308 results about "Contamination control" patented technology

A watershed pollution control measures optimization method employing response surface methodology coupled with a genetic algorithm, the method relating to the cross-disciplinary field of environmental engineering, environmental system simulation and prediction technology, and computer technology. The present invention solves the problem of low optimization efficiency in existing optimization methods. The invention comprises: by using known data, establishing a geographic database for an area; by using the geographic database, calculating a single load of each pollution source, and accordingly calculating the load reduction amount of each pollution source in a single control measure scenario; calculating the total nitrogen pollution load reduction rate and the total phosphorus pollution load reduction rate, and computing the total economic benefit in the single control measure scenario; setting the maximization of the economic benefit, total nitrogen load reduction rate, and total phosphorus load reduction rate as objectives, and establishing a regression function by adopting response surface methodology; and by adopting an NSGA-II genetic algorithm, performing multi-objective optimization on the regression function, and selecting an optimal management measure for a watershed to undergo pollution control. The present invention is suitable for optimizing pollution control measures for a watershed.

The invention relates to the technical field of atmospheric environment monitoring, in particular to an atmospheric pollution source tracking and early warning system based on deep learning, which comprises a multi-source data acquisition layer for acquiring multi-dimensional data of atmospheric pollutant concentration, weather, geography and the like through multi-element equipment such as satellite remote sensing and ground sensors; the data preprocessing layer completes data cleaning by using a statistical method and a machine learning algorithm, and realizes heterogeneous data standardization processing through feature extraction, multi-source integration and space-time alignment, and the deep learning model layer realizes heterogeneous data standardization processing by means of a space-time convolutional neural network, a graph neural network and a long-short term memory network in combination with a space-time attention mechanism. The traceability analysis layer is combined with a back diffusion algorithm and a geographic information system to position a pollution source and generate a thermodynamic diagram. And the early warning decision-making layer sets threshold early warning through transfer learning of the adaptive area, and generates an optimal pollution control scheme based on reinforcement learning.

The invention discloses a non-point source pollution and waterlogging collaborative four-pre management and control system based on short temporary rainfall forecast, which relates to the technical field of urban water environment management and comprises a short temporary rainfall forecast module, a non-point source pollution control module, a waterlogging management module, a four-pre management and control platform, an intelligent decision support system, a real-time monitoring and feedback system and a water ecological management module. By integrating meteorological monitoring, hydrological monitoring and environment monitoring data, high-precision short and temporary rainfall forecast is realized by using a machine learning algorithm, the operation strategies of the intelligent catch basin and the initial rain storage pond are dynamically adjusted to control non-point source pollution, and meanwhile, the waterlogging risk is predicted and preventive measures are taken in combination with real-time hydrological data. According to the technology, integrated management of forecasting, early warning, rehearsal and plans is achieved through a four-pre-management and control platform, an intelligent decision support system, a real-time monitoring and feedback system and a water ecological management module under the sponge city design concept are used in an auxiliary mode, and the efficiency and effect of urban water environment management are comprehensively improved.

The invention discloses a lake eutrophication biological treatment system and a dynamic method based on multi-dimensional cooperative regulation and control. Exogenous pollution control, layered biological manipulation and artificial intelligence dynamic feedback are fused, and the method is particularly suitable for moderate eutrophication water bodies with nitrogen and phosphorus exogenous input not completely cut off. According to the gradient filling structure, macromolecular organic matters are intercepted by using shallow coarse particles, and middle / fine particles specially attack phosphate adsorption, so that graded removal of pollutants is realized; fish ingestion and benthic organism disturbance have a synergistic effect, secondary pollution of aquatic plant litter degradation to a water body is reduced, transfer of nitrogen and phosphorus from the water body and plant litters to animal objects is promoted, and the coupled system can reduce the phosphorus release rate of bottom mud, improve the stability of FePO4 precipitation and synchronously degrade sulfides and organic matters in the bottom mud; electric shock damage to benthic organisms is avoided through the micro-current intensity, sulfur metabolites can be used as a nutrient source of submerged plants, and biological self-purification and resource utilization of eutrophic water are achieved.

The invention discloses an overflow pollution control storage pond evaluation method based on full-life-cycle carbon emission. The method comprises the following steps: 1, selecting an intercepting-type combined-system overflow port; 2, sampling overflow sewage under typical rainfall according to time periods to obtain the water volume and quality change rule of the overflow sewage; 3, establishing an overflow pollution model; 4, calibrating and verifying the overflow pollution model; 5, performing simulation analysis on overflow pollution load control effects of the regulation and storage tank under different layouts, designs and operation schemes by using the overflow pollution model; 6, on the basis of the emission reduction effect of the regulation and storage pool on the overflow pollution load, the carbon emission amount of the regulation and storage pool in the operation process under the rainfall intensity in different recurrence periods is calculated; 7, the total carbon emission amount of the whole life cycle of the regulation and storage pond is obtained; and 8, by taking the overflow pollution load reduction amount as a denominator, calculating to obtain the reduction unit overflow pollution load carbon emission intensity. According to the method, the efficiency of the CSO regulation and storage tank is evaluated from the aspect of carbon emission, and support is provided for scheme optimization of the regulation and storage tank.

The invention discloses a method and system for evaluating the influence of long-term fertilization on rice field soil heavy metals, and the method comprises the steps: obtaining rice field soil data through a sensor, and obtaining a standardized soil physicochemical property data set and a heavy metal content data set; according to the standardized soil physicochemical property data set and the heavy metal content data set, obtaining a feature vector set reflecting correlation between soil physicochemical properties and heavy metal behaviors; aiming at the feature vector set, obtaining a prediction model for representing the influence of the fertilization mode on the heavy metal mobility; if the heavy metal effective state content output by the prediction model exceeds a preset bioavailability threshold value, classifying the soil physicochemical property data set, judging the influence weight of the soil pH value and the organic matter content on the cadmium mobility, and obtaining the classified soil environment risk grade; and according to the classified soil environment risk levels, obtaining comprehensive rice field soil heavy metal pollution evaluation indexes. The pertinence and effectiveness of pollution control are remarkably improved.

The invention provides an intelligent maintenance cleaning device for nanofiltration membrane pollution control and a method thereof, and solves the problems of low maintenance cleaning efficiency, poor adaptability of cleaning parameters and pollution conditions and frequent chemical cleaning of an existing nanofiltration system. Belongs to the technical field of membrane pollution control. According to the invention, the filtering system, the cleaning system and the intelligent decision-making module are integrally designed, so that the closed-loop control of the whole process of real-time monitoring, pollution identification, intelligent decision-making and automatic cleaning of the running state of the nanofiltration membrane is realized. The cleaning effect gating memory neural network model is used as a membrane pollution prediction model, membrane pollution can be accurately predicted, and key cleaning nodes can be identified. The optimal membrane cleaning parameters are generated by adopting a non-dominated sorting genetic algorithm, the usage amount of chemical agents and the cleaning cost are reduced, and the membrane pollution control effect is improved. The invention is applicable to the field of drinking water treatment.

The invention relates to the technical field of data processing, and discloses a rainfall runoff pollution early warning system and method.The system comprises a sample analysis module, a pollutant model construction module, a water quality prediction module, an early warning signal generation module and a pollution control module; carrying out physicochemical property analysis on the pavement sediment sample and the rainfall runoff sample of the service area to obtain pollutant concentration data and pollutant composition data; constructing a pollutant migration and transformation model based on dynamic changes of pollutants in the pollutant concentration data and the pollutant composition data in the runoff process; hydrology and hydrodynamic force of the service area are predicted based on the pollutant migration and transformation model, and runoff water quality change trends under different rainfall scenes are obtained; when the water quality prediction index in the flow water quality change trend exceeds a pollution early warning threshold value, a pollution early warning signal is generated; the pollution early warning signal is pushed to a management terminal, and a corresponding runoff pollution control measure is triggered; the rainfall runoff pollution early warning method can improve the accuracy of rainfall runoff pollution early warning.

The invention provides a cyanide-containing wastewater resource recovery and cyclic utilization method, and belongs to the technical field of environmental protection and water treatment. According to the method, firstly, copper is collected through sulfuration under the weak acid condition with the pH being 5-6, so that a copper-cyanogen complex ([Cu (CN) 43-]) in wastewater is converted into a mixed material of copper sulfide (CuS) and cuprous cyanide (CuCN), and primary recovery of copper is achieved; and then, adding a pH regulator 2 to control the pH of the reaction system to be 9-11, adding a separation agent to control the ORP of the reaction system to be-400mV to-200mV, and carrying out a separation reaction. In the process, cuprous cyanide reacts with free cyanide (CN <->) to generate a soluble copper-cyanogen complex, and copper sulfide is retained, so that cuprous cyanide is accurately separated from the copper-containing material, the content of cyanide in the material is reduced, and the obtained copper-containing material meets the requirements of industrial product quality standards and pollution control standards; the problems that in the prior art, the cyanide content in the copper-containing material obtained by recycling copper from the cyanide-containing wastewater exceeds the standard, and the environmental risk is high in storage, transportation and comprehensive utilization are solved.

The invention relates to a method for reducing nitrate nitrogen in wastewater into ammonia nitrogen by using a double-bacterium inoculant and application of the double-bacterium inoculant. The method comprises the following steps: respectively carrying out expanding culture, washing and resuspending on electron donating bacteria and dissimilatory nitrate reduction ammonium-producing bacteria, and then mixing in a co-culture medium for co-culture to form a double-bacteria microbial inoculum; the co-culture medium containing the double-bacterium agent is introduced into wastewater to be treated, and nitrate nitrogen in the wastewater is reduced into ammonia nitrogen in an anaerobic environment. According to the method, nitrate nitrogen in the wastewater can be reduced and converted into energy storage substances with high energy density, the problems of low utilization rate of ammonium nitrogen fertilizer and non-point source pollution can be solved, and the method has important value for nitrogen pollution control and agricultural green sustainable development.

The invention relates to the technical field of environmental monitoring and pollution control, in particular to a dust and noise online control system, which comprises a monitoring module, which is used for acquiring data of dust concentration C, particle size D, dust raising position P, noise level N and frequency F through video monitoring equipment and various sensors; the data communication module is responsible for transmitting the data to the central control system; the central control system constructs a fuzzy control rule base according to the dust-related data, adjusts parameters of dust removal equipment in combination with a PID algorithm, and controls noise reduction equipment by adopting an adaptive filtering algorithm according to noise data; the risk assessment and early warning optimization module uses a risk assessment model to calculate a risk grade R and performs graded early warning; the governance execution module comprises a dust hood, a sprayer and noise reduction equipment and carries out dust and noise governance according to an alarm, and the air volume regulation module regulates the air volume of a dust suction port through a neural network algorithm by means of feedback of a sensor on a regulation valve; the invention aims to solve the problems of effective monitoring, precise treatment and scientific early warning of dust and noise.

The invention discloses an intelligent intercepting well optimization control method based on overflow pollution load prediction, and the method comprises the following steps: S1, building a drainage pipe network model according to the data of a pipe network communicated with all intercepting wells, and completing the parameter calibration of hydrology and water quality in rainy days; s2, forming a control strategy scheme library containing all the intercepting wells; s3, a machine learning model is used for training, and the machine learning model of overflow pollution loads and decision variables under different rainfall conditions is established; s4, constructing an overflow pollution load value machine learning model under different rainfall conditions, and predicting an overflow pollution load minimum value under different rainfall sessions; and S5, based on the minimum value of the overflow pollution load, predicting the optimal control strategy of the control variables of all the intercepting wells by using the machine learning model of the overflow pollution load and the decision variable under different rainfall conditions. By optimizing the control strategy of the catch basin, overflow pollution control of the drainage system is achieved, and the operation efficiency of a pipe network in rainy days is improved.

The invention provides a bacteriostatic proppant technology based on a palladium oxide-reduced graphene oxide composite material, aiming at the problem of hydrogen loss caused by microbial activity in a hydrogen storage bank of an exhausted gas reservoir. A PdO (at) rGO composite material functionally modified by lead ions (Pb < 2 + >) is loaded on the surface of a porous ceramsite carrier to form an adsorption-inactivation-blocking synergistic antibacterial network; precise laying of the proppant in a crack network is achieved through the end sand removal technology, hydrogen consumption is reduced, and an efficient, economical and environment-compatible innovative solution is provided for biological pollution control of the underground hydrogen storage library.

The invention relates to a calcium-based difunctional composite material and a preparation method and application thereof, the calcium-based difunctional composite material is applied to pollution control in a sludge-low-rank coal co-pyrolysis process, the calcium-based difunctional composite material is composed of Ca2Fe2O5 and an adsorptive material, and the mass ratio of Ca2Fe2O5 to the adsorptive material is 1: 1. According to the calcium-based bifunctional composite material, the fixation rate of sulfur in pyrolytic carbon is remarkably increased, conversion of heavy metal to a more stable form is facilitated, and the leaching capacity and potential ecological risks of the heavy metal are remarkably reduced.

The invention discloses a preparation method of a catalytic oxidation peroxyacetic acid self-release oxygen membrane and application thereof in the field of water treatment, and belongs to the technical field of water pollution control. The invention aims to solve the problems of unbalanced release rate and oxidation activity, self-decomposition loss of an oxidant, secondary pollution risk, and insufficient dynamic cleaning and long-acting anti-pollution capability in the traditional oxygen release technology. According to the invention, peroxyacetic acid is taken as an oxidizing agent, and a self-oxygen-release membrane for catalytic oxidation of peroxyacetic acid is taken as a catalyst, so that an oxygen-release membrane system is constructed, the water treatment efficiency and membrane performance are remarkably improved, the operation energy consumption of the system is greatly reduced, and an innovative solution is provided for development of an intelligent water treatment technology. The method has wide application scenarios, and is suitable for different water quality and treatment requirements. The high-efficiency degradation capability on pollutants such as antibiotics and endocrine pollutants is realized, the high-efficiency interception on complex pollutants such as humic acid, protein and colloid is realized, and the high-efficiency degradation capability is suitable for water supply sources, municipal sewage, industrial wastewater and reclaimed water treatment scenes.

The invention discloses an overflow pollution control method and system. The method comprises the following steps that firstly, water volume data and water quality data of all sewage branch pipes are collected, water volume data and water quality data of all sewage secondary main pipes located on the downstream portions of the sewage branch pipes are collected, and water volume data and water quality data of main pipes located on the downstream portions of the sewage secondary main pipes are collected; then, whether the running state of the current pipe network system is abnormal or not is judged based on the water volume data of all the sewage branch pipes, all the sewage secondary main pipes and the main pipe and different levels of water quality data of upstream and downstream communication; if the running state of the current pipe network system is abnormal, further determining an early warning type and an abnormal source; and finally, allocating the water quantity of the sewage treatment plant based on the early warning type of the current pipe network system. According to the method and the system, the abnormal monitoring point position can be positioned more accurately, and the water volume allocation of the sewage treatment plant is realized in time based on the early warning type and the abnormal source, so that the overflow load is reduced.

The invention discloses a pollution emission monitoring and early warning method based on physical prior and information value driving, and relates to the technical field of environment monitoring and pollution control, and the method comprises the following steps: collecting production side certificate data, executing time alignment and self-calibration drift removal, and constructing a standardized multi-source database; judging whether a heat island effect occurs or not, and if yes, collecting volume heat capacity, solar irradiance and heat island intensity data of a single building; according to the method, the heat island effect is introduced to judge and generate a new time-space diagram network, real-time heat island intensity changes caused by building materials and solar irradiation can be dynamically captured, and building wind field and plume data are accurately corrected. The problem that a conventional method cannot adapt to irregular fluctuation of vertical wind shear caused by the real-time heat island effect is solved, the pollution plume low-altitude compression phenomenon caused by the heat island effect is effectively corrected, and the monitoring direction is always aligned with the real diffusion path of pollutants.

The invention discloses a composite pollutant control system for high-risk space and ground, and belongs to the field of public health, environment disinfection and pollution control. The system integrates a purification air duct, a module complex (comprising an ultraviolet disinfection module, a photocatalysis enhancement module, an induction module, a control system module and the like), a safety protection module and an ultraviolet reflection suppression module. The air flow direction of the purification air channel is adjusted according to the pedestrian flow time interval distribution characteristics in the pedestrian flow dense state. In a discontinuous pedestrian flow state, the low-pressure mercury lamp is started to effectively kill microorganisms on the ground and in the air, and the killing efficiency is improved in combination with the photocatalytic enhancement module. The sensing module monitors the approaching situation of people in real time, ensures that the ultraviolet lamp is immediately turned off when people exist, and guarantees safety. And the ultraviolet reflection suppression module adopts an ultraviolet absorption material on the ground to avoid ultraviolet reflection, so that the injury to personnel is reduced. The system controls air and ground composite pollutants under man-machine coexistence, and is suitable for environmental safety guarantee of high-risk complex scenes.

The invention relates to the technical field of sewage pipe networks, in particular to a pollution traceability analysis system and method based on a sewage pipe network, and the method comprises the following steps: S1, data collection: collecting the pollutant concentration in real time; s2, data preprocessing: preprocessing the collected pollutant concentration; s3, pollution source spatio-temporal change analysis: identifying a distribution mode and a change trend of pollutants, and determining an initial position and a diffusion direction of the pollution source; s4, identifying and tracking the pollution source: dynamically identifying and tracking the position of the pollution source and the diffusion path of the pollution source in the pipe network through a multi-dimensional spatial-temporal change analysis model based on the determined initial position and diffusion direction of the pollution source in combination with the real-time pollutant concentration, and updating the diffusion state and flow path of the pollution source in real time; according to the invention, the pollution problem of the sewage pipe network in a complex environment can be effectively solved, and an efficient pollution control and treatment strategy is provided in real time.

The invention provides a proton coupling electron transfer method for resource removal of organic pollutants. The method comprises the following steps: S1, generating high-valence metal oxygen species with selective oxidation characteristics in situ; s2, determining optimal generation conditions of high-valence metal oxygen species; s3, determining an optimal condition for initiating a proton coupling electron transfer reaction by the high-valence metal oxygen species; s4, determining a key intermediate of a proton coupled electron transfer reaction initiated by the high-valence metal oxygen species; and S5, removing the organic pollutants in a recycling manner based on a proton coupling electron transfer method. By utilizing the method, the conversion of an organic pollutant water treatment mode from pollution control to resource recovery can be realized, a sustainable path is provided for resource recovery of organic pollutants, and low-carbon water purification can be realized.

The invention relates to the technical field of river ecological toughness evaluation, and discloses a river ecological toughness evaluation method based on a water quality target and flood season pollution control. The method comprises: setting a water quality target of a target water area; collecting ecological research data of the target water area in the flood season, and dividing the ecological research data into historical research data and current research data according to time; performing statistical analysis on the historical research data to obtain first feature data of each flood season; training a neural network model based on all the first feature data, and generating a prediction model for estimating the water quality recovery time; and performing statistical analysis on the current research data to obtain second feature data, inputting the second feature data into the prediction model, obtaining estimated time for recovering the current initial water quality to a water quality target, and generating a river ecological toughness value according to the estimated time. The method can accurately predict the water quality recovery time under flood season pollution control, scientifically quantify the river ecological toughness, and improve the efficiency of river ecological toughness evaluation.

The invention relates to a reverse osmosis membrane pollution control method based on green biological scale inhibition, which is especially suitable for reverse osmosis membrane pollution treatment in an industrial wastewater zero discharge system. The method comprises the following steps: regulating and controlling the composition of organic components of inlet water through a sand filtration pretreatment unit, and directly interfering the nucleation and crystallization processes of inorganic scaling on a membrane surface by utilizing naturally enriched microbial communities and extracellular polymeric substances thereof in a sand filtration process without adding a fungicide or a chemical scale inhibitor, so as to form a loose and reversible pollution layer structure. The method effectively reduces the scaling rate of inorganic salts such as calcium carbonate and the like, inhibits membrane surface biological pollution, delays compaction of a pollution layer, improves the membrane flux retention rate, prolongs the membrane operation cycle and reduces the cleaning frequency. Compared with an existing traditional physical or chemical pretreatment method, the natural scale inhibition effect of an ecological system in the sand filtration unit is fully utilized, and the method has the remarkable advantages of being low in operation cost, environmentally friendly, high in adaptability and the like.

The invention relates to the field of environmental engineering and technology, and discloses a coprocessing method for coking wastewater based on MBR (membrane bioreactor) technology, which sequentially comprises the steps of pretreatment, biological enhancement treatment, nitrogen and phosphorus removal treatment, sludge regulation and control treatment, membrane pollution control treatment and circular treatment, and comprises the following steps: introducing coking wastewater into a grating and a grit chamber; performing pretreatment to remove large-particle impurities; in the biological enhancement and nitrogen and phosphorus removal stage, a microbial agent is added to regulate and control the reaction environment so as to improve the pollutant degradation efficiency; accurate management and control of sludge performance and membrane pollution are realized by using an online monitoring technology; finally, sludge, cleaning wastewater and the like generated in all links are collected in a classified mode, the sludge is subjected to resource utilization after stabilization treatment, the cleaning wastewater is reused in the pretreatment stage, and a closed-loop treatment system is formed; through the steps, the problems of incomplete removal of COD (Chemical Oxygen Demand) and ammonia nitrogen, low removal rate of total nitrogen and total phosphorus, sludge bulking, fast membrane pollution and high risk of secondary pollution in the traditional process are effectively solved.

The invention relates to the technical field of water pollution control and treatment, and particularly discloses electroplating wastewater heavy metal ion treatment equipment. The cathode bar is sleeved with the isolation cover provided with the multiple communicating grooves at intervals in the circumferential direction, and the annular mounting base with the lifting mechanism is slidably mounted outside the isolation cover, so that the clearing mechanism in the mounting base can dynamically clear sediments in the length direction of the cathode bar. The design of the communicating groove of the isolation hood not only allows electroplating wastewater to be in full contact with the cathode bar, but also restrains sediments in an area in the groove by limiting a fluid diffusion path, so that disordered diffusion of metal particles in the electrolytic tank is effectively prevented. And the lifting motion of the mounting seat is matched with the clearing mechanism, so that sediments on the surface of the cathode can be continuously stripped in the electrolysis process, the efficiency loss caused by shutdown clearing in a traditional aeration method is avoided, meanwhile, the secondary pollution risk of suspended sludge is reduced, and continuous and efficient recovery of heavy metal ions is realized.

The invention discloses a predictive maintenance and fault diagnosis system for a water supply network, belongs to the technical field of intelligent monitoring and fault diagnosis, and realizes real-time monitoring, fault prediction, diagnosis and maintenance decision support for the water supply network by integrating various monitoring devices and applying an advanced data analysis technology. The platform comprises a multi-parameter monitoring equipment integration module, a data fusion and real-time analysis module, a fault diagnosis model, a predictive maintenance planning module, a water quality monitoring and pollution control module, an intelligent early warning and emergency response system, a system integration and communication protocol and a cloud platform and data analysis center. Through the modules, the accuracy of fault detection can be improved, the allocation of maintenance resources can be optimized, the unplanned maintenance and downtime can be reduced, the water supply safety can be enhanced, and the emergency response capability can be improved; the platform also realizes centralized management and efficient processing of data, improves the expansibility and flexibility of the system, and ensures the data security and privacy.

A method for contamination control when growing yeasts is provided. Bacterial contamination is controlled by using urea as the primary nitrogen source while simultaneously limiting the amount of nickel available to contaminating bacteria. Bacteria require nickel as a cofactor for urease enzymes in order to use urea for growth while yeasts do not require nickel as a cofactor for any enzymes. Nickel is limited by using metals in heat exchangers that do not leach nickel. Ethyl carbamate is limited by using a carbon / nitrogen ratio that consumes all urea during fermentation. After fermentation completes, yeast is recycled using centrifugation, enabling use of high concentrations of yeast to reduce fermentation time from 48 hours to 12 hours and to eliminate bacterial contamination from growth on free amino nitrogen.

The invention discloses a method for repairing alkaline cadmium-polluted farmland in arid and semi-arid regions and application of the method, and belongs to the technical field of soil repairing. According to the method, the alkaline cadmium polluted farmland soil in the arid and semi-arid areas is subjected to deep ploughing treatment, and organic materials are applied to improve the soil fertility and the environment and health quality. On the basis, an intercropping planting system suitable for the arid and semi-arid land area is constructed, low-cadmium-accumulation grain crops and high-cadmium-accumulation plants are reasonably selected according to the ecological conditions and crop characteristics of the area, and an intercropping combination of low-absorption grain crops and enriched economic crop plants is formed. According to the system, organic unification of source reduction of heavy metal pollution in soil, pollution control in the planting process and continuous and safe utilization of the farmland is achieved, the dual goals of pollution remediation and farmland production are taken into account, and pollution reduction and collaborative improvement of economic benefits are achieved; and a feasible technical path is provided for ecological restoration of alkaline heavy metal polluted farmlands in arid and semi-arid regions.

The invention belongs to the technical field of urban environment engineering, and particularly relates to an urban temperature and humidity and pollution control system and method based on a water sprinkling mechanism, the system comprises a control system, the water sprinkling mechanism and an environment temperature and humidity detection mechanism, and the method comprises the steps of a, aiming at a treatment mode I of too high environment temperature and normal humidity; b, a second treatment mode for'over-high environment humidity and normal temperature '; c, a third treatment mode for'over-high environment temperature and humidity '; d, a fourth treatment mode for'normal temperature and humidity but overproof environmental pollution '; the invention further discloses a method for measuring the pothole terrain and recovering accumulated water. According to the invention, temperature and humidity imbalance and environmental pollution caused by the heat island effect can be effectively treated.

The present invention relates to a composite modified zeolite for efficiently solidifying fly ash heavy metals, a preparation method and an application thereof. The composite modified zeolite is a base-phosphate-carbonate composite modified zeolite, and its pH is 7.2-9.1. The surface is loaded with 31%-50% phosphorus and 12%-36% carbon by mass fraction, wherein the phosphorus is loaded in the form of a phosphate group and the carbon is loaded in the form of a carbonate group; the phosphate group includes PO4 3‑ , the carbonate type includes -CO3 2‑ Using this composite modified zeolite as the immobilization and stabilization material, adding 1% of the fly ash mass to the treatment once can reduce the leaching concentrations of lead, cadmium, and zinc in the fly ash to below the limit specified in the "Standard for Pollution Control of Municipal Waste Landfill" (GB 16889-2008). It can be used for the solidification and stabilization of heavy metals in incineration fly ash, especially lead, cadmium, and zinc in the solidified and stabilized fly ash.

The invention discloses a water quality purification system based on a heterogeneous catalytic material and an ecological floating bed. The water quality purification system comprises a floating bed device, a purification device, a fixing device and a water moving trolley, the floating bed device comprises a floating bed carrier and aquatic plants planted on the floating bed carrier; root systems of the aquatic plants extend into the water, and microorganisms are attached to the root systems; the purification device is arranged on the floating bed carrier, is in contact with water flow and comprises a plurality of purification assemblies distributed on the floating bed carrier at intervals, and each purification assembly comprises a purification bag suspended on the floating bed carrier and a heterogeneous catalytic material loaded in the purification bag; the fixing device is arranged on the floating bed carrier and fixes the floating bed carrier on the water surface of a target area; the water moving trolley is connected with the floating bed carrier and drives the floating bed carrier to the water surface of the target area; according to the water quality purification system disclosed by the invention, a material-plant-microorganism three-in-one synergistic purification framework is constructed, and the potential of an ecological floating bed in the aspects of sustainable pollution control and phosphorus resource recovery is remarkably enhanced.