Hydrospatial Analysis最新文献

{"title":"Spatial Interpolations of Annual Rainfall in Ethiopia Using Simple and Universal Kriging Techniques","authors":"Kasye Shitu, Adibar Hymiro, Tigist Degu, Mastewal Mekuriaw","doi":"10.21523/gcj3.2023070102","DOIUrl":"https://doi.org/10.21523/gcj3.2023070102","url":null,"abstract":"The study of spatial distribution of precipitation is an important aspect of water-related research like, hydrological modeling, disaster prediction and watershed management. But, spatial interpolations of annual average rainfall in Ethiopia using Simple and Universal Kriging type through different models has not yet investigated. This study was focused on to select the best fit semivarogram model for annual rainfall interpolation and to map the spatial distribution of rainfall of Ethiopia. In this study, long term mean annual rainfall which was collected from 931 meteorological stations were interpolated using different mathematical variogram models of Kriging to select the best fit variogram model useful to predict continuous surface values of annual average rainfall in Ethiopia. Spherical model was found to be the best fitted variogram model and most accurate model for interpolation using both Simple and Universal Kriging with the value of ME (0.005), RMSE (1.21) and MSDR (121.32) and ME (0.001), RMSE (0.88) and MSDR (144.11), respectively. Since the kriging results of spherical model indicate good model efficacy for this study, it may be useful to map spatial pattern of annual rainfall in Basin level in Ethiopia.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"134 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130675625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate Change Impacts on LULC in the Jarmet Wetland and its Surrounding Areas in Western Ethiopia","authors":"Amanuel Kumsa Bojer, K. V. Suryabhagavan, S. Mekasha, Ayad M. Fadhil Al-Quraishi","doi":"10.21523/gcj3.2023070101","DOIUrl":"https://doi.org/10.21523/gcj3.2023070101","url":null,"abstract":"The concerns over land use and land cover (LULC) change have emerged on the global stage due to realization that changes occurring on the land surface also influence climate, ecosystem and its services. This study aimed to map the temporal dynamic of LULC patterns and LST in the Jarmet wetland in Ethiopia. The dynamics and pattern of changes for a period of 21 years (2000-2021) were analyzed using geospatial techniques. Multi-temporal satellite images from Landsat ETM+ and Landsat-8 OLI sensor data were used to extract land-cover maps. The Land Surface Temperature (LST) trend of the study areas was computed using MODIS satellite imagery (2000-2021). Supervised classification using a Maximum Likelihood Classifier (MLC) was applied to prepare LULC maps of the watershed. The accuracy of the classified map was assessed using high-resolution data, and ground realities have been verified and ascertained through field observations. The results revealed a decreased trend in wetland, forest, shrubland and grassland in the period of 21 years (2000-2021) by -1148.71ha, -1073.26 ha, -1480.1 ha, and -87.73 ha, respectively. On the other hand, farmland and plantation areas followed an increasing trend. LST revealed decreasing trend in terms of mean and minimum with a fraction change of -0.018 and -0.073, whereas the maximum LST value shows an increasing trend with 0.021. The overall accuracy was 84.41%, with Kappa index of 76.13%. The analysis and findings of the study highlight important policy implications for sustainable LULC management in the study area. The study suggests the design and implementation of a guided natural resource policy, stopping the illegal expansion of farmland and educating society about the value of the sustainable management of habitat reserves.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131226391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal Assessment of Meteorological Drought of Paschim Medinipur District, West Bengal, India","authors":"Shrinwantu Raha, Sayan Deb","doi":"10.21523/gcj3.2022060201","DOIUrl":"https://doi.org/10.21523/gcj3.2022060201","url":null,"abstract":"The drought phenomenon is linked to the water scarcity and these are the pressing issues that require careful and thoughtful consideration. Drought in India mostly affects regions that are part of numerous plateaus, including the Chottanagpur plateau and the Deccan plateau. The Paschim Medinipur District of West Bengal, which is located in the southern portion of the Chottanagpur plateau, has recently experienced extreme and severe drought on multiple occasions. The assessment of the drought scenario in this region is, nevertheless, still very far from being finalized. Using the Standardized Precipitation Evapotranspiration Index (SPEI) at various time intervals (e.g., 3 months, 6 months, 12 months and 48 months) between 1979 and 2014, we have evaluated drought both geographically and temporally in this study. Here, the drought evaluation metrics include peak intensity, average intensity, magnitude, occurrence rate (%) and trend. Peak intensity, magnitude, average drought intensity, and the frequency of Extreme to Severe (ES) droughts are all seen to decline noticeably as time steps move forward. The frequency of moderate droughts starts to rise as time moves forward. Peak intensity, magnitude, average drought intensity, drought duration, ES and moderate drought occurrence rate is high in southern and southwestern portions of Paschim Medinipur. Additionally, the Principal Component Analysis (PCA) composite scores used to identify the drought-prone zones are estimated using the aforementioned parameters at various time steps. As the time step increases the area under the high and high moderate drought prone zone decreases, but very low and low drought prone area increases. Overall 16% area is found under high to high moderate drought prone category, whereas, approximately, 65% area is found under the low to low moderate drought category. The outcome of this research may be helpful to combat with drought and to make a fruitful move to manage water resources in the Paschim Medinipur region, West Bengal. Additionally, the study makes use of a superb methodology to comprehend the spatiotemporal variation of meteorological drought, which is applicable to all parts of the globe.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129530699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Site Suitability Analysis for Surface Irrigation using GIS, Remote Sensing, and Analytical Hierarchy Process (AHP) Integration in Wama Watershed, Western Ethiopia","authors":"D. Burayu, Kitessa Shiferaw","doi":"10.21523/gcj3.2022060104","DOIUrl":"https://doi.org/10.21523/gcj3.2022060104","url":null,"abstract":"The study integrates GIS, Remote Sensing and Analytical Hierarchy Process (AHP) to evaluate suitable sites for surface irrigation by taking eight parameters into account, including slope, elevation, distance to water source, land use, soil texture, soil type, soil depth, and soil drainage in Wama watershed. A numeric range was created by standardizing each parameter to a single measurement scale, with higher values denoting more suitable and lower values denoting less suitable one. The final site suitability map was prepared in GIS environment by using the weighted overlay method. Distance to streams (44%), slope (18%), elevation (13%), LULC (13%), and soil drainage (5%) scored highly in the pairwise comparison matrix. Additionally, they are the most crucial elements in evaluating eligible lands for surface irrigation, followed by soil depth (4%), soil type (3%), and soil texture (2%). The final suitability map, which will aid in supporting rain-fed agriculture by surface irrigation, was developed with four classifications highly suitable (16%), moderately suitable (49%), marginally suitable (34%), and not suitable (1%). Therefore, this study demonstrates a robust method of using GIS and remote sensing techniques, which is efficient and useful in mapping potential site suitability for surface irrigation and an important guideline for planners, and decision-makers to give the fast decision for irrigation management.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134512076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal Change Assessment of Lake Beseka, Ethiopia Using Time Series Landsat Images","authors":"Tewabe Melkamu, M. Bagyaraj, Melkamu Adimaw","doi":"10.21523/gcj3.2022060103","DOIUrl":"https://doi.org/10.21523/gcj3.2022060103","url":null,"abstract":"Changes in lake surface area and fluctuations in water levels are common especially in the Ethiopian Rift Valley region. The aim of this study was to present the spatiotemporal changes of lake Beseka from 1985 to 2020 using multi-temporal Landsat images. Four spectral water indices, namely Normalized Differential Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI) and Automated Water Extraction Index (AWEI) were used for the extraction of the lake water. The results of the study show that lake Beseka has tended to expand significantly and strongly over the past 35 years. During 1985, the lake surface area was around 30.9km2 and within the next 35 years, the lake surface area increased by 18.18 km2and in 2020, its surface area is about 49.1 km2. lake Beseka shows 0.2412km2 area change from 2015 to 2020. This indicates lake Beseka has a decreasing trend of expansion compared to its history. However, the topography of Lake Beseka is lower in elevation a small water level rise in the lake can cover a large area and lead to significant impacts on the surrounding environment. Therefore, the monitoring of lake surface changes by multi-temporal satellite images is very necessary and of decisive importance.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122697120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Hydrogeological Behavior of Springs in Face of Rainfall Fluctuations in the Plain of Fez and its Middle Atlas Border, Morocco","authors":"Z. Qadem, A. Qadem, M. Lasri, K. Obda, Ferdaous Lakhili","doi":"10.21523/gcj3.2022060102","DOIUrl":"https://doi.org/10.21523/gcj3.2022060102","url":null,"abstract":"The scarcity of water resources presents the most threatening risk and its effects are beginning to affect several regions of the planet. It cannot be denied that Morocco, due to its location in the south of the Mediterranean, has been affected by these climatic trends of which the plateau de Sais offers a good example by its location in the center of the country and by its wealth of superficial and groundwater resources. In recent decades, this plateau has experienced water stress, particularly in its groundwater reserves. It has been manifested by the decrease in flows from several springs or even total drying up in particular after successive periods of unusual drought, which marked the whole of the country after the 1980s. It is in this perspective this study aims to understand the behavior of the hydrogeological functioning of the springs located in the plain of Fez and its middle Atlas borders. Its geological complexity, as well as the abundance of carbonate rocks and the presence of volcanic basalt flowing from South to North have favored the resurgence of several springs of different flows and with a hydrological regime influenced according to the years and seasons by rainfall inputs. All these physical factors as well as human intervention on the hydrosystem through hydro-agricultural activities influence the behavior of the hydrological functioning of these springs.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115331801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial Analysis of Groundwater Qualities in Vempalle Mandal of YSR District, Andhra Pradesh, India using Geospatial Techniques","authors":"C. Krupavathi, S. Gowd, P. R. Kumar, G. Vijay, B. Kumar","doi":"10.21523/gcj3.2022060101","DOIUrl":"https://doi.org/10.21523/gcj3.2022060101","url":null,"abstract":"The present study analyses the spatial variations of groundwater qualities in the Mogamureru basin of the Vempalle Mandal, YSR district of Andhra Pradesh, South India. Twenty-two groundwater samples from the post-monsoon season collected in January 2020 and tested in the laboratory for chemical analysis including Carbonate (CO3-), Bicarbonate (HCO3-), Magnesium (Mg2+), Chloride (Cl-), Calcium (Ca2+), Sodium (Na+) and Potassium (K+). The spatial variations in quality parameters mapped using interpolation technique in ArcGIS software. Water Quality Index (WQI) calculated for quality analysis and four groundwater samples classified into very poor category and eighteen samples are unsuitable for drinking purpose. The usage of groundwater for drinking purpose needs a proper water quality treatment for better health implications. The methodology adopted in this study has been found to be effective and can be used to establish strong water quality monitoring network in similar areas.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126742206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monsoon Variability Reconstructed from Sedimentological and Mineral Magnetic Studies from Vaghad Tank Deposits, Nashik District, Maharashtra","authors":"Arun Magar","doi":"10.21523/gcj3.2021050204","DOIUrl":"https://doi.org/10.21523/gcj3.2021050204","url":null,"abstract":"An attempt made to reconstruct the monsoon variability using sedimentological, geochemical and mineral magnetic studies from deposits in Vaghad Tank, Nashik district, Maharashtra (India). The ~140 years multi-proxy data of the 3.3 meter thick sedimentary section of the tank exhibits some minor changes in sediment characteristics up to the depth of ~150 cm. The grain-size analysis and mineral magnetic studies of 67 samples of sediment suggests that, the sediment dominated by clay. Overall, sedimentary profile does not exhibit any systematic trend in the sediment properties. Finally, the present study concludes no significant changes in the past monsoon conditions have been occurred during the last century but some minor changes in the hydrodynamic conditions have been noticed during the last few decades.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115853222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geoelectrical Survey for Evaluation of Groundwater Potential Within the Basaltic Terrain of Chikotra River Basin, Maharashtra (India)","authors":"K. Tahama, G. Gupta, J. D. Patil","doi":"10.21523/gcj3.2021050203","DOIUrl":"https://doi.org/10.21523/gcj3.2021050203","url":null,"abstract":"Geoelectrical data was acquired using Wenner array over 23 sites with constant electrode separation of 70 m over Chikotra Basin, Dist. Kolhapur, Maharashtra (India). The spatial variation maps of resistivity at depths from 2 to 70 m were plotted using Inverse Distance Weighted (IDW) technique for interpolation in ArcGIS 10.5 to obtain a comprehensive subsurface hydrogeological representation of the study area. High resistivity (>140 Ωm) up to 20m depth, indicative of massive basalts is deciphered towards the NE part of the study area, while the NW sector reveal low resistive (up to 40 Ωm) feature at shallow depths due to fractured basalts, thus conducive for groundwater exploration. Alluvium deposits and columnar jointed basalts in the central part depicts as EW trending conductive (< 30 Ωm) feature suggesting prospective groundwater zone. Low resistivity (6-50 Ωm) from shallow to deeper depths (up to 70m), in the southern region can be identified as potential aquifer system. Longitudinal geoelectric cross-sections are generated over four profiles to identify the lateral and vertical variation in geology and groundwater potential zones. The western and central part of the northern profile (A-A') is highly resistive with resistivity of the order of 80-140 Ωm constituting compact basalts and thus devoid of water. Low resistive zone (30 Ωm) in the eastern part suggests groundwater at shallow depths. Low resistivity zones ranging from 10-50 Ωm is observed at different depth levels over the central profile (B-B') which can be tapped for groundwater exploitation. Several sites over profiles C-C' and the southern-most D-D' suggest promising aquifer zones. Because defining prospective groundwater zones in hard rock terrain is difficult, it’s crucial to look into a river basin’s hydrogeological arrangement early on in the planning process.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"24 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133938677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterization and Quantification of Meteorological Drought in the Oued El-Abid Watershed, Central High Atlas, Morocco (1980-2019)","authors":"Elhoucein Layati, A. Ouigmane, A. Qadem, M. El Ghachi","doi":"10.21523/gcj3.2021050201","DOIUrl":"https://doi.org/10.21523/gcj3.2021050201","url":null,"abstract":"The present study is focused on analysis of rainfall in the Oued El-Abid watershed, which is characterized by an important potential in water supply of the Bin El Ouidane dam and the recharging groundwater of the plains downstream. The aim of the present research is to characterize the meteorological drought in the Oued El-Abid watershed, located in the Beni Mellal-Khenifra region (Central High Atlas, Morocco). The study focused on the analysis of the meteorological drought detection indices such as the deviation from the mean (DM), the rainfall index (RI) and the standardized precipitation index (SPI) based on annual precipitation for the three stations (Tilouguit, Ait Ouchen and Tizi N'Isli) generally experienced alternating periods of surplus and deficit. The results of these indices allowed us to determine the most remarkable and common drought years are: 1981, 1983, 1990, 1998, 2001, 2005, 2017 and 2019. This study is helpful for water resource managers to make decisions and develop tools for adaptation and mitigation of climate change impacts.","PeriodicalId":318194,"journal":{"name":"Hydrospatial Analysis","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121471655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}