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Virtual water trade (also known as trade in embedded or embodied water) refers to the hidden flow of water if food or other commodities are traded from one place to another. For instance, it takes 1,340 cubic meters of water (based on the world average) to produce one metric tonne of wheat. The precise volume can be more or less depending on climatic conditions and agricultural practice. Hoekstra have defined the virtual-water content of a product (a commodity, good or service) as "the volume of freshwater used to produce the product, measured at the place where the product was actually produced". It refers to the sum of the water use in the various steps of the production chain.
Evaluation method of dual risks of water quality and quantity and their cascade transmission in agriculture
PendingCN122114637AData processing applicationsEnvironmental resource managementAgricultural pollution
The application discloses an agricultural water quality and water quantity dual risk and cascade transmission evaluation method, belongs to the technical field of water resource management, and aims at solving the problem that traditional methods only stay in water quantity depletion caused water resource pressure accounting and ignore the risk caused by substandard water quality; the application comprises the following steps: based on a farmland soil nitrogen budget and hydrodynamics coupling model, quantifying the pollution emission list of subdivided sources in the growth process of specific crops, simulating agricultural pollution dilution water consumption; using a crop water requirement model to calculate the irrigation water consumption of specific crops in the whole growth period; using a source and sink corrected physical flow trade model to analyze the virtual water transfer path hidden in each agricultural product trade link; integrating the production end and the consumption end results to realize high-precision grid agricultural water resource supply and demand imbalance risk evaluation and cascade effect analysis; and the cascade transmission effect of the application in evaluating the water resource risk provides strong support for reasonable allocation of agricultural water resources and improvement of nitrogen fertilizer utilization efficiency.
Owner:PEKING UNIV
A water resource carrying capacity prediction method based on a water resource supply and demand prediction model
PendingCN122114685AData processing applicationsNeural learning methodsEnvironmental resource managementEcological environment
The application discloses to belong to the technical field of water resources management, and particularly relates to a water resources carrying capacity prediction method based on a water resources supply and demand prediction model, which comprises the following steps: collecting economic, water supply and hydro-meteorological data of a research area; constructing an input-output model, combining with structural decomposition analysis to identify virtual water core influencing factors; constructing a water resources supply and demand deep learning prediction model, inputting influencing factor data under different future scenarios, and outputting water resources supply and demand prediction values; using the supply and demand prediction values and future social and economic data to calculate water resources supply and demand indexes and concentrated carrying indexes, and integrating the two indexes into a water resources carrying capacity index through an entropy weight method. The application realizes accurate prediction of regional water resources supply and demand and dynamic quantification of water resources carrying capacity under multiple social economy-climate scenarios, can accurately identify core driving factors of water resources carrying capacity, and provides technical support for sustainable allocation of water resources in arid areas and coordinated development of social economy and ecological environment.
Owner:BEIJING NORMAL UNIVERSITY