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Technische Universität Dresden (2016)

Performance Assessment and Management of Groundwater in an Irrigation Scheme by Coupling Remote Sensing Data and Numerical Modeling Approaches

Usman, Muhammad

Titre : Performance Assessment and Management of Groundwater in an Irrigation Scheme by Coupling Remote Sensing Data and Numerical Modeling Approaches

Auteur : Usman, Muhammad

Université de soutenance : Technische Universität Dresden

Grade : Doktoringenieur (Dr. – Ing.) 2016

Présentation
The irrigated agriculture in the Lower Chenab Canal (LCC) of Pakistan is characterized by huge water utilization both from surface and groundwater resources. Need of utilization of water from five rivers in Punjab province along with accelerated population growth has forced the construction of world’s largest irrigation network.
Nevertheless, huge irrigation infrastructure, together with inappropriate drainage infrastructure, led to a build-up of shal-low groundwater levels, followed by waterlogging and secondary salinization in the soil profile. Following this era, decreased efficiency of irrigation supply system along with higher food demands had increased burdens on groundwater use, which led to a drop in groundwater levels in major parts of LCC. Previous studies in the study region revealed lacking management and maintenance of irrigation system, inflexible irrigation strategies, poor linkages between field level water supply and demands. No future strategy is present or under consideration to deal with this long time emerged groundwater situation particularly under unchanged irrigation water supply and climate change. _ Therefore, there is an utmost importance to assess the current profile of water use in the irrigation scheme and to device some workable strategies under future situations of land use and climate change. This study aims to investigate the spatio-temporal status of water utilization and performance of irrigation system using remote sensing data and techniques (SEBAL) in combination with other point data.

Mots clés  : Bewässerte Landwirtschaft, Fernerkundung, Nachladen, Geo - Statistik, Numerische Modellierung, Klimawandel, Landnutzung Landbedeckungsänderung — Irrigated agriculture, Remote sensing, Recharge, Geo-statistics, Numerical modeling, Climate change, Land use land cover change

Résumé de la thèse (QUCOSA)

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Page publiée le 9 novembre 2016, mise à jour le 10 mai 2019