DEEPAK PATLE | JNKVV - Academia.edu (original) (raw)

Papers by DEEPAK PATLE

Indian Journal of Pure & Applied Biosciences, 2020

Classifying land use/land cover with its consequential analysis has gained due importance in the ... more Classifying land use/land cover with its consequential analysis has gained due importance in the recent time for land resource management. The main purpose of this research was to create a land use/land cover map of Kiknari nala watershed a tributary of Burner river basin using remote sensing and GIS techniques. The fundamental prerequisite in mapping land use/land cover is a high spatial resolution satellite image. Sentinel – 2B image was utilized for such purposes. The investigation took unsupervised K means classification approach as a means to obtain broad categories of LU/LC in ERDAS IMAGINE® 2011 environment. Additionally, the system of on-screen visual interpretation method aided in diluting the aforementioned categories to forests, agriculture, fallow land, waste land, habitation and water body. The LU/LC analysis portrayed that majority of watershed area is covered under agriculture (i.e. 33.85%) followed by fallow land (27.07%) and forests (22.53%). However, fallow land is having a considerable spatial extent over the watershed, such land can be undoubtedly converted into agriculture and other plantation purposes if water and human resources are easily available in adequacy.

Indian Journal of Pure & Applied Biosciences, 2020

INTRODUCTION Availability of utilizable natural resources (i.e. land and water) is declining prog... more INTRODUCTION Availability of utilizable natural resources (i.e. land and water) is declining progressively due to industrial expansion, growth of service sector and urbanization (Patil et al., 2016). Management and conservation of natural resources are critical and decisive to human well-being (Sharma et al., 2016). Their sensible utilization and supervision are supplementarily significant now than ever before to gratify the high demands of food production for the growing world (Sharma et al., 2010; Sharma & Seth, 2010). In India, the available land resource is 326.06 million ha out of which 172 million ha of land is facing severe land degradation issues pivotally involving soil erosion with some extent of primary and secondary salinization (Sharma et al., 2008).

International Journal of Agriculture Environment and Biotechnology, 2019

International Journal of Chemical Studies, 2020

Efficacy of soil and water conservation works are generally adjudged on the basis of changes in w... more Efficacy of soil and water conservation works are generally adjudged on the basis of changes in water level and reduction in soil erosion. A study of 20 years was conducted in Tikamgarh district of Bundelkhand region in which groundwater recharge was quantified and compared for pre project (Phase-1) and post project (Phase-2) periods on the basis of the average values. The trends in rate of change in groundwater recharge during pre and post phase were also worked out. Records of 100 Permanent Observation Wells were used to identify the trend of declining / rising water levels results in rising trend in about two thirds areas. Non parametric Mann-Kendall test yields rising trend in Phase-2 in 65 percent area and magnitude of Sen's slope revealed higher positive magnitude upto 0.025.

International Journal of Current Microbiology and Applied Sciences, 2019

Agriculture is the main stay of the people of Madhya Pradesh State. Water is essential for irriga... more Agriculture is the main stay of the people of Madhya Pradesh State. Water is essential for irrigation purposes, but its indiscriminate use can lead not only to shortages, but also to the deterioration of crop yields and soils. Ground water resource of a region is one of the building blocks for balanced economic development of the area, especially in an International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 12 (2019) Journal homepage: http://www.ijcmas.com

Journal of the Geological Society of India

Groundwater level fluctuations and trends can be used to estimate changes in aquifer storage resu... more Groundwater level fluctuations and trends can be used to estimate changes in aquifer storage resulting from the effects of groundwater withdrawal and recharge. These data can be used to address water management needs and to evaluate the effects of management and conservation programs. The study was divided in two periods; 1997 to 2006-the Phase 1 and 2007 to 2016-the Phase 2. Though the significant decline in average water levels, both in pre-monsoon and post-monsoon, were observed from Phase 1 to Phase 2 but the rate of decline in water level was not only checked from 0.102 m/yr (Phase 1) to rise at 0.056 m/yr (Phase 2) in pre monsoon season. In post monsoon season this became more prominent as decline rate of 0.308 m/yr in Phase 1 changes to rise in water level at 0.101 m/yr during Phase 2. This trend may be attributed to the construction of water conservation structures. INTRODUCTION In Tikamgarh district, Central Ground Water Board has been carrying out water level monitoring of permanent observation wells (POWs), since more than last two decades. To study ground water regime of the area, pre-monsoon and post-monsoon depth to water levels are important. In order to bring out the spatial and temporal changes in the ground water regime, the study was conducted in different blocks of Tikamgarh district, Madhya Pradesh, which is one of the districts where number of water conservation structures have been constructed under Bundelkhand special package. A major part of this district is dependent on rains. Though underground water is used for irrigation purposes but due to deeper water table submersible pumps are required. Due to inadequate number of water harvesting structures in the district the water table is getting less recharged. Periodic monitoring of the ground water regime is an essential prerequisite for effective planning, management and sustenance of quantity as well quality of this precious resource.

Journal of the Geological Society of India

International Journal of Agriculture, Environment and Biotechnology, 2020

Land is a limited natural resource which restricts no further increase in a cultivated area. More... more Land is a limited natural resource which restricts no further increase in a cultivated area. Moreover, due to the increasing population, the pressure on this resource is increasing day by day. Hence, land use/land cover (LU/LC) information is very much necessary for the best possible use by maximizing outputs sustainably from this diminishing resource such that good planning and management can be done to meet the demand of the ever-increasing population. Therefore, a study has been conducted for land use/land cover mapping using SENTINEL-2B satellite data having a fine spatial resolution of Nahra nala watershed, which is a tributary of Wainganga river situated in Balaghat district of Madhya Pradesh, India. Five land use/land cover classes were identified, namely water bodies, agricultural land, forest, habitation (built-up), and wasteland in the study area. The study area possesses forest as the predominant LU/LC class with 83.79 percent of the total geographical area of the watershed. Accuracy assessment was also applied to the final classified results based on the ground truth points or known reference pixels along with Google Earth imageries. The overall classification accuracy of 95.52% with the kappa value of 0.92 was achieved. Highlights m This study conducted in Nahra Nala Watershed of Balaghat district, Madhya Pradesh, India, to make the land use / land cover classification map through Remote Sensing and GIS approach. m SENTINEL-2B high-resolution imagery is used for achieving the higher accuracy in LU/LC classification.

Indian Journal of Pure and Applied Biosciences, 2020

Classifying land use/land cover with its consequential analysis has gained due importance in the ... more Classifying land use/land cover with its consequential analysis has gained due importance in the
recent time for land resource management. The main purpose of this research was to create a
land use/land cover map of Kiknari nala watershed a tributary of Burner river basin using
remote sensing and GIS techniques. The fundamental prerequisite in mapping land use/land
cover is a high spatial resolution satellite image. Sentinel – 2B image was utilized for such
purposes. The investigation took unsupervised K means classification approach as a means to
obtain broad categories of LU/LC in ERDAS IMAGINE® 2011 environment. Additionally, the
system of on-screen visual interpretation method aided in diluting the aforementioned categories
to forests, agriculture, fallow land, waste land, habitation and water body. The LU/LC analysis
portrayed that majority of watershed area is covered under agriculture (i.e. 33.85%) followed by
fallow land (27.07%) and forests (22.53%). However, fallow land is having a considerable
spatial extent over the watershed, such land can be undoubtedly converted into agriculture and
other plantation purposes if water and human resources are easily available in adequacy.

Current Journal of Applied Science and Technology, 2020

This study aimed to develop estimator for evaluation of reweigh temperature for prediction resear... more This study aimed to develop estimator for evaluation of reweigh temperature for prediction research extent. Research conducted in Jabalpur district of Madhya Pradesh, India, which comes under the humid subtropical climate region. Temperature recorded at one hour, two hour or three hour either side of maximum temperature may be averaged to get a plateaued value for that much time period. Hourly data on temperature recorded at Weather Underground site are regrouped into different temperature forms namely average of maximum and minimum temperature (T av), weighted temperature (T wt), maximum temperature (T max), Temperature plateaued one hour, two hour and three hour either side of maximum temperature (Tp 2 , Tp 4 and Tp 6 respectively). These temperature forms are plotted for all twelve months. Integration of T av and T max was done for estimation of weighted temperature. Values of coefficient of determination raised from fitting of linear regression between each of temperature form; T max , T av , T wt , Tp 2 Tp 4 and Tp 6 with actual pan evaporation. Data set comprises of daily records separately for all twelve months. Daily records are also regrouped into four more categories i.e. for whole year (365 days), hot months (April-May), cold months Original Research Article Awasthi and Patle; CJAST, 39(43): 66-71, 2020; Article no.CJAST.64078 67 (December-January) and wet months (July-August). Though the r-squared values are found very low and explains that temperature alone cannot be taken as predictor of evaporation, which is a well comparative fact, but the purpose of presenting these values here to show the comparative effect of different temperature forms on evaporation. In hot months, the T wt with r-squared values of 0.49 seems to be more correlated than other temperature forms. But, in cold months T max , Tp 2 , Tp 4 and Tp 6 have more influence on evaporation than the T av or T wt. The research outcome of the present study will be helpful to estimation of reweigh temperature rather average of maximum and minimum temperature for use in prediction research work.

International Journal of Agriculture Environment & Biotechnolog, 2020

Morphometric analysis and thereby prioritization of watersheds have gained significant importance... more Morphometric analysis and thereby prioritization of watersheds have gained significant importance in land and water resources management. In this study an attempt has been made to prioritize sub-watersheds based on morphometric analysis using geospatial techniques in Umar Nala watershed of Narsinghpur district, of Madhya Pradesh. Morphometric parameters, considered for the present study are stream frequency (S f), drainage density (D d), texture ratio (T), elongation ratio (R e), circulatory ratio (R c), form factor (R f), bifurcation ratio (R b) and relief ratio (R h). These parameters were estimated for each sub-watershed then ranks were assigned for prioritization of sub-watersheds on the basis of value/relationship to arrive at a computed value for final ranking of the sub-watersheds. On the basis of morphometric parameters determined in GIS environment and then applying standard formulae prioritization among seventeen sub watersheds of Umar Nala, sub watershed no 10 is on top priority among seventeen sub watersheds for further soil and water conservations measures to be taken in the watershed. Highlights m This study conducted in Umar Nala watershed of Narsinghpur, district of Madhya Pradesh, India to prioritize sub-watersheds based on morphometric analysis using geospatial techniques. m In this study, we employed seventeen sub watersheds of Umar Nala, and found which watershed urgently requires soil and water conservation measures.

Indian Journal of Pure and Applied Biosciences, 2020

Sub-watershed prioritization has gained due importance in the recent time for management of natur... more Sub-watershed prioritization has gained due importance in the recent time for management of natural resources at a watershed level especially in the perspective of planning and management of watersheds. Analysis of morphometric parameters (linear, areal, relief and shape aspects) is usually the core investigation outline for prioritization of sub-watersheds. The current study makes an effort to prioritize sub-watersheds of Kiknari nala watershed situated in Mandla district of Madhya Pradesh, India by executing morphometric analysis using the techniques of remote sensing and GIS. Different morphometric parameters such as bifurcation ratio (Rb), drainage density (Dd), stream frequency (Fs), texture ratio (Rt), relief ratio (Rh), form factor (Ff), circulatory ratio (Rc) and elongation ratio (Re) for each sub-watershed was calculated using standard formulas and ranks were allocated so as to achieve values of compound parameter. In the present study, suitable soil and water conservation measures should be adopted primarily for SW – 2 having highest priority rank followed by SW – 1.

Journal of Experimental Biology and Agricultural Sciences, 2020

In this study, morphometric analysis and prioritization of the eleven sub-watersheds of Nahra wat... more In this study, morphometric analysis and prioritization of the eleven sub-watersheds of Nahra watershed, located in the Central-Eastern part of the Balaghat district of Madhya Pradesh, India, was carried out using Remote Sensing (RS) and Geographical Information System (GIS). The morphometric parameters considered for analysis are stream length, bifurcation ratio, drainage density, stream frequency, texture ratio, form factor, circularity ratio, elongation ratio, and compactness coefficient. The Nahra watershed has a dendritic drainage pattern. The highest bifurcation ratio among all the sub-watersheds is 6.667 which indicates a strong structural control on the drainage. The maximum value of circularity ratio and elongation ratio are 0.696 and 0.684, respectively for the SW8. The form factor values are in the range of 0.181 to 0.368, which indicates that the Nahra watershed has a moderately high peak flow of shorter duration. The compound parameter values were calculated and a prioritization rating of eleven mini-watersheds in Nahra watershed was carried out. The mini-watershed with the lowest compound parameter value is given the highest priority. The SW8 has a minimum compound parameter value of 4.222 is likely to be subjected to the maximum soil erosion; hence, it should be provided with immediate soil conservation measures.

JOURNAL GEOLOGICAL SOCIETY OF INDIA, 2019

International Journal of Current Microbiology and Applied Sciences, 2019

Ground water withdrawal for irrigation, if not done correctly, leads to falling water table below... more Ground water withdrawal for irrigation, if not done correctly, leads to falling water
table below critical level. In Madhya Pradesh, out of 313 blocks, 23 blocks extended
to over exploited category, 09 blocks are in critical stage and 57 blocks are in semi
critical stage (MP Dynamic Ground Water Assessment, 2015). As per rules of CGWB,
the areas where the water level could not recuperated upto 3m depth after the monsoon
season, will essential artificial recharge. The solution lies in harvesting rainwater in
farmers‟ field which are kept or left fallow for one reason or another. Though, all
these fields may not be good enough to recharge groundwater like percolation tanks
but transfer water well below at least @4 mm/day even in clayey soils. So, to decide
which area is to be taken first in present study a method of identification of priority is
proposed. Four basic criteria to decide the priority namely, amount of annual rainfall,
the soil type, stage of ground water development stage and extent of kharif fallow.
Each of these four category are subdivided into four sub classes and giving grades
from A to D where A is top in that particular category. Thus an area which attains all
four „As‟ in all four category will have a score „4‟ as qualifies as top priority area.
Based on above methodology the rank table is prepared. There are 11 blocks comes
under 1st priority which needs immediate action towards ground water recharge.
Those blocks are Pansemal Rajpur (Barwani), Dewas (Dewas), Badnawar, Dhar,
Darampuri, Nalchha (Dhar), Sitamau, Mandsaur (Mandsaur), Sujalpur (Shajapur),
Ujjain (Ghatiya). These blocks of 5 districts (Barwani, Dewas, Mandsaur, Shajapur,
Ghatiya) needs more attention for Ground water recharge.

International Journal of Agriculture, Environment and Biotechnology, 2019

This study was conducted in Tikamgarh district of Bundelkhand, Madhya Pradesh, India to spatially... more This study was conducted in Tikamgarh district of Bundelkhand, Madhya Pradesh, India to spatially delineate the groundwater potential zones using the integrated RS-GIS and MIF techniques. To do so, eight major biophysical and environmental factors like drainage density, geomorphology, geology, lineament density, land use/land cover, rainfall, slope and soil were considered. All the factors and their features have been assigned weights according to their relative importance and their normalized weights were calculated using the multi influence factor technique. Groundwater potential zoning map has been prepared through weighted overlay model in GIS environment after integrating all the thematic layers. The entire district has been classified into five different groundwater potential zones-Very Good, Good, Moderate, Poor and Very Poor depending on the likelihood of availability of ground water. Greater portion of the study area (40.60%) fall within the poor potentiality zone. About 3.10% and 11.54% of the total area fall under the very good and good potential zone respectively. 38.60% of the total area comes under the moderately potentiality zone. Only 6.16% of the total area fall under the very low potential zone. It shows that the applied technique produces considerably reliable results for this study which may facilitate the decision makers to formulate an effective plan for the study area. Highlights m This study conducted in Tikamgarh district of Bundelkhand, Madhya Pradesh, India to spatially delineate the groundwater prospect zones through RS-GIS approach. m Tikamgarh district is under comes drought prone zone of Bundelkhand region, so need have explore the ground water status. m In this study, we employed maximum eight groundwater influence factor for developing the ground water potential zones.

International Journal of Chemical Studies, 2020

Indian Journal of Pure & Applied Biosciences, 2020

International Journal of Agriculture Environment and Biotechnology, 2019

International Journal of Chemical Studies, 2020

International Journal of Current Microbiology and Applied Sciences, 2019

Journal of the Geological Society of India

International Journal of Agriculture, Environment and Biotechnology, 2020

Indian Journal of Pure and Applied Biosciences, 2020

Classifying land use/land cover with its consequential analysis has gained due importance in the ... more Classifying land use/land cover with its consequential analysis has gained due importance in the
recent time for land resource management. The main purpose of this research was to create a
land use/land cover map of Kiknari nala watershed a tributary of Burner river basin using
remote sensing and GIS techniques. The fundamental prerequisite in mapping land use/land
cover is a high spatial resolution satellite image. Sentinel – 2B image was utilized for such
purposes. The investigation took unsupervised K means classification approach as a means to
obtain broad categories of LU/LC in ERDAS IMAGINE® 2011 environment. Additionally, the
system of on-screen visual interpretation method aided in diluting the aforementioned categories
to forests, agriculture, fallow land, waste land, habitation and water body. The LU/LC analysis
portrayed that majority of watershed area is covered under agriculture (i.e. 33.85%) followed by
fallow land (27.07%) and forests (22.53%). However, fallow land is having a considerable
spatial extent over the watershed, such land can be undoubtedly converted into agriculture and
other plantation purposes if water and human resources are easily available in adequacy.

Current Journal of Applied Science and Technology, 2020

International Journal of Agriculture Environment & Biotechnolog, 2020

Indian Journal of Pure and Applied Biosciences, 2020

Journal of Experimental Biology and Agricultural Sciences, 2020

JOURNAL GEOLOGICAL SOCIETY OF INDIA, 2019

International Journal of Current Microbiology and Applied Sciences, 2019

International Journal of Agriculture, Environment and Biotechnology, 2019

International Journal of Chemical Studies, 2020