affecting the abundance of squid resource in the winter population of Japan. Multivariate linear equation is used to establish several prediction models of squid resource abundance in Japanese winter population and calculate the statistical P value. Among theprediction models of squid resource abundance in Japanese winter population, the model with the smallest statistical P value was selected as the optimal model.

The invention discloses a method for predicting the abundance of squid resources of Japanese Qiusheng school based on Pacific oscillation index. The method comprises the following steps: obtaining themonthly Pacific oscillation index PDO value of the sea area of Japan Sea distributed by Japanese Qiusheng school squid in the previous N years; The correlation between the abundance of squid resourceCPUE and the monthly PDO value in the first N years was analyzed by using the time series analysis method. The monthly PDO value of P < 0.05 was obtained. The monthly PDO value was regarded as the climatic factor affecting the abundance of squid resource in the Japanese Qiusheng colony, and the results showed that the abundance of squid resource CPUE in the Japanese Qiusheng colony was significantly correlated with the monthly PDO value. Multivariate linear equation was used to establish the abundance prediction model of squid resources in several Japanese autumn-born groups and to calculatethe P value statistically. Among the above models, the model with the smallest P value is selected as the optimal model.

The invention relates to a planting method of a Holland Narcissus bulb, and particularly to a method for breeding Holland Narcissus bulb under a Shandong coastal climate condition. The method comprises the steps of: performing crossed and longitudinal cutting from roots of the bulbs to 1 / 3 of the bulbs in the middle ten days of August; placing the bulbs in a carbendazim solution for soaking; after fishing out and air-drying the bulbs, planting the bulbs in washed and cleaned fine sands; keeping about 70% water moisture of the sands; placing the sands in a natural temperature environment conditions with the air humidity of more than 80% for 2 months; adopting ridging planting to plant the bulbs from Nov. 1 to Nov. 10 of each year; covering a grass pad on the ridged surface from Dec. 1 to Dec. 10 of each year; covering a plastic heat preservation shed while removing the grass pad from Jan. 20 to Jan. 31 in next year; removing a heat preservation shed from Mar. 1 to Mar. 10; adding soil of 2-5 cm thick around plants; digging the bulbs after the plants are died away; obtaining 10-20 small Holland Narcissus bulbs with the diameter of about 5-8 cm.