Comprehensive reconstruction method for long-series sediment data in data-lacking areas

A comprehensive reconstruction method for long-series sediment data in data-lacking areas, comprising steps of:

• 1) collecting hydrological and sediment data of a target river section, wherein the hydrological and sediment data comprises:
• a hydrological station long-series daily flow Qi,j,k, a sediment content TSi,n,k and a flow qi,n,k during sediment test, and a surface sediment test sediment content Ci,m,k and a flow cqi,m,k during water quality test, wherein 1=1˜Nyear, Nyear is long-series years;
• j=1˜Nday(i), Nday(i) is a total number of days in a year i;
• k=1˜Nsta, Nsta is a quantity of hydrological stations;
• n=1˜Nsam(i,k), Nsam(i,k) is a quantity of sediment test samples at a hydrological station k in the year i;
• m=1˜NCsam(i,k), NCsam(i,k) is a quantity of surface sediment test samples of the hydrological station kin the year i;
• 2) calculating sediment data in data-rich years with a flow-sediment content annual relationship curve method;
• 3) 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;
• 4) calculating sediment data in data-lacking years with an adjacent station same year flow-sediment content relationship curve method;
• and
• 5) calculating sediment data in remaining years with a multi-year average flow-sediment content relationship curve method.