Utility Of New Remote Sensing Data In Evaluating The Hydrological Response To Land Use And Land Cover Changes

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Land use and land-cover (LULC) changes have profound impacts on hydrological responses, influencing runoff dynamics and flood risks. This study focused on two contrasting watersheds undergoing rapid LULC transformations: the arid Wadi Ham watershed in the UAE and the tropical Imphal watershed in India. The research emphasized the critical role of accurate LULC data for hydrological modeling in climate-sensitive regions, where land-use changes are accelerating. Using high-resolution PlanetScope and Sentinel-2 satellite imagery, LULC maps were developed and classified using Maximum Likelihood (ML) and Random Forest (RF) algorithms. PlanetScope imagery paired with the RF classifier achieved the highest overall accuracy, with Wadi Ham’s LULC maps reaching 97.27% and Imphal’s LULC maps achieving 98.59%. Change detection analysis revealed significant transformations, such as an increase in built-up areas in Wadi Ham from 3.63 km² in 2017 to 6.23 km² in 2022, accompanied by a decrease in vegetation from 3.37 km² to 1.56 km². In the Imphal watershed, wasteland expanded significantly from 3.32 km² to 47.14 km², while agricultural land saw notable increases: Kharif crop areas grew from 22.2 km² to 28 km², and double/triple crop areas expanded from 28.23 km² to 38.90 km². Hydrological modeling using the Gridded Surface Subsurface Hydrological Analysis (GSSHA) model demonstrated the influence of LULC accuracy on runoff simulations. In Wadi Ham, the 2022 simulations, reflecting urbanization, resulted in higher peak discharge (1165.8 CMS at 930 min) compared to 2017 (749.61 CMS at 1037 min). Similarly, in the Imphal watershed, land degradation and agricultural expansion led to increased flood risks, with peak discharge rising from 129.53 CMS in 2017 to 162.33 CMS in 2022. This study highlighted the importance of high-resolution LULC data for reliable hydrological modeling, particularly in data-scarce regions. The findings underscore the need for informed urban planning and flood risk management strategies to mitigate the impacts of rapid land-use changes. By aligning with UAE’s 2030 vision for resilient communities and UN Sustainability Goals 11 (Sustainable Cities and Communities) and 13 (Climate Action), the research contributes to broader global sustainability objectives.

روابط وملفات

التعريف والنوع

رقم الوثيقة

ff82a121-2bb7-497d-9217-a5ce1b632135

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

840791_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Chithrika Jayamini Alawathugoda","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Mohamed Hamouda","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Utility Of New Remote Sensing Data In Evaluating The Hydrological Response To Land Use And Land Cover Changes

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

Mohamed Hamouda

الإعداد

Chithrika Jayamini Alawathugoda

الاقتباسات الببليوغرافية