179 results about "Climate variation" patented technology

The invention relates to a game engine which comprises a network communication module, a user interface module, a level editing module, a trade editing module, a mission editing module, an interaction editing module and a climate editing module, wherein the network communication module is used for providing network communication in a C / S (Client / Server) mode; the bottom layer of the network communication module is completely packaged; the network communication module supports cloud computing and provides a script interface custom extension function; the user interface module is used for editing a user interface; the level editing module is used for editing level attributes which comprise map scenes, roles, special effects, event trigger and artificial intelligence; the trade editing module is used for editing trade modes between users and a system or between users in a game; the mission editing module is used for editing missions in the game; the interaction editing module is used for editing chat and communication functions in the game; and the climate editing module is used for editing climate variation in the game. Compared with the prior art, the game engine disclosed by the invention provides rich editors for a developer to use, provides a great number of script interfaces for leading in customized game elements and is suitable for development of a large-scale multiplayer online role play game.

The invention discloses a quantitative analysis method for river runoff change caused by climate change and human activities. The method comprises the steps of collecting hydrological and meteorological information, water resource evaluation data and human activity information in a basin, judging a mutation point of an annual runoff process, wherein the part before the mutation point is a natural stage of the basin and the part after the mutation point is an influence stage of the basin, the entire natural runoff sequence is reconstructed by using the hydrological and meteorological information of the natural stage, using hydrological model rating model parameters and then using meteorological information of the whole period, and analyzing the contribution of climate change and human activities to the river runoff change by using the difference between the reconstructed natural runoff and the actually measured runoff. By adopting the quantitative analysis method for river runoff change caused by climate change and human activities, in combination with situations such as hydrological and meteorological factor changes, land use changes and water use in the basin, the binary attribution analysis of the river runoff change caused by climate change and human activities is extended to quaternary attribution analysis of the river runoff change caused by rainfall change, climate change, land use change and water use.

The present invention discloses a crop irrigation water requirement calculation method on future climatic conditions. The method comprises the steps of collecting the future climatic mode data, and correcting the future climatic mode data based on the historical actually measured meteorological data to enable the future climatic mode data to be suitable for the climatic change influence evaluation of a region or station scale; according to the growth period data of a crop field test and an accumulated temperature formula, constructing a response model of the crop planting date and the crop growth period length to the temperature; utilizing a penman formula to combine a single crop coefficient method and a soil moisture stress coefficient to calculate the crop daily water requirement; based on a crop irrigation system and a water balance principle to calculate the crop daily irrigation water requirement. Aiming at the influence of the climatic change on the agricultural water resource security, the method of the present invention considers the change of the crop planting date and the growth period caused by the global warming, so that a water resource planning management department can forecast the regional future agricultural water resource utilization amount more accurately, and accordingly, a water resource planning scheme is proposed more reasonably.

The invention discloses a reservoir group adaptability scheduling method based on an RCP. The method comprises the steps that a soil and water assessment tool (SWCP) hydrological model is driven by meteorological data in the global climate mode under representative concentration pathways (RCP) to predict a future runoff process; the basic information of reservoirs is acquired to establish a reservoir group adaptive scheduling model; the predicted future runoff under the RCP is used as the input of the adaptive scheduling model; and a chaos shuffled frog leaping algorithm (CSFLA) is carried out to determine a reservoir group adaptive scheduling policy. According to the invention, future runoff prediction of a drainage basin can be realized based on the RCP; a reservoir group optimal scheduling model adapting to power generation, flood control, ecology and other targets under the RCP is constructed and solved; the reservoir group adaptive scheduling policy which copes with the climate change is provided; and the method can be widely used in the practice of reservoir group scheduling production.

The invention provides a method for comprehensively assessing influences, on river runoffs, of human activities and climatic changes. The method comprises the following steps of: acquiring runoff data, temperature data and rainfall data in a drainage basin; respectively establishing a runoff long sequence, a temperature long sequence and a rainfall long sequence according to the runoff data, the temperature data and the rainfall data, and determining mutational points of the runoff long sequence, the temperature long sequence and the rainfall long sequence; taking a period before the mutational points as a natural periods and taking a period after the mutational points as an influence period; calculating an annual mean runoff change amount caused by climatic changes and an annual mean runoff change amount caused by human activities through a hydrological model method and an elastic coefficient method; and calculating influences, on the runoff change, of the human activities and the climatic changes according to the annual mean runoff change amount caused by the climatic changes and the annual mean runoff change amount caused by the human activities. The method is capable of effectively improving the evaluation objectivity and correctness.

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.

The invention discloses a method for establishing a model of a response of flood characteristics of medium and small river basins to the changing environment. According to the method, Meihua-River upstream basins of typhoon-rainstorm prone areas of south China serve as research areas, basin flood characteristics under conditions of climatic changes and land use and land cover changes and the response of the basin flood characteristics to the changing environment are analyzed; a physical geography data set of the research areas is established, then a field observation test is carried out in cooperation with historical screening flood data, the relationships between key runoff-generation-and-confluence parameters and environment factors are determined in cooperation with historical observation data, and the rainstorm-flood runoff generation mechanism in the changing environment of the relationships is discussed; the influence of the climatic changes and the land use and land cover changes on the flood characteristics of the typhoon-rainstorm areas is analyzed; a scientific basis and an infrastructural support are provided for prevention and management of flood damage of the medium and small river basins in typhoon rainstorm areas of south China and a land utilization optimization scheme in the future period.

The invention provides an atmospheric sulfur dioxide and ozone profile Raman-Rayleigh / Lamy multifunctional laser radar measuring device and a detection method. The device can be used for accurately measuring ozone and sulfur dioxide which influence the atmospheric environment and climate in a large height range for a long time, and measured data have high accuracy and reliability and can be used for researching the atmospheric environment and climate change. The device comprises an optical path, a data acquisition unit and a main control computer, wherein the front part of the optical path comprises a laser emitter, a beam expander, a reflecting mirror, a receiving telescope and a collimating mirror in sequence; and the back part of the optical path is provided with a dichroic mirror and a semi-reflective and semi-permeable lens for receiving respectively.

The invention relates to a processing method for detecting clouds on sea by polar orbit meteorological satellite visible and infrared radiometer (VIRR), which belongs to the field of meteorological remote sensing technology. According to the processing method, firstly first-grade observation data of the polar orbit meteorological satellite visible and infrared radiometer (VIRR) after positioning and scaling and corresponding sea-and-land template information are identified, thereby obtaining sea observation data; for sea image elements, information such as split window brightness temperature, brightness temperature difference, satellite zenith angle and sea temperature regression coefficient is used for performing sea surface temperature inversion; according to the characteristic of the VIRR instrument, statistical analysis is performed based on a matching data set of a long time sequence, and a temperature threshold is set; when the observed brightness temperature and the inversed sea temperature or the inversed sea temperature and the climatic sea temperature of the sea image element exceed a preset threshold, a fact that the sea image element is the image element with a cloud is determined. Compared with the prior art, the temperature threshold is set by means of the clinic change rule of the sea surface temperature and long-time sequence statistical information of the satellite detecting instrument VIRR; quantitative calculation or judgment for cloudy or sunny is performed on a target; and accuracy for detecting the clouds on the sea is improved.

To mitigate global climate change, a portfolio of strategies will be needed to keep the atmospheric CO2 concentration below a dangerous level. Here a carbon sequestration strategy is proposed in which certain dead or live trees are harvested via collection or selective cutting, then buried in trenches or stowed away in above-ground shelters. The largely anaerobic condition under a sufficiently thick layer of soil will prevent the decomposition of the buried wood. Because a large flux of CO2 is constantly being assimilated into the world's forests via photosynthesis, cutting off its return pathway to the atmosphere forms an effective carbon sink.

A heat transfer system having a flexible surface member having a first side and a second side, forming a heat transfer surface, and two or more thermal conduits, spaced apart and extending across a portion of the heat transfer surface, the two or more thermal conduits adapted to receive a thermal media to form a heat source (heating) or heat sink (cooling) across the heat transfer surface. The flexible surface member may have a plurality of edge regions, the two or more thermal conduits extending between edge regions, such as adjacent edge regions or opposing edge regions. The flexible surface member may have a plurality of corner regions, the two or more thermal conduits extending between corner regions, such as adjacent corner regions or opposing corner regions.

The invention discloses a lawn protecting method adaptive to climatic change in high frigid grassland regions, and relates to a technology of ecological restoration and high frigid grassland climatic change adaptation. The method comprises the following steps of: dividing a grazing grassland into three parts according to the grassland utilization mode, namely a warm season grazing region, a drop spraying irrigation region and a low shed drop irrigation region; performing fencing and rotational grazing on the three parts respectively; irrigating the grassland by using rive and lake water and warm season rainfall and combining a water-saving irrigation technology; performing reseeding, harvesting and storage or shed opening and rotational grazing on the grass of the drop spraying irrigationregion and the low shed drop irrigation region according to the climatic conditions; and determining the irrigation quantity according to the local climatic change condition, namely the difference between the rainfall precipitation and the grass demand quantity, and determining the climatic change adapting capability of the method. The method can solve the problems that edible grass for livestockin dry seasons is reduced, the meadow area in the dry seasons is small, and the grassland is destroyed by livestock and the like; and the productivity of the grassland in summer and the livestock bearing quantity are improved, recovery and protection of the ecological environment are realized, and the method is an effective measure for making the high frigid grassland regions adaptive to the climatic change.

The invention discloses an irrigation requirement computation system and an irrigation requirement computation method under a climatic variation background. A historical data input module inputs collected climate parameters and crop information into a data forecasting module; the data forecasting module forecasts future climate parameters and crop information according to historical climate parameters and crop information; a sensor state control module selects a wireless sensor needing to be awakened and wireless sensor awakening time according to the forecasted future climate parameters and crop information, and collects the corresponding climate parameters and crop information in real time while the wireless sensor is awakened; and an irrigation strategy generation and execution module generates an irrigation strategy, and irrigates crops in time. The irrigation requirement computation system provided by the invention, irrigation water of the crops can be effectively managed while the wireless sensor has minimal network energy consumption; the computation method not only depends on the climate parameters and crop parameters, but also comprehensively considers economic efficiency of the crops and economy bearing capacity of farmers, so that utilization efficiency of water resources can be improved, and climatic variations can be effectively tackled; and meanwhile, consumption of network resources is greatly reduced by a dormant state of the wireless sensor, and a device life is improved.

The invention relates to a desert plant remote sensing identification method using object-oriented multi-source information fusion. The method comprises the following five units: a large-area multi-source information inlay unit, an object-oriented image segmentation unit, a multi-source information fusion unit, an interpretation rule making unit and a desert plant identification unit. In the prior art, the following conditions that desert plant distribution is sparse; growth spectrum information is weak; desert plants are easily influenced by diffuse reflection; and phenomena of a mixed pixel and a same object with different spectrums are remarkable are not considered. Aiming at the above problems, the desert plant remote sensing identification method using the object-oriented multi-source information fusion is researched and developed so that problems that desert plant types and space-time distribution can not be accurately identified in fields of ecological remediation, a climatic change, a biological diversity, genetic development, poverty elimination and the like can be solved. A technical support is provided for a correlation research mechanism, a commonweal organization, an enterprise and a government. A data analysis basis is provided for exploitation, construction and management of a desert plant industry in an arid region.

The invention discloses a method for rapid diagnosis and attribution analysis of non-linearity of rainfall-runoff relationship in a watershed. Firstly, a research watershed is determined, and annual runoff of a control hydrological station and annual rainfall data of a watershed rainfall station are collected. The optimal theoretical probability distribution function is obtained. Using Archimedesfamily Copula function, the theoretical optimal two-dimensional joint distribution function of annual rainfall and annual runoff is established. The likelihood ratio statistic of the theoretical optimal two-dimensional joint distribution is obtained, and the likelihood ratio statistic value of the sample is calculated to determine the catastrophe point. It is assumed that the year before the sudden change is the natural period and the natural period is the base period, and the year after the sudden change is the period affected by human activities; establishing a rainfall runoff model and reconstructing annual runoff data; The invention compares the annual runoff data with the measured data to obtain the contribution rate of the climate change and the human activities to the runoff change.The invention improves the efficiency and accuracy of the rapid diagnosis of the rainfall-runoff relationship of the watershed.

Waveform data of a satellite-borne laser radar GLAS can be decomposed into two mixed generalized Gaussian waveforms representing a forest canopy part and a ground part of a laser spot respectively. The position of the ground is determined precisely according to crest positions of the waveform of the ground part, the position of the top of a forest canopy can be determined according to the waveform starting position of the GLAS, and finally the forest canopy height is obtained. The forest canopy height is affected by the shape and size of the spot, the gradient and the slope aspect, so that a novel tree height geometrical and physical correction model is provided. According to the model, the influences of the factors on tree height are fully considered, the influences of transmission pulse width on the tree height are also considered, and eventually the forest canopy height is extracted precisely. The GLAS data is utilized for precise extraction of the forest canopy height, the defects in forest vegetation height research through a former remote sensing method are overcome, the estimation precision of the forest canopy height is improved, and a new path is opened up for global carbon cycle and global climate change research.

The invention discloses forage for middle pig, and a preparation method thereof. The forage is prepared by the following raw materials by weight: 650-660 parts of corn, 220-230 parts of soybean meal, 80-90 parts of brans, 100-110 parts of rice bran, 3-4 parts of zeolite powder, 4-6 parts of dandelion, 30-35 parts of pomegranate peel, 20-24 parts of pomegranate leaves, 10-12 parts of radix sileris, 3-6 parts of semen boitae, 10-12 parts of radix achyranthis bidentatae, 10-12 parts of caulis spatholobi,3-4 parts of polygala root, 5-6 parts of a phagostimulant, 1-2 parts of grape wine and 1-2 parts of a forage leavening agent. The phagostimulant can improve food-calling capacity of the forage. The raw materials are treated by microorganisms, so that he forage has good palatability and strong food-calling capacity, can increase ingestion speed and food consumption of the pig, and solves the problems of anorexia and apastia which are caused by forage change and climate variation. Dandelion added in the formula can clear heat and remove toxicity, so that disease resistance of the pig is enhanced and the pig does not get sick in a growing period; and radix sileris can increase immunity of the pig, improve in-vivo healthy environment of the pig and enhance the immunity.

The present invention relates to a process and an apparatus of ocean carbon capture and storage (Ocean CCS), which can be used for carrying out carbon capture and storage of flue gas discharged from marine facilities using fossil energy such as coastal power plants and marine ships, and direct air capture (DAC). The natural engineering method are adopted in the present invention, and natural seawater is used for washing and dissolving CO2 gas for carbon capture; and natural seawater carbonate neutralization and formed bicarbonate is used for ocean storage in water column; and low head and large water flow is used to save energy. The discharged water complies with environmental regulations. The present invention provides an affordable and green effective mean for using marine ecosystems of carbon sinks and reservoirs to respond to the climate change.

The invention provides a joint response regulation method of coping with climate changes by an urban water system and an energy system. The method includes: collecting temperature information and precipitation information, and obtaining a future precipitation quantity change trend and a future temperature change trend; establishing a water resource evaluation model of a study area; establishing along-term energy-substitutable planning model of the study area; predicting electricity use quantity and water demand quantity according to the future temperature change trend, and predicting water supply quantity according to the future precipitation quantity change trend; inputting the water supply quantity and the water demand quantity into the water resource evaluation model for water resources optimization arrangement under different emission scenes; running the long-term energy-substitutable planning model according to water resource optimization arrangement results to calculate and obtain power consumption quantity of a water supply industry; and calculating and obtaining energy consumption quantity according to the electricity use quantity and the power consumption quantity of thewater supply industry. The method provides a more accurate basis for study of the urban water system and the energy system.

The invention discloses a response analysis method of irrigation water demand to changing environment based on a crop water demand mechanism. Based on the daily irrigation water demand of each crop and planting structure of the research area, the irrigation water demand and irrigation time rhythm of the research area are obtained. The change of temperature is used to reflect the change of naturalenvironment, and the change of planting structure is used to reflect the change of social environment. Two meanings of irrigation water demand and irrigation time rhythm change are to analyze the response of irrigation water demand and irrigation time rhythm to temperature change and cropping structure change in the study area. From the viewpoint of the crop water demand mechanism, the method of the invention systematically identifies the response law of the irrigation water demand and the irrigation time rhythm of the research area under the changing environment, and has the advantages of rationality and operability, provides scientific reference for farmers to plant seeds, to ensure effective irrigation, thereby ensuring food security. At the same time, the method provides the theoretical support for future research on how to adjust planting structure to adapt to climate change and alleviate the contradiction between supply and demand of water resources in the study area.

The invention discloses a method for raising sheep in desert or semidesert grassland; adult sheep are fed in canopy in a complete barn feeding way in the period of April 1st to June 30th in every year, and fed with compound feed at twice every day in the morning and the afternoon; the rest of time, the sheep can be provided with hay and drink water freely; the complete grazing period ranges from July 1st to October 31st, sheep can be completely grazed and drink water in native pasture every day; the period of November 1st to March 31st of the next year is half barn feeding season, the sheep are grazed in the morning and fed with the compound feed in a barn feeding way in the afternoon every day, and the sheep can freely graze straw, hay, and the like as well as drink water. The method for raising sheep follows the climatic change rule which is different in the four seasons and growing and maturing rule of pasture grass, so as to be a synusiologic, environment-friendly and scientific sheep raising mode, thus having important effects on the revegetation of grassland ecology vegetation, realizing the harmonious coexistence between human and nature, and increasing the income of herdsman.

The invention discloses a staging design flood derivation method in an integrated climate mode. The staging design flood derivation method comprises the steps: establishing a coupling model of a GCM and a VIC so as to predict the reservoir runoff process under the future climate change scene; through an arithmetic average method, obtaining an average state runoff process under a climate change scene; analyzing the runoff process by adopting a probability variable point method to divide a main flood period and a non-main flood period; constructing a reservoir design flood peak quantity most possible combination method calculation model through a Copula function; and taking reservoir prediction runoff data under a future climate change scene as input of a designed flood peak quantity combination method calculation model, and meanwhile, calculating the united design values of the reservoir under different recurrence period levels by considering multivariate same-frequency combination and most possible combination. The staging design flood derivation method has a strong statistical basis, and provides a new way for staged design flood calculation under a climate change scene.

The invention discloses a hydrological drought assessment method in a climatic change scene, which comprises the following steps: firstly, collecting meteorological, hydrological and topographic dataof a research area, and constructing an SWAT hydrological model database; obtaining a future meteorological sequence through a multivariable deviation correction method based on M global climate modes, and inputting the future meteorological sequence into an SWAT model to obtain M groups of future runoff sequences; calculating M groups of standardized runoff indexes, and extracting drought characteristic values through a run-length theory; calculating a key index PI influencing the regional drought, taking the key index PI as a covariable, and constructing a two-variable hydrological drought joint probability distribution function under a non-consistency condition; based on the most probable combined scene, separately solving drought duration and intensity of M groups of historical reference time periods and future time periods in different joint recurrence periods; and based on the medians of the M groups of most probable scenes, quantizing the change of the drought characteristic values, and evaluating the influence of climate change on the future hydrological drought situation of the drainage basin. The method is good in evaluation reliability, and provides a practical value fordealing with future climate disasters.

The invention provides an extreme evaluation method and system for flood events induced by heavy rainfall. According to the method, multi-source information such as extreme rainfall and flood loss iseffectively fused, quantitative analysis and accurate calculation of the rareness, occurrence intensity and breaking strength of flood disasters induced by heavy rainfall are achieved, and compared with a traditional single evaluation method only depending on rainfall, a recurrence period or a disaster index, the result is more reasonable and reliable. Practical application results show that the method has good identification capability, can comprehensively and accurately evaluate the extreme property of flood disasters induced by heavy rainfall, and provides a new approach for detection and evaluation of extreme rainfall flood disasters under climate change conditions.

The invention relates to a microgrid optimization control mode. Optimization control is based on forecast of load and power output, and the microgrid optimization control mode comprises load forecast, distributed power output forecast and wind power generation output forecast. The load forecast is based on day-ahead hourly load records, basic load, climate sensibility load and presumable random load are differentiated, linear-regression analysis is carried out on various loads in historical records to obtain a trend of historical load change, amendment is conducted on load influence according to the climatic change of the day based on the historical data, and the load change in working days and holidays as well as the load change that is likely caused by important activities are considered.

The invention discloses a basin future hydroelectric power generation capacity prediction method and system considering climate change, and belongs to the field of hydrological forecasting and power generation scheduling crossover, and the method comprises the steps: predicting basin future rainfall and air temperature scenes through the combination of GCMs forecasting factors and a statistical downscaling model; collecting historical runoff data, inputting basin historical meteorological data and the historical runoff data into the VIC hydrological model, calibrating and checking model parameters of the VIC hydrological model to obtain a basin rainfall runoff model, and inputting predicted basin future rainfall and temperature scenes into the rainfall runoff model to obtain a basin section future runoff scene; and establishing a basin reservoir group combined power generation optimization scheduling model, inputting the basin section future runoff situation into the basin reservoir group combined power generation optimization scheduling model, and predicting the basin future hydropower generation capacity. Basin climate changes are considered, uneven basin underlying surface distribution is considered, and the problem of dimensionality disasters of large-scale reservoir group scheduling is relieved.

The invention discloses a river runoff research method, and relates to the technical field of hydrogeology. The method comprises the following steps: determining an influence factor influencing the actually measured runoff volume of the river; D; determining a research reference period and a change period; E; establishing an influence factor simulation situation route by utilizing a distributed hydrological model and a control variable mathematical method; S; selecting a corresponding hydrological model according to the simulation situation route; D; determining the simulated perpetual averagerunoff volume of the river by utilizing the influence factors and the hydrological model; D; determining the change value of the actually measured runoff volume of the river; D; determining the influence quantity of the influence factor on the river runoff according to the simulated river years of average runoff and the river actual measurement runoff change value; and determining the contribution rate of the influence factors on the actually measured river runoff of the river, wherein the contribution rate is used for judging the influence of each influence factor on the river runoff. By adopting the research method, the influence of climate change and human activities on river runoff can be accurately evaluated, and a scientific basis is provided for reasonable and effective managementof water resources.

The invention relates to a tulip anti-season cultivation technique which comprises the steps of seed ball selecting, seed ball processing, seed ball planting, refrigeration house temperature control, refrigeration house rooting, green house maintaining, flowering phase advancing-postponing control and the like. Tulips cultivated with the method are high in survival rate, trim in blooming and gorgeous and noble in flower color, influence from seasonal climate changing is avoided, the tulips with high quality can be cultivated all year round, the requirement that modern people enjoy the sight of flowers irrespective of seasons, and meanwhile the cultivation technique is a non-pollution environment-friendly technique, the grade of an environment-friendly tourism project is greatly improved, and great market development prospect is achieved.