71 results about "Ecological index" patented technology

The invention provides a large-area insect pest quantization monitoring system. The large-area insect pest quantization monitoring system is characterized by comprising the following steps: acquiring a remote sensing image with a specific wave band by adopting aircraft-mounted or satellite-mounted hyperspectral remote sensing equipment, carrying out the necessary pre-treatment on the remote sensing image, eliminating the interference and measuring errors, then extracting the spectral signature in pixel-level size scale from the remote sensing image, and substituting the spectral signature into a multi-dimensional plant parameter model to invert a plant ecological index, so that an insect pest condition of a remote sensing detection zone is quantitatively determined according to the index.

An object of the present invention is to provide a human condition detecting apparatus for highly accurately detecting a human condition, without any burden. A human condition detecting apparatus of the present invention is characterized by comprising a first stimulus applying device 10 for applying a stimulus for acquisition of reference information to a subject; a second stimulus applying device 10 for applying a stimulus for acquisition of condition information to the subject; a stimulus reaction detecting device 20 for detecting reactions of the subject to the stimulus applied by the first stimulus applying device 10 and to the stimulus applied by the second stimulus applying device 10, by an ecological index of the subject; and a condition determining device 41 for determining a condition of the subject, based on a comparison between the reaction of the subject to the stimulus applied by the first stimulus applying device 10 and the reaction of the subject to the stimulus applied by the second stimulus applying device 10.

A method for evaluating ecological restoration of a city watercourse is characterized by comprising the following steps that (A) a city watercourse ecological restoration evaluating system is established to be of a three-level evaluation system structure, the ecological restoration evaluating system serves as a large system, a second-level index serves as a rule layer is divided into three sub-systems of watercourse water quality condition, ecological system health and ecological landscape suitable degree, and third-level indexes represent a plurality of specific indexes and can directly reflect the total situation of each sub-system; (B) an evaluation step is executed: (B1) the watercourse to be evaluated is determined, and a sampling station is designed according to the length of the watercourse; (B2) sample acquisition and analysis are performed including (B21) physical and chemical indexes of water quality, (B22) ecological index (B23) ecological landscape suitable degree index; (B3) evaluation results are analyzed; (B4) the ecological health situation of the watercourse is judged. The method has the important significance on scientific evaluation on the ecological treatment effect of the watercourse and consolidation of ecological treatment results of the watercourse and is suitable for application in evaluation on the ecological restoration of the city watercourse.

The invention discloses a health evaluation method for a river mouth and bay ecological system. The method comprises the following steps of establishing a river mouth and bay ecological environment evaluation index system, determining an ecological environment evaluation index and weights of evaluation factors thereof, detecting and collecting the data of each evaluation factor of the ecological environment evaluation index and computing an index evaluation value, computing a water environment ecological index evaluation value of each station, computing a sea area evaluation value, and computing a health index of the river mouth and bay ecological system. An evaluation result obtained by using the evaluation method of the invention can basically reflect the pressure on an offshore area ecological system caused by relatively large artificial disturbances, including discharge to the sea, artificial breeding and petroleum pollutions, meanwhile can also reflect main pollution risk factors, and also plays a certain forewarning role with respect to potential pollutant factors, thus having a certain reference value and significance for reference, and being capable of providing scientific bases and guidance information to future ecological protection and management of the river mouth and bay ecological system.

The invention relates to an urban cellular automaton scene simulation method, a terminal device and a storage medium. The method comprises the following steps of: S100, collecting an ecological environment data of a research area; S200, performing ecological environment evaluation according to the collected ecological environment data, and obtaining an ecological index as an ecological constraintfactor; S300, establishing an ecological constraint based on an ordered weighted average in the urban cellular automaton according to the ecological constraint factor; and S400, establishing a urban cellular automaton model based on a logistic regression according to the ecological constraint, so as to simulate a city space dynamic evolution process. The urban cellular automaton scene simulation method couples an urban model of a binary logistic regression, the ordered weighted average and the cellular automaton, which is beneficial to identify the region with the most contradiction and stressbetween the urban development and the ecological constraints and give a reasonable solution, and is also beneficial to find trade-offs between the development and the protection for urban managementdepartments.

The invention discloses an evaluation method for ecosystem health of coastal waters, which comprises the following steps: constructing an ecological environment evaluation index system of the coastal waters; determining the ecological environment evaluation indexes and the weights of evaluation factors thereof; detecting and collecting the data of each evaluation factor of the ecological environment evaluation index and calculating the evaluation values of the indexes; calculating the evaluation values of the water environment ecological indexes of each station; calculating the evaluation values of the costal waters; and calculating the ecosystem health indexes of coastal waters. The evaluation results obtained by the evaluation method proposed by this invention can basically reflect the large man-made disturbances, such as the pollution caused by sewage entering into the sea, artificial breeding, petroleum pollution and so on, which cause the pressure on the ecological system of the coastal waters, and the main pollution risk factors, and provides a certain role in early-stage warning for the potential pollutant factor. The invention has certain reference value and reference significance, which can provide scientific basis and guidance information for the ecological protection and management of the coastal water ecosystem in the future.

The invention provides a method for store site selection. The method comprises the steps: carrying out the evaluation of each candidate geographic block in a plurality of candidate geographic blocks based on the revenue-related attributes of the candidate geographic block, and enabling the revenue-related attributes to at least comprise a commercial ecological index and a passenger flow index; anddetermining one or more target store addresses at least partially based on the evaluation result of each candidate geographic block in the plurality of candidate geographic blocks. By utilizing the method, the candidate geographic blocks are evaluated based on the revenue related attributes of the candidate geographic blocks, so that the accuracy and speed of site selection decision can be improved.

The invention relates to a method for constructing a new remote sensing ecological index based on a spatial geometric principle. The method comprises the steps of: firstly obtaining a two-dimensionalspace scattergram of the red light band and the near infrared band by obtaining remote sensing data of a research area including a red light band, a near infrared band and a thermal infrared band andperforming preprocessing; obtaining a line equation of the soil in the research area and an expression of a D point indicating the most arid bare soil by using the scattergram; then calculating vertical vegetation index PVI, soil moisture index SMI and surface temperature LST; then constructing a three-dimensional feature space by taking the D point as the origin, the vertical vegetation index PVIas the x-axis, the soil moisture index SMI as the y-axis, and the surface temperature LST as the z-axis; and finally, calculating the remote sensing ecological index VMTEI based on vegetation-soil moisture-temperature. The method not only considers a plurality of indicators related to ecology, but also eliminates the irrationality of weighted integration of multiple indicators by introducing thespatial geometric principle, thereby effectively improving the physical meaning of the ecological index VMTEI.

The present invention relates to a sponge urban ecological index evaluation method based on a hierarchy matter element extension method. A sponge urban ecological index is urban rainwater control and utilization degree. According to the sponge urban ecological index evaluation method based on the hierarchy matter element extension method, factors influencing the sponge urban ecological index are provided from two aspects of urban ecological control ability and ecological utilization ability; from an actually feasible angle of the engineering, each factor influencing the urban ecological control ability and the ecological utilization ability is analyzed comprehensively, and the basis of the evaluation method, namely a sponge urban ecological index evaluation index system, is established. On the basis of the evaluation method, an improved hierarchy matter element extension method is applied so as to obtain the sponge urban ecological index. According to the invention, the sponge urban ecological index is provided; the evaluation method for the index is established; the evaluation method based on the characteristics of the index is improved; and provides technical support is provided for the judgment of the rainwater control and utilization degree.

The invention discloses a cooperative value evaluation method for reservoir scheduling and downstream river ecological environment protection, and the method comprises the steps of carrying out the improvement of an initial method through employing an Eckhardt filtering technology before reservoir ecological scheduling, and generating a daily-scale ecological base flow; taking power generation benefits and ecological indexes of the hydropower station as different targets, and building a multi-target optimization model comprehensively considering power generation, ecology and shipping processes; meanwhile, considering a cooperation mode between a hydropower station power generation target and an ecological target, and setting a cooperation scheduling scene of two subject alliances; and evaluating the ecological value of the complex reservoir system for cooperative ecological scheduling on the downstream riverway through the optimal calculation result among different scenes and the cooperative ecological value under different weight conditions. The cooperative value evaluation model is established by evaluating the ecological value of cooperative ecological scheduling carried out bythe complex reservoir system on the downstream river channel, and a multi-dimensional theoretical basis is provided for reservoir scheduling.

The invention provides an establishing method for a three-dimensional model of a vine cane plant. The establishing method comprises the following specific steps: acquiring morphological feature information of vine, petiole and leaves of the vine cane plant; dividing the leaves into three insertion position zones according to the insertion position of the petiole on the vine; selecting a plurality of leaves from each insertion position zone and carrying out three-dimensional scanning on the selected leaves to establish a three-dimensional model for the leaves of the vine cane plant; establishing a three-dimensional model for the vine and petiole of the vine cane plant; and establishing an overall shape three-dimensional model for the vine cane plant. The establishing method provided by the invention greatly reduces the workload for data acquisition while causing the finally established three-dimensional model of the plant to have higher accuracy and precision, and so a simple and practical basic data preparation method is provided for such agricultural researches as crop plant-type analysis, calculation for physiological and ecological index of plant canopy, and the like.

The invention discloses a subdivision method coupling watershed aquatic ecological function zoning with ecological management. Through aquatic ecological indexes and spatial element indexes, and on the basis of the three-level aquatic ecological function area, division of an aquatic ecological environment function management area is performed in combination with administrative division, development zone distribution, land use, important protected areas and distribution of important species, and the area division indexes are dispersed and clustered spatially on the basis of a division functional unit, and the coupling coordination degree of ecological management indexes and aquatic ecological indexes is tested to form a subdivision map of an aquatic ecological environment functional management area which is feasible for management.

The invention belongs to the field of horticulture, and particularly relates to a method for identifying and evaluating cold resistance of ramie germplasm resources. In order to evaluate the cold resistance of ramie rapidly, accurately and easily, researchers screen multiple indexes such as physiological indexes, ecological indexes and morphological indexes, but it is found in research that most of the indexes have no relationship with plant mortality, and direct evaluation on the cold resistance of the ramie through the indexes is difficult. According to the method for identifying and evaluating the cold resistance of the ramie germplasm resources, operation is easy, evaluation and classification data are stable and reliable, and the defect that ramie germplasm can not be identified accurately under the natural environment is overcome; time limit does not exist, and ramie germplasm cold resistance identification can be conducted from late February to mid October; the evaluation and classification of the cold resistance on the ramie germplasm resources are facilitated, and screening of ramie germplasm which has the cold resistance and selection of ramie varieties which have the cold resistance are facilitated.

The invention discloses a method for remediating heavy metal polluted sediment by use of a modified zeolite molecular sieve and a farmland soil improvement method. The remediating method comprises the following steps: mixing a modified zeolite molecular sieve with heavy metal polluted sediment; and performing a fixing-stabilizing reaction of the obtained mixture to finish remediation of the heavy metal polluted sediment, wherein the modified zeolite molecular sieve is prepared by modifying a zeolite molecular sieve with chitosan. The improvement method comprises the following step: mixing farmland soil with the remediated sediment to finish improvement of the farmland soil. According to the method, the heavy metal polluted sediment is remediated by use of the modified zeolite molecular sieve, the occurrence form of heavy metals in sediment is changed, and the harm of heavy metals to the aquatic biological environment is reduced; and moreover, the remediated sediment returns to the land for soil improvement, the soil fertility and ecological index can be improved, and an aim of resource recycling is achieved while polluted sediment is remediated.

The invention relates to a multi-ecological factor integrated arid region ecological environment remote sensing monitoring method, and belongs to the technical field of remote sensing geoscience application. On the basis of optical remote sensing images, starting from the angle of coupling ecological system components, on the basis of considering green degree (NDVI), humidity (Wet), dryness (NDBSI) and heat (LST) ecological factors, an enhanced remote sensing ecological index (ERSEI) is constructed in combination with a developed comprehensive salinity index (CSI) and water network density (WND) remote sensing estimation model, and remote sensing comprehensive evaluation of the ecological environment of the arid region is achieved through the index. The ERSEI utilizes principal component analysis to design a principal component contribution rate autonomous weight distribution mode, comprehensive characterization is carried out on each ecological factor, and then the ecological environment quality is quantitatively measured. The method considers the main composition of an ecological system and the characteristics of the arid region environment, can automatically, quickly and efficiently integrate the quality thematic data of the large-scale ecological environment of the earth surface, and provides a new method for the normalized monitoring of the ecological environment of the arid region.

The invention discloses an energy conservation and emission reduction and macroscopic information management system, which relates to the technical field of energy conservation and emission reduction,and comprises a comprehensive index module for displaying the unit GDP energy consumption reduction rate, the total energy consumption amount, the urban production total value, the unit urban production total value energy consumption and the emission reduction index of a city; a demonstration project module which is used for displaying six-generation projects and typical demonstration projects ofa city; a peak value prediction module which is used for displaying the annual carbon emission change trends of the city under different situations; a path analysis module which is used for displaying the predicted carbon reduction amount and the predicted energy saving amount of the city in different key fields; a behavior measure module which is used for displaying behavior measures of the cityin different key fields; and a forestry carbon sink module which is used for displaying project layout and basic information of a plurality of ecological projects and displaying various ecological indexes of a city year. The system provides more scientific and reasonable decision basis for urban managers, and comprehensively improves the urban low-carbon construction and management capability.

The invention relates to an ecological index efficiency evaluation method based on network analysis. The method comprises the steps that a, according to the objective level and the content of a system to be evaluated, a to-be-evaluated ecological index system with a level structure is constructed; b, through literature research and expert consultation, a theoretical perfect standard ecological index system level network is constructed, and the index weight is calculated; c, a relevance network between the operation layers of two index systems is constructed; d, according to the relevance network, the index weight of the to-be-evaluated index system is calculated; and e, the coverage degree and the characterization degree of the to-be-evaluated index system are calculated. According to the invention, the science connection in the to-be-evaluated index system is explicated from the three aspects of the relevance, the coverage degree and the characterization degree; the application efficiency of an operation index is improved; the method can be applied to the efficiency evaluation of an index system related to ecological construction, such as the evaluation of an ecological province construction index system and other problems; and the method can be applied to the efficiency evaluation of other similar complex index systems, such as regional society, economic index evaluation and the like.

The invention discloses an ecological flax yarn and a manufacturing process thereof. The ecological flax yarn is made of organic ramie as a raw material with particularly high main technical indexes; the manufacturing process of the ecological flax yarn comprises the following steps: manufacturing the organic ramie into ramie stripes; drawing and joining by five or more drawing procedures, then drawing, winding and twisting to form rove; and boiling, bleaching the rove, then spinning to spun yarn; drying and coning to form yarn cones. The boiling and bleaching agent of the ecological flax rove consists of a biological assistant L, caustic soda NaOH, soda Na2CO3, sodium silicate Na2SiO3, hydrogen peroxide solution H2O2 and a biological assistant D; the flax yarn has the beneficial effects that the flax yarn has ecological indexes meeting Technical Requirement for Environmental Textile, and the ecological flax yarn has low hairiness, good yarn evenness, high flexibility, softness and luster.

The invention provides an ecological index prediction method based on the mangrove forest ecological big data, which mainly comprises the following steps of 1) determining the ecological protection area of the mangrove forest; (2) establishing a mangrove forest ecological index data set; 3) preprocessing the data set T and the data set Y; 4) performing linearization processing on the data set T toobtain a linear training set S; 5) establishing a mangrove forest ecological index prediction model; 6) by utilizing the mangrove forest ecological index prediction model, the linear training set S and the mangrove forest ecological health evaluation grade judgment table, predicting the future ecological health condition of the mangrove forest in the mangrove forest ecological protection area. According to the method, the predicted important ecological indexes are utilized, and a mangrove forest ecological health evaluation grade judgment table is combined, so that the ecological health condition of the mangrove forest can be accurately predicted.

The invention discloses a method for planting submerged vegetation Vallisneria denseserrulata in a medium-subsidence wetland of a coal mining subsidence area. The method comprises steps of selecting proper Vallisneria denseserrulata seedlings and preserving the same as needed, planting the Vallisneria denseserrulata seedlings in a pre-processed engineering area in the medium-subsidence wetland ofa coal mining subsidence area in specific time and according to a certain interval and by corresponding seedling clips, monitoring ecological indexes of Vallisneria denseserrulata plant clusters in the engineering area after the plantation, and managing a water level during a growth period. With the plantation of highly-effective and primary producer submerged vegetation, an ecological service function of an aquatic ecological system in the medium-subsidence wetland, and utilization rate of the medium-subsidence wetland can be improved.

The invention provides a water and soil conservation ecological service function evaluation method. The method comprises the steps of: obtaining basic ecological indexes related to the water and soilconservation measure ecological service function of a drainage basin, and assigning a weight to each basic ecological index; and scoring the value of each basic ecological index, wherein the basic ecological indexes comprise indexes related to sediment loss, indexes related to runoff regulation and control in rainy seasons and indexes related to runoff regulation and control in dry seasons, and optionally comprise indexes related to forest product provision. The method is particularly suitable for evaluating the water and soil conservation measure ecological service function of the southern red soil hilly area small watershed, and therefore the current situation of the water and soil conservation measure ecological service function of the small watershed can be evaluated according to actual basic ecological indexes.

The invention discloses a water-area ecological information monitoring system. The water-area ecological information monitoring system comprises an industrial control computer, a PLC, a relay module,an anchor motor, a holder motor, a depth sensor, a camera, a holder and a lighting lamp, wherein the industrial control computer is connected with the PLC, the PLC is connected with the relay module,the relay module is connected with the anchor motor arranged on a floating platform, the holder motor, the holder, the lighting lamp, the camera and the depth sensor are arranged on the floating platform, the holder motor drives the floating platform to move, the holder motor drives to holder to move up and down and rotate, the camera and the lighting lamp are arranged on the holder, the PLC is connected with a display screen, and an ultrasonic sensor is installed on the floating platform. According to the water-area ecological information monitoring system in the technical scheme, from the point of regional ecological health, ecological indexes such as the vegetation coverage and water quality pollution and repairing under water areas are monitored for a long time in real time, a regionalecological quality evaluation system is established, the condition of the recovery effect of the basin water ecological environment before and after engineering construction and during operation andmaintenance is reflected accordingly, and the basis is provided for ecological improvement engineering performance evaluation.

The invention relates to a method for rapidly preparing organic fertilizer. By means of a near-critical water technology, no leavening agent or catalyst or anti-corrosion agent is used, the functionsof acid catalysis and base catalysis of livestock excrement and water are only utilized, the fertilizer is prepared from the livestock excrement and straw, the product is acidic and contains a large mount of nitrogen, phosphorus, potassium, organic nutritional ingredients and biomass carbon, centrifugal dehumidification is performed, a dry basis meets the requirements of NY525-2012 organic fertilizer and GB / T23349-2009 ecological indexes of arsenic, cadmium, lead, chromium and mercury in fertilizer, and the product serves as the organic fertilizer. In this way, the livestock excrement can become thoroughly decomposed rapidly, the livestock excrement can be rapidly converted, the volume of the water storage tank is reduced, a fermenting tank is canceled, the pig house building cost and occupied area are lowered, the economical efficiency is fully embodied, and the environment problem can be solved; meanwhile, both production and income are increased for crops, the huge economic benefitis brought, and meanwhile the method has the important ecological benefit and social benefit.

The invention relates to a tulip bulb dormancy method. According to the method, differentiation and forming of organs such as bulb dormancy flower buds are observed in two climate-type environments of a tulip source area, change of the temperature, the relative humidity, the illumination, diseases and the like is controlled, and the change rule that the temperature of bulb dormancy flower bud organ differentiation and forming is in inversely proportional relationship with the needed time is obtained; the optimum temperature of tulip bulbs in the period of dormancy is obtained, and the upper limit temperature and the lower limit temperature of the optimum temperature are also obtained; corresponding ecological indexes are provided for tulip precocious flowering forcing culture, delaying flowering forcing culture, low-temperature semi-arid area seedball production and bulb dormancy of vast subtropical zones in China. The method is easy, safe and reliable to operate. A new approach is provided for tulip bulb dormancy flower bud organ differentiation and forming.

The invention provides a forest ecological environment condition evaluation method based on a remote sensing technology, and belongs to the field of environment monitoring. According to the method, a forest remote sensing ecological index system is constructed, and a remote sensing ecological index method is adopted to evaluate the ecological environment condition of a forest area. The following steps are included: firstly, selecting indexes capable of representing the forest ecological environment condition to construct the forest remote sensing ecological index system; then, referring to the inversion model of each existing index, establishing an inversion model suitable for evaluating the forest region, and eliminating the dimension inconsistency of each inversion result through a normalization method; and finally, obtaining the RSEI for evaluating the forest region through a spatial principal component analysis method, and evaluating and analyzing the ecological environment condition of the forest. According to the method, the ecological environment condition of the forest region can be simply and visually obtained, the method has certain universality, scientific basis and technical guidance can be provided for protection, restoration and management of the forest region, and development of a regional scale remote sensing ecological index universality model is promoted.

The invention relates to a four-dimensional remote sensing ecological index construction method based on a spatial geometry principle. Four indexes including a vertical vegetation index PVI representing vegetation, an improved earth surface drought index MPDI representing drought degree, an earth surface drying index NDSI representing earth surface drying degree and an earth surface temperature index LST representing earth surface temperature are coupled; a space geometry principle is introduced to construct a four-dimensional space respectively representing four elements of greenness, drought, drying degree and temperature which have relatively great influence on ecology; and then a comprehensive remote sensing ecological index SGEI is calculated. The SGEI contains all information contents of the four indexes, and the influence of the four indexes on the SGEI is determined according to the property of the data, so that certain objectivity is achieved, and the physical significance and rationality of the SGEI are effectively improved. The SGEI can be used for rapidly monitoring and evaluating regional ecological conditions.

The invention relates to the technical field of environment detection, in particular to a coastal zone resource environment bearing capacity evaluation method based on ecological system functions. The method comprises the following steps: acquiring water resource data, soil data, topographic data and covering data of a target area; obtaining an index factor according to the water resource data, the soil data, the topographic data and a corresponding index factor algorithm; according to the index factor and a soil conservation index algorithm, obtaining a soil conservation index of the target area; according to the coating data and a preset corresponding relation between the coating and the carbon density, obtaining the carbon density of the target area, and according to the carbon density and a carbon sequestration index algorithm, obtaining a carbon sequestration index of the target area; according to the water resource data, the soil data, the covering data and a corresponding ecological index algorithm, obtaining an ecological index of the target area; and obtaining an ecological service index of the target area according to the processed soil retention amount index, the carbon sequestration amount index, the ecological index and an ecological service index algorithm.

The invention discloses a regional ecological security pattern construction method and system based on geographic space big data, and the method comprises the steps: determining the relation between a plurality of environment variables in a research region and a preset security pattern, and obtaining the ecological environment space big data of the research region, calculating a weight value of each environment variable in ecological environment space big data on the basis of a relationship between a plurality of environment variables in a research area and a preset security pattern, constructing a security pattern prediction model according to the weight value of each environment variable, and obtaining a plurality of ecological indexes in the research area; and constructing a plurality of target security pattern models of the research area by using the security pattern prediction model according to the plurality of ecological indexes, and outputting a corresponding security pattern distribution diagram by using each target security pattern model. The researcher can obtain the safety pattern distribution diagrams corresponding to different ecological indexes according to different safety pattern models, and the experience feeling of the researcher is improved.