view artifacts/src/main/java/org/dive4elements/river/artifacts/model/sq/SieveArray.java @ 6152:0587819960c3

Waterlevel differences & bed height differences: Add new model LinearInterpolated intented to unify the two very similiar calculations. The focus of the current implementation is correctness and not speed! The fact that the data sets more mostly sorted by station is not exploited. Doing so would improve performance significantly.
author Sascha L. Teichmann <teichmann@intevation.de>
date Sun, 02 Jun 2013 17:52:53 +0200
parents af13ceeba52a
children 0737573aa9ac
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/* Copyright (C) 2011, 2012, 2013 by Bundesanstalt für Gewässerkunde
 * Software engineering by Intevation GmbH
 *
 * This file is Free Software under the GNU AGPL (>=v3)
 * and comes with ABSOLUTELY NO WARRANTY! Check out the
 * documentation coming with Dive4Elements River for details.
 */

package org.dive4elements.river.artifacts.model.sq;

import java.util.Arrays;

import org.apache.log4j.Logger;

public class SieveArray
{
    private static final Logger log =
        Logger.getLogger(SieveArray.class);

    public static final double EPSILON = 1e-8;

    public static final double [] SIEVE_DIAMETERS = {
        100d,   63d,  31.5d,    16d,
          8d,    4d,     2d,     1d,
        0.5d, 0.25d, 0.125d, 0.063d
    };

    protected double [] loads;
    protected double [] normLoads;

    public SieveArray() {
        loads = new double[SIEVE_DIAMETERS.length+1];
        normLoads = new double[SIEVE_DIAMETERS.length+1];
    }

    public void doSieving(Sieve s) {

        double diameter = s.getDiameter();

        for (int i = 0; i < SIEVE_DIAMETERS.length; ++i) {
            if (diameter >= SIEVE_DIAMETERS[i]) {
                loads[i] += s.getLoad();
                return;
            }
        }
        loads[loads.length-1] += s.getLoad();
    }

    public double totalLoad() {
        double sum = 0d;
        for (double load: loads) {
            sum += load;
        }
        return sum;
    }

    public void calculateNormLoads() {
        double total = totalLoad();
        if (Math.abs(total) < EPSILON) {
            System.arraycopy(loads, 0, normLoads, 0, loads.length);
            return;
        }
        total = 1d/total;
        for (int i = 0; i < normLoads.length; ++i) {
            normLoads[i] = total*loads[i];
        }
        log.debug("calculated norm loads: " + Arrays.toString(normLoads));
    }

    public void adjust(double eight, double four) {
        this.normLoads[4] = eight;
        this.normLoads[5] = four;
    }

    /**
     * Gets the loads for this instance.
     *
     * @return The loads.
     */
    public double[] getLoads() {
        return this.loads;
    }

    /**
     * Gets the loads for this instance.
     *
     * @param index The index to get.
     * @return The loads.
     */
    public double getLoads(int index) {
        return this.loads[index];
    }

    /**
     * Gets the normLoads for this instance.
     *
     * @return The normLoads.
     */
    public double[] getNormLoads() {
        return this.normLoads;
    }

    /**
     * Gets the normLoads for this instance.
     *
     * @param index The index to get.
     * @return The normLoads.
     */
    public double getNormLoads(int index) {
        return this.normLoads[index];
    }

    public double sandNormFraction() {
        double sum = 0d;
        for (int i = 7; i < normLoads.length; ++i) {
            sum += normLoads[i];
        }
        return sum;
    }

    public double coarseNormFraction() {
        double sum = 0d;
        for (int i = 0; i < 4; ++i) {
            sum += normLoads[i];
        }
        return sum;
    }

    public double gravelNormFraction() {
        double sum = 0d;
        for (int i = 4; i < 7; ++i) {
            sum += normLoads[i];
        }
        return sum;
    }
}
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