eChapters

Abstract
 
Opencast mining destroys the original land ecosystem and microbial community due to mining and stockpiling of mine rejects on adjoining land, which is a matter of great environmental concern. Mining creates formation of wastelands, formation of gullies, ravines, overburdens, reduced water infiltration and increased runoff. Reclamation of mined out areas is often difficult due to its chemical, physical and biological traits. Absence of topsoil is the most common feature of the mine spoils dumps. Arbuscular mycorrhizal fungi (AMF), the synonym of VAM fungi, are important microbes of soil that form symbiotic association with most of the terrestrial plants on the earth. Observations led to use of legume microsymbionts as biological substitutes for fertilizers. AMF diversity increases with species diversity of plants as the potential number of association increases. Dominant arbuscular mycorrhizal fungi can prevent the invasion of non-mycorrhizal plants on land where they have established symbiosis and promote their mycorrhizal host.

Abstract

Sabatayn basin is one of the two mature basins producing oil and gas in Yemen. Due to the recent decline in oil production, the exploration activities have been extensively concentrated mainly on these two basins (Sabatayn and Sayun-Masilah). So, this present study has been conducted to evaluate the exploration potential of the remaining trap areas within these mature basins. Fractured basement of reservoir becomes very attractive exploration target in Yemen recently, after the recent discoveries of basement fractured oil fields. As the evaluation of basement traps needs time and fund, to reduce the same, this research study uses a new technique which was devised with the help of Geoinformatics by analyzing the surface and subsurface lineaments effectively. In this study, a satellite image Enhanced Thematic Mapper (ETM+7) based analysis was conducted for extracting surface lineaments, and for the subsurface lineaments, the basement lineaments were extracted from seismic, magnetic and gravity data. An orientation analysis of these surface and subsurface linear features was performed to detect the basic structural grains of the study area. The correlation between these structural grains and subsurface oil and gas traps was performed to understand the connectivity to the reservoirs. This paper discusses in detail about the same and the importance of using surface and subsurface lineament analysis for delineating hydrocarbon reservoirs in the study area.

The UN designation of 2013 as the International Year of Water Cooperation aptly demonstrates growing gap between water supply and demand. These symptoms, which are already visible in a few regions around India, are soon to assume a national proportion and may become permanent feature of the water sector in the country, unless suitable policies are adopted quickly to manage water demand and supply at different levels. Water demand is growing fast due to a rapid population growth and economic activity, but water supply is not growing at the same rate because of serious ûnancial and physical limits for supply augmentation. Water resources developed at present amount to about 680 km³, which constitutes 61% of the utilizable potential of 1122 km³. However, it is difficult to add supply beyond this level due to heavy costs, environmental concerns and interstate water conûicts. In contrast, the total demand for water is projected to reach 784–843 km3 by 2025 and 973–1180 km³ by 2050 (Ministry of Water Resources, 2000). Recent research studies predict that, if the demand– supply gap continues to increase, nine basins that have over four-ûfths of the total water use in India will face physical water scarcity by 2050 (see Amarasinghe et al., 2007). For a heavily populated, monsoon-dependent and rural-based country, such as India, water scarcity of this magnitude will not only lead to serious water conûicts among sectors and regions, but also have a devastating effect on the food and livelihood fronts.

5.1 INTRODUCTION

A GIS database without single error is reliable for decision making. There are various possible sources of errors in GIS. If an error is not removed during scanning, the final output will also have that error. Besides whatever the work has been carried on wrongly scanned map it will add to errors because the source map itself's erroneous. This is like garbage in garbage out proverb. If wrong data is taken for analysis it will only result in wrong output. Hence it is important to remove error at every stage of GIS work. It is important to locate the sources of errors so that due care may be taken while handling a project.

5.2 ORIGINAL SOURCES OF ERRORS

All the equipments which give attributed data and spatial data will give errors. Before going to field or before collecting data all the related instruments should be calibrated properly. Also the instrument should not cross the permissible error. Besides these while using data from diversified sources errors pertaining to those instruments are mixed to give a different result. When very good accuracy is desired data should be collected from high end equipments. Even if one adds the data from a comparbly less accurate instrument to the data of many accurate instrument is then the result obtained finally will not reliable enough. Global Positioning System (GPS) is available with mm accuracy to meters accuracy. Also surveying with suitable map projection and datum is important; otherwise the result will be wrong. Survey instruments posses some inaccuracy and when a person is using it he should have the accuracy over the instrumental like rain gauge, water level recorders which give attributed data which should be checked for instrumental inaccuracies and method of data collection before using it. Likewise satellite and aerial sensors miss some data and some error are inherent. Such errors should be removed before moving ahead. Errors are resulted due to map reduction, enlargement, data editing and computation method adopted. At the same mapping instruments also possess inaccuracies. When after certain interval a person is going for survey, the registered object may have been changed. Many new features might have come up. Hence the established control points are changed and if the wrongly placed control points are taken for survey then the result itself will be wrong. If proper resolution is not available in the instruments, then the instruments may not capture the minute details which are required.

Abstract

The state of Tamil Nadu has a low easterly gradient slope and there are number of rivers, big and small originate from the west flow towards east south easterly and confluence the Bay of Bengal. These were grouped into seventeen major and minor river basins, the Cauvery being the largest basin and the river is also a near perennial river. These river basins receive rainfall both from the southwest and northeast monsoons. The state has over 40,000 surface water bodies and number of major dams and reservoirs. Even then, since the rainfall of the north east monsoon, the major source of water source to these basins, occurs in short span of few days with high rainfall, neither adequate storage is there to store them nor the recharge possibility is available, thus all leading to flooding and wastage. The 40,000 and odd water bodies are heavily silted and polluted too. The paper provides an over view of all these, basin wise, and in addition, strongly advocates intra state river linkage and improvised irrigation management as the best option to save the state from its water deficiency.

Introduction

Watershed management has emerged as an important research area in recent years. Understanding the morphology of the catchment is one of the widely used methods for watershed management. Morphometry is the measurement and mathematical analysis of the configuration of the earth’s surface, shape, and dimension of its landforms (Agarwal 1998; Obi Reddy et al., 2002). The study of watershed is very useful in drainage basin evaluation, silt erosion control, flood frequency analysis, watershed prioritization, natural resources management, and conservation (Waikar and Nilawar, 2014). The significance of morphometric analysis is highlighted in the basins that are either un-gauged or difficult to access. The morphometry is usually analyzed through measurement of linear, aerial, relief, gradient of channel network, and contributing ground slope of the basin (Magesh et al., 2012). The hydrological behavior of a basin can be easily determined through the areal parameters (Mahala, 2020.) The evolutionary history of any basin can be best understood through the implication of different relief morphometric measures of drainage basin (Sharma and Sarma, 2013).

GIS and RS techniques are proven convenient methods for morphometric characterization of sub-watersheds and prioritization of watersheds. As the satellite images provide a synoptic view of a large area, the RS and GIS methods become very useful in the analysis of drainage basin morphometry (Rai et al., 2017). Thus, the morphometric analysis using spatial techniques has emerged to be the fast and efficient method as compared to most of the conventional methods (Rao et al., 2010) such as manual extraction of drainage network and assigning the stream order from a published Survey of India topographic map. The present study aims at using remote sensing and GIS technology to compute various parameters of morphometric characteristics of the Chaliyar River basin.

Introduction

The Indo-Gangetic Plain is one of the world’s major foodgrain producing regions. The Indian states falling under this region, viz. Punjab, Haryana, Uttar Pradesh, Himachal Pradesh, Bihar and West Bengal, are also the major rice-wheat growing states spread over 10.5 million hectares in the country. During the past 30 years, agricultural production growth in this region has been able to keep pace with population demand for food in the country mainly due to adoption of green revolution technologies inducing yield growth, followed by area expansion. But this opportunity is ceasing very fast due to limited scope for increasing the availability of arable land and natural resources. The other issue is the conservation of the basic resources of land and water for sustainability of agriculture in the Indo-Gangetic Plain. It is generally believed that the rice-wheat system has strained the natural resources in this region and more inputs are required to attain the same yield levels (Swarup and Singh, 1989; Kumar and Yadav, 1993; Lal et al., 2004). It is, therefore, imperative now to promote alternative technologies that would help conserve the much needed but gradually depleting natural resources while boosting productivity growth in the long-run by maintaining soil health and production environment. As a part of this strategy, conservation agriculture and resource conserving technologies play a major role in sustaining and enhancing the productivity of the rice-wheat system at a lower cost of production.

Introduction

Generally speaking, Conservation Agriculture (CA) includes minimum soil disturbance, permanent soil cover, and crop rotation (Hobbs, 2007). CA has been recognized as an efficient way for sustainably increasing crop yields in different countries (Hobbs et al., 2008; Pittelkow et al., 2015). Farmers following CA will face several managerial problems, and weed management is the most challenging (Wall, 2007; Giller et al., 2009; Farooq et al., 2011). Weed growth in an agroecological system and crop yields are inversely related; so, knowledge on weed dynamics and weed management are vital for achieving the possible yield gains in CA systems. There are few studies that examined both the direct and interactive effects of the 3 basic CA principles on weed dynamics (Chauhan et al., 2012; Giller et al., 2009; Farooq et al., 2011).

For comprehensive understanding the current topic, a diagrammatic representation of an annual weed’s life cycle (Fig. 1) will be useful and the same corresponds to four likely areas managing the weeds:

The scientific community has long relied on the expertise of trained researchers and professionals to advance our understanding of the world. However, with the increasing complexity of global challenges, such as climate change, biodiversity loss, environmental degradation, and public health concerns, it has become clear that a new approach is needed. The traditional model of scientific research, where experts work in isolation to collect and analyze data, is no longer sufficient to address the scale and urgency of these challenges. Citizen Science, which involves the active participation of the public in scientific research, has emerged as a powerful tool for addressing these challenges. By leveraging the collective efforts of citizens, researchers can tap into a vast pool of knowledge, skills, and perspectives, ultimately leading to more inclusive, equitable, and effective scientific inquiry. From monitoring water quality and tracking climate patterns to identifying species and analyzing satellite imagery, citizens are making meaningful contributions to scientific research (Fig. 3.1).
The benefits of Citizen Science are numerous. It provides opportunities for citizens to engage with scientific research, promoting a deeper understanding of the scientific process and its applications. It also enables researchers to collect data on a larger scale and in more diverse locations, leading to more comprehensive and accurate findings. Furthermore, Citizen Science has the potential to increase public trust in science, promote community engagement, and foster a sense of ownership and responsibility among citizens for environmental and societal issues.

General Introduction 
Growing populations and industrialisation around the world are driving up energy demand, which increases reliance on fossil fuels. The World Energy Forum projects that global stocks of fossil fuels like coal, natural gas, and oil will run out in less than ten years and decades [1]. Fossil fuels account for 88.1% of total energy consumption; they include coal (43%), oil and other liquids (23%), waste (6%), natural gas (6%), and biomass (24%). Hydroelectricity, and nuclear energy, on the other hand, share relatively small percentages of energy (1% and 2%, respectively) [2]. Petro-diesel, also known as petroleum diesel, is currently utilized as a fossil fuel and is created when crude oil is fractionally distilled at temperatures between 250°C and 350°C under atmospheric pressure. Once heated to a certain degree, the different types of diesel fuel are formed via the vaporization of hydrocarbon chains and the isolation and blending of constituents in a prescribed ratio. Typically, 25% of the petrodiesel’s composition consists of aromatic hydrocarbons and 75% of saturated hydrocarbons. The combustion of diesel fuel releases sulfur, nitrogen, and particulate matter into the environment, which are all present in significant concentrations in petro-diesel. Moreover, burning fossil fuels has resulted in several environmental problems, such as greenhouse gas emissions (GHG), which have a major impact on global warming, climate change, and a host of other chronic illnesses [3]. India is ranked as the fourth-biggest importer and user of petroleum products and crude oil. With demand for oil reaching about 4.1 million gallons per day in 2015, there is a growing disparity between India’s oil supplies and supply. The IEA analysis predicts that beyond 2050, there won’t be any oil reserves and that India’s oil consumption will increase by 6.0 million barrels per day to 9.8 mg/d in 2040 [4]. Two-thirds of the growth in oil demand and 16% of the increase in

Abstract

The development index and the developmental planning of a Country/Nation mostly depend on its natural resources potential including water resources. The fast emerging Remote Sensing and GIS technology has substantially reduced the problems of water resources management including groundwater. The groundwater is distinctly controlled by western crystallines, central Tertiary sandstone and eastern Quaternary sediments in Pudukkottai district. While the groundwater behavior in crystallines is dominantly controlled by secondary porosity, in Tertiary formations and Quaternary sediments, it is controlled primarily by the primary porosity and by secondary porosities also if these are structurally deformed.

Nanotechnology has emerged as a revolutionary force in the food industry, providing innovative solutions to improve food quality, safety, and usefulness. Researchers have devised novel ways to numerous issues in food production and preservation by harnessing nanoparticles' unique traits, such as their high surface area-to-volume ratio and customizable physicochemical characteristics. Nanotechnology-enabled food additives provide a wide range of benefits, including improved texture, taste, color, and nutritional value, as well as increased shelf life and microbiological safety. Furthermore, nanoparticles are effective transporters for bioactive chemicals, allowing for targeted and regulated release within the food matrix.

Farmers’ data collection can be a valuable input for the development of agrometeorological advisories because it provides a unique perspective on the local weather and climate conditions that affect their crops and farming practices. Farmers have a deep understanding of the local environment and are often able to observe subtle changes in weather patterns and soil conditions that may not be captured by traditional meteorological instruments. By collecting data on weather patterns, soil moisture, crop growth, and other factors, farmers can provide valuable insights into the complex relationships between weather, climate, and agriculture. This data can be used to improve the accuracy and relevance of agrometeorological advisories, which are critical for helping farmers make informed decisions about planting, irrigation, pest management, and other aspects of crop management. By incorporating farmers’ data into the development of these advisories, researchers and policymakers can create more effective and targeted recommendations that take into account the specific needs and conditions of local farming communities. Furthermore, the collection of farmers’ data can also help to identify gaps in existing meteorological data and provide insights into the impacts of climate change on local agriculture. This information can be used to inform the development of more effective climate adaptation strategies and to support the creation of more resilient and sustainable agricultural systems.
In addition, the involvement of farmers in data collection can also help to build trust and promote the adoption of agrometeorological advisories. By working closely with farmers and incorporating their knowledge and expertise into the development of these advisories, researchers and policymakers can create more effective and sustainable solutions that meet the needs of local farming communities. Overall, the collection of farmers’ data can provide a valuable input for the development of agrometeorological advisories, helping to create more effective, targeted, and sustainable solutions that support the needs of local farming.
5.1 Low Cost Instrumentation
The use of low-cost instrumentation in agriculture is essential for enabling farmers to collect accurate and reliable data on various parameters that affect crop growth, soil health, and farm management. In many developing countries, smallholder farmers lack access to expensive and sophisticated equipment, making it difficult for them to make informed decisions about their farming practices

Introduction

The vast majority of climate change impacts and the overall impact of climate change on rice production are likely to be negative. Overwhelming scientific research and evidence have shown that the climate is ongoing. According to the International Food Policy Research Institute (IFPRI) report Climate Change: Impact on Agriculture and Costs of Adaptation forecasts there will be an increase in the net price of rice between 32 and 37% as a result of climate change by 2050. They also show that yield losses in rice could be between 10 and 15%. While there is still ongoing scientific exploration into climate change, IRRI recognizes two universal trends predicted by all climate change models viz., temperatures will increase, resulting in more heat stress and rising sea levels and there will be more frequent and severe climate extremes.

Crowdsourcing is a concept that involves obtaining information, ideas, or services from a large group of people, often through an online platform. This approach has become increasingly popular in recent years, particularly with the rise of social media, mobile devices, and other digital technologies. In the context of agriculture, crowdsourcing can be used to collect data on various aspects of farming, such as crop yields, soil conditions, and weather patterns. This data can be used to provide farmers with valuable insights and advice on best practices for farm management. One of the key benefits of crowdsourcing in agriculture is that it allows farmers to share knowledge and expertise with each other. By pooling their collective knowledge and experience, farmers can gain a better understanding of the challenges and opportunities facing their industry, and develop more effective strategies for overcoming them (Fig.7.1).
For example, a crowdsourcing platform might allow farmers to share data on crop yields and soil conditions. This data could then be used to create detailed maps of soil types and conditions, which could be used to provide farmers with advice on optimal planting and harvesting schedules.
Another example of crowdsourcing in agriculture is the use of mobile apps to collect data on weather patterns. By collecting data from a large number of

Extreme weather events, such as hurricanes, droughts, and floods, have become increasingly frequent and intense in recent years, posing significant threats to agricultural productivity, food security, and rural livelihoods. The impacts of extreme weather events can be devastating, resulting in crop failures, livestock deaths, and damage to infrastructure and property. Traditional approaches to dealing with extreme weather events have often focused on top-down, expertdriven solutions, where external experts provide advice and guidance to farmers and rural communities on how to prepare for and respond to extreme weather events. However, these approaches have often been criticized for being ineffective, unsustainable, and neglecting the needs and perspectives of local communities.
In recent years, there has been a growing recognition of the importance of interactive community approaches for dealing with extreme weather events. These approaches involve working closely with local communities to identify their needs, priorities, and capacities for dealing with extreme weather events. They also involve empowering local communities to take ownership of their own disaster risk reduction and management efforts, through the provision of training, resources, and support.
A critical component of these interactive community approaches is the development and implementation of Early Warning Systems (EWS). EWS are designed to provide timely and accurate warnings to communities about impending extreme weather events, allowing them to take necessary precautions to minimize losses and protect their lives and livelihoods (Fig.8.1).

Introduction

Arunachal Pradesh is the largest hill state of North Eastern Himalayan Region having the total geographical area of 83,743 Sq Km, stretching between 26o28’ to 29o28’ N latitude and 91^º35’ to 97^º27’ E longitude and is endowed with a unique geo-physiography. Topographically, Arunachal Pradesh is generally a hilly region, with entire state lies on the mighty Himalayan and Patkoi ranges. The elevation of the hills ranges from 60 meters to over 7000 meters. Mt. Kangto (7090 m), Mt. Nyegi Kangsang (7050 m) and Mt. Gorichen (6488 m) are three highest peaks of Arunachal Pradesh. The Himalayan mountain system divides the state mainly into five river valleys: the Kameng, the Subansiri, the Siang, the Lohit and the Tirap. These rivers, along with innumerable rivulets traversing through innumerable hill systems treading through the rugged terrains, steep hills, valleys and ultimately drain down to from two major river systems and valleys of the region__ the Brahmaputra and the Barak. The state has rich biological as well as cultural diversity.

Abstract

Radon being the radioactive daughter product of Uranium; the interrelationship between U and Rn has been established in the present study. It is found that Radon coexist with Uranium in the region. A total of 61 samples were collected spatially from hand pumps and bore wells of the study area. Major ions such as Ca²⁺, Mg²⁺, Na⁺, K⁺, F^-, Cl^-, HCO^3-, NO^3-, H₄SiO₄,PO₄- and SO₄^2- and U, Rn were analysed. The lithological influence of U and Radon occurrence is also highlighted. Hard rocks especially Granites are the source for both U and Rn in the study area whereas the lack of correlation exist between U and Rn in sedimentary terrain can be attributed to difference in flow conditions and chemical properties of these elements. 

Key words: Radon, Uranium, Granite, Ground water, Source.
 

Introduction

The 21st Century agriculture needs knowledge integration and maximum input efficiency. Crop simulation models offer possibilities to evaluate and target agricultural information towards sustainability (Elliott et al., 2015; Van Oort and Zwart, 2018). All the modern day’s crop growth models not only predict the growth and yield, but also they are strong Decision Support System (DSS). Due to the impact of climate change, land degradation and biodiversity loss, the agricultural production system becomes the most vulnerable one (Araya et al., 2017). Crop intensification is inevitable to meet the ever-increasing food demand for the billions of populations. It leads to deterioration of soil physical health, reduction of the organic carbon percentage and micro-environmental pollution. Conservation agriculture (CA) has a great potentiality to enhance the inherent resilience against all sorts of degradation and possess the potentiality to regenerate the degraded lands (Haggblade and Tembo, 2003). CA is a farming system that maintains a permanent soil cover to assure its protection, avoids soil tillage, and cultivates a diverse range of plant-species to improve soil conditions, reduce land degradation and increase water and nutrient use efficiency (Friedrich et al., 2012; Sapkota et al., 2015; Bell et al., 2019; Steward et al., 2019). For last few decades, climate change becomes a serious threat to agriculture in context to influence crop and livestock production, hydrological balances, input supplies and other components of agricultural system (Kabir, 2015; Kumar and Kumar, 2016). Agriculture is inherently sensitive to climatic conditions and conservation agriculture may be the only answer to combat the negative impact of climate change.

Agriculture serve as a backbone in improving economic growth of a country as well as it provides a base in meeting various needs of people in direct and indirect ways. The recent advancement in nanotechnology has shown a path to develop traditional agriculture into a sustainable practice. Several nanochemicals emerged as promising agents for better plant growth, used as fertilizer, pesticides, control weeds and also used as antimicrobial agents in food packaging. Nanotechnology may act as sensor for checking soil health of agriculture fields.