Speaker: Sagar Dattatray Patil
Sand mining is a direct cause of erosion and impacts the local ecosystem and habitat. Therefore, in 2013, the Government of India banned illegal sand mining from river beds. As a result, use of Manufactured (M) sand has increased in construction and other sectors. However, its applicability is yet to be explored in wastewater & sludge treatment. M sand has many advantages over river sand, viz. lesser cost, easier availability & less harmful impacts on the environment. These advantages, coupled with its characteristics and performance in treatment, are the key factors for considering its applicability in sludge treatment (sludge drying beds).
1. Introduction
Sand media is an integral part of water, wastewater and sludge treatment. It is used in treatment processes, such as filtration, adsorption, biological degradation etc. This study is aimed at understanding the use of M sand as filter media in (two types of) Sludge Drying Beds, specifically Un-Planted & Planted Drying Beds (UDB & PDB) where river sand is used as filter media.
Manufactured sand OR Crushed Stone sand (IS 383-1970)
Technology overview
Sludge Drying Bed (SDB) is a shallow basin filled with filter media, usually sand & gravel. It is used for sludge treatment in wastewater treatment plants and also in Faecal Sludge (FS) treatment. It dewaters sludge by draining through filter media & by evapotranspiration to give percolate (liquid) and dried sludge as by-products.
Typical sand layers in SDBs (from top to bottom)
Un-planted Drying Bed (UDB) |
Planted Drying Bed (PDB) |
•0.3-1.2 mm fine sand for 150 mm
•5-8 mm fine gravel for 75-100 mm
•12-20 mm medium gravel for 75-100 mm
•30-50 mm coarse gravel for 100-150 mm
|
•0.3-1.2 mm fine sand for 200-300 mm
•5-8 mm fine gravel for 100 mm
•12-20 mm medium gravel for 200-250 mm
•30-60 mm coarse gravel for 100-150 mm
|
2. Methods
Experimental Setup
Four lab-scale models had been developed,
Features of lab-scale models are,
3. Results
Comparison: Characteristics of M sand and vs. river sand
Parameter |
Unit |
Criteria |
River sand |
M sand |
Shape |
- |
Sub-angular to round |
Sub angular |
Sub-angular to Angular |
Colour |
- |
- |
Brown |
Whitish grey |
Effective grain size |
mm |
0.3 to 1.2 |
89.2 % |
88.5 |
Specific Gravity |
- |
- |
2.58 |
2.61 |
Bulk density |
g/cc |
- |
1.55 |
1.47 |
Porosity |
% |
- |
66.45 |
43.68 |
Coefficient of Uniformity |
- |
3-5 |
2.79 |
3.13 |
Silt Content |
% |
< 6 |
0.56 |
1.12 |
Hydraulic Conductivity |
m/s |
10-3 to 10-4 |
3.2 × 10-4 |
4.3× 10-4 |
Performance evaluation and comparative study of lab-scale models of UDB & PDB
Parameters |
Unit |
Inlet |
Percolate (monitored up to 72 hrs.) |
|||
UDB |
|
|||||
River |
M |
River |
M |
|||
Total Suspended Solids (TSS) |
mg/L |
13,800-46,500 |
3-188 |
7-103 |
10-84 |
4-43 |
Fixed Solids (FS) |
mg/L |
9,447-30,843 |
1,093-2133 |
723-1,733 |
1,007-2,757 |
1,040-2,443 |
Total Solids (TS) |
mg/L |
28,690-81,760 |
1,307-4,453 |
843-2,640 |
1,407-4,803 |
1,497-5,477 |
Biochemical Oxygen Demand |
mg/L |
5,000-10,000 |
30-40 |
25-30 |
20-25 |
15-20 |
Chemical Oxygen Demand |
mg/L |
14,800-54,800 |
166-410 |
110-383 |
84-312 |
121-221 |
E-Coli |
MPN/ 100 ml |
54,000 |
9,300-21,000 |
1,500-7,500 |
2,300-3,600 |
1,500-2,900 |
Turbidity |
NTU |
- |
4-69 |
6-60 |
8-62 |
4-26 |
Quantity of percolate |
% |
100 |
25-52 |
35-50 |
45-50 |
40-55 |
Dried sludge |
Moisture content (%) |
64-68 |
62-70 |
|
||
Weight (Kg) |
3-4 |
3.3-4 |
|
1. Conclusions
2. Implications
Given the findings from the study, M sand is now being used as a filter media in two more projects, that are under construction, in the Indian states of Madhya Pradesh and Chattisgarh. In these locations, the cost of M sand is approximately 40% less than the cost of river sand. Along with cost, the availability of river sand becomes itself is a supply problem - either due to illegal mining or due to inaccessibility when the river bed gets flooded. Hence, in such scenarios, M sand can be considered as an alternative to river sand in unplanted and planted drying beds - saving the environment, reducing costs, reducing procurement delays and also improving treatment efficiency.