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Solids in Rivers Estimator

Estimates solids loads in rivers from minimal hydraulic description using a Minkowski distance measure and a nearest neighbor selection algorithm.

Description

A database developed from literature data pertaining to solids transport along with a screening tool for estimating solids transport. The database construction and theory of the search algorithm is presented in Cleveland et. al. (2013a). A parallel database of empirical hydraulic properties of Texas rivers is presented in Cleveland et. al. (2013b), and was instrumental in the construction of a server-side implementation of the search tool details of which are presented in Neale (2018).

This Web Application is one of several derived from these reports, all intended to provide a rapid-to-use tool for occasional screening without the end user needing to install and operate software on their own machines. For frequent use the underlying databases are provided. Anyone can use the tool; authenticated users can add records to the database (form pending).

References

Solids in Rivers Manual (Pending) Author(s)

Hydraulics of Staggered Barrel Culverts Cleveland, T.G., Strom, K.B., Barnes, W. J., and Dixon, J. V. 2013a. Texas Department of Transportation, Research Report 0-6549-1.(FHWA/TX-14/0-6549-1)

Empirical Flow Parameters -- A Tool for Hydraulic Model Validity Assessment Cleveland, T.G., Strom, K.B., Sharif, H., and Lui, X. 2013b. Texas Department of Transportation, Research Report 0-6654-1. (FHWA/TX-14/0-6654-1)

Development and Delivery of Server-Side Water Resources Models Using Web-Based Interfaces Neale, C. M., 2018. Doctoral Dissertation, Department of Civil, Environmental, and Construction Engineering, Texas Tech University, Lubbock, Texas 236p

Database and Source Codes

Solids in Rivers Database File (.csv) Solids (in suspension) database developed in Cleveland et. al. 2013a. This web application interpolates from this database directly to produce solids flux in rivers.

Simplified Watershed Properties File (.csv) Derivative database developed in Cleveland et. al. 2013b. (ASCII, comma delimited)
Simplified Watershed Properties File (.xlsx) Derivative database developed in Cleveland et.al. 2013b. (MS Excel)
Simplified Watershed Properties File (.pdf) Derivative database developed in Cleveland et.al. 2013b. (Adobe PDF)

Texas Stream Hydraulics File (.csv) Velocity database developed in Cleveland et. al. 201>

Database Estimation using Minkowski Distance

Enter values for all cells. Exponent n=1 is the L1 Norm (Also known as Manhattan Distance or Taxicab norm) Exponent n=2 is the L2 Euclidean Norm; Suggested Neighbor count to use is between 3 and 10; The graphic always uses 5 but the report table will accept other values.

If you receive server error enter all 1 values, it should return a result (meaningless, but a test of working script)

Enter Value for Slope (S):

Enter Value for Mean Particle Diameter (D50):

Enter Value for Discharge (Q):

Enter Value for Mean Section Velocity (U):

Enter Value for Exponent (n):

Enter Value for Neighbor Count (N):

Add Record and Update

Enter values in all cells. Missing data should be given a value of NA, the script will parse this value to preserve database structure.
Enter the Create-Read-Update-Delete(CRUD) Password :
Author (source): Location (of study):
Q_m3_s: q_m2_s:
U_m_s: W_m:
H_m: R_m:
S_m_m:
D16_m: D50_m:
D84_m: D90_m:
Sorting:
Rhos_kg_m3: Rho_kg_m3:
qb_kg_m_s: C_ppht:
Froude: GammaS_N_m3:
GammaF_N_m3: Tau0_kg_m_s2:
TauStar: Ustar_m_s:
ManningN:
WP_m: A_m2: