IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v20y2018i2d10.1007_s10668-016-9904-6.html
   My bibliography  Save this article

Spatial analysis of soil resources in the Mewat district in the semiarid regions of Haryana, India

Author

Listed:
  • Mamta Mehra

    (TERI University)

  • Chander Kumar Singh

    (TERI University)

Abstract

The soil characteristics are critical for crop health and its yield and therefore for agriculture. The soil properties are spatially variable and therefore soil resources should be managed as per location-specific requirements. An integrated spatial analysis of the soil resources of Mewat district was conducted to identify the soil resource management zones to develop site-specific soil management plan which might lead to sustained and enhanced crop yield. Spatial analysis of soil resources was conducted by modeling soil fertility and erosion which determines the crop productivity in the region. Soil fertility of the region was modeled using weighted overlay approach using 10 soil parameters, namely nitrogen, phosphorus, potassium, sulfur, iron, zinc, manganese, organic carbon, electrical conductivity, and pH. Each parameter was assigned weights based on their relative importance to agricultural productivity. The modeled soil fertility was classified into three fertility zones, low, medium, and high. Soil fertility was found to be low to moderate in 65% of the area, largely because of the low nitrogen, soil organic carbon, phosphorus concentration, and excessive salinity. Soil erosion was modeled using the universal soil loss equation (USLE) model by estimating rainfall erosivity factor (R), the soil erodibility factor (K), the topographic factors (L and S), cropping factor (C), and the conservation practice factor (P). Soil erosion problems were limited to areas having high elevation with barren land and areas with minimal management practices. The severity of soil erosion was found high in 15% of the region, while the remaining 85% showed low to moderate erosion. Soil fertility and erosion were integrated using the multivariate clustering method to identify soil management zones. The region was delineated into three soil management zones. Zone I (29%) which covers majorly Tarou block, was characterized by high soil fertility and low soil erosion. Zone II (18%) with medium soil fertility and high erosion covers villages of Taoru, Nuh, Nagina, FP Jhirka, and Punhana, which are located in the foothills of Aravalli ranges. Zone III represents the major part of the region, covering Nuh, Nagina, and FP Jhirka blocks (54%) with low soil fertility and erosion conditions. Thus, within the study area, the soil management domains are spatially variable in terms of fertility and soil erosion, and thus zone-specific soil management measures are required to improve the soil condition in order to sustain and improve agriculture production. The study would help the policy makers to design site-specific planning for identified soil resource management zones.

Suggested Citation

  • Mamta Mehra & Chander Kumar Singh, 2018. "Spatial analysis of soil resources in the Mewat district in the semiarid regions of Haryana, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 661-680, April.
    • Handle: RePEc:spr:endesu:v:20:y:2018:i:2:d:10.1007_s10668-016-9904-6
    DOI: 10.1007/s10668-016-9904-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-016-9904-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-016-9904-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. V. Krishna Prasad & K. V. S. Badarinath, 2005. "Assessing forest cover sustainability and deforestation risk from socioeconomic and biophysical indicators - a case study from Rampa Forests, south India," Sustainable Development, John Wiley & Sons, Ltd., vol. 13(2), pages 102-114.
    2. Okan Fistikoglu & Nilgun Harmancioglu, 2002. "Integration of GIS with USLE in Assessment of Soil Erosion," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(6), pages 447-467, December.
    3. Prabir Mukherjee & Chander Singh & Saumitra Mukherjee, 2012. "Delineation of Groundwater Potential Zones in Arid Region of India—A Remote Sensing and GIS Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2643-2672, July.
    4. Datta, K. K. & Jong, C. de, 2002. "Adverse effect of waterlogging and soil salinity on crop and land productivity in northwest region of Haryana, India," Agricultural Water Management, Elsevier, vol. 57(3), pages 223-238, December.
    5. P. Dabral & Neelakshi Baithuri & Ashish Pandey, 2008. "Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(12), pages 1783-1798, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sagarika Patowary & Arup Kumar Sarma, 2018. "GIS-Based Estimation of Soil Loss from Hilly Urban Area Incorporating Hill Cut Factor into RUSLE," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3535-3547, August.
    2. Liangang Chen & Xin Qian & Yong Shi, 2011. "Critical Area Identification of Potential Soil Loss in a Typical Watershed of the Three Gorges Reservoir Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3445-3463, October.
    3. Albert Poponi Maniraho & Richard Mind’je & Wenjiang Liu & Vincent Nzabarinda & Patient Mindje Kayumba & Lamek Nahayo & Adeline Umugwaneza & Solange Uwamahoro & Lanhai Li, 2021. "Application of the Adapted Approach for Crop Management Factor to Assess Soil Erosion Risk in an Agricultural Area of Rwanda," Land, MDPI, vol. 10(10), pages 1-24, October.
    4. Bin Huang & Zaijian Yuan & Mingguo Zheng & Yishan Liao & Kim Loi Nguyen & Thi Hong Nguyen & Samran Sombatpanit & Dingqiang Li, 2022. "Soil and Water Conservation Techniques in Tropical and Subtropical Asia: A Review," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    5. Pradeep Mishra & Zhi-Qiang Deng, 2009. "Sediment TMDL Development for the Amite River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 839-852, March.
    6. V. Prasannakumar & H. Vijith & N. Geetha & R. Shiny, 2011. "Regional Scale Erosion Assessment of a Sub-tropical Highland Segment in the Western Ghats of Kerala, South India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3715-3727, November.
    7. Soumik Bhattacharya & Swarupa Das & Sandipan Das & Mahesh Kalashetty & Sumedh R. Warghat, 2021. "An integrated approach for mapping groundwater potential applying geospatial and MIF techniques in the semiarid region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 495-510, January.
    8. Wichelns, Dennis & Oster, J.D., 2006. "Sustainable irrigation is necessary and achievable, but direct costs and environmental impacts can be substantial," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 114-127, November.
    9. Guoqiang Wang & Prasantha Hapuarachchi & Hiroshi Ishidaira & Anthony Kiem & Kuniyoshi Takeuchi, 2009. "Estimation of Soil Erosion and Sediment Yield During Individual Rainstorms at Catchment Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1447-1465, June.
    10. Demetris Zarris & Marianna Vlastara & Dionysia Panagoulia, 2011. "Sediment Delivery Assessment for a Transboundary Mediterranean Catchment: The Example of Nestos River Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3785-3803, November.
    11. Leticia Merchán & Antonio Miguel Martínez-Graña & Pilar Alonso Rojo & Marco Criado, 2023. "Water Erosion Risk Analysis in the Arribes del Duero Natural Park (Spain) Using RUSLE and GIS Techniques," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
    12. Chinnappa, B. & Nagaraj, N., 2007. "An Economic Analysis of Public Interventions for Amelioration of Irrigation-Induced Soil Degradation," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 20(2).
    13. Wen-Chieh Chou, 2010. "Modelling Watershed Scale Soil Loss Prediction and Sediment Yield Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2075-2090, August.
    14. Ashish Pandey & V. Chowdary & B. Mal, 2007. "Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(4), pages 729-746, April.
    15. Vandersypen, K. & Keita, A.C.T. & Coulibaly, B. & Raes, D. & Jamin, J.-Y., 2007. "Drainage problems in the rice schemes of the Office du Niger (Mali) in relation to water management," Agricultural Water Management, Elsevier, vol. 89(1-2), pages 153-160, April.
    16. Ch. Jyotiprava Dash & N. K. Das & Partha Pratim Adhikary, 2019. "Rainfall erosivity and erosivity density in Eastern Ghats Highland of east India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(2), pages 727-746, June.
    17. Susanta Das & Proloy Deb & Pradip Kumar Bora & Prafull Katre, 2020. "Comparison of RUSLE and MMF Soil Loss Models and Evaluation of Catchment Scale Best Management Practices for a Mountainous Watershed in India," Sustainability, MDPI, vol. 13(1), pages 1-22, December.
    18. Vesna Đukić & Zoran Radić, 2014. "GIS Based Estimation of Sediment Discharge and Areas of Soil Erosion and Deposition for the Torrential Lukovska River Catchment in Serbia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4567-4581, October.
    19. Joshi, Shruti & Nath, Siddhartha & Ranjan, Abhishek, 2023. "Green Total Factor Productivity for India: Some Recent Estimates and Policy Directions," MPRA Paper 117717, University Library of Munich, Germany.
    20. Duong Hai Ha & Phong Tung Nguyen & Romulus Costache & Nadhir Al-Ansari & Tran Phong & Huu Duy Nguyen & Mahdis Amiri & Rohit Sharma & Indra Prakash & Hiep Le & Hanh Bich Thi Nguyen & Binh Thai Pham, 2021. "Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4415-4433, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:20:y:2018:i:2:d:10.1007_s10668-016-9904-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.