{
  "$type": "site.standard.document",
  "description": "A comprehensive reconstruction method for long-series sediment data in data-lacking areas includes steps of: collecting hydrological and sediment data of a target river section; calculating sediment data in data-rich years with a flow-sediment content annual relationship curve method; calculating…",
  "path": "/patents/1294454",
  "publishedAt": "2021-07-01T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06F30/28",
    "Changjiang River Scientific Reseach Institute"
  ],
  "textContent": "A comprehensive reconstruction method for long-series sediment data in data-lacking areas includes steps of: collecting hydrological and sediment data of a target river section; calculating sediment data in data-rich years with a flow-sediment content annual relationship curve method; calculating sediment data in only water quality and sediment test years with a correlation method between water quality and sediment data and hydrological station sediment data; calculating sediment data in data-lacking years with an adjacent station same year flow-sediment content relationship curve method; and calculating sediment data in remaining years with a multi-year average flow-sediment content relationship curve method. The method comprehensively adopts four methods to reconstruct the long-series sediment data based on sediment actual observation and characteristics in the data-lacking areas, which can make up for the limitations and deficiencies between the four methods, and the required data is easier to collect than those in the conventional methods.",
  "title": "Comprehensive reconstruction method for long-series sediment data in data-lacking areas"
}