Analyzing land surface temperature trends using non-parametric approach: A case of Delhi, India

Panwar, Manoj; Agarwal, Avlokita; Devadas, V.

doi:10.1016/j.uclim.2018.01.003

Cited by 22 publications

(14 citation statements)

References 12 publications

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“…Increasing trends are indicated by positive values while negative values demonstrate declining patterns. The Sen's non-parametric method, known for its robustness, is used to assess the real path of the current trend (Yadav et al 2016;Panwar et al 2018). It is computed as:…”

Section: Discussionmentioning

confidence: 99%

“…Its wide application in trend assessment was informed by its numerous advantages over other techniques which include (1) the ability to accommodate data from non-normal distribution, data with outliers and missing values and (2) its high asymptotic efficiency (Fu et al 2017). Meanwhile, the Sen's, also a nonparametric method, known for its robustness, has been commonly adopted to assess the real path of the current trend (Yadav et al 2016;Panwar et al 2018).…”

Section: Introductionmentioning

confidence: 99%

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Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria

Umar¹,

Ramli

Tukur

et al. 2021

H2Open Journal

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Detecting and predicting the impact of land use/land cover (LULC) changes on streamflow are crucial sources of information for the effective management and protection of land and water resources in Sahelian ecosystems such as the Hadejia river basin. In this study, LULC change detection was performed using ENVI, while the LULC modeling was conducted using the cellular automata (CA)–Markov in the IDRISI environment. However, the streamflow trend and variation were assessed using the Mann–Kendall (MK) trend test and the inverse distance weightage (IDW). Before the LULC modeling and projection (2030), the LULC was classified for 1990, 2000, and 2010 using supervise classification. Model output revealed a strong relationship between LULC and streamflow trend, thus, the decade 1990–2000, was the decade with high forest clearance and streamflow output, consequently severe floods. However, the decade 2000–2010 witnessed land use expansion mainly via construction (3.4%). Meanwhile, the scenario will slightly change in the future as agriculture is projected to expand by about 9.3% from 2010 to 2030 due to the increased human population. Thus, food insecurity aggravated by climate change should be anticipated, and measures to avert/reduce their effects must be initiated.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria

Umar¹,

Ramli

Tukur

et al. 2021

H2Open Journal

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“…Theil-Sen Median trend analysis (Sen's slope) is a robust trend estimator for long time series, which is a non-parametric statistic method that is not sensitive to outliers [56]. Therefore, we used Sen's slope to calculate the trend of EQ.…”

Section: Theil-sen Median Trend Analysis and Mann-kendall Testmentioning

confidence: 99%

Land Use and Climate Change Altered the Ecological Quality in the Luanhe River Basin

Zhang

Song

Fan

et al. 2022

IJERPH

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Monitoring and assessing ecological quality (EQ) can help to understand the status and dynamics of the local ecosystem. Moreover, land use and climate change increase uncertainty in the ecosystem. The Luanhe River Basin (LHRB) is critical to the ecological security of the Beijing–Tianjin–Hebei region. To support ecosystem protection in the LHRB, we evaluated the EQ from 2001 to 2020 based on the Remote Sensing Ecological Index (RSEI) with the Google Earth Engine (GEE). Then, we introduced the coefficient of variation, Theil–Sen analysis, and Mann–Kendall test to quantify the variation and trend of the EQ. The results showed that the EQ in LHRB was relatively good, with 61.08% of the basin rated as ‘good’ or ‘excellent’. The spatial distribution of EQ was low in the north and high in the middle, with strong improvement in the north and serious degradation in the south. The average EQ ranged from 0.58 to 0.64, showing a significant increasing trend. Furthermore, we found that the expansion of construction land has caused degradation of the EQ, whereas climate change likely improved the EQ in the upper and middle reaches of the LHRB. The results could help in understanding the state and trend of the eco-environment in the LHRB and support decision-making in land-use management and climate change.

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“…The vehicle count has exhibited a surge in the last decade which leads to an increased vehicular density. This contributes to higher pollutant concentrations apart from other problems (Panwar et al, 2018). Considering the significance this city holds in terms of the economic, cultural and industrial growth along with being the international gateway to the world, it is crucial to ascertain the sustainability of the city in terms of infrastructure and the massive population it resides.…”

Section: Study Areamentioning

confidence: 99%

Mapping spatial distribution of particulate matter using Kriging and Inverse Distance Weighting at supersites of megacity Delhi

Shukla

Kumar

Mann

et al. 2020

Sustainable Cities and Society

132

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Analyzing land surface temperature trends using non-parametric approach: A case of Delhi, India

Cited by 22 publications

References 12 publications

Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria

Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria

Land Use and Climate Change Altered the Ecological Quality in the Luanhe River Basin

Mapping spatial distribution of particulate matter using Kriging and Inverse Distance Weighting at supersites of megacity Delhi

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