Reference Evapotranspiration for Sparse Data and Data Gap Filling in Python: A Study Case at Urucuia River Basin, Brazil DOI Creative Commons
Thomas Rieth Corrêa,

Marcelo José Gama Silva,

Aldicìr Scariot

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 22, 2024

Abstract Despite the several existing initiatives to obtain evapotranspiration data for scientific analysis, it remains a challenge when dealing with scarcity, especially is coupled many gaps of long-time climatological series. In this study, we developed two Python scripts perform reference calculations in scarcity conditions, filling potential gaps, and testing them Urucuia River watershed.The first script (ETO_calc.py) able calculate both by Penman-Monteith method, adapting according user availability, Hargreaves-Samani method. The second (Filling_gaps.py) fills out based on input from neighboring stations tests adequacy filling. was tested comparing generated online calculator 'ETCalc', while station's five stations, original filled data. output practically identical used comparison, which confirms estimation made ETO_calc.py. As script, regional weighting method linear multiple regression methods were that best missing main station. This due their better fit historical variation compared other methods. results allow us conclude proved be suitable tools estimating

Language: Английский

The impact of compound drought and heatwave events from 1982 to 2022 on the phenology of Central Asian grasslands DOI

Ruikang Tian,

Jianhao Li,

Jianghua Zheng

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121624 - 121624

Published: July 4, 2024

Language: Английский

Citations

4
Temperature variability and its effect on seasonal yield of rice in Bangladesh: a long-term trend assessment DOI Creative Commons
Md. Abdullah Al Mamun, Md Abdur Rouf Sarkar, Mou Rani Sarker

et al.

Cogent Food & Agriculture, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 5, 2025

Bangladesh, an agriculturally reliant and climate-vulnerable country, requires real-time quantification of climatic variables, such as temperature, to sustain food security. However, the effects spatial temporal temperature variations on rice productivity across seasons remain underexplored. Our study addresses this gap by analyzing data from 35 meteorological stations (1970-2020) using parametric nonparametric methods. The Mann-Kendall test revealed a pronounced increase in minimum temperatures compared maximum temperatures, particularly during monsoon season. K-means clustering identified four seasonal station clusters, revealing that rising positively influenced Aus yields seven regions, while above 35°C negatively affected yields, especially northwest Bangladesh. Seasonal heat incidence highlighted experienced greater stress Aman Boro. Wavelet coherence analysis confirmed recent events significantly impacted Boro with high-frequency anomalies affecting Aman. Regression attributed 11–47% Aus, 4–70% Aman, 7–52% yield fluctuations. Despite localized disruptions, Bangladesh has sustained self-sufficiency through adoption stress-tolerant varieties, mechanization, improved practices. To ensure climate-resilient security, targeted regional policy planning implementation are imperative.

Language: Английский

Citations

0
Spatial Mapping of Vegetation’s Potential to Counter Seasonal Groundwater Salinity in Coastal Bangladesh DOI Creative Commons

Md Riaz Uddin,

Ashraf Uddin, Jake R. Nelson

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Language: Английский

Citations

0
Farmers' Adoption of Newly Released Climate‐Resilient Rice Varieties in the Coastal Ecosystem of Bangladesh: Effectiveness of a Head‐To‐Head Adaptive Trial DOI Creative Commons
Tahmina Akter, Md. Safiul Islam Afrad, Muhammad Ashraful Habib

et al.

Food and Energy Security, Journal Year: 2025, Volume and Issue: 14(2)

Published: March 1, 2025

ABSTRACT The adoption of newly released rice varieties in Bangladesh remains slow, particularly coastal ecosystems, where multiple stressors reduce productivity. Limited knowledge transfer on climate‐resilient has led farmers to favor traditional cultivars over newer ones. Head‐to‐Head Adaptive Trials (HHATs) were introduced promote the dissemination improved varieties, but their effectiveness not been fully assessed. This study evaluates farmers' trait preferences, varietal selection criteria, patterns, key determinants, and impact HHATs Bangladesh. conducted 2021–2022 2022–2023, with data collected from April June 2023. Using purposive sampling, 50 participant selected, while 150 neighboring systematically sampled based geographic proximity. Findings indicate that yield, taste, resilience salinity drought most important traits influencing selection. While valued superior grain quality concerns yield consistency climate adaptability many continue adopting older varieties. created spillover effects, encouraging broader among farmers. Education, farming as a primary occupation, income, commercial farming, extension services, training, social networks, seed access, quality, resilience, market price significantly influenced adoption, age, low soil fertility, high input costs, large landholdings barriers. Propensity score matching analysis confirmed increased rates by 11.25%–17.71%, though limited distribution hindered widespread adoption. highlights need for targeted policy measures enhance farmer support scale up

Language: Английский

Citations

0
Human settlement suitability in major cities of Bangladesh: A remote sensing-based grey relational analysis DOI

Bhaskar Ghosh,

Md. Zunaid Farouque,

Sudipta Das Gupta

et al.

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(5)

Published: April 16, 2025

Language: Английский

Citations

0
Spatio-temporal variability of climatic variables and its impacts on rice yield in Bangladesh DOI Creative Commons
Md Abdullah Al Mamun, Sheikh Arafat Islam Nihad, Md Abdur Rouf Sarkar

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2023, Volume and Issue: 7

Published: Dec. 22, 2023

Bangladesh is a significant contributor to the global food basket but also one of most vulnerable countries climate change. Understanding regional climatic variability helps reduce risks and ensure security. This research examined monthly, seasonal, yearly temperature, rainfall, relative humidity in using data from 35 meteorological stations 1970–2020. The study utilized Mann–Kendall method evaluate trends employed Sen’s slope quantify their magnitude. Additionally, quantile regression was applied analyze impact variables on rice yield. findings revealed that maximum ( T max ) minimum min temperatures were steadily increasing, with southwest experiencing more rapid rise compared other regions Bangladesh. Seasonal rose parts Bangladesh, particularly during monsoon. In areas, there p < 0.05) increase June September December. temperature considerably affected by warming throughout country. eastern area had annual rainfall rate, while northern region lowest. There evidence inter-seasonal shipment, post-monsoon rising monsoon season. showed yield Aus (summer) Aman (wet) seasons influenced humidity, whereas Boro (dry) season humidity. Across geographical segmentation, analysis indicated high level climate. Overall, intensity mean increased So, need develop heat or drought-resistant varieties modernized irrigation facilities mitigate these risks. However, farmers should employ automated weather-based advisory services for sustaining productivity

Language: Английский

Citations

8
Climate variability impact on crop evapotranspiration in the upper East region of Ghana DOI Creative Commons
Peter Osei Boamah,

Jacqueline Onumah,

Benjamin Apam

et al.

Environmental Challenges, Journal Year: 2023, Volume and Issue: 14, P. 100828 - 100828

Published: Dec. 24, 2023

Ghana's agriculture is primarily rain-fed, making it vulnerable to the impact of climate variability and change. This study examined trends climatic evapotranspiration on crop selected staple crops across three districts in Upper East region Ghana over a 19-year period. Data agro-climatic conditions (rainfall, temperature, relative humidity, sunlight) were obtained from Meteorological Agency (GMet) 2000 2018. Given non-conformity response variables normality assumption, Quantile Regression (QR) was employed examine different scenarios (low = 10%, typical 50%, high 90%) crops. The analyses disclosed significant difference between districts, except for maize, which remained consistent. There an increase trend all, but maize informs potential improvement notwithstanding variability. offers vital insight into complex dynamics evapotranspiration. It recommended, therefore, consider advances varieties through continuous investment breeding research programmes improve drought tolerance develop regional water balance techniques.

Language: Английский

Citations

4
Analysis of the onset, withdrawal, and variability of monsoon rainfall in the face of climate change DOI Creative Commons
Md. Shariot-Ullah,

S Akhter,

Tapos Kumar Acharjee

et al.

Discover Atmosphere, Journal Year: 2024, Volume and Issue: 2(1)

Published: April 9, 2024

Abstract Climate change is affecting the precipitation system in Bangladesh, particularly northwestern hydrological zone. This study analyzed monsoon rainfall variability from 1991 to 2015, revealing a shifting pattern and past trends. used Mann–Kendall test Sen’s slope (MAKESENS) statistical model evaluate annual total rainfall. Approximately 71–78% of occurred during season at all stations, with Rangpur being rainiest Rajshahi driest. The trend decreased, highly variable arrival withdrawal days. arrived early by 2 39 days late 1 72 reference day. 38 late. These findings can be plan manage agricultural practices local level Bangladesh.

Language: Английский

Citations

1
Implications of Dynamic Interactions between Meteorological Patterns and Surface Water Quality on Environmental Health—A Case Study of the Nairobi River DOI Open Access

H Safari,

Hongbin Chen,

Edwin Kipkirui

et al.

Journal of Geoscience and Environment Protection, Journal Year: 2024, Volume and Issue: 12(05), P. 113 - 146

Published: Jan. 1, 2024

Urban areas face significant challenges in maintaining water quality amidst increasing urbanization and changing climatic patterns. This study investigates the complex interplay between meteorological variables parameters Nairobi City, focusing on impacts of rainfall temperature surface quality. Data from multiple sources, including Water Resources Authority, Sewerage Company, World Bank's Climate Change Knowledge Portal, were analyzed to assess relationships (rainfall temperature) (such as electroconductivity, biochemical oxygen demand, chloride, pH). The analysis reveals varying different parameters. While like iron pH show strong with both temperature, others such ammonia nitrate exhibit moderate relationships. Additionally, highlights influence runoff, urbanization, industrial activities quality, emphasizing need for holistic management approaches. Recommendations encompass establishment annual publications River online accessibility data, development hydrological models, spatial analysis, fostering cross-disciplinary research collaborations. Implementing these recommendations can enhance practices, mitigate risks, safeguard environmental integrity City.

Language: Английский

Citations

0
Quantitative Analysis of Human Activities and Climatic Change in Grassland Ecosystems in the Qinghai–Tibet Plateau DOI Creative Commons
Yunmin Chen, Liusheng Han,

Tian Xia

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(21), P. 4054 - 4054

Published: Oct. 31, 2024

Net primary production (NPP) serves as a critical proxy for monitoring changes in the global capacity vegetation carbon sequestration. The assessment of factors (i.e., human activities and climate changes) influencing NPP is great value study terrestrial systems. To investigate influence on grassland NPP, ecologically vulnerable Qinghai–Tibet Plateau region was considered an appropriate area period from 2000 to 2020. We innovated use RICI index quantitatively represent analyzed effects climatic using geographical detector. In addition, future predicted through integration two modeling approaches: Patch-Generating Land Use Simulation (PLUS) model Carnegie–Ames–Stanford Approach (CASA) model. revealed that expanded contributed 7.55 × 104 Gg C (Gg = 109 g) total whereas deterioration resulted decline 1.06 105 C. factor identified dominant restoration, representing 70.85% well degradation, 92.54% NPP. By subdividing change activity into sub-factors detecting them with detector, results show anthropogenic have significant ability explain geographic variation considerable extent, effect greater when interact. q-values Relative Impact Contribution Index (RICI) land are consistently than 0.6, management practices evapotranspiration remaining at approximately 0.5. analysis interaction between reveals average impact 0.8. 2030, natural development scenario, economic scenario (ED), ecological protection (EP) decreasing trend due change, factor, causing decrease. Human play role improvement. EP indicates positive expansion growth rate forests, water, wetlands, while ED rapid urbanization. It notable this accompanied by temporary suspension urban greening.

Language: Английский

Citations

0