Prevailing trends of climatic extremes across Indus-Delta of Sindh-Pakistan

This study examines the variability and change in the patterns of climatic extremes experienced in Indus-Delta of Sindh province of Pakistan, comprising regions of Karachi, Badin, Mohenjodaro, and Rohri. The homogenized daily minimum and maximum temperature and precipitation data for a 36-year period were used to calculate 13 and 11 indices of temperature and precipitation extremes with the help of RClimDex, a program written in the statistical software package R. A non-parametric Mann–Kendall test and Sen’s slope estimates were used to determine the statistical significance and magnitude of the calculated trend. Temperatures of summer days and tropical nights increased in the region with overall significant warming trends for monthly maximum temperature as well as for warm days and nights reflecting dry conditions in the study area. The warm extremes and nighttime temperature indices showed greater trends than cold extremes and daytime indices depicting an overall warming trends in the Delta. Historic decrease in the acreage of major crops and over 33% decrease in agriculture credit for Sindh are the indicators of adverse impacts of warmer and drier weather on Sindh agriculture. Trends reported for Karachi and Badin are expected to decrease rice cultivation, hatching of fisheries, and mangroves forest surrounding these cities. Increase in the prevailing temperature trends will lead to increasingly hotter and drier summers resulting to constraints on cotton, wheat, and rice yield in Rohri and Mohenjodaro areas due to increased crop water requirements that may be met with additional groundwater pumping; nonetheless, the depleted groundwater resources would have a direct impact on the region’s economy.     

Sediment yield assessment and identification of check dam sites for Rawal Dam catchment

Sediment yield is the amount of erosional debris from drainage basin deposited in reservoirs. The economic life of storage reservoir depends upon the estimation of the time it takes for the reservoir to be filled with the deposition of sediments. This research is based on assessing the sediment yield in Rawal Dam catchment by using Soil and Water Assessment Tool (SWAT) model. Digital Elevation Model (DEM), land use maps, soil maps, and weather data of the study watershed were used as input to SWAT model. Monthly sedimentation data of year 2010 and discharge data from 1998 to 2005 is being used for model calibration and validation, respectively. Whereas simulations are being generated from 1998 to 2011 for both sedimentation and discharge. Modified Universal Soil Loss Equation (MUSLE) was used for the estimation of sediment yield. The Nash and Sutcliffe coefficient of the model was found to be 0.79 which depicts its effectiveness. After the estimation of the sediment yield and discharge by using SWAT model, double mass curve was used to evaluate the sedimentation rate. The rate of sediment transport can be reduced by the construction of check dams. Various sites have also been proposed for check dams construction to prevent the sediments transported into the Rawal Catchment.     

Geochemistry and petrology of Late Miocene-Pleistocene Dibdibba sandstone formation in south and central Iraq: implications for provenance and depositional setting

Major, trace, and some rare earth element compositions in clastic sediments of the Dibdibba Formation (Late Miocene-Pleistocene) in central and southern Iraq have been investigated to describe the sedimentary environment and provenance. These sediments are classified as subarkosic to arkosic with few sublithic arenite, lithic arenite, and gray wacke; they are mainly composed of quartz (Q) followed by feldspar (F) and rock fragments (L) with a petrologic composition of Q73-F21-L6. The Arabian Shield is a probable source of the studied sediments which are derived from multi-sources including igneous rocks (felsic to mafic) and metamorphic rocks and were transported by river currents towards the northeast. Eventually, the clastic sediments were deposited in a fluviatile environment covering a wide area in Saudi Arabia, Kuwait, Qatar, and Iraq during the Late Miocene-Pleistocene. They were developed on a passive continental margin under a semi-humid climate alternating with drought periods. The grain size analysis indicates that Basra in the south of Iraq is close to the source, but Karbala and Najaf in central Iraq are farthest from the source.     

Induced mutation and in vitro techniques as a method to induce salt tolerance in Basmati rice (Oryza sauva L.)

Embryogenie callus of indica rice (Oryza sativa L.) cv. Basmati 370 induced on MS medium containing 9.05 μM2,4-D was irradiated at 50 Gy of gamma rays of ⁶⁰Co for creating genetic variability against salinity. Irradiated and non-irradiated calluses were screened in vitro through three consecutive proliferation phases at 4.0, 6.0, 8.0 and 10.0 d/Sm electrical conductivity of NaCl. Growth value and number of adapted mutagenized callus was more than that of non-mutagenized callus. Salinity levels beyond 6 d/Sm and 8 d/Sm were lethal to growth and adaptation of non-irradiated and irradiated callus respectively. NaCl adapted irradiated callus showed 2.0%–4.75% regeneration frequency on MS regeneration medium containing 5.37 MNAA and 9.29 μMKinetin. Non-mutagenized salt adapted callus did not show any regeneration. From gamma ray mutagenized cultures, 2 putative lines (M₂ generation) with moderate salt tolerance were obtained at seedling stage. The results suggest that in vitro technique in connection with gamma rays may be used as a versatile approach to improve the level of salt tolerance in Basmati rice for saline environment.     

Application of gravity and magnetic methods for the crustal study and delineating associated ores in the western limb of Hazara Kashmir Syntaxis,Northwest Himalayas,Pakistan

The present geophysical study deals with the ores and crustal demonstration of southeastern Hazara and its adjoining areas of Azad Jammu and Kashmir, Pakistan, on the basis of terrestrial gravity and magnetic data. Tectonically, the study area lies in the Lesser Himalayas as well as to an extent in the sub-Himalaya, more specifically in the western limb of Hazara Kashmir Syntaxis. In this study, 567 gravity and 508 magnetic stations have been measured with CG-5 gravimeter and proton precession magnetometer, respectively. The collected data have been processed by applying standard corrections and then different types of maps were prepared. The ores in the area have been delineated by the qualitative interpretation of residual Bouguer anomaly and reduction to pole total magnetic intensity maps, whereas regional structures are demarcated by the Bouguer anomaly and regional Bouguer anomaly maps. The positive contour closures on the residual Bouguer anomaly map indicate the iron ore and phosphate, whereas negative contour closures are the effects of low-density material which consists of gypsum and soapstone. The pole-reduced total intensity map also shows the negative and positive contour closures almost in the same localities and confirms the residual Bouguer anomaly map. The geological model computed on the basis of Bouguer anomaly demarcated a series of faults between different rock units in the study area. The Kashmir Boundary Thrust cuts the western limb of Hazara Kashmir Syntaxis near the apex in the north of Muzaffarabad and marks the boundary between Murree Formation and carbonates of Abbottabad Formation. The gravity model also suggests that the thickness of the crust increases towards the northeast.     

Comparative Analysis of Salt Structures in the Southern North Sea,Dutch Offshore,the Netherlands

Geotectonics - Comparative analysis of three randomly chosen salt structures (diapir A, diapir B and diapir C) of the Southern North Sea has been presented through the interpretation and...     

青藏高原中部色林错湖泊沉积物色度反映末次冰盛期以来区域古气候演化

色林错湖位于青藏高原内部,是西藏第一大咸水内陆湖。研究区剖面选自色林错第三湖泊阶地,利用常用气候替代指标色度,结合粒度、碳酸盐含量［CaCO³（%）］、矿物分析和全有机质（TOC）等进行对比分析,同时采用¹⁴C测年方法对剖面进行准确的年代划分,初步探讨了末次冰盛期以来色林错湖泊沉积物色度增强机制的差异性。研究表明： a^*、b^*与中粗粒砂、磁化率具有较好的相关性;亮度L^*与CaCO³（%）具较好相关性;因而沉积物色度变化可反应区域古气候变化。同时对湖泊沉积物矿物分析发现,影响色度变化的制色矿物主要是针铁矿,且以还原环境为主。红度a^*高值与亮度L^*低值对应气候暖湿气候环境,沉积物粒度较粗,碳酸盐含量低,有机质含量高,磁化率较高值;反之,红度a^*低值,L^*高值,粒度较细,碳酸盐含量高,有机质含量低,磁化率低值,对应干冷气候。在17.4～15.5 cal ka BP阶段,对应干冷的气候特点;在15.5～10.4 cal ka BP阶段,对应温暖湿润的气候;在10.4～5.2 cal ka BP阶段,整体属于温暖湿润的气候特点;其中,在9.7～9.4 cal ka BP和8.75～8.5 cal ka BP为两个重要的冷事件,属于干湿的气候特点;在5.2～1.2 cal ka BP阶段,反映了干冷的气候特征;在4.3～4.0 cal ka BP,3.3～3.0 cal ka BP和2.4～1.75 cal ka BP,反映了干旱温暖的气候特点;在1.2 cal ka BP以后,色林错湖湖水迅速下降。     

Step-wise Land-class Elimination Approach for extracting mixed-type built-up areas of Kolkata megacity

The extraction of urban built-up areas is an important aspect of urban planning and understanding the complex drivers and biophysical mechanism of urban climate processes. However, built-up area extraction using Landsat data is a challenging task due to spatio-temporal dynamics and spatially intermixed nature of Land Use and Land Cover (LULC) in the cities of the developing countries, particularly in tropics. In the light of advantages and drawbacks of the Normalized Difference Built-up Index (NDBI) and Built-up Area Extraction Method (BAEM), a new and simple method i.e. Step-wise Land-class Elimination Approach (SLEA) is proposed for rapid and accurate mapping of urban built-up areas without depending exclusively on the band specific normalized indices, in order to pursue a more generalized approach. It combines the use of a single band layer, Normalized Difference Vegetation Index (NDVI) image and another binary image obtained through Logit model. Based on the spectral designation of the satellite image in use, a particular band is chosen for identification of water pixels. The Double-window Flexible Pace Search (DFPS) approach is employed for finding the optimum threshold value that segments the selected band image into water and non-water categories. The water pixels are then eliminated from the original image. The vegetation pixels are similarly identified using the NDVI image and eliminated. The residual pixels left after elimination of water and vegetation categories belong either to the built-up areas or to bare land categories. Logit model is used for separation of the built-up areas from bare lands. The effectiveness of this method was tested through the mapping of built-up areas of the Kolkata Metropolitan Area (KMA), India from Thematic Mapper (TM) images of 2000, 2005 and 2010, and Operational Land Imager (OLI) image of 2015. Results of the proposed SLEA were 95.33% accurate on the whole, while those derived by the NDBI and BAEM approaches returned an overall accuracy of 83.67% and 89.33%, respectively. Comparisons of the results obtained using this method with those obtained from NDBI and BAEM approaches demonstrate that the proposed approach is quite reliable. The SLEA generates new patterns of evidence and hypotheses for built-up areas extraction research, providing an integral link with statistical science and encouraging trans-disciplinary collaborations to build robust knowledge and problem solving capacity in urban areas. It also brings landscape architecture, urban and regional planning, landscape and ecological engineering, and other practice-oriented fields to bear together in processes for identifying problems and analyzing, synthesizng, and evaluating desirable alternatives for urban change. This method produced very accurate results in a more efficient manner compared to the earlier built-up area extraction approaches for the landscape and urban planning.