Soil Science - Emerging Technologies, Global Perspectives and Applications [Working Title]最新文献

Scale-up of Mycorrhizal-Assisted Phytoremediation system from Technology Readiness Level 6 (Relevant Environment) to 7 (Operational Environment): Cost-benefits within a Circular Economy Context 菌根辅助植物修复系统从技术成熟度6级(相关环境)扩大到7级(操作环境):循环经济背景下的成本效益

Soil Science - Emerging Technologies, Global Perspectives and Applications [Working Title] Pub Date : 2021-12-20 DOI: 10.5772/intechopen.101584

A. Scotti, V. Silvani, S. Milia, G. Cappai, S. Ubaldini, Valeria Ortega, R. Colombo, A. Godeas, Martín Gómez

引用次数: 2

Evaluation of Soil Erosion and Its Prediction Protocols around the Hilly Areas of Mubi Region, Northeast Nigeria 尼日利亚东北部Mubi地区丘陵地区土壤侵蚀评价及其预测方案

Soil Science - Emerging Technologies, Global Perspectives and Applications [Working Title] Pub Date : 2021-12-03 DOI: 10.5772/intechopen.100477

Ijasini John Tekwa, Abubakar Musa Kundiri

{"title":"Evaluation of Soil Erosion and Its Prediction Protocols around the Hilly Areas of Mubi Region, Northeast Nigeria","authors":"Ijasini John Tekwa, Abubakar Musa Kundiri","doi":"10.5772/intechopen.100477","DOIUrl":"https://doi.org/10.5772/intechopen.100477","url":null,"abstract":"Soil erosion is a severe degradation phenomena that has since received huge attention among earth scientists in the developed worlds, and same efforts are now extending to Africa and other parts of underdeveloped worlds. This chapter focuses on collation, analyzing and appraising of soil ero¬sion studies around Mubi region, Northeast Nigeria, where the Mandara mountain ranges is notably responsible for spurring soil erosion. This chapter reviewed reports on the: (a) Mubi regional soil properties, erosion processes and principles of their occurrence, (b) soil erosion predictions using empirical and physically-based models by researchers, and, (c) economicimplications and managements of soil erosion in the region. This chapter reveals that classical and rill/ephemeral gully (EG) erosion features received more research attention than surface erosion such as splash and sheet. No information was reported on effects of landslides/slumping noticeable along rivers/stream banks around the region. The few economic analysis reported for soil nutrient and sediments entrained by concentrated flow channels were very high and intolerable to the predominantly peasant farmers in the region. It is hoped that the considerable volumes of erosion researches and recommendations assembled in this chapter shall be carefully implemented by prospective farmers, organizations, and residents in the Mubi region.","PeriodicalId":141726,"journal":{"name":"Soil Science - Emerging Technologies, Global Perspectives and Applications [Working Title]","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122281516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The “groundwater benefit zone”, proposals, contributions and new scientific issues “地下水效益带”，建议，贡献和新的科学问题

Soil Science - Emerging Technologies, Global Perspectives and Applications [Working Title] Pub Date : 2021-11-12 DOI: 10.1002/essoar.10508707.1

Ying Zhao

{"title":"The “groundwater benefit zone”, proposals, contributions and new scientific issues","authors":"Ying Zhao","doi":"10.1002/essoar.10508707.1","DOIUrl":"https://doi.org/10.1002/essoar.10508707.1","url":null,"abstract":"The groundwater has great potential for water resource utilization, accounting for about a quarter of vegetation transpiration globally and contributing up to 84% in shallow groundwater areas. However, in irrigated agricultural regions or coastal areas with shallow groundwater levels, due to the high groundwater salinity, the contribution of groundwater to transpiration is small and even harmful. This paper proposes a new conception of groundwater benefit zone in the groundwater-soil–plant-atmosphere continuum (GSPAC) system. Firstly, it analyzes the mutual feedback processes of the underground hydrological process and aboveground farmland ecosystem. Secondly, it elaborates on the regional water and salt movement model proposed vital technologies based on the optimal regulation of the groundwater benefit zone and is committed to building a synergy that considers soil salt control and groundwater yield subsidies. Finally, based on the GSPAC system water-salt coupling transport mechanism, quantitative model of groundwater benefit zone, and technical parameters of regional water-salt regulation and control, the scientific problems and development opportunities related to the conception of groundwater benefit zone have been prospected.","PeriodicalId":141726,"journal":{"name":"Soil Science - Emerging Technologies, Global Perspectives and Applications [Working Title]","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133497191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Applications of Thermo-TDR Sensors for Soil Physical Measurements 热- tdr传感器在土壤物理测量中的应用

Soil Science - Emerging Technologies, Global Perspectives and Applications [Working Title] Pub Date : 2021-10-13 DOI: 10.5772/intechopen.100285

Yili Lu, W. Peng, T. Ren, R. Horton

引用次数: 0

Machine Learning, Compositional and Fractal Models to Diagnose Soil Quality and Plant Nutrition 机器学习，组成和分形模型诊断土壤质量和植物营养

Soil Science - Emerging Technologies, Global Perspectives and Applications [Working Title] Pub Date : 2021-07-14 DOI: 10.5772/INTECHOPEN.98896

L. Parent, W. Natale, G. Brunetto

{"title":"Machine Learning, Compositional and Fractal Models to Diagnose Soil Quality and Plant Nutrition","authors":"L. Parent, W. Natale, G. Brunetto","doi":"10.5772/INTECHOPEN.98896","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.98896","url":null,"abstract":"Soils, nutrients and other factors support human food production. The loss of high-quality soils and readily minable nutrient sources pose a great challenge to present-day agriculture. A comprehensive scheme is required to make wise decisions on system’s sustainability and minimize the risk of crop failure. Soil quality provides useful indicators of its chemical, physical and biological status. Tools of precision agriculture and high-throughput technologies allow acquiring numerous soil and plant data at affordable costs in the perspective of customizing recommendations. Large and diversified datasets must be acquired uniformly among stakeholders to diagnose soil quality and plant nutrition at local scale, compare side-by-side defective and successful cases, implement trustful practices and reach high resource-use efficiency. Machine learning methods can combine numerous edaphic, managerial and climatic yield-impacting factors to conduct nutrient diagnosis and manage nutrients at local scale where factors interact. Compositional data analysis are tools to run numerical analyses on interacting components. Fractal models can describe aggregate stability tied to soil conservation practices and return site-specific indicators for decomposition rates of organic matter in relation to soil tillage and management. This chapter reports on machine learning, compositional and fractal models to support wise decisions on crop fertilization and soil conservation practices.","PeriodicalId":141726,"journal":{"name":"Soil Science - Emerging Technologies, Global Perspectives and Applications [Working Title]","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133988432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3