An embodiment provides a method of forecasting water quality deterioration in a water distribution system, including: receiving, at an electronic device, a data set comprising measured values of a plurality of components within the water distribution system; determining, based upon algorithmic analysis of the measured values, a water quality index; and providing, based on the determined water quality index, a recommendation to mitigate water quality deterioration in the water distribution system. Other aspects are described and claimed.

A monitoring method of dissolved greenhouse gases in wastewater includes: S1, collecting a wastewater sample, performing mud-water separation, and collecting a supernatant after the mud-water separation; S2, adding dilute sulfuric acid solution to the supernatant collected in a headspace vial to adjust pH of the supernatant to 1-4, and then tightening a cap of the headspace vial; S3, inverting the headspace vial, and checking whether there are air bubbles in the headspace vial; S4, injecting 5-10 mL of pure nitrogen into the headspace vial through a syringe, and discharging 5-10 mL of the wastewater sample through a conduit; S5, placing the headspace vial in a water bath constant temperature shaker, and shaking the headspace vial for 20-30 minutes; S6, extracting gases from an upper part of the headspace vial, and measuring concentrations of the gases; S7, quantitatively calculating concentrations of the dissolved greenhouse gases in the wastewater sample.

This application discloses a water quality measurement method, device, equipment and storage medium, which includes: 1) Acquiring multiple sets of training data and using them to train the baseline network iteratively, calculating the error based on the predicted values output by the baseline network and the corresponding labels. 2) Calculating the error state value based on the errors obtained from two consecutive iterations. If the error state value of the current iteration meets the preset conditions, the parameters of the baseline network are updated with the error of the current iteration. Otherwise, the parameters are not updated. The process continues until the baseline network converges. 3) Using the model to obtain water quality measurement results of the wastewater treatment plant. This application addresses the issue present in the existing technologies where effective features from the raw dataset cannot be efficiently extracted, resulting in low accuracy of the measurement results.

The invention refers to a photometric process measurement arrangement (10) with a photometric immersion probe (20). The photometric immersion probe (20) comprises a photometer flashlight source (61) for providing photometric light impulses, a photometric detector arrangement (70) comprising at least two separate wavelength-selective detection elements (71, 72, 73), and a photometer control (80) controlling the photometer flashlight source (61) and the detector arrangement (70). The photometer control (80) comprises several impulse signal integrators (819, 829, 839) for integrating the electric impulses generated by the detection elements (71, 72, 73), several A/D-converters (81, 82, 83) for converting the voltages of the impulse signal integrators (819, 829, 839) when high-precision-converting trigger ports (H) of the A/D-converters (81, 82, 83) are triggered, and a measuring cycle control (90) with an integration target memory (94) memorizing an integration target voltage value (Ut). The photometer control (80) is provided with a high-precision-request port (93) for synchronously triggering the high-precision-converting trigger ports (H) of all A/D-converters (81, 82, 83) after the voltage of the first of all impulse signal integrators (819, 829, 839) has exceeded the memorized integration target voltage value (Ut).

An electrochemical method for detecting, identifying, and quantifying ions and nutrients dissolved in water through voltammetry, and equipment to carry out the method, including: a preparation/placement stage of a sensor, with a reference electrode, working electrode, and counter electrode, in a potentiostat; a stage for contacting a sample or analysis solution containing the analyte with the sensor; a stage for applying, controlled via software from a computer system, electrical stimulation to the sample through Cyclic Voltammetry, Normal Pulse Voltammetry, Differential Pulse Voltammetry, or Square Wave Voltammetry, with a step potential and pulse amplitude range between 3,000 mV and 3,000 mV; and a stage for characterizing one or more analytes based on at least one measurement of the signals resulting from the oxidation-reduction of the analyte(s).

The present disclosure provides a method and system for predicting effluent ammonia nitrogen (NH.sub.4N) and an electronic device. The method includes: obtaining data to be tested; and inputting the data to be tested into a trained deep echo state network, to obtain predicted NH.sub.4N concentration. A method for establishing the deep echo state network includes: establishing an original network, where the original network includes a plurality of input variables and reservoirs, and a principal component analysis (PCA) mapping layer is added between adjacent ones of the reservoirs; initializing the original network to obtain an initialized network; performing parameter optimization on the initialized network by a matrix generation method of singular value decomposition and a competitive swarm optimizer (CSO) algorithm, to obtain an optimized network; and training and testing the optimized network, to obtain the trained deep echo state network.

The present disclosure proposes a portable, battery operated, calibration free, soil independent electrochemical nutrient testing device for soil health monitoring that is designed for in-field nutrient analysis and aids to monitor soil health accurately on a regular basis. The portable electrochemical nutrient testing device for soil health monitoring, comprises a function generator block, at least one screen-printed electrochemical sensor, working electrode, counter electrode, reference electrode, plurality of contact pads, voltage control module, data acquisition module, micro-controller unit, display unit, a processing module, and a location intelligence module. The portable electrochemical nutrient testing device doesn't require prior conditioning and calibration of the electrodes and does not require complex sample preparation using multiple reagents.