5.2. Groundwater Table and Tube Well Analysis:
Groundwater table analysis has been conducted using data obtained from the Central Ground Water Board for the years 2010 and 2020. A comparative analysis reveals a significant decline in the deepest levels, from 18 meters to 24 meters, over the past decade (Refer Fig. 2). Particularly noticeable fluctuations have been observed in Meerut Tehsil, the Daurala area in Sardhana Tehsil, and the southwestern part of Mawana Tehsil. Among the 12 blocks in the district, six fall into the critical to semi-critical category in terms of groundwater development stage, posing future challenges for agricultural production reliant on tube well irrigation [7]. Currently, groundwater, the sole source of fresh water in Meerut city, is receding at a rate of half a meter annually, a trend demanding urgent attention and action.
Given the region's significant reliance on tube wells for irrigation, the locations of government tube wells have been mapped from 1930 to 2020. A comparison of these data sets reveals not only an increase in the quantity of tube wells in the district but also an indication that current tube wells reach depths of up to the third stratum of the ground, approximately 60 meters.
5.1.1. Soil Moisture Content:
In light of the escalating trend of declining groundwater levels and the proliferation of tube wells across the district, it becomes imperative to evaluate their impact on land degradation. Mapping of soil moisture content, derived from data sourced through the WRIS-India online portal. The analysis reveals that soil moisture content at depths less than 0.2 meters falls within the very dry to dry category throughout the district. This observation suggests that the increasing number of tube wells and the diminishing groundwater tables not only affect water resources but also contribute significantly to land degradation.
5.1.2. Groundwater resource Fertilizer Pollution points:
An additional concern for the water environment is the escalating trend of fertilizer consumption within the district, with current levels ranging between 200–250 kg/ha and increasing at a rate of 7% every three years [26]. To pinpoint areas of fertilizer pollution, data on nitrate concentration in groundwater resources was analysed. Excessive fertilizer application leads to elevated nitrate concentrations, exceeding the permissible limit of 45 mg/l across the district. Numerous studies have highlighted the repercussions of rising nitrate levels in groundwater, including adverse health effects and soil degradation. This is evidenced by the surge in cancer cases reported in the district [22] and the observed soil acidity levels (PH: ranging from 5.9–6.9) [20].
5.1.3. Surface water Quality Analysis:
The Kali Nadi River traverses the district, originating at Khatuali and converging with the Ganga at Kannauj, as depicted in Fig. 3. This stretch within the Meerut district is identified as polluted, according to assessments conducted by the UP-Pollution Control Board. The primary contributors to this pollution, identified through Fig. 3, are nine sugar industries situated in the catchment area of the contaminated river stretch. These industries collectively consume 16 MLD (Million Liters per Day) of groundwater, while discharging 8 MLD of effluent into the Kali Nadi [28].
5.1.4. Water Degraded Zones
After analyzing the various quantitative and qualitative parameters mentioned earlier, an overlay analysis was conducted to delineate water-degraded zones within the district, as illustrated (Refer Fig. 5). Layers representing groundwater tables, fertilizer pollution, and soil moisture content were given equal weightage during the overlay analysis in ArcGIS. Overall, at the district level, the primary water environment-related issues are concentrated in Meerut Tehsil, one of the three tehsils comprising the district.
5.1.5. Food Environment Analysis
Cropping Pattern
The cropping pattern within the district has undergone significant changes over time, influenced by both climatic and non-climatic factors. There is a shift in crop cultivation from 1970 to 2020. During this period, there has been a notable increase in the sown area dedicated to sugarcane, accompanied by a decrease in the cultivation of wheat, maize, and pulses. Conversely, the areas under rice and potato cultivation have remained relatively stable over the last five decades. This shift can be attributed to farmers' inclination towards water-intensive and cash crops, particularly sugarcane, following improvements in irrigation facilities within the district.
Food Availability v/s Requirement
Analyzing the food requirements of the district's population and assessing the extent to which these requirements are met through local production are essential steps in understanding the food system, as depicted in Fig. 4.
For this analysis, the 2011 population is projected to estimate the 2020 population, and the per capita food requirement for the projected 2020 population is calculated based on the Indian Council for Medical Research (ICMR) standards. Eight food groups, including Sugar and jaggery, Oil and fat, Fruits, Milk, roots and tubers, vegetables, pulses, and cereals, as defined by ICMR, are considered. Calculations for these food groups assume the requirement of adults for the entire population. The yearly per capita requirement for each food group is determined by multiplying the standard requirement by the population and 365 (the number of days per year). Data on vegetable and fruit crop production, sugar production, and cereals, pulses, oils, and fats production are collected from the Meerut Horticulture Department, Cane Board, and Agriculture Department, respectively. The district's in-house production of sugar, milk, fruits (mango), and tubers (potato) exceeds the requirements, while for all other food groups, the district relies on imports. Therefore, in case of any obstruction in the import of food commodities due to external factors, the region would need to rely on sugar and milk to meet its food demand.
5.1.6. Food Kilometer Mapping
Food Kilometers or Food miles is a method used to determine the distance food travels before reaching the consumer. Given that the region relies on areas outside its boundaries for food supply, except for sugar and milk, it is important to understand the quantity and sources of the region's food. Studying the food supply system of the region is crucial for assessing its food security. The provision of food to demand areas varies significantly based on factors such as the size of urban centers, historical and cultural context, regional ties, and connections with surrounding rural areas. Therefore, understanding the structure of food provenance is essential for conceptualizing food supply chains. Food provenance refers to knowing the origin of food, how it was produced, transported, and distributed to consumers. Food provenance zones can be categorized based on concentric zones extending from urban to rural areas, regionally to internationally, or other relevant contexts. Different food zones contribute varying proportions of food to the region. Mapping of food provenance zones for the Meerut Municipal Corporation area has been conducted based on expert surveys.
The analysis reveals that food provenance zones extend from within the district to a radius of up to 900 km, indicating a significant dependency on external sources for food. Importing food has direct implications on food prices due to transportation and associated costs, as well as indirect consequences such as food wastage and carbon emissions. However, it is possible to reduce food kilometers for items like vegetables and grains since the district's soil and climate favor their production. Although local farmers cultivate some food grains and vegetables, the quantity is limited. To better understand the challenges in cultivating and consuming vegetables and other food items, an analysis of the Agriculture Value Chain has been conducted at the Meso level.
5.1.7. Linking Water & Food Environment with Current Value Chain Process
Given the prevalence of sugarcane cultivation in the region, an examination of the current sugarcane value chain has been undertaken to assess its impact on the water and food environment. Mapping of sugarcane-intensive areas has been conducted (Fig. 5), computed based on the village-wise percentage share of sugarcane crop area out of the village's total net sown area. This map facilitates comparative analysis with various indicators of water and food environments, shedding light on dimensions of the value chain that are often overlooked.
5.1.8. Impacts on Water Environment
The initial comparison was made between the sugarcane crop intensity map and the zones of water degradation (Refer Fig. 5).
It can be inferred that the areas of water degradation coincide prominently with the sugarcane-intensive cropping areas. Additionally, the locations of tube wells are primarily concentrated within the identified hotspots. The analysis conducted in the surface water quality assessment has already been elaborated upon, detailing the implications of sugarcane processing units on the water environment in Fig. 3.
5.1.9. Impacts on Food Environment
On comparing the trend of sugarcane area with the area dedicated to food grains, it can be inferred that there has been an overall declining trend, resulting in a reduction of approximately 80% in the total food grains area since 1970. In contrast, the area under sugarcane cultivation has increased by almost 93% since the same period.
Crop yields for the main crops in the district were studied and compared with the Indian average to analyze the district's performance in crop production, as presented in Table No. 1. The average yield in Meerut district exceeds the Indian average for sugarcane, while for other crops, it is comparatively lower than the country’s average.
Table 1
Average Crop Yield, Meerut District [16]
Crop name
|
Meerut district
|
For India
|
Potential yield (highest in world)
|
SUGARCANE
|
700–900
|
715
|
1210 (Peru)
|
WHEAT
|
25
|
26.9
|
88.9 (Namibia)
|
RICE
|
23
|
30.3
|
97.1 (Egypt)
|
OILSEEDS
|
16
|
8
|
42.9 (Peru)
|
POTATO
|
75
|
108
|
108 (India)
|
PULSES
|
12
|
24
|
Not Available
|
Comparing the potential yield, which represents the maximum yield achievable worldwide, reveals that there is still room for improvement in crop yields through interventions. The potential yield is determined based on the highest yield recorded for a particular crop globally according to FAO statistics. While achieving the highest yield may not be feasible in India due to agro-climatic conditions, the existence of yield gaps suggests potential for increased yields not only in Meerut but throughout India.
Table 2
Crop wise requirement of Water, Fertiliser and Income generated per hectare
Crop Name
|
Area Share (%)
|
Production Share (%)
|
Growing Period
|
Water req. per growing period (mm)
|
Fertiliser req. (kg/ha)
|
Minimum Support Price (Rs. Per Quintal)
|
Yield (Quintals per ha.)
|
Income generated (Rs. per ha. )
|
Sugarcane
|
53
|
93
|
270–365
|
1500–2500
|
212
|
300
|
500
|
1,50,000
|
Wheat
|
32.5
|
04
|
120–150
|
450–650
|
136
|
1925
|
25
|
48,125
|
Rice
|
07
|
< 01
|
90–150
|
450–700
|
119
|
1868
|
23
|
42,964
|
Oilseeds
|
04
|
< 01
|
110–120
|
300–400
|
97
|
4425
|
16
|
70,800
|
Potato
|
02
|
02
|
105–145
|
500–700
|
120
|
800
|
75
|
60,000
|
Pulses
|
1.5
|
01
|
90–100
|
300–500
|
36
|
5100
|
12
|
61,200
|
Furthermore, an examination of total sugar production (848200 Tonnes) compared to the region’s demand reveals that only 10% of the total production is utilized locally, with the remaining 90% being exported to other areas. Given that sugarcane consumes 4–5 times more water and double the amount of fertilizer compared to other crops (Refer Table 2), the production of large quantities of sugar for trade contributes to the state's virtual water movement, which is particularly pronounced in Uttar Pradesh [29].