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Article ; Online: Understanding Changes in the Hydrometeorological Conditions towards Climate-Resilient Agricultural Interventions in Ethiopia

Sahoo, Satiprasad / Govind, Ajit

Agronomy. 2023 Jan. 28, v. 13, no. 2

2023

Abstract: Climate resilient agriculture (CRA) is very important to achieve long-term improvement in productivity and farm incomes under climate uncertainty. The present study focuses on investigating the plausible changes in the hydrometeorological conditions ... ...

Abstract	Climate resilient agriculture (CRA) is very important to achieve long-term improvement in productivity and farm incomes under climate uncertainty. The present study focuses on investigating the plausible changes in the hydrometeorological conditions using big-data analysis techniques in the study of Ethiopia. The original contribution of this work envisages the importance of the CRA system in water-scarce areas for sustainable agriculture planning and management under changing climatic conditions. In the present research, a TerraClimate model was the basis for weather (precipitation and temperature) and hydrological data (runoff, actual evapotranspiration, potential evapotranspiration, vapor pressure deficit and climate water deficit); these data were used to determine the spatial distribution of the standardized anomaly index (SAI) and the slope of the linear regression for long-term (1958–2020) trend analysis. Future climate trend analysis (2021–2100) has been performed through the CMIP6 (EC-Earth3) shared socio-economic pathway (SSP 2) 4.5 dataset. Gravity Recovery and Climate Experiment (GRACE) with CSR and JPL data were utilized for the generation of water storage heat maps from 2002 to 2021. The results show that the average annual rainfall data for over 62 years was found to be 778.42 mm and the standard deviation is 81.53 mm. The results also show that the western part of the study area has the highest temperature trend, which diminishes as one moves eastward; the minimum temperature trend has been found in the western part of the study area. It was found that the equivalent water thickness (EWT) range of both CSR and JPL products was −15 to 40 cm. These results can help local climate-resilient development planning and enhance coordination with other institutions to access and manage climate finance.
Keywords	agronomy ; climate ; data collection ; evapotranspiration ; farms ; finance ; heat ; hydrologic data ; hydrometeorology ; meteorological data ; models ; regression analysis ; runoff ; socioeconomics ; standard deviation ; sustainable agriculture ; temperature ; uncertainty ; vapor pressure deficit ; water storage ; Ethiopia
Language	English
Dates of publication	2023-0128
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article ; Online
ZDB-ID	2607043-1
ISSN	2073-4395
ISSN	2073-4395
DOI	10.3390/agronomy13020387
Database	NAL-Catalogue (AGRICOLA)

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Book ; Online: Changes in the hydrometeorological conditions for sustainable water resources planning and management framework in Ethiopia

Sahoo, Satiprasad / Govind, Ajit

2023

Abstract: Ethiopia’s agriculture sector is largely rainfed and thus more vulnerable to climate change. Water resource management is critical for enhancing climate resilience in Ethiopian agriculture. In this study, we analyzed the spatiotemporal trend of ... ...

Abstract	Ethiopia’s agriculture sector is largely rainfed and thus more vulnerable to climate change. Water resource management is critical for enhancing climate resilience in Ethiopian agriculture. In this study, we analyzed the spatiotemporal trend of historical climatic data in Ethiopia at the sub-regional level. We also analyzed the spatiotemporal trends of historical hydrological parameters for sustainable and efficient use of water resources in the era of climate uncertainty. We developed a framework for terrestrial water storage and groundwater storage mapping for the variability of the dryness and wetness conditions using the Global Land Data Assimilation System (GLDAS) and Gravity Recovery and Climate Experiment (GRACE) data.
Keywords	climate change ; climate change adaptation ; agriculture ; water ; drought ; resilience
Language	English
Publishing date	2023-01-23T10:41:25Z
Publisher	CGIAR FOCUS Climate Security
Publishing country	fr
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Changes in the hydrometeorological conditions for sustainable water resources management in Sudan

Sahoo, Satiprasad / Govind, Ajit

2023

Abstract: Agriculture is a pillar for the economy in Sudan, yet water resources may be decreasing as a result of climate change and agricultural operations, including flow management and irrigation techniques. Climate-resilient agriculture can help farmers build ... ...

Abstract	Agriculture is a pillar for the economy in Sudan, yet water resources may be decreasing as a result of climate change and agricultural operations, including flow management and irrigation techniques. Climate-resilient agriculture can help farmers build the capacity to adapt and effectively respond to long-term climate risk. It can also improve the irrigation system for agriculture production in rural development to increase food security. In this study, we analyzed the spatiotemporal trend of historical climatic data in Sudan at the sub-regional level. We also analyzed the spatiotemporal trends of historical hydrological parameters for sustainable and efficient use of water resources in the era of climate uncertainty. We developed a framework for terrestrial water storage and groundwater storage mapping for the variability of the dryness and wetness conditions using the Global Land Data Assimilation System (GLDAS) and Gravity Recovery and Climate Experiment (GRACE) data.
Keywords	climate change ; climate change adaptation ; water ; drought ; resilience
Language	English
Publishing date	2023-01-23T10:30:33Z
Publisher	CGIAR FOCUS Climate Security
Publishing country	fr
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Evaluation of spatiotemporal dynamics of water storage changes at block level for sustainable water management in Howrah District of West Bengal

Mondal, Biraj Kanti / Sahoo, Satiprasad

Environment, development and sustainability. 2022 July, v. 24, no. 7

2022

Abstract: The present study aims to estimate block-wise temporal changes of groundwater storage (GWS) under the terrestrial water storage (TWS) in Howrah District of West Bengal, India, using Catchment Land Surface Model (CLSM) from the Global Land Data ... ...

Abstract	The present study aims to estimate block-wise temporal changes of groundwater storage (GWS) under the terrestrial water storage (TWS) in Howrah District of West Bengal, India, using Catchment Land Surface Model (CLSM) from the Global Land Data Assimilation System (GLDAS-2). It deals with the quantitative investigation of the variability of GWS and TWS of pre-monsoon and post-monsoon season from 2000 to 2014. The application of the geospatial method was carried out for such geo-spatiotemporal analysis to portray the dynamics especially the variability of ground and surface water storage for 15 years using various cartographic and statistical techniques. The present estimation and evaluation criteria include aspects of GWS, TWS, the variations of pre- and post-monsoon season capturing the temporal variations from 2000 to 2014. The result shows that on average a decline in water storage has taken place during the study period in most of the blocks of the study district. However, block-wise spatiotemporal dynamics of water storage changes were considered for analysis and mapping to portray the micro-level scenario for the aim of sustainable planning and management of this unique water resource.
Keywords	environment ; groundwater ; models ; surface storage ; water management ; water storage ; watersheds ; India
Language	English
Dates of publication	2022-07
Size	p. 9519-9568.
Publishing place	Springer Netherlands
Document type	Article
ZDB-ID	1438730-x
ISSN	1387-585X
ISSN	1387-585X
DOI	10.1007/s10668-021-01838-7
Database	NAL-Catalogue (AGRICOLA)

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Article: Environmental change and groundwater variability in South Bihar, India

Sharma, Aviram / Maharana, Pyarimohan / Sahoo, Satiprasad / Sharma, Prabhakar

Groundwater for sustainable development. 2022 Nov., v. 19

2022

Abstract: In the last decade, researchers have underscored the need for carrying out climate change analysis at regional and sub-regional levels. Against this backdrop, we analyzed the climatic variability and environmental changes that occurred during the last ... ...

Abstract	In the last decade, researchers have underscored the need for carrying out climate change analysis at regional and sub-regional levels. Against this backdrop, we analyzed the climatic variability and environmental changes that occurred during the last seven decades (1958–2019) and their impact on groundwater variability in South Bihar, India. We employed a mixed-method approach and analyzed both the quantitative scientific data and qualitative ethnographic data collected from the local farmers.The scientific data was compiled for the climatic parameters (rainfall and temperature), hydrological parameters (runoff, actual evapotranspiration, potential evapotranspiration, and climate water deficit), terrestrial water storage, and groundwater storage capacity using TerraClimate model and Global Land Data Assimilation System. The public perception of climatic variability and environmental change was analyzed using farmers' understanding of environmental variability in selected villages of South Bihar. In terms of climatic variations, the historical climatic data showed rainfall variability over the last seven decades. Higher unpredictability in monsoon rainfall is evident from the 1990s onwards. The average temperature had gone up by 0.5 ᵒC over the study period. The surface and groundwater deficit across South Bihar was relatively high (above 600 mm) with a significant sub-regional variation. From the public understanding perspective, the climatic variations were mostly narrated in terms of deficit and erratic rainfall, which increased in recent decades. Farmers explained the groundwater scarcity and associated environmental changes based on their lived experience. Both scientific and farmers' understanding of environmental variability explains the high climatic variability during the last three decades.
Keywords	anthropology ; climate ; climate change ; evapotranspiration ; groundwater ; models ; monsoon season ; public opinion ; rain ; runoff ; sustainable development ; temperature ; water storage ; India
Language	English
Dates of publication	2022-11
Publishing place	Elsevier B.V.
Document type	Article
ISSN	2352-801X
DOI	10.1016/j.gsd.2022.100846
Database	NAL-Catalogue (AGRICOLA)

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Article: Assessment of future coastal risk zones along the Andaman coast to strengthen sustainable development

Chakraborty, Subha / Majumdar, Debaleena / Sahoo, Satiprasad / Saha, Swati

Environmental earth sciences. 2021 Sept., v. 80, no. 18

2021

Abstract: Future Composite Coastal Risk Index (CCRI) has been calculated to strengthen the development programs in the context of biodiversity conservation and sustainable management of natural resources along the Andaman coast. Total thirty-one parameters are ... ...

Abstract	Future Composite Coastal Risk Index (CCRI) has been calculated to strengthen the development programs in the context of biodiversity conservation and sustainable management of natural resources along the Andaman coast. Total thirty-one parameters are used in the Analytic Hierarchy Process (AHP) model to prepare the risk zone which is segmented into four groups for individual group-wise risk assessment. Land use and Land cover (LULC) have been prepared using supervised classification techniques with 6000 signatures. Representative Concentration Pathways (RCPs) based climatic data and population projection information play a major role, which has not been used previously for risk investigation in this study area. The risk zones of 2018 and the LULC classes have been validated by 978 field sample point and finally tehsil wise risk factors have been extracted using sensitivity analysis. The overall operation reflects a significant increase (4.35%) in the very high-risk zones in the absence of mangrove and coral ecosystem in 2030 compared to 2018. A large number of fishermen are trying to shift their primary occupation due to the unavailability of sufficient fishes in the near-shore regions, which is an indication of drastic changes in coastal ecosystems over the region in the last 3 decades. Therefore, the prediction of future coastal landscape in the absence of mangrove–coral ecosystem will draw a major concern in development planning which will strengthen the United Nation Development Program (UNDP) climate change mitigation, ecological restoration and biodiversity conservation planning, sustainable livelihood management practices, future research work in risk mitigation and management field.
Keywords	biodiversity conservation ; climate change ; coasts ; corals ; ecological restoration ; land use and land cover maps ; landscapes ; livelihood ; occupations ; prediction ; risk assessment ; risk reduction ; sustainable development
Language	English
Dates of publication	2021-09
Size	p. 637.
Publishing place	Springer Berlin Heidelberg
Document type	Article
ZDB-ID	2493699-6
ISSN	1866-6299 ; 1866-6280
ISSN (online)	1866-6299
ISSN	1866-6280
DOI	10.1007/s12665-021-09940-9
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Potential for Aquifer Storage and Recovery (ASR) in South Bihar, India

Somnath Bandyopadhyay / Aviram Sharma / Satiprasad Sahoo / Kishore Dhavala / Prabhakar Sharma

Sustainability, Vol 13, Iss 3502, p

2021 Volume 3502

Abstract: Among the several options of managed aquifer recharge (MAR) techniques, the aquifer storage and recovery (ASR) is a well-known sub-surface technique to replenish depleted aquifers, which is contingent upon the selection of appropriate sites. This paper ... ...

Abstract	Among the several options of managed aquifer recharge (MAR) techniques, the aquifer storage and recovery (ASR) is a well-known sub-surface technique to replenish depleted aquifers, which is contingent upon the selection of appropriate sites. This paper explores the potential of ASR for groundwater recharge in the hydrological, hydrogeological, social, and economic context of South Bihar in India. Based on the water samples from more than 137 wells and socio-economic surveys, ASR installations were piloted through seven selected entrepreneurial farmers in two villages of South Bihar. The feasibility of ASR in both hard rock and deep alluvial aquifers was demonstrated for the prominent aquifer types in the marginal alluvial plains of South Bihar and elsewhere. It was postulated through this pilot study that a successful spread of ASR in South Bihar can augment usable water resources for agriculture during the winter cropping season. More importantly, ASR can adapt to local circumstances and challenges under changing climatic conditions. The flexible and participatory approach in this pilot study also allowed the farmers to creatively engage with the design and governance aspects of the recharge pit. The entrepreneurial farmers-led model builds local accountability, creates avenues for private investments, and opens up the space for continued innovation in technology and management, while also committing to resource distributive justice and environmental sustainability.
Keywords	MAR ; ASR ; groundwater recharge ; sustainability ; South Bihar ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2021-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Total land suitability analysis for rice and potato crops through FuzzyAHP technique in West Bengal, India

Chiranjit Singha / Kishore Chandra Swain / Satiprasad Sahoo / Hazem Ghassan Abdo / Hussein Almohamad / Ahmed Abdullah Al Dughairi / Jasem A Albanai

Cogent Food & Agriculture, Vol 9, Iss

2023 Volume 1

Abstract: AbstractA total land suitability analysis was carried out through FuzzyAHP technique for rice and potato crops in West Bengal, India. Around 21 most relevant crop suitability parameters were selected and classified under five primary criteria, such as ... ...

Abstract	AbstractA total land suitability analysis was carried out through FuzzyAHP technique for rice and potato crops in West Bengal, India. Around 21 most relevant crop suitability parameters were selected and classified under five primary criteria, such as terrain distribution parameter, static soil parameter, available soil nutrient, agriculture practice parameter, and local variation parameter for the study. The factors such as NDVI and SAVI values were estimated from Sentinel 2B images in “SNAP” toolbox software environment, whereas soil nutrients were estimated through standard laboratory methods. Individual parameter weights were assigned through the FuzzyAHP technique for sub-criteria as well as for primary criteria. The final crop suitability map was developed showing nearly 20% of the total area as highly suitable for rice crop, whereas nearly 39% of the area was found suitable for the potato crop. Comparing the prediction map with yield distribution, it was found that the southwest region of the study area is very suitable for both rice and potato crop with higher crop yields in the range of 5 t/ha and 20 t/ha, respectively. Six different machine learning models, namely random forest, support vector machine, AdaBoost, extreme gradient boosting, logistic regression, and naïve Bayes, were utilized for validation of the suitability maps. The support vector machine (SVM) learning model with the highest AUC (~80%) was found efficient for testing both rice and potato crop suitability. The economic status of farmers can be rejuvenated by selecting the best crop rotation through land suitability analysis.
Keywords	total land suitability ; FuzzyAhp ; environment ; GIS ; Sentinel 2B ; Agriculture ; S ; Food processing and manufacture ; TP368-456
Subject code	571
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Identification of water-stressed area based on the interrelationship of soil moisture and seasonal rice cultivation

Sahoo, Satiprasad / Dhar, Anirban / Debsarkar, Anupam / Kar, Amlanjyoti / Kayet, Narayan

Paddy and water environment. 2020 Jan., v. 18, no. 1

2020

Abstract: The present study identifies water-stressed areas based on linkages between NOAH model-based soil moisture and seasonal paddy rice cultivation in the Dwarakeswar–Gandheswari river basin. Soil moisture provides information about crop water stress ... ...

Abstract	The present study identifies water-stressed areas based on linkages between NOAH model-based soil moisture and seasonal paddy rice cultivation in the Dwarakeswar–Gandheswari river basin. Soil moisture provides information about crop water stress distribution. A new analytic hierarchy process (AHP)-based index is proposed for water stress evaluation. The spatially distributed paddy rice cultivation is essential from the water resource management point of view. Temperature vegetation dryness index (TVDI), regional water stress index, standardized water level index, and vegetation health index (VHI) are considered for detecting water-stressed area. Water stress indices, soil moisture, and paddy rice cultivation are considered on a seasonal basis (Boro, Aus, and Aman) for the period 2011–2016. The spatial patterns of TVDI, VHI, and rice cultivation are derived from Landsat 7 Enhanced Thematic Mapper Plus and Landsat 8 Operational Land Imager satellite images. Kendall’s tau is considered for correlation analysis. Sensitivity analysis is performed for the generation of AHP-based new water-stressed zone map. The results show that the downstream portion of the river basin has low water stress compared to the upstream part. Ultimately, the results are validated using 20 field sample points. This analysis will be helpful for the irrigation water management framework.
Keywords	Landsat ; Oryza sativa ; crop production ; irrigation management ; irrigation water ; remote sensing ; rice ; soil water ; temperature ; thematic maps ; vegetation ; water stress ; watersheds
Language	English
Dates of publication	2020-01
Size	p. 193-209.
Publishing place	Springer Singapore
Document type	Article
ZDB-ID	2168266-5
ISSN	1611-2490
ISSN	1611-2490
DOI	10.1007/s10333-019-00774-7
Database	NAL-Catalogue (AGRICOLA)

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Article: Impact of water demand on hydrological regime under climate and LULC change scenarios

Sahoo, Satiprasad / Amlanjyoti Kar / Anirban Dhar / Anupam Debsarkar

Environmental earth sciences. 2018 May, v. 77, no. 9

2018

Abstract: The present study focuses on an assessment of the impact of future water demand on the hydrological regime under land use/land cover (LULC) and climate change scenarios. The impact has been quantified in terms of streamflow and groundwater recharge in ... ...

Abstract	The present study focuses on an assessment of the impact of future water demand on the hydrological regime under land use/land cover (LULC) and climate change scenarios. The impact has been quantified in terms of streamflow and groundwater recharge in the Gandherswari River basin, West Bengal, India. dynamic conversion of land use and its effects (Dyna-CLUE) and statistical downscaling model (SDSM) are used for quantifying the future LULC and climate change scenarios, respectively. Physical-based semi-distributed model Soil and Water Assessment Tool (SWAT) is used for estimating future streamflow and spatiotemporally distributed groundwater recharge. Model calibration and validation have been performed using discharge data (1990–2016). The impacts of LULC and climate change on hydrological variables are evaluated with three scenarios (for the years 2030, 2050 and 2080). Temperature Vegetation Dyrness Index (TVDI) and evapotranspiration (ET) are considered for estimation of water-deficit conditions in the river basin. Exceedance probability and recurrence interval representation are considered for uncertainty analysis. The results show increased discharge in case of monsoon season and decreased discharge in case of the non-monsoon season for the years 2030 and 2050. However, a reverse trend is obtained for the year 2080. The overall increase in groundwater recharge is visible for all the years. This analysis provides valuable information for the irrigation water management framework.
Keywords	climate ; climate change ; evapotranspiration ; groundwater recharge ; irrigation management ; land cover ; land use ; models ; monsoon season ; probability ; stream flow ; temperature ; uncertainty analysis ; vegetation ; watersheds ; India
Language	English
Dates of publication	2018-05
Size	p. 341.
Publishing place	Springer Berlin Heidelberg
Document type	Article
ZDB-ID	2493699-6
ISSN	1866-6299 ; 1866-6280
ISSN (online)	1866-6299
ISSN	1866-6280
DOI	10.1007/s12665-018-7531-2
Database	NAL-Catalogue (AGRICOLA)

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