2137 results about "Drainage basin" patented technology

Methods of modeling anatomical structures, along with pathology including the vasculature, spine and internal organs, for visualization and manipulation in simulation systems. A representation of on the human vascular network is built up from medical images and a geometrical model produced therefrom by extracting topological and geometrical information. The model is constructed using topological and geometrical information. The model is constructed using segments containing topology structure information, flow domain information contour domain information and skeletal domain information. A realistic surface is then applied to the geometric model, by generating a trajectory along a central axis of the geometric model, conducting moving trihedron modeling along the generated trajectory and then creating a sweeping surface along the trajectory. A novel joint reconstruction approach is also proposed whereby a part surface sweeping operation is performed across branches of the joint and then a surface created over the resultatn holes therebetween. A 3-D mesh may also be generated, based upon this model, for finite element analysis and pathology creation.

The invention discloses a design method for a distributed hydrological model by using a grid as an analog unit, which is called as ESSI for short. The design method comprises the following steps of: obtainment of a distributed parameter: converting vector data into grid data; generalization of a watershed hydrological process: establishing a universal runoff generating type for the grid; design of a runoff generating process: respectively computing the water-quantity distributing condition of each part according to different prior-period soil water conditions; design of a flow collecting process: respectively designing a Muskingum-Cunge method, a delay algorithm and a riverway segmentation Muskingum method for the flow collecting process computation of the model under different conditions; and model development and integration. The invention not only can finish the watershed hydrological process simulation at an arid region and a humid region, but also can realize the short-term flood forecast and the long-term rainfall-runoff process simulation and prediction of a watershed by using modularization and integration ideas as means, thereby providing scientific reference bases for deeply learning about the physical mechanism of water circulation by people, reducing the drought and water-logging disasters and reasonably developing and utilizing water resources.

The invention provides a method for monitoring hydrology and water quality of a river basin under influence of water projects based on Internet of Things. According to the method, various fixed and flowing sensors are additionally mounted so as to obtain real-time hydrology and water quality data of important water areas, in combination with a video technology, monitoring on a spot environment is achieved, the monitoring information is transmitted through the Internet of Things, intelligent prediction for hydrology and water quality of the river basin is carried out through a neural network, and finally, critical applications, such as current situation assessment, tendency estimation, implementation effect estimation and extreme event handling, are achieved through an expert system. The method provided by the invention can provide real-time, reliable and complete hydrology and water quality information for the river basin under influence of water projects, and can achieve cross-regional and multi-machine type integrated remote protection for the river basin.

Watershed hydrology analysis and management process and system with a network of weather stations and artificial drainage systems with artificial and natural reservoir management through locks and pumping stations. It evaluates potential hydrologic risk in each area and analyses the possible consequences of future precipitations using simulations. To make the simulation, it calculates hydrographs for each sub-basin, streams and rivers in the basin. It simulates the behavior of the basin under different scenarios corresponding to different types of management of the operation of locks and / or pumps and compares its results in terms of loss of flooded area, economic loss in each area, loss for flooding of urban areas, etc. Optimization of the simulation through artificial intelligence (AI, meta-heuristic algorithms, neural networks, etc.) allows it to act as a search engine to find better solutions and the best configuration of resource management that allows minimizing the socio-economic impact on each basin.

The method according to the invention allows the formation of oil and the retention phenomenon in the mother rock to be modelled. Organic matter characterization experiments are used to establish the molecular model (MM) of the initial sample (E). The thermal cracking reaction of this molecular model is reproduced by dynamic molecular simulation computations with a reactive force field (RMD) and validated by comparison with experimental data. The reaction mechanism obtained (SR) allows to carry out a kinetic study (C) by variation of the temperature parameter. The phase equilibria (PES) of the reaction medium are determined at any time from dynamic simulation. The successive phase equilibrium assessments at various progress stages of the cracking reaction allow following the physicochemical evolution (PC) of the thermal maturation of the organic sample studied. The free hydrocarbons (liquid and gaseous) that are not retained in the solid residue can be quantified throughout numerical modelling of the sample maturation; representing, in the sedimentary basins, the hydrocarbons that are not retained in the organic matrix of the mother rock (Q). This quantity can be used as an indicator or an input value for the retention threshold in basin models.

The invention relates to a method for calculating the tracing contribution of a sudden accidental water pollution source at a point source, which is effective in rapid tracing of a river basin and environmental management and protection of the river basin. The method includes: according to the natural geographical features of the river basin, determining the control area corresponding to the control section of the river basin; using the monitoring data of the pollution source and the statistical data of the pollution source to budget regarding the pollution source in the river basin; using a one-dimensional unsteady water quality model to establish the relationship between pollution source and water quality of the section; using the relationship between pollution source and water quality of the section to calculate the contribution coefficient of the pollution source within the river basin and characterizing the contribution of pollution sources. The method is novel and unique, easy tooperate and use, accurate in calculation, and high in efficiency, makes full use of the basic information of the existing pollution source, quickly feeds back the state of the pollution source in theriver control section in a short time, locks the pollution source which has relatively greater contribution to the river water quality in the river basin, provides the support for the pollution tracing of the river basin, and is effectively used for the environmental protection and treatment of the river.

The invention provides a multilayer soil moisture simulation method and a multilayer soil moisture simulation system. The method comprises the steps of establishing a soil moisture layer equilibrium model, and adjusting the structure of the model by combining a remote sensing technology; acquiring model parameters by the remote sensing technology, and establishing a watershed hydrological spatial information database; and carrying out multilayer soil moisture process numerical simulation by utilizing the adjusted soil moisture layer equilibrium model and the watershed hydrological spatial information database. According to the method and the system, a remote sensing inversion method is coupled with the traditional typical soil moisture layer equilibrium model, so that the model with a clear and definite physical mechanism and simple structure can be established, a certain soil moisture simulation accuracy can be maintained, and spatialization and dynamism of multilayer soil moisture simulation can be realized.

The invention provides a watershed hydrological model design method based on a storage capacity curve and a TOPMODEL, which comprises the following steps: calculating surface runoff yield; calculating subsurface runoff yield; calculating evapotranspiration; applying a water balance equation; establishing a convergence mechanism; generating isochrones; dynamically and visually expressing soil moisture; and coupling with a Noah land surface model (Noah LSM). The method has a high simulation deterministic coefficient, is advantageous over a semi-distributed model TOPMODEL, a Xinanjiang model and distributed hydrological models such as an engineering and science summer institute (ESSI) model, a hydrologic engineering center hydrologic modeling system (HEC-HMS) model and a soil and water assessment tool (SWAT) model in the simulation of a daily runoff process and the simulation of a flood process, and overcomes the drawback that the conventional watershed hydrological model is usually inapplicable to hydrological process accurate simulation under large-scale, arid and semiarid conditions. The model of the invention can be successfully coupled with Noah LSM and improves the rainfall, soil moisture and runoff broadcasting capacity of a service weather research forecast mode, namely global / regional assimiliation prediction system (GRAPES)-mesoscale(MESO).

The invention provides a method for assimilating remote sensing data of soil humidity in a watershed scale. The method comprises the following steps of: improving a watershed runoff producing calculation module and developing a distributed hydrological model which is suitable for assimilating remote sensing soil humidity information and describes a soil hydrodynamic process; introducing a particle filtering sequence data assimilation method of information science, and continuously merging and assimilating new remote sensing observation data in a dynamic operation process of distributed hydrological process numerical simulation so as to acquire updated watershed soil humidity assimilated data during sequential assimilation; feeding the updated watershed soil humidity assimilated data back to a distributed hydrological model platform; and gradually estimating the time and space distribution pattern of watershed soil moisture content. Practices prove that by the method, not only high-precision and physically consistent watershed soil humidity data can be provided for research on hydrology, zoology, environment and agriculture, but also the foundation is laid for performing four-dimensional data assimilation processing on soil humidity data of an upper soil layer acquired by using remote sensing retrieval, and improving the precision of the model.

A wastewater treatment tank with influent gates (24) and pre-react zone with an outwardly flared lower portion. Influent passes over influent gates (24), which introduce turbulence, causing aeration, and reducing flow velocity. As influent flows out of the influent gate housing (20), flow velocity is further reduced by contact with the surface of the wastewater in the basin and influent flow is directed laterally by an influent gate bottom (30). A pre-react zone director (34) spaced apart from the bottom (42) of the basin encloses the influent gate housing (20) and utilizes an outwardly flared lower portion, or flap (38), to further reduce flow velocity and enhance laminar flow. This results in minimal disturbance of settled sludge blanket, allowing it to act as a natural biological filter, which in turn results in a superior supernatant.

In accordance with the present invention, there are provided methods for identifying the sentinel lymph node in a drainage field for a tissue or organ in a subject. In select embodiments, the invention allows for the identification of the first or sentinel lymph node that drains the tissue or organ, particularly those tissues associated with neoplastic or infectious diseases and disorders, and within the pertinent lymph drainage basin. Once the drainage basin from the tissue or organ, i.e., the sentinel lymph node, is identified, a pre-operative or intraoperative mapping of the affected lymphatic structure can be carried out with a contrast agent. Identification of the first or sentinel lymph node, on the most direct drainage pathway in the drainage field, can be accomplished by a variety of imaging techniques, including ultrasound, MRI, CT, nuclear and others. Moreover, once the lymphatic structure is identified as being associated with neoplastic or infectious diseases and disorders, the affected lymphatic structure can be removed surgically or by a suitable minimally invasive procedure to allow pathological analysis to be performed to determine whether certain diseases or disorders exist, without resort to more radical lymphadenectomy. Further, the agent can be made to carry diagnostic or therapeutic probes to be activated and / or delivered to the injection site or any part of the lymphatic pathway downstream from the injection site.

The invention discloses a method and system for predicting short-term running water. The method comprises the steps of: S1, analyzing a running water law in a river basin and initializing data, wherein the analysis of the running water law in the river basin comprises analysis on relevance and characteristics of the river basin, analysis on running water sequence period and trend of the river basin, hydrologic year division, staging of reservoir regulation and selection of step-shaped typical year of the river basin; S2, establishing and calling a short-term running water prediction model; and S3, solving the short-term running water prediction model, verifying if the precision of the model is optimal, and outputting a short-term running water prediction result. According to the method and system for predicting the short-term running water, disclosed by the invention, the precision of prediction of the short-term running water can be improved.

The invention provides an intelligent monitoring system for area pollution discharge. The system includes an area pollution source intelligent environment on-line supervisory subsystem, an urban sewage conveying intelligent supervisory subsystem, a river drainage basin environmental pollution source intelligent supervisory subsystem and an information sharing layer, wherein the area pollution source intelligent environment on-line supervisory subsystem is used for monitoring a pollution discharge enterprise as a pollution source, the urban sewage conveying intelligent supervisory subsystem is used for monitoring a conveying pipeline, the river drainage basin environmental pollution source intelligent supervisory subsystem is used for monitoring an abnormal condition of a river cross section, and the three subsystems send monitoring data to the information sharing layer and utilize the monitoring data of the information sharing layer to determine the area, time and pollution source of an abnormal pollution discharge accident. Through the system provided by the invention, overall-process monitoring management from generation, conveying, purification to discharge of sewage can be realized, plenty of manpower and material resources are saved, operation is convenient and a result is accurate.

The invention relates to a submerged line tracking method for flood evolution simulation in a complicated river channel landform area. The submerged line tracking method comprises four process of generating a digital river channel multi-resolution grid segmentation model; modeling and computing a simulation forecast model for a drainage area flood evolution state, wherein the process is operated in parallel with the process of generating the digital river channel multi-resolution grid segmentation model; accurately searching the submerging boundary of the complicated river channel landform; and dynamically identifying a drainage area flood evolution submerged area. The submerged line tracking method performs accurate searching on the submerging boundary of the complicated river channel landform through establishing the digital river channel multi-resolution grid segmentation model and the simulation forecast model, thereby realizing dynamic identification on the drainage area flood evolution submerged area, accurately simulating complicated river channels at various landforms, and quickly simulating a flood submerged area. Quick, accurate and visual forecast on time, water depths and flow and even flow velocity in flood evolution to different river segments are realized. A scientific basis is laid for disaster prevention and mitigation operation before flooding.

PCT No. PCT / DK96 / 00063 Sec. 371 Date Nov. 19, 1997 Sec. 102(e) Date Nov. 19, 1997 PCT Filed Feb. 8, 1996 PCT Pub. No. WO96 / 25216 PCT Pub. Date Aug. 22, 1996A method and a basin serve the purpose of sedimenting sludge in waste water, which in a flow is supplied to the basin via an inlet and in clarified condition is removed via an outlet placed opposite to the inlet. In the inlet there has been built in resistances of flow which create a heavy turbulence in the water flowing and transform a substantial part of the energy of flow from the water into energy in the whirls which create the turbulence. Thereby there are created flow conditions which increase the creation of sludge flocs and the succeeding sedimentation of these.

The invention relates to a method and a device for monitoring, also permanently and automatically, temperature distributions and / or temperature anomalies on the basis of distributed fiber-optic temperature sensing as well as to the use of such methods. According to the invention the detection of local temperature extremes, i.e. minimums or maximums, in view of the evaluation is performed by an evaluation without numeric derivations. With the device for monitoring ascending and supply pipes surrounded by an annular space it is possible to check the safety of pressurized installations, particularly in the field of low-pressure gas storage, in a cost-efficient manner. Moreover, the position of an underground watershed or respectively the direction and flow rate of the flows in flooded drift sections can be determined on the basis of fiber-optic temperature measurements. The defined arrangement of preferably vertical sensor cables inserted into the bores also makes it possible to examine the tightness of base sole and lateral walls in building excavations. Finally, the virtually horizontal, meander-shaped arrangement of fiber-optic cables situated in several levels makes it possible to evaluate and control the efficacy and homogeneity of leaching processes in leaching dumps and fills.

The invention discloses a river basin water-based environment management decision support system comprising a hydrology and water quality information collection module, a video information collection module, a data transmission module, a hydrology and water quality information management system, a monitoring center, a data processing module, an expert assessment module, a 3D effect generation module, a display, and a man-machine operation module. Water-based environmental elements of a river basin can be detected in real time, the water-based environment can be scientifically evaluated, and therefore, a feasible decision scheme can be put forward. Moreover, the situation of the river basin water-based environment can be shown in front of the staff through the 3D effect generation module, so that the staff can observe and feel the change in the water-based environment in an immersive way. The reliability of river basin water-based environment management decision is further improved.

The invention discloses a method for designing a distributed-type hydrographical model based on a penetration-storage integrated dynamic runoff yield mechanism, which relates to a method for designing a hydrographical forecast model, and mainly comprises the following steps that: A) acquiring distributed-type parameters; B) generalizing hydrographic process of a river basin; C) designing a penetration-storage integrated runoff generation process; and D) designing a junction process. The method is based on the penetration-storage integrated dynamic runoff yield mechanism to coordinate the distribution of water in the hydrographical sub-processes and to dynamically simulate the runoff generation process of grids, so not only can an advanced calculation and simulation platform be provided to other associated hydrographical ecological research such as sand generation and sand output of the river basin, transportation and movement of nutrients, dispersion of pollutants and the like, but also drought and flood hazards of the society can be reduced, scientific references can be provided to the reasonable development and utilization of the water resource, and scientific reference and reasonable suggestions can be provided to the management and scheduling of the water resource in China.

The invention relates to a direct power-spectral method-based all-weather long drainage basin water quality monitoring and early-warning system, belonging to the technical field of water quality monitoring. The system comprises a plurality of water quality monitoring devices, a cloud data processing platform and a remote monitoring platform; the water quality monitoring devices are placed at a shoreside of a water body, a water surface buoy or other water surface platforms according to needs, used for extracting water quality data of the long drainage basin, use a direct power-spectral method to acquire an absorption spectrum of a monitored water body and sends the monitored data and water quality information to the cloud data processing platform in a wireless transmission manner; the cloud data processing platform summarizes and analyzes the received data and stores into a database; the remote monitoring platform inquires and displays the data stored in the database and realizes the real-time monitoring and early-warning for an all-weather long drainage basin water quality environment. The system can realize the online measuring, real-time monitoring, emergent early-warning, drainage basin analyzing and water environment monitoring of all weathers of the water body in the drainage basin, thus reducing the loss caused by pollution to the water body and ensuring drinking water safety.

The invention discloses a water environment pre-warning and comprehensive management platform, and belongs to the technical field of water environment monitoring. The platform mainly comprises an information management module, a water environment analysis and evaluation module, a water environment pre-warning and forecasting module, a water environment comprehensive management module, a GIS systemmodule and a data monitoring module. According to the platform, information of each partition basin and information of surrounding pollution sources of each monitoring point are established, so thatpertinence for the key monitoring and precaution for the key areas and key elements with potential safety hazards is strengthened; and analysis, assessment and trend analysis are carried out on waterquality of the monitoring points, and a water quality pre-warning and forecasting model is constructed, so that monitors are helped to timely recognize water environment pollution areas and pollutionlevels, and deciders are helped to carry out correct judgement, timely processing and effective measure implementation when accidents occur, thereby strengthening the comprehensive management for water environment of offshore areas.

Computer-based systems and methods are disclosed for modeling and predicting flash flood risks for real estate properties. In some embodiments, the systems and methods can predict flash flood risks for real estate properties by considering a variety of factors, including watershed hydrology characteristics, land surface characteristics, meteorological characteristics, and / or property characteristics. In some embodiments, the systems and methods can improve determination of investment metrics or automated valuations by considering flash flood risks in determining the investment metrics or automated valuations.

A computer implemented method and system for conducting a geologic basin analysis in order to determine the accumulation of hydrocarbons in a subsurface region of interest. One embodiment of the present invention includes defining a basin analysis project within a subsurface region; applying at least one basin analysis workflow to the basin analysis project; and integrating the results of the basin analysis to generate basin analysis project results for the basin. The project results are used to optimize and manage the performance of technical tasks required for the basin analysis project in order to determine the accumulation of hydrocarbons in the subsurface region of interest.

A distributed hydrological simulation based drought assessment and forecasting model method includes steps of firstly, establishing a river basin space geological information base on the basis of a geological information system; secondly, establishing a distributed hydrological model based on a geomorphic grid unit by means of a GIS (geological information system) spatial analysis tool on the basis of the river basin space geological information base, utilizing meteorological data as input conditions of the model, applying the distributed hydrological model for distributed simulation of river basin process, and taking simulation results as various outputted hydrological feature information; thirdly, establishing a drought forecasting model on the basis of hydrologic budget according to the internal relation among various meteorological hydrological features, and utilizing PDSI (palmer drought severity index) as comprehensive balance index of drought severity. The drought forecasting model based on distributed hydrological simulation has advantages on aspects of displaying regional distribution features of the drought severity and evolution trend along with time and the like and can forecast and predict development and change of the drought severity by combining with meteorological information.

The invention relates to the technical field of water environment ecological restoration, in particular to a system for restoring bio-ecological environment of a micro-polluted riverway, wherein a biological contact oxidation module adopts elastic three-dimensional packing or combined packing, the riverway coastal area is provided with emergent aquatic plant floating floors or floating plant floating floors, the upstream and the downstream of the riverway are provided with floating plant purification zones, and the water surface coverage of the floating floors is between 15 and 20 percent; both coasts of the riverway are plated with emergent aquatic plants and the water surface is planted with floating plants, and water areas with more than two times of transparency are plated with submerged vegetations; and sloping fields on both sides of the riverway are planted with un-germinated poplar or willow branches through cottage; and simultaneously, the poplar or willow branches are embedded into sloping banks shallowly and horizontally according to contours in a mode of being bundled up into a bunch of fascines at different positions of the sloping fields. Compared with the prior art, for the ecological restoration and construction, the system achieves self-purification, self-regulation and self-sustaining of pollutants within certain concentration range, and is an effective path for improving water quality under the condition that basin-wide pollutant cutoff cannot be performed at present.

The invention discloses a hydrological model comprehensive uncertainty analysis method based on a Copula function. The method comprises the following steps: (1) collecting data information of a water basin; (2) establishing a hydrological model to simulate a water basin outlet section flow process; (3) determining a marginal probability distribution function of actually measured flow and simulation flow; (4) using the Copula function to construct an united probability distribution function of the actually measured flow and the simulation flow; (5) solving a condition probability distribution function of the actually measured flow while the simulation flow is given; (6) acquiring median of the actually measured flow and an uncertainty interval. Through the adoption of the method disclosed by the invention, the uncertainties of the model parameter and the model structure can be more comprehensively considered at the same time so as to obtain the comprehensive uncertainty of the hydrological model. The method disclosed by the invention is independent from a certainty hydrological model, and can be synergistically integrated with the certainty hydrological model with any complexity without adding any assumption on the model, and a universal theoretical frame is provided for the analysis of the comprehensive uncertainty of the hydrological model.

The invention relates to the technical field of ecological restoration of water environment, and especially relates to a biological and ecological restoration system of eutrophic rivers and lakes. Ecological floating beds are laid along a bank, the water surface coverage rate of the floating beds is 15-20%, and each of the floating beds consists of a floating plate, planting baskets, a planting basket filler, floating bed plants, a nylon net, immobilized microorganism particles, a biological filler and artificial waterweeds. The planting baskets are placed in the planting basket holes of the floating plate, the planting basket filler is arranged in the planting baskets, the floating bed plants are planted in the planting basket filler, the nylon net suspends below the floating plate, the immobilized microorganism particles suspend between plant roots, the biological filler suspends below the nylon net, the artificial waterweeds are planted at the water bottom, and submerged plants are properly planted in a water area with two times in the transparency. The system has the advantages of simple and economic carrier, high strength, good durability, reliable planting, natural water ecological landscape, and engineering water quality improvement; and compared with systems in the prior art, the system focuses on the ecological restoration and construction of river and lake water, realizes the self purification, self regulation and self maintenance of pollutants in a certain concentration range, and is an effective way to improve the water quality without all-basin pollutant interception at the present stage.

A high altitude pumped-storage system for selectively integrating, storing, and distributing water and energy to increase the regional productivity of existing and future water and energy resources throughout multiple river basins is disclosed. This system addresses in part the increased requirement of supplying energy demands from a renewable energy source, such as wind, solar, or water generated power. The system includes at least one primary reservoir connected to multiple secondary reservoirs by conduits. The system allows for selectively distributing water and energy between secondary reservoirs and at least one primary reservoir. The system may comprise one or more hydroelectric power generation facilities. A method for increasing the regional efficiency of existing and future systems for producing, storing, and delivering energy from sources such as hydroelectric, wind and solar power from the water collected by the system described herein is also disclosed.

The invention discloses a method for performing real-time regulation and control and digital management on a water environment, which belongs to the technical fields of water environment real-time simulation and management. The method comprises the following steps of: acquiring data; establishing a monitoring database; identifying specific pollution areas and pollution sources by establishing a water environment model; and providing a control measure for the concentration and the total emission of point-source and non-point-source pollutants in the specific areas, so that the whole drainage basin can be guided to execute the best management plan, a system for performing real-time regulation and control and digital management on the water environment is established by combining with an informationization mode to regulate and control the water quality of the river in real time, systematic technique support can be provided for drainage basin 'source control and emission reduction', water environment comprehensive treatment and quantitative management, and the application prospect is wide.

The invention provides a flow rate level prediction method based on convolutional neural network deep learning. The method comprises the following steps that: selecting an impact factor which is potentially related to the inflow flow rate of a reservoir as an input set; carrying out sample set classification and original input dataset construction; carrying out standardized processing on the original input dataset in the sample set; building a multilayer convolutional neural network; taking mean square error minimization as a loss function to determine prediction accuracy; carrying out networkparameter training; carrying out network performance testing; checking prediction accuracy; carrying out the rolling learning training on model parameters; automatically saving a learning training achievement, and automatically updating the knowledge record of a real-time library; and through a network model, carrying out calculation to obtain a final flow rate level prediction result. By use ofthe method, low-layer characteristics are combined to form high-layer characteristic fusion, so that an objective can be subjected to advanced abstract description, a data input pattern and a spatialand temporal distribution rule can be found through automatic learning, and therefore, the method can be effectively applied to the field of drainage basin water regimen forecasting.

We propose local watershed operators for the segmentation of structures, such as medical structures, from an image. A watershed transform is a technique for partitioning an image into many regions while substantially retaining edge information. The proposed watershed operators are a computationally efficient local implementation of watersheds, which can be used as an operator in other segmentation techniques, such as seeded region growing, region competition and markers-based watershed segmentation.